| 1Stop |
The Entertaining 3 |
Mount Gambier |
6 |
3 |
This app would show all trams and train locations near you. It would also show where a historical location like a museum and then show the quickest route to it. You can also track your tram or train as it is on the go with our state of the art GPS tracking technology. We have taken the data from maps of Adelaide as well as the transport data to put it together to create our app. We have also taken some tourism data from coast lines and used it for our numbers. |
| Accessible Toilet Finder |
inclusivIT |
Sydney |
7 |
10 |
**Our Project**
When you have to go, you have to go! But where to go?
When travelling on public transport, this can be a challenge for people with less mobility needing to use an accessible toilet – that’s where we come in.
The project makes data useful for people who need to find accessible toilets in different locations when they are using public transport. It is a small solution to a big problem: the call of nature cannot be ignored! So we’ve created a ‘map app’ and this is how it works:
*Main Functions*
- Our user can see all the train stations, wharfs and light rail of NSW (including interstate destinations)
- Our user can filter the results to show only stops with accessible toilets
- Our user can select location by address
- When clicking a marker on the map, the user can see more information about accessibility and facilities on that location
- Our user can filter by one or more facilities or accessibility (to be implemented)
- Our user can use current location (to be implemented)
*Technical Aspects*
- Markers are displayed using Google Maps API
- Location and Information about facilities and accessibility are retrieved from a NSW Government dataset
- Dataset: https://opendata.transport.nsw.gov.au/dataset/public-transport-location-facilities-and-operators - File [LocationFacilityData.csv] downloaded on 7/9/19 from Transport for NSW's Open Data Portal.
*Tehnologies used*
- HTML, CSS, JavaScript
- Knockout.js
- JSON
- Google Maps API
*Our Team*
Our team, inclusivIT, is a bunch of web students past and present, their teachers and a couple of non-IT members thrown in for good measure. People of all ages and abilities – a cheerful bunch! We wanted our project to be something that would foster an inclusive community and enhance the use of public facilities for people living with a disability. Our inspiration came from one of our team members – her name is Irena and she is profoundly deaf. When we asked Irena to be part of the team, she must have been apprehensive. How to be part of a group that thrive in noise when you are locked in silence? And we were apprehensive too. We wanted her to feel welcomed but did not know quite how to engage with her in a genuine and congenial way. If it started out a bit awkward, we soon forgot about any difference. We used our mobile phones and Slack app to type messages back and forth, it was easy, we had a lot of laughs - although a person we should not name was a bit slow on the fingers’ work and chose to use the good old pen and paper to ‘talk’ to Irena. We won’t judge that person: we’re all for inclusion!
*Team Logo*
We have tried to convey the idea of inclusion to our team name and logo. Our logo depicts people of different colours forming a closed circle; this represents people of all abilities, background, age, sex, etc (you get the drift) coming together in unison. inclusivIT combines the word inclusiv (a bit of a licence on the spelling of inclusive - hope the purists will forgive us) and the word IT (pronounced as one word - it). We are after all IT passionates, (minus a few) and we have been using technology throughout this project and this short journey. inclusivIT depicts a human-centric approach to the design of solutions.
*Project Logo*
Accessible Toilet Finder: the name says it all and the image reinforces the message. We have kept our logo simple and unequivocal and the use of only two colours helps with clarity. **Dataset from Data.NSW** provides facilities of accessible toilets at available train stations.
The Dataset, originally a csv file, was converted to JSON and integrated with Google Maps API
* Latitude and longitude columns were used to generate markers on the map
* Facilities and Accessibility columns were used to populate the markers information box
**Dataset from ABS** (Australian Census Longitudinal Dataset) provides a snapshot of the number of people with disabilities who were not provided assistance 2006-2011.
From a total of 14.8 millions, unpaid assistance to 12.5 million Australians with disabilities were not provided.
Datasets:
https://opendata.transport.nsw.gov.au/dataset/public-transport-location-facilities-and-operators - File [LocationFacilityData.csv] downloaded on 7/9/19 from Transport for NSW's Open Data Portal. This is a NSW Government dataset.
http://stat.data.abs.gov.au/# - Australian Census Longitudinal Dataset (ACLD): Unpaid assistance to a person with disability, 2006-2011.
*Our Vision*
We consider this project to be the start of a conversation. How can we enhance the quality of living in our communities for people who are less able? How can we engage with government services and businesses to promote solutions for our neighbours and friends who struggle at times to do the things that we all take for granted.
Our app is a start that can be upgraded to include real time data of staff availability on more remote train platforms as well as availability of lifts. It can include sensors along pathways and roads to guide the visually impaired, to make ordering at restaurants and fast food outlets easy, to order a taxi, to find disable access to buildings. With current technology including IoT, Big data, and a wide variety of analytics software, increasing connectivity and open data, there is a way: we now need to find the will.
|
| Ahead Above Water |
Ahead Above Water |
Brisbane |
7 |
7 |
Our Aim is to link relevant, compelling, local climate data to interested parties via provocative interactive artwork. The artwork will link to relevant geo targeted data in the form of a website via mobile device QR scanning. Using BOM, CSIRO and openAPI data from Australia wide resources we have provided a means of presenting a digestible form of this data to locals in the Noosa Area, but this project could be applied to any Australian region. |
| Alexa ABS Game |
The Henderson Family |
Bunbury |
1 |
1 |
I created an Alexa skill which quizzes players on their understanding of Australian statistics.
This enables people of all abilities and education levels to interact with Alexa to learn about Australia. I used general statistics available from the ABS website. The link is:
https://itt.abs.gov.au/itt/r.jsp?databyregion#/ |
| Ándale |
The Artful Bodgers |
Sunshine Coast |
4 |
5 |
Andele is a prototyping idea for a public transport mobile phone application. We believe that, by creating a new and more informative user experience when it comes to public transport, we can encourage more commuters to make use of public transport, thereby reducing traffic congestion and greenhouse gas emissions. With the inclusion of low/no emission buses in many metropolitan areas, the more commuters we can get using public transport, the better. Data collected over the new service will also allow service providers to make more informed decisions on how best to provide, alter or expand their services to meet the needs of commuters. Data obtained from Open Data sources was manipulated in excel for validation and refinement to regional and time scales we considered useful for our project. Data was obtained on many different topics including customer satisfaction for public transport users, metropolitan vehicle counts, statewide collisions, nationwide census data on work commutes, and live feed data for QLD and NSW Public Transport services.
Having refined the data in excel, .csv files were read into RStudio to provide graphical representations and to model potential impacts of increased public transport usage in the coming years. |
| Aotearoa Māhanga Matihiko |
AMM |
Whanganui |
4 |
|
Following on from the LINZ 2015-2016 Smart Cities Programme, in particular the Christchurch solution, the concept of creating a 3D Digital Twin [Māhanga Matihiko] virtual view of New Zealand is evolving. One of the key components of such a solution would be the enablement of the spatial visualisation of real time environmental attributes/data (e.g. those collected by local, regional and central government) to better inform the populace. The Digital Twin concept differs from the Christchurch solution where the environmental datasets are accessible via their menu based SmartView app for devices.
The AMM team decided to develop a proposal over the GovHack 2019 weekend based on flood inundation on the central Whanganui metropolitan area. The scenario selected for the proposal was for the impacts of a 1 in 200 year storm event on the availability of the roading network.
The worked example showed the benefits of being able to assess the actual and predicted impacts from the flood event together with constraints in place on the roading network at the same time to keep safe during the flood event.
The outcome demonstrated that by having visibility of the integrated data, a journey from a work location to a home location on opposite sides of the river which ordinarily would have been available was not. The best option identified to keep safe was to proceed straight to an emergency centre.
Flood maps for the Whanganui River were sourced from the Horizons Regional Council website and used as the base map for the scenario.
Initially the team explored Stats NZ data for populace work/home locations to add to the base map to develop an example to show the benefits of a Digital Twin for all four challenges but, unfortunately, these were only available at mesh block level.
Whilst Brent Watson from Horizons was in attendance at the event he added value by showing the team where to source real time and predicted flood gauge info from their website. He also directed the team to their time lapse cameras which provide live feeds of the river. Both of these data sources were utilised by the team in developing the example.
Stats NZ advised that they should be able to provide the locations of emergency evacuation centres to add to the base map. However as they only had the Wellington area available their locations were sourced from the Whanganui District Council website instead.
The video presentation was developed using the Adobe Spark online application. |
| Aquavo |
Aquavo |
Adelaide |
5 |
1 |
Aquavo is a crowdfunding charitable organization to purchase/reserve water for more water-efficient usage and environmental water.
Through algorithmic trading, we will optimize the amount of water preserved and redistribute water to encourage water efficiency.
Contributors will subscribe while being incentivized by tax reduction, carbon offset credits, and educational impact. Furthermore, this helps with the social image of the contributors and can raise awareness regarding water resources. AquaAlgo water trading system purchases water allocation credits using data science to optimize the contribution to efficient use and environmental water flows. This Machine Learning system analyzes data such as the river flow, rainfall amount, water trading prices, weather forecast, and Natural Language Processing analysis of River Murray flow reports.
Tables created are in the following links (also included under evidence of work):
https://public.tableau.com/views/MurrayFlows/Sheet1?:embed=y&:display_count=yes&:origin=viz_share_link
https://public.tableau.com/views/RainfallTrade/Sheet2?:embed=y&:display_count=yes&publish=yes&:origin=viz_share_link
https://public.tableau.com/views/TheRelationshipbetweenPricesandTradeVolumes/Sheet1?:embed=y&:display_count=yes&:origin=viz_share_link; https://public.tableau.com/views/Salinity_15678321275290/Sheet1?:embed=y&:display_count=yes&:origin=viz_share_link |
| AqWatch |
USC Innovative Engineers |
Sunshine Coast |
6 |
3 |
Team:
Shaun Hayward: hardware/software
Jonard Erro: data collation
Jarred Cooper: videography and website design
Jordan McKenzie: project direction, script and narrator
This device monitors and displays water consumption. It includes both household daily and weekly usage, as well as a comparison with community average consumption. The display also incorporates a daily tip for the user dependent on predicted rainfall for the next 72 hours. It may, for example, inform you that since a substantial amount of rain is expected, it is alright to use your tank water. It could also encourage holding off on washing the car, or when rain is not expected, to check and fix leaking taps. The device itself will update every 15 minutes from the water meter, for analysing consumption for various tasks, such as using the dishwasher, washing machine, or having a shower. This allows users to see spikes and where they can cut back, which is both an environmental benefit, as well as a personal financial benefit.
The primary aim of this device is to allow people to become aware of their water usage, identify spikes in consumption, and in turn be more efficient in their use.
Data will be pulled from the Bureau of Meteorology for rainfall predictions, and in turn the daily tips. Dam level and household consumption data is pulled from seqwater, informing regional usage. Dashing was used for the framework for the device, with it being powered by Batman.js.
Since this device was designed for the general public, our goal was to create a friendly user interface, displaying only the important information required in order to optimise water usage.
Weekly summaries of this data will be sent to residents via email or post, and include personal household consumption trends, as well as regional and nationwide to see how they compare. A website has also been created that incorporates this data, as well as water saving tips, future projects being undertaken, and community events.
Since this monitor is built for the resident, our goal was to create a friendly interface, displaying only the important information required in order to optimise water use. The resident will log in once creating an account, which requires only an email, password, suburb, and residence type. The latter two data will be used when bringing in regional averages, weather forecasts, and benchmarks or restrictions. The user will select the number of occupants, which then automatically calculates an average starting benchmark to strive for. From there the display shows all the relevant data in a colourful, aesthetically pleasing structure. No interaction is required from the resident to update the data.
One feature that could be added with an extended period for design would be to incorporate higher degrees of analysis with a predicted hydrograph. For example, if no rainfall is expected, the dam levels will decrease, and restrictions could be implemented.
This device benefits the household user financially, as well as providing a greater environmental impact for the region through showing how we use our water, encouraging wise consumption, and planning for the future.
Homepage/Website can be found on our GitHub page "index.html" SEQ Water Consumption Update - used to display a percentage of individual use against a community average. This encourages the consumer to reduce water use by creating a sense or community belonging.
Queensland 7-day Forecast - used to understand the likelihood of rainfall over the next few days. This enables users to modify their behaviour based on the short term forecast.
SEQ Water Real-time Dam Level - used with "Water for life" drought response triggers data to provide users with current and expected water restriction levels.
Data Process Summary:
Benchmark for personal water consumption per day based on dam level (e.g 50% full – 150 L/day/person) was pulled out from SEQ Waters Planning Program document.
This will provide the standard restrictions applied into the analysis. Real-time dam levels data from SEQ waters was downloaded and further delimited to dams that supplies the Sunshine Coast Region which are Cooloolabin, Poona, Wappa, and Baroon Pocket. As the dam level data updates, corresponding benchmark will be projected on the user interface. The regional water consumption summary data also comes from SEQ waters to provide comparison of the individual household consumption to region’s average.
Moreover, BOM weather forecast was also utilised to provide 3-day rainfall forecast for the region. This provides details to predict the reservoirs/dam volumes and further notify the consumers of any tips e.g not watering their plants because substantial amount of rain was predicted.
|
| Are you really going to drive tomorrow? |
Rufus! (from accounting ...) |
Adelaide |
8 |
19 |
"Are you really going to drive tomorrow?" combines a geospatial analysis of commute options with a statistical model to support an AI recommender for social nudge and incentive based behavioural change.
The return on investment has been maximised by targeting the highest value times for road users to select alternatives ahead of time. This return on investment can be measured on economic terms but also by using the NSW Human Services Outcomes Framework to realise health, social and community benefits. We set out to ask: Are you really going to drive today? AI can predict the days when traffic is going to be really congested. Governments have good cause to invest in incentives to reduce this congestion. Small changes on the busiest days can deliver huge benefits, both in economic terms, and using the New South Wales Human services outcomes framework. A number of social nudge and incentive based systems are shown influencing transport choices.
So, how did we choose our data?
-travel patterns analysed and then cross referenced that with the tendency for some routes to get very slow at peak times.
- AI model could predict congestion and we have demonstrated a statistical relationship between rainy days and higher traffic congestion.
-ABS data allowed us to select suburbs where a number of commuters originate.
We built a custom statistical model which indicates routes where travel times are more likely to spike during congestion.
We selected 3 source suburbs of interest based on these visualisations and then used Google Maps to find the actual routes.
This allowed us to estimate the travel time for cars, trains and cyclists on each route – the car time varies a lot based on how busy it is. This supported our travel times analysis.
We can already see that when travel times spike, due to congestion, this is the time when the most benefit can be realised from switching some car drivers to alternative means.
Convincing drivers to switch modes of transport on these days is more effective than on regular days. This correlates with the analysis of spikes in travel times observed in historical data from the Queensland government.
We constructed a radar chart using the New South Wales Human Services outcome framework to look at broader benefits, on the worked example focussing just on the switch from car to train, both on quiet and busy days. A score was allocated for each scenario on a 5% switch basis.
There are two parts to our system. The first part estimates the cost of driving (or, more accurately, the benefit of removing a car) on a given day at a given level of traffic congestion
Traffic congestion is highly non-linear with the number of cars on the road. At times of high demand, removing a small number of cars from the road can make a large difference to congestion. This estimate is the benefit of removing a single car from the road, and includes things like:
• Wear and tear on the vehicle
• Time spent commuting
• Opportunity cost of missed exercise
• Likelihood of an accident (higher during peak times)
This cost then feeds into the next component of the model
The second part of the system is a model of the user. How receptive they are likely to be to different transport modalities, their social networks, etc.
Not everyone is prepared to catch public transport, ride-share, or cycle. This is a complex model of user behaviour, personality and motivations that aims to assess what opportunities there are to nudge a given user into causing less traffic congestion. Remember that we only need to reduce traffic by 5-10% to make a huge difference to vehicle flow. We start with the most effective opportunities and go from there.
The sort of nudges that the system can give:
-Attempt to spread out commuter traffic, and hence reduce congestion, on a stormy day
-Notify people of accidents and recommend alternative routes
-Encourage potentially receptive people to use public transport
-The system will use social media connectivity to facilitate carpooling and other network benefits. This will require a reputation to ensure a good experience.
-allow social media and community integration, allowing the system to facilitate ride-sharing and reputation management – this is an important feature for building trust in a rideshare system
- gives rewards, which helps build awareness and prestige
-also nudge towards active transport for receptive users.
-Sharing achievements to social media helps build awareness and prestige around other options
-The model identifies people who might consider active transport, and for whom this would be a good transport option
The system can suggest public transport alternatives to receptive people when needed. Again, it can recommend and facilitate carpooling.
The system identifies which people have similar work times and journey termini, as well as using social networks to identify people in, or close to, a person’s social network – these people will be Sam’s friends, or friends-of-friends.
Also, people get a reputation based on user-feedback – people with better reputation will be preferred.
There are also opportunities for rewards to connect with local businesses
If we tell people when congestion will be high, some will choose an alternative option.
The benefits to the community go beyond pure economic measures and align with areas of responsibility for all 3 levels of government.
Our targeted approach allows measures to be taken on the days where the return on investment will be highest.
After all you now know, Are you really going to drive today?
|
| Audio, meet Building |
MALINGAring |
Fremantle |
10 |
5 |
**Audio, Meet Building** is the tourism app that tags Australia’s heritage sites with contemporary storytelling.
Walking tours add context to place. They bring it to life. Our idea is to provide a rich tourism experience that lets locals add their own personal histories to buildings they have a history with. Some buildings will be historically significant, with data sourced from heritage databases. Others will be pubs, takeaway food joints or beaches, collected via the Google Maps API.
You land in a new city and start exploring the map. The darker the tag, the more visited the place is. The app will ping you when you walk past a building with a cool history. When you follow a marker you get an explanation, a choice of audio grabs and a social media feed. Audio is categorised - so for example, young people can listen to young people’s stories. People can theme their own tourism experience.
After you’ve listened, upvote the audio you like. And add your own history. If you know it was a secret make-out spot for teens, add that in. If your Dad was there when the bikies raided the place, add that in. And share on social media.
We’re building an evolving history of place. Location data, oral histories, social media and contemporary stories. Replacing a single source of authority and passive information - with engaging multi-channel wisdom of the crowd. And a new rich source of data for tourism organisations.
*In the future we hope to include other social media sites and sources such as Trove to provide greater context for each heritage site. We also plan to expand our collection of locations to include interstate sites and sites of Indigenous significance.* We used the Heritage Council WA State Register to retrieve basic name and coordinate information about each of Western Australia's heritage listed sites. We determined the centroid of the geographic polygons associated with each site, and used this to query the Twitter API for any geotagged tweets within a kilometre. We calculated a popularity index from the number of tweets, favourites and retweets, which was used to color-code points on the map. We prototyped a web site for the user interface, and designed a layout for a mobile application. This includes buttons for users to contribute their own memories to the folk history of the site, categorise entries, and vote on stories they like. The Google Maps API is used to display markers, and descriptions are currently sourced from Wikipedia. |
| Aug View |
My Tech |
Gold Coast |
4 |
6 |
Visualizing Underground Assets using Augmented Reality and Data sets from Gold Coast. Visualize Underground Assets using Augmented Reality
Reduce Time and Money for Maintenance Workers
Cable and Pipe Connections Made Easy
Real Estate buyers can look at underground assets before they buy
Dial before Dig can be made easy
Easy to locate underground assets during disaster time
|
| Australian InduStory |
CamBamBaJam |
Ballarat |
4 |
4 |
A cohesive story about the past & present of businesses in Australia. Homogenises, contextualises & visualises a number of disparate datasets, namely the Sands & McDougal business directory data, TM-Link trademark records data, ABN register data and New business assistance with NEIS data. |
| Australia @ Sea |
Team Radio |
Adelaide |
1 |
4 |
In this project, we researched the issues regarding marine life and how losing coral reefs affects the shores of Australia. The solutions that were thought of including increasing awareness with people of all ages and how they can contribute to saving marine life and coral reefs. The situation is worsening due to the fact that there isn't enough awareness regarding this topic we used carbon dioxide emissions projections, sea level rising and pH level increases in the ocean and its effects |
| AutoMate |
Pinecone |
Taradale |
4 |
1 |
Team Members
Floyd Watson (Team Captain)
Simon Dolley
Shannon Roberts
Kassian Houben
Keez Eden
Jesse Gray
Travis Falkenberg
Award Categories Entered
Public Transport for the Future
Reducing CBD Traffic Congestion
Combating the Climate Emergency
Problem
Traffic congestion is increasing
People are under utilizing space in their vehicles
Underutilized public transport
Underutilized cycle lanes
Solution
Create an application that allows users to better utilize the current infrastructure.
This will be obtained through a system designed to increase car pooling and inform people about other available forms of transportation. The application consists of a car pooling "request ride" and "provide ride" section which handles the transactional part, and a public transport section. Both are displayed on a map with which the user can interact. The app also keeps track of the users carbon footprint, and the benefits of having used the app.
The future of the app includes providing a broader range of public transport methods including bike tracks and walking paths. The data our team has used in the creation of this project comes from the Auckland transport API. The data comes in a JSON format including the status of the request and any errors that occurred. A major issue while working with this API was figuring it out how to extract what we needed from the JSON format, as we had decided not to store the whole dataset on a local database. In the functional prototype (shown in the video) we are pulling in any data we need directly from the API by querying it with relevant parameters such as the users location (longitude and latitude) and which bus/train stops should appear on the map (calculated by the distance away from the user). A further use case planned for the dataset is to create routes between location and destination, based on different methods of transportation (eg: car sharing, public transport). |
| Bankruptcy – making it easier |
Alohomora |
Melbourne |
2 |
6 |
Over 100,000 Australians face bankruptcy.
Why small and medium sized businesses go bankrupt ?
Our historical data analysis shows the top reason being excessive use of credit facilities including losses on repossessions, high interest payments and high cash flow.
Is it an easy escape to declare bankruptcy ? The answer is no. There are consequences like :
Bankruptcy can impact your credit score more severely than any other single financial event.
Bankruptcy may affect your income, employment and business
Your name will permanently appear on the National Personal Insolvency Index (NPII)
It affects your ability to travel overseas
Bankruptcy can affect your ability to obtain future credit
AND Your trustee may sell your assets.
But there is still hope ! We have built an Alohomora platform. Alohomora platform that will predict, prevent and recover from bankruptcy. Alohomora platform will analyse and compare your situation with historical information and provide predictability of your bankruptcy.
We take few inputs from debters like there ABN , Debt Amount , Tax return uploads Cash inflow and outflow amount , spendings , wages paid etc .
Then at our backend calls API from AFSA - https://data.gov.au/data/dataset/attributes-of-insolvent-debtors , also calls ABN Lookup web services https://data.gov.au/data/dataset/abn-lookup-web-services and ATO APIs https://data.gov.au/data/dataset/taxation-statistics-2012-13 to calculate and provide a prediction.
Post prediction we also help debters to prevent and recover from bankruptcy by showing methods to control there spendings, credit expenses , cash flows etc. |
| Bankruptcy Prediction |
Rookie Hackers |
Melbourne |
1 |
1 |
This project is a part of GovHack 2019 Challenge. Challenge details and datasets have been provided by Australian Financial Security Authority (AFSA). Challenge aims to make it easier for people to tell AFSA their income and assets when they become bankrupt. Background
The Australian Financial Security Authority (AFSA) is responsible for regulating the personal insolvency and personal property securities regimes.
What is bankruptcy? (Source - AFSA Website)
Bankruptcy is a legal process where you're declared unable to pay your debts. It can release you from most debts, provide relief and allow you to make a fresh start.
You can enter into voluntary bankruptcy. We refer to this as a debtor's petition. It's also possible that someone you owe money to (a creditor) can make you bankrupt through a court process. We refer to this as a creditor's petition. Bankruptcy normally lasts for 3 years and 1 day.
Bankruptcy trustee
When you become bankrupt we appoint a trustee. A trustee is a person or body who manages your bankruptcy.
This can either be the Official Trustee (AFSA) or a registered trustee. You can also nominate a registered trustee of your choice.
Debtors Obligations
When you are bankrupt:
you must provide details of your debts, income and assets to your trustee.
your trustee notifies your creditors that you’re bankrupt - this prevents most creditors from contacting you about your debt.
your trustee can sell certain assets to help pay your debts.
you may need to make compulsory payments if your income exceeds a set amount.
About the data
Personal insolvencies include bankruptcies, debt agreements and personal insolvency agreements. We have provided data on personal insolvencies for calendar years 2007 to 2018. Data for 2007 are from 1 July 2007, and data for 2018 are to 30 June 2018.
When you enter into a personal insolvency, you must complete a statement of affairs. That form asks for a range of information, including your income, debts and assets. We have provided debtors’ responses from this form. We have published this information as the debtor initially reported it, irrespective of subsequent checks and revisions.
More information about the dataset can be obtained by visiting the link below:
Bankruptcy Challenge Dataset
Problem Statement from AFSA
Validate Income and Assets declared by Debtors:
When people go through personal insolvency, it could be very stressful time for them. When they complete the statement of affairs they might forget to include certain details e.g. other sources of income, all assets, etc. AFSA wants to understand how we can predict the debtors income and assets using social, employment and other insolvency related information provided by debtors.
Using Debtors information predict Income and Assets over 3 year period:
When people file for bankruptcy they are usually bankrupt for 3 years so AFSA wants to understand when their circumstances might change. Or within limits, AFSA might be able to sell their assets to repay their creditors.
Example
John is 44, a builder and is currently not working because of health problems. If he was bankrupt, how would AFSA tell if he gave AFSA accurate data when he declared bankruptcy and whether his circumstances will change over the next 3 years e.g. getting another job, buying houses or shares etc?
The Hack
As a part of this hackathon, we will fundamentally focus on Problem statement 1. We will use AFSA dataset to build a Machine Learning model to predict debtors' income category based on other socio-economic attributes described in the dataset.
This document goes through following steps:
1. Importing Dataset and Relevant Python Libraries
2. Data Cleansing and Exploratory Data Analysis
3. Feature Engineering
4. Predictive Model Building
5. Validating Model Accuracy
Now let's do the deep dive... |
| Bankrupt or Not? |
Bankrupt or Not? |
Sydney |
1 |
2 |
## Background
When an individual goes bankrupt, they go to the AFSA to declare their bankruptcy. While this becomes public information and may make it difficult for an individual to take loans or even leave the country, they are legally allowed to not pay back their debts, with the condition that they are earn below a threshold amount.
As such, it is possible that some individuals are hiding their true income/assets, and thus, deceiving other parties for their money. It is important for the AFSA to identify these individuals, and that's where "Bankrupt or not" comes in.
## How do we do it?
Validates AFSA insolvent debtors data files by performing the following:-
1. Comparing occupation, income and assets against datasets from the ATO
2. Identifies entries where debtor may be hiding their income/assets.
3. Flags these entries and provides further information.
"Bankrupt or not" helps AFSA narrow down individuals that are worth investigating a little more into, to check if their income/assets are what they claim them to be.
## Technologies used
- HTML/CSS, javascript
- React
- Python
## Datasets used
1. ASFA Insolvent debtors dataset - This helped us identify anomalies/outliers for an individual compared to others with similar attributes (occupation, dependents, income, assets)
2. ATO occupations dataset - This helped us understand what the average/median income should be per individual
3. ATO taxation dataset - This helped us understand what the average/median income should be per individual |
| Beacon |
Lighthouse |
Taradale |
2 |
3 |
connecting recent arrivals to their new community
1. new arrival installs app (android/ios)
2. user completes their profile, including nationality, religion (if desired), age-group, sports, and personal interests
3. app confirms location services or prompts for current location
4. access to pages for:
a) local features
b) local sports clubs etc matching sports in profile (google maps)
c) local interest groups matching activities / personal-interests (google maps, meetup.com, facebook groups)
d) local contact details - groups or influential persons of interest (JPs)
e) suggested sources of further information or contact details with instructions and links ie facebook, meetup, citizens advice bureau, etc
- census or other data for ethnic community makeup shown as choropeth geographic map
- merged with visitor numbers by destination region (from customs/airport arrivals with NZ destination data)
- showing nationality of birth but able to be aggregated by general world regions
- clubs scraped from sporty.co.nz and/or google
- groups ideally scraped from facebook (not possible)
- groups ideally scraped from meetup.com (not possible) |
| Belonging |
Wind breakers |
Mount Gambier |
4 |
8 |
The Belonging project will be - Everybody belongs in society. Some children/adults are stigmatised by what has been traditionally called “special needs” or differences. This doesn’t need to happen. Utilising appropriate datasets to identify targeted populations with differences key community members can start a conversation with them to listen to their stories of exclusive community interactions. The key community members can then personalise Inclusion Stories templates for their community and have books printed. Datasets identified through the Belonging project site as being relevant to local statistics will be analysed to produce an indication of how many resources need to be printed and the ideal locations to be placed.
The pick your own path novel puts the reader in common microaggressive situations to allow the reader to experience what fellow students/ community members that are stigmatised face. By choosing various options they are led to very different outcomes. A way of putting children (and adult) readers in the shoes of the stigmatised to understand how to include everyone.
Team Windbreakers used the data to identify groups who are at risk of being excluded from the community due to their disabilities or other conditions. We have combined it with data which highlights geographic location so our service can provide connections between at risk groups and relevant members of the community ( to ensure their stories and opinions are heard). Other data allows us to identify concentrations of common social issues for focussed support. |
| BikeBound |
VEEB |
Launceston |
1 |
1 |
Every day, many people die or get seriously injured by motorcycles. We aim to change this with our web-program, BikeBound. Will you crash when you drive your motorcycle? Find out by answering a few questions before your drive on the website. Our data was achieved by thorough searching of specific Tasmanian focused data. At first, we tried finding data using the List, a Tasmanian data-focused database website. Then we decided to search for Tasmanian data specifically on data.gov.au. |
| BizViz |
Bright Minds |
Albany |
9 |
11 |
Starting a small business is scary, but with the help of the BizViz app you can get a clear vision on your business’s potential. Simply enter the industry or field you’re looking to start a business in, your business preferred location, and some additional information and then the app will compare your information with a range of open government data to give you an idea of how suitable your business is to that location. Get easy access to local business resources, demographical and taxable income statistics and online resources that will help you get your business plan on track. We started by scrolling through all the available challenges and the one that inspired ALL of us at once - Small Business, Big Decision from Victoria was unanimously chosen. It struck a cord because we have all been, or are currently involved, in a business, which made this topic of genuine interest and real relevance. Everything seemed to flow from there...
We spent some time brainstorming ideas and embraced the retro option of applying pen to paper to capture our ideas.
From there, the workload was divvied up, and we spent the last 30-odd hours forgoing sleep, toilet breaks and movement (other than fingers on keyboards) to finish our project.
Joy! |
| Blue Lake Mountain Bike Trails |
M1 |
Mount Gambier |
6 |
4 |
Here's an app that was designed so you as the user can locate and find all the trails that are located around the district and also links to the local Mountain Bike Community’s pages.There is currently no other information provided by Mount Gambier Tourism Towards Mountain Bike Trails in and around Mount Gambier. My aim is to help promote the region as a Mountain biking destination for tourists and adventure seekers. I have used many data sources for example the Tourism Visitor Statistics, South Australian Community Services Directory, NSW Land use 2017 and State of the environment report. I have combined these reports together to allow the app to better understand where tourist usually go and their 'hotspots', the community services that are is the area, and the environmental effects that are brought by the Mountain bike trails. |
| BoneStorm |
KinderGeek |
Remote South Australia |
3 |
8 |
Bone Storm is a new wave Enterprise system where local composers can join the largest original composers forum. The website includes composers forum where there is tablature, bass, chord sheets, interviews, and just a chat bot.Once logged in, you can share files such as; guitar -bass tabs through the internet browser. Most importantly, the website is regulated by an administrator and moderators , who have privileged access .
Primarily, the website is an internet forum where online discussion about music takes place. The site contains a thread, or node full of listings. Depending on forum's settings the user can be anonymous or a registered user. |
| BuddyUp |
Parachute 42 |
Albany |
4 |
7 |
Information and safety app for remote outdoor activities Problem - You’re out on your boat and an accident occurs. There is no way to contact any kind of emergency service. You’re stuck until someone notices you have not made it back. That could take hours you don’t have.
Solution - Parachute 42 are creating a safety and information app to address this problem called “BuddyUp”. The idea is based on Marine Rescue NSW app but at a local level. The basic idea of this app is: if you miss your estimated return time, your chosen contacts are automatically notified via text message and (if there is no response after 30 mins) emergency services will be informed of your last known location to start search procedures. The app will be used to provide peace of mind, safety and security, by allowing you to log on and log off for all of your outdoor adventures.
- We would like to say that, you should never go to a remote area alone however, if you do, the app will be able to provide the information you have entered and last known location to the appropriate people in case of emergency
Your local council will have access to the information from the app to help them out. For example:
- Out on the ocean if a sudden unexpected storm strikes, the app will be able to tell authorities how many boats are in the estimated path of the storm, the amount of people in each boat, which (if any) of the boats are likely to capsize, and have the ocean current and tidal data for any people who have gone overboard.
You will also be able to scan emergency items (such as flares) into the app and have it notify you when they are about to expire.
In the future the app will have the ability to chose various remote outdoor activities like hiking, biking, 4 wheel driving, and camping. As well as access to various fishing information (such as fish size, catch limit and seasons for local fish types), and some land based information (such as the locations of trails, and geocaches). The local council will also have access to this information. The reasons for this are: emergency information (where people are and what they are doing in the case of an emergency), and tourist information (how many people visit which areas) so they make an informed decision on such matters.
- E.g. If there is a fire in the bush the app will have the information on if there are any (and how many) people in the area of the fire so they can send the correct emergency services to assist.
To sum up, the app is designed to provide people with fast and efficient responses in emergency situations as well as some local information for the outdoors adventurer.
We have a website that is built as proof of concept and is running. |
| Burratown |
"data" |
Sydney |
6 |
5 |
How do the suburbs of Sydney interact and evolve? We explore the city through the lens of data, generating new suburbs and evolving existing ones to compare and contrast with the existing social and cultural landscapes of the city. Our project combines multiple data sources to stitch together different aspects of the fabric of NSW, including census data, zoning and industrial data to build a rich visualisation of the connections between the different suburbs of NSW, and gain insights about the future development of the city. |
| BusOnNeed |
Team 444 |
Hamilton |
1 |
4 |
[](https://gitter.im/BusOD/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
# BusON: bus on need
## Prerequisite
## Problem Statement
### Pollution
Driving alone in a personal vehicle wastes resources and is harmful to the environment. Thus, sharing public transport is more economical and sustainable by reducing traffic congestion and CO2 emissions.
### Common Destination
Most commuters have common destination. Hence public transport.
### Communication Asymmetry
The bus driver lacks real time knowledge of each bus stops. Riders lack real time notification for the bus drivers for pending ride requests.
### Data Driven
To enable data-driven development on public transit, a reliable bus ride data tracking platform is necessary.
### Security
Bus drivers lack a reliable rating system. For riders as well.
### Minority accommodation
Disabled lacks an end-to-end solution for bus riding.
### Bus Driver Shortage
Scenario 1:
Shortage of existing drivers but have a pool of "ex-drivers" that is no longer driving as wage is too little.
Scenario 2:
Shortage of drivers in total, as full-time bus driving is less appealing.
"On about nine days since early August, Busit has had to drop some bus runs because it didn't have enough people to put behind the wheel, Facebook posts show." --- New Zealand Herald (https://www.stuff.co.nz/waikato-times/news/115522948/sickness-driver-shortages-behind-hamilton-bus-system-problems)
### In-Efficient Trips
Bus drives with few riders and drives to stations without any passengers.
## Vision
Aim to provide cheap, efficient, and reliable public transportation for communities.
### Market Research
## Solution Proposal
An app provides information symmetry for bus riders and drivers and peer to peer bus driving.
### Competitive Analysis
### NetLogo Modeling
We use Netlogo (https://ccl.northwestern.edu/netlogo/) tool to model the bus transportation system of Auckland city. The data sources include
1. Bus routes and bus stops come from Auckland transport open gis data (http://data-atgis.opendata.arcgis.com/).
2. Auckland city tiles come from Auckland coucil open data (https://data-aucklandcouncil.opendata.arcgis.com/)
3. Number of victims data come from Police open data (policedata.nz). Note that merging bus stops and crime data is done mannually and may have inaccurracy problems.
4. The bus usages is modelled randomly and follows the normal distribution (0 to 5 persons randomly pops up bus stations every hour).
The simulation results require further validation.
## Use Cases
Bus stop location to search around the crime database |
| Canberra Roads Wall Art |
CrankyBot |
Canberra |
1 |
1 |
How do we use data from the past to predict a better future for Canberra and connect our citizens with their environment? We believe that predicting a better future for Canberra starts with appreciating what we currently have.
The Canberra Roads Wall Art project helps connect our citizens to our local environment by turning a piece of every day Canberra - our transport road networks - into a beautiful piece of wall art that acts as a reminder of a piece of infrastructure that connects us all. We have produced 3 artworks based on the ACT Roads Centrelines dataset: https://www.data.act.gov.au/dataset/Road-Centrelines/r8wk-ud5i
## Initial processing:
1. Download ACT Roads Centrelines dataset
2. Extract and repackage each supplied dataset into separate zips
3. Use MapShaper.org to explore datasets
4. Extract border, road centrelines & road polygons to SVG
5. Import SVGs into illustrator
6. Observe that the road polygons from the Road Polygons datasets have significant artifacting, rendering them unusable for this project. We will work with the ACT Border and ACT Road Centrelines datasets
## Artwork 1 - All ACT map
A lasercut map of Canberra, with the border cut from wood and the road network engraved
1. Simplify paths to reduce node count.
2. Colour border separately so it can cut rather than engraved.
3. Test-cut a small section with a high density area.
4. Observe that the density is too high and these will need to be rastered.
5. Spend many hours trying to script detection of dense areas, eventually gave up and decided to raster all of the populated areas, leaving the rural roads as vector engraving to keep the cut time down
6. Import into Lightburn, set power & speeds for cuts & engraving
7. Cut on a sheet of Bunnings 3mm plywood
## Artwork 2 - CBD Map
A lasercut map of Canberra, focusing on the CBD & parliamentary zone, with the roads in wood and the space between removed.
1. Simplify paths to reduce node count.
2. Set stroke width to a visually appealing size.
3. Observe that some artifacting where strokes meet occurs, addressed by setting the stroke ends to round instead of square.
4. Outline all strokes.
5. Merge the outlines into a single outline.
6. Stroke a rectangle around the piece for a border. Duplicate it, and use the duplicate as a clipping mask. Use the clipping to crop the roads.
7. Outline the border and merge it with the road network.
8. Import into Lightburn, set power & speeds for cuts
9. Cut on a sheet of Bunnings 3mm plywood
## Artwork 3 - CBD Map coasters
A subsection of artwork 2, scaled & cut on acacia coasters
1. Take the saved work from Step 5 of artwork 2
2. Create a circular crop centred on Parliament House
3. Import into Lightburn, set power & speeds for cuts
4. Create a wider circle based on the caoster diameter
5. Cut the wider circle out of scrap, we will use this to position the coaster accurately in the laser
6. Engrave the artwork onto the coaster
|
| Carbon impact of Electricity & Solutions |
Weebs |
Taradale |
4 |
3 |
We are trying to inform people on their carbon emmissons and how they can decrease that through everyday life and save money while doing it |
| career.cool |
career.cool |
Sydney |
2 |
4 |
Video url
https://youtu.be/FcTohLhfdrA
Homepage url
https://sioned196.wixsite.com/hack
github
https://github.com/nestoregon/GovHack2019
GovHack 2019 - Make Career Cool Again
Challenge statement 1
How can ATO and other Australian public data be used to help the community fill employment opportunities?
Challenge statement 2
Choose one of the following questions to address: 1. How can recent and future changes in the labour market help prepare young people for job opportunities? 2. What can we learn from case studies of regional labour markets? For example, what does rapid change in the industries or occupations within a region tell us about the needs of employers/workers in other regional labour markets
Our team
Nestor, Sioned, Christle
Link to our files
https://drive.google.com/drive/folders/1YRpYKQ3wwZxKut6w9kRC8vLSWvlvu0FE?usp=sharing
Tools/Links/Data we tinkered with
Rapid prototyping on paper
Tableau
Invision
R
D3.js
Flourish studio
Google stack
Wix website builder
Powtoon video maker
Vacancy report
http://lmip.gov.au/default.aspx?LMIP/GainInsights/VacancyReport
Vacancy report data files
Vacancy Report July 2019 (PDF) (302.1KB)
IVI Factsheet July 2019 (PDF) (287.4KB)
IVI Data - January 2006 onwards (Excel) (2.4MB)
IVI Detailed Occupation Data - March 2006 onwards (Excel) (3.6MB)
IVI Skill Level Data - January 2006 onwards (Excel) (304.9KB)
IVI Regional Data - May 2010 onwards (Excel) (2.8MB)
Map of IVI Regions (PDF) (395.5KB)
Employer recruitment insights http://lmip.gov.au/default.aspx?LMIP/GainInsights/EmployersRecruitmentInsights
Job outlook https://joboutlook.gov.au/futureofwork
ATO Income data https://data.gov.au/data/dataset/taxation-statistics-2016-17/resource/bfa7ef04-e9f2-46ff-a959-84f005dfd17b
Graduate outcomes https://www.qilt.edu.au/about-this-site/graduate-employment
Graduate Satisfaction https://www.qilt.edu.au/about-this-site/graduate-satisfaction
Gather job information https://pypi.org/project/scrape-jobs/?fbclid=IwAR1xAAcFk9bXc5Ixny1jN4Alb1wNg8B28oA1I1EPLGzG9mWJlbaslCZoI7w According to a study by the Behavioural Insights team when it comes to choosing careers young people often find career information difficult to evaluate and difficult to contextualise because data on the internet is so vast and dispersed across multiple sites.
This contributes to young people switching off from using the full range of information available to make decisions about their future.
They may end up making uninformed decisions, choosing any degree with no real insight about potential career opportunities.
We aim to bring both government and industry data in a user friendly and visually appealing way to help them envision their own career paths based on the current trends in the industry.
Link to our files
https://drive.google.com/drive/folders/1YRpYKQ3wwZxKut6w9kRC8vLSWvlvu0FE?usp=sharing
Tools/Links/Data we tinkered with
Rapid prototyping on paper
Tableau
Invision
R
D3.js
Flourish studio
Google stack
Wix website builder
Powtoon video maker
Vacancy report
http://lmip.gov.au/default.aspx?LMIP/GainInsights/VacancyReport
Vacancy report data files
Vacancy Report July 2019 (PDF) (302.1KB)
IVI Factsheet July 2019 (PDF) (287.4KB)
IVI Data - January 2006 onwards (Excel) (2.4MB)
IVI Detailed Occupation Data - March 2006 onwards (Excel) (3.6MB)
IVI Skill Level Data - January 2006 onwards (Excel) (304.9KB)
IVI Regional Data - May 2010 onwards (Excel) (2.8MB)
Map of IVI Regions (PDF) (395.5KB)
Employer recruitment insights http://lmip.gov.au/default.aspx?LMIP/GainInsights/EmployersRecruitmentInsights
Job outlook https://joboutlook.gov.au/futureofwork
ATO Income data https://data.gov.au/data/dataset/taxation-statistics-2016-17/resource/bfa7ef04-e9f2-46ff-a959-84f005dfd17b
Graduate outcomes https://www.qilt.edu.au/about-this-site/graduate-employment
Graduate Satisfaction https://www.qilt.edu.au/about-this-site/graduate-satisfaction
Gather job information https://pypi.org/project/scrape-jobs/?fbclid=IwAR1xAAcFk9bXc5Ixny1jN4Alb1wNg8B28oA1I1EPLGzG9mWJlbaslCZoI7w |
| CarPark |
Top Gun |
Sunshine Coast |
3 |
7 |
CarPark is an app developed using open data sets supplied by the City of Melbourne to solved the CBD congestion problem by navigating drivers to unoccupied parks to reduce the number of cars on the road while also reducing emissions. Files containing status and location of car parks was manipulated to filter for unoccupied parks and overlay onto a mapping interface. Using the number of occupied parks, peak traffic times were identified for the suggestion of alternative transport methods. |
| CAS29 - Cyclist Augmentation System 2029 [Project 477] |
DIIStance Cyclists |
Canberra |
5 |
5 |
# CAS29: Cycling Augmentation System
***Wherever you ride, whenever you ride, CAS29 has your back.***
It's 2029. You've overslept your alarm It's 8.59am. You're late for work. Speeding through your morning routine you get to the door - but how are you going to travel to work today...
You could drive, but the traffic is awful. A bus or tram is a tempting proposal, but they're also full. What do you do? You turn to the pinnacle of modern transportation - the bicycle.
> ***Did you know?***
> The development of the 'safety bicycle' in 1880 was amongst the most important invention in the history of the bicycle. It shifted public perception and use from being a dangerous toy for sporting young men to the herald of everyday transport today.
Much like the development of the 1880s safety bicycle, CAS29 is revolutionising cycling today. This concept connects the modern cyclist with live safety information based on your location. Why not cycle when CAS29 has your back?
### Our vision
The future of public transportation in Australia will be cycling! As our cities expand, and our work cubicles shrink, there will be more pressure on our transportation network. We believe that cycling will offer the highest autonomy to the modern commuter and will serve to compliment developing public transportation options such as trains, trams and buses.
However, with a growing population, our cities will have more cars, buses and pedestrians sharing our roads. Providing a safe environment for all commuters will be a key challenge.
### Product Description
We have created a concept app implementing historical road crash data, weather data and machine vision to provide a summary of crash events and alerts as your cycle along your route.
We envision that as your ride your bike, your mobile device running a client application periodically checks with the server. The server receives your location and the current time of date and filters historical pedestrian and cyclist crash data within a geographical radius and time window for that location. The server pushes this back to the client, along with weather conditions sourced from the Bureau of Meteorology and draws on smart object detection from your device to provide a contextually relevant voice prompts of potential risks as you cycle.
Our API server is updated daily via ACT SODA APIs and every 30 minutes from the BOM meteorology data feed. The API server is able to provide statistics on crash events around the provided geographic coordinates along with their severity (whether property damage, injury or fatalities were sustained). The smart object detection can perceive other road uses, such as cars, cyclists, pedestrians or even the run away pet, to ensure you have a second set of eyes watching your back. ### Who are the users?
***The Simpson’s Story…***
Marge and Homer have two young kids. Ferrying their kids too and from school each day is a serious undertaking. To make matters worse their kids have expressed that it's no longer 'cool' to be dropped off at school. Parenting is tough. Marge and Homer would love their kids to be able to cycle to school, but want to make sure that their commute is safe.
CAS29 provides the reassurance that their kids will be safe and aware. A calming voice alert from CAS29 will detect any obstacles or dangers and remind the kids to be careful. With the confidence of CAS29 Marge and Homer are free to enjoy their mornings
**Cathy’s Story...**
Cathy recently graduated from her university degree and moved to Canberra for a new job. She was excited to get started crunching spreadsheets and purchased a new bike to commute to work. Cathy being new to the city was worried about her safety whilst commuting.
After installing CAS29 Cathy could receive live notifications whenever she got near accident hot spots. With the confidence that the ride would be safe, and with weather updates helping her stay dry, Cathy could arrive at work energised and ready for eight hours of data cleansing.
**Beetle Bikes Story...**
Beetle Bikes, a small business renting bikes to tourists, found that those unfamiliar with the city ended up in accidents. Concerned for the safety of their customers (and hopeful to reduce damage to their bikes) Beetle Bikes turned to CAS29. Their rental bikes can now alert riders to potential collisions on the road through CAS29's machine vision. Beetle Bikes are happy to see their customers enjoying the sights of the city, and getting back in one piece.
### Why is this a valuable tool?
CAS29 assists those seeking a safer cycling experience. The API collates historic road crash data within a geographic radius around the users position, and filters based on the current time of day. The CAS29 API also pulls recent BOM weather data to provide to the client. CAS29 extends the value of this historic data by leveraging machine vision to assess the local environment to provide contextual alerts (ie. that another cyclist is behind you, or someone has stepped out onto the road ahead).
**Public Transport for The Future (AWS)**
*Challenge: How might we combine data with modern technologies - such as AI/ML, IoT, Analytics or Natural Language interfaces - to better our public transport services.*
CAS29 features an object recognition deep learning model (based around YOLO v3) to determine potential on-road risks for cyclists. The recognition model aims to provide two key functions:
(1) A cyclist has a limited range of vision and can't always see behind or too their sides. The potential to mount small cameras or detectors to the bike and leverage machine vision to detect objects would allow CAS29 to provide an extra set of eyes for a cyclist.
(2) Whilst notifications about historical crash data provides a useful contextual understanding of the current area, we're focused on delivering a good customer experience. Machine vision provides the application with the current road context, meaning prompts about potential risks will only be provided if useful. For example, if there aren’t any cars on the road then CAS29 won’t bug the cyclist with historical crash data.
**Queensland OpenAPI**
*Challenge: Create a project using one or more of Queensland's Open-APIs.*
Currently, CAS29 uses open data from data.act.gov.au to produce a statistical summary of crash events within a radius around the cyclist. The CAS29 server regularly updates the crash data through a SODA API. This approach could be easily scaled to a national level by pulling on data APIs from other local, state and national sources.
We'd envision that Queensland's historical crash data, particularly crashes involving cyclists, could be combined with the QLDTraffic GeoJSON API to deliver real-time updates on traffic events and high-risk crash zones, or even provide live webcam traffic feeds to help a cyclist plan a safe journey.
*Note: we did find some difficulty locating non-aggregated data for road crashes in NSW :(*
**Reducing CBD traffic congestion**
*Challenge: How to reduce traffic congestion or parking problems in the CBD?*
The easiest way to reduce traffic congestion and parking problems is to reduce the numbers of cars on the road during peak times. Cycling is a fantastic way for people to commute to school or work, and gets you healthy to boot!
Our vision for CAS29 is that by making the cycling experience safer for all commuters we could see high adoption of cycling as the primary mode of transport. CAS29 combines location and time specific road crash data along with live input from an object recognition deep learning model to help alert cyclists to potential dangers.
In the future, we could configure CAS29 to include live information about potential risks on their route such as QLDTraffic GeoJSON API , or even to offer suggestions for alternative routes. Keeping cyclists safe, and getting more people onto bikes, will see a reduction in traffic congestion for all commuters.
**Canberra 2029 - Inclusive, Progressive and Connected**
*Challenge: How do we use data from the past to predict a better future for Canberra? How do we best support the diversity of our community? Optimise the way we travel and transport goods throughout our city? Predict the jobs of the future - and skills needed for them? Connect our citizens with their environment?*
The future of Canberra is going to see a much higher presence of cyclists on our roads (and hopefully a few less cars!). Cycling gives an opportunity for Canberreans to enjoy the environment of the fable 'bush capital' during their daily commutes, and provides far more autonomy over transport options as future workplaces change.
To help create this better future for Canberra, CAS29 will help keep cyclists safe and allow them to enjoy the ride. A safer cycling experience will help foster a stronger community and encourage people to make the jump across to cycling.
CAS29 draws on historical pedestrian and cyclist crash data from data.act.gov.au for a user's current location and time of day and combines this with an object recognition deep learning model to recognise potential hazards and warn the commuter. CAS29 delivers voice prompts to warn cyclists, meaning their eyes don't come off the road. By drawing on open data we're hopeful that CAS29 could support cyclists of any background or ability to feel safe and confident on the road whilst they commute around Canberra.
**Check out our [about page](http://cas2029.azurewebsites.net/about) for more information of the data we used!**
**Check out our [google drive](https://drive.google.com/drive/u/2/folders/1njyuN2xWdvZNjmqZNWFSMUb5ZwO7ue2t) to see our process!** |
| CED423 |
OSE423 |
Brisbane |
3 |
13 |
Community Engagement Device 423 (aka CED423) displays local data at bus and train stations to encourage interaction between local populations and their community's data. Air Quality Monitoring - Live data feed
Coastal Data System – Near real time wave data
Census of the Queensland Flora 2018
Qld wildlife data API
Regional ecosystem description database
Greenhouse gas emissions, in carbon dioxide equivalent (CO2 – e), of land use, land use change and forestry sector
Weather Feed From BOM
Landmark Areas in Queensland
Built Features Queensland Series
Historical Topographic Map Series Queensland
Cultural Heritage Designated Landscape Areas
Cultural Heritage Places
SLQ Photographs from 1914 to 1918
Aerial Photography of Brisbane
We have used this data to create a display. This data raises awareness of often overlooked local facts so that it is more readily available to the local public. |
| City'Cycle |
Manic Men |
Albany |
4 |
|
Our Project is based working with local artists to create sculptures, paintings and large scale murals that incorporate objects that would otherwise end up in landfill every year. |
| Climate Change, Water Security and Education |
inclusivIT |
Sydney |
4 |
5 |
*Our Aims*
Our aims are to generate new and innovative ideas to educate the community to be more water efficient. Is there a better way to educate and engage our youth and community to understand how much water we use, how we use it, how we can save it?
We examine the lack of assistance to people with disabilities in Australia overall and in the Northern Territory. And attempt to address ways to educate young students (and the community) accordingly.
*Our Projects*
- Create an app (website) to show a map of risk of heat regions, also on the map points to the public fountains are placed for people, commuters and tourists to drink and refill their reusable bottles in the public areas, the fountains can save around 155,000 single-use plastic bottles in a year. Down below a screenshot of the video from World Economic Forum page
- Support the website with function to calculate how much the individual or families water usage and educate the community on how to use water wisely and effectively
Support our website with games for kids to educate them of the problem and what is the right way to use water at home, school, garden and in our daily lives.
*Our Team*
Our team, inclusivIT, is a bunch of web students past and present, their teachers and a couple of non-IT members thrown in for good measure. People of all ages and abilities – a cheerful bunch! We wanted our project to be something that would foster an inclusive community and enhance the use of public facilities for people living with a disability. Our inspiration came from one of our team members – her name is Irena and she is profoundly deaf. When we asked Irena to be part of the team, she must have been apprehensive. How to be part of a group that thrive in noise when you are locked in silence? And we were apprehensive too. We wanted her to feel welcomed but did not know quite how to engage with her in a genuine and congenial way. If it started out a bit awkward, we soon forgot about any difference. We used our mobile phones and Slack app to type messages back and forth, it was easy, we had a lot of laughs - although a person we should not name was a bit slow on the fingers’ work and chose to use the good old pen and paper to ‘talk’ to Irena. We won’t judge that person: we’re all for inclusion!
*More evidence of work*
[ultimogovhack.wordpress.com]
*Summary & Recommendations:*
This idea is really helpful not only for drought regions but for Australia at large. The concept of refilling water bottles thus reducing the creation of plastic waste due to the consumption of single-use plastic bottles is a huge step towards conservation of our waterways and oceans and limiting the ingestion of plastic matter by our wildlife and sealife.
Educating and training young minds to be responsible citizens and custodians of the planet will ensure our survival and a greener planet.
https://www.teachingvisuallyimpaired.com/creating-tactile-graphics.html#
https://3dprint.com/220661/study-3d-printed-braille/
https://www.abc.net.au/news/2019-08-23/wa-firefighter-learns-auslan-to-teach-deaf-students-fire-safety/11440274
How do we best provide education to our young students with disabilities? We explore the datasets and propose some solutions.
https://www.youtube.com/watch?v=dTVVEpL1E38
https://www.youtube.com/watch?v=qzBh3mFOdJA |
| CloseRanks powered by Resonance |
Sarox |
Hobart |
5 |
3 |
# CloseRanks
CloseRanks is the first application built on top of the Resonance algorithm and has been developed to demonstrate how the Resonance Algorithm can be applied to solve real problems in the world.
## Overview
CloseRanks is application to assist with community co-ordination during times of emergency, by matching available community resources with members of the community who require them. CloseRanks leverages the Resonance API to determine if an emergency is happening and predict what type of emergency it is, even if there is no official government information available.
“The UberEats for emergency resource co-ordination”
## User Flow
1. A volunteer adds the resources which they have available in an emergency situation ahead of time
2. Civilian, business or organisation uploads request for assistance with emergency labour/asset/transport
3. “Resonance algorithm” matches volunteer to assistance request
4. Request route is assessed for safety against data from emergency services
5. Mission is approved for action
## Overall Goal
To keep people, assets and infrastructure safe in emergencies by enabling grass-roots community involvement and support powered by helpful data. # The resonance API
The Resonance API uses a range of data, including federal, state and local government data as well as data from social media and puts these volumes of data through a series of machine learning algorithms to predict the probability of events events in real time. The first application to exist within the Resonance ecosystem is CloseRanks, which uses the predictions of Resonance API to allow people to provide and receive tangible support in an emergency.
## How it works
Resonance will initially use data from BOM, Emergency Services, and CSIRO and various social media services to determine:
his data is collated and processed by Resonance to determine:
- If an event is happening
- The location and radius of the event
- The type of event
- The specifics of the event
The information is stored with a “certainty” score.
In the future, this data will be made available to journalists and other members of the public in real-time via the subscription-based Resonance platform, which displays the structured event data (alongside the source data) in real-time. If a user reviews the source data and determines that the algorithm has made a mistake, they can flag that event as inaccurate and provide reasoning as to why. This information will help train the algorithm over time.
For now, this structured data is published to an API which is consumed by applications within the Resonance Ecosystem. The Resonance Ecosystem is a collection of first and third-party applications built on top of the data provided by the Resonance algorithm. |
| Connecting Victoria |
Team of One |
Melbourne |
1 |
2 |
I decided to work on a project to help connect people easily to Shires throughout Victoria. I love living in regional Victoria in the Latrobe Shire and I love to uncover different unique places within my Shire. I would encourage Victorians and visitors to Victoria to get out there and visit the all the great Shires.
To demonstrate my idea I wanted to create a website where I replicated the map from Vic Roads Shires open data map, where the user rolls over a Shire and it is highlighted, clicks on the area and the name(plus data) is displayed and I wanted to add a link to show further information such as upcoming events.
I have created a website that enables the user to click near the shire of Ballarat to highlight where it is situated in Victoria. A double click will link the user to a word document that has ideas (from the people in Ballarat) for places to go in the Shire of Ballarat and helpful links such as the Shire webpage with upcoming events.
Due to time constraints, I used a Bootstrap template(so the height and width are adjustable) in Dream Weaver to create the website. The template meant that colours and pictures were set to a certain format, if I had time I would change the CSS. Also to change the static logo to a carousel of images from the Shires of Victoria might make the site more interesting.
Time permitting I would have loved the map to more accurately replicate the mechanisms on the Vic Roads Shires map, with links to information on all the great Shires. However I have chosen Ballarat to meet the challenge and they also had some great data from their “Imagine” responses. Other Shires should follow their example to help designers advertising their Shire use “real” data ( I used Spellcheck!). Print screens of Vic Roads Open Data Shires map and an excel spread sheet downloaded from Ballarat's Open Data "Imagine Responses" |
| CoolMove |
Team 460 |
Sydney |
5 |
3 |
Team 460 presents CoolMove, a cooler and more seamless experience for transport users in NSW and elsewhere in Australia. In addition to the usual trip planning on public transport networks, CoolMove also shows users the coolest walking routes for users to access public transport without breaking into a sweat in the summer heat. CoolMove is a cooler public transport experience from Team 460. Users of CoolMove can now enjoy a more seamless experience getting to and from public transport without breaking into a sweat in the summer heat, thanks to the leveraging of open government datasets on urban heat and green cover. |
| CoolWalk Sydney |
Team 520 |
Sunshine Coast |
5 |
3 |
Our project is an interactive app that will help you navigate the city of Sydney. It uses heat vulnerability, vegetation coverage and location data to plan a route throughout the city based on your preferences. These preferences would include whether you want the fastest or coolest route, desired shade coverage and your final destination. The app also includes different food venues such as restaurants and cafes as well as different attractions that you can select. The initial data we found for our project was heat vulnerability index and vegetation coverage. This data was overlayed in ArcGIS to show a visualisation of the cool and hotspots in Sydney. We then scraped data off of Tripadvisor for attractions and food places in Sydney and filtered through this data in excel. This data was then used to create location pin drops on a map with some brief info on places and a hyperlink for the Tripadvisor page. |
| Countree |
Team ExperienceSA |
Adelaide |
6 |
6 |
The Countree app:
- Gives the government an opportunity to showcase their regional areas in an interactive and intuitive way.
- Helps the government prioritize their regional investment by using the predictive model and collecting user feedback.
- Exposes citizens to employment opportunities in regional areas, benefiting both the state and its people. A key way to promote and encourage citizens to move to regional areas is by showcasing the advantages of moving there, showing the potential and employment opportunities to them. Analysing the ATO - annual income dataset, we found out the income disparity for some employment types in regional and metropolitan areas. This could be exploited to promote city to town migration.
We also came up with an AI Model using the following datasets:
1) EPA SA - Recent Air Quality
2) ATO - Rental dataset by State and postcodes, Annual incomes by occupation groups Census data
3) Labour Force Data
4) ABS Jobs in Australia data set
5) ABS Industry data sets
6) ABS Population data sets
7) IndustryAssociation Growth Plans
to come up with a predictive AI model that compares overall livability of a person based on their details in different regions of the country. |
| Darwin Voice Assistant |
Darwin Voice Assistant |
Darwin |
2 |
3 |
Voice has always been the quickest and easiest way for humans to communicate information. Finally our technology is catching up and voice is quickly becoming the primary way that we interact with the digital world.
Introducing Darwin's own Voice Assistant. A way for both Darwinites and visitors to engage more naturally with everything that Darwin has to offer.
- Discover fun thing to do
- Hear about nearby events
- Find local information
- Get real-time feedback
- Learn about our visitors
- Harness the existing ecosystem of Mycroft Voice Skills
This assistant can be integrated into existing infrastructure, deployed as stand alone devices, or installed by residents on their own smart speakers in shops or at home. We can even train a custom wake word such as "Hey Darwin" to maximise engagement with the Darwin brand.
Voice interaction provides more natural engagement for all. It's accessible, and helps to break down the digital divide. A custom voice assistant for Darwin, brings a new dimension to the the Top End brand, whilst strengthening what we are already known for - friendly, welcoming, and creative people. The Darwin Voice Assistant integrates a range of datasets from the City of Darwin Open Data Portal. This currently includes the playground locations, the East Point science trail points, and food truck data. To enable easy addition of new datasets in a range of formats, the skill currently includes JSON and CSV import scripts.
Finally, we are also able to scrape data from relevant websites where a standard data format is not available. The Deckchair Cinema is a great example of this. |
| Decongest Sydney! |
Team Vicks |
Sydney |
2 |
1 |
Decongest Sydney! proposes a hybrid technological and regulatory solution, such that the regulation incentivises the technology and the technology supports the regulation - leading ultimately to a de-congested Sydney. Looking at the data set Journey to Work, in particular the volume of people that traveled by vehicle rather than public transportation, it is apparent that a pure public transportation approach to congestion would not work. |
| Destination Tourism |
HackVision |
Melbourne |
2 |
9 |
We have produced a Mobile-First Destination Tourism POC which motivates visitors to engage with a destination, utilising the app to plan and experience local POIs during their stay.
In the background, the Content Management System (CMS) engine houses the POI data including i-Beacon GIS referential data.
User engagement with the Mobile App at a POI level provides for analytics delivering statistics around user interaction with the app and local points of interest (extensible to capturing demographics, length of visit / stay; tourist spend and other desired variables) HackVision's data story takes a beginning-to-end approach to the tourism experience. DestinationTourism is a rich solution starting with the prospective visitor's journey idea; guiding them to their destination; planning their POI experiences; utilising transport data to navigate between experiences dependent upon their lifestyle choices and preferred mode of transport through to engaging with the POI itself.
At the POI, location data is leveraged using i-Beacon technology which may be extended to capture metrics around visitation, length of stay, spend and so on. |
| Directives & Companies |
CoDirect |
Northland |
|
1 |
CoDirect is a project to search the information in the NZ Companies Office directors & shareholders information as a social network. It enables voters to search for the commercial interests of politicians. The NZ Companies Office API is a great source of company directors & shareholders information. But in order to see all business connections between 2 people, we need more than that. We need to be able to explore the business relationships between parties and find common interests. As an example, CoDirect lets voters search for the business interests of candidates in the local and national elections. |
| Distributed Renewable Energy Integration |
Team Microgrids |
Rockhampton |
3 |
2 |
Simulations were created for a theoretical Microgrid based in Yeppoon, Regional Queensland. An optimisation was performed on the data using a quadrated cost-function, the least-squared approach over voltage, frequency, total-harmoic distortion and phase-shift. Regional living and the regional economy would benefit greatly via microgrids because of black-out like events shutting down regional prosperity. Historical Australian Energy Market Operator(AEMO) National Energy Market (NEM) data was used as a historical reference that shows how the wholesale price and demand have changed over the years (QLD, NSW, VIC, SA & TAS) in Mathematica. A MATLAB Simulink model was created as a real use-case of post-code dependant solar PV optimisation in a futuristic theoretical microgrid in Yeppoon (postcode 4703). The optimisation was done on this post-code data by using it as an example of the amount of power in a system that a regional centre posseses. |
| DroughtSolutions |
IoTusers |
Rockhampton |
1 |
|
Solve water issues in drought areas by providing water supply solutions using rainfall data ,terrain data and ground water solutions Solve water issues of drought areas by identifying the optimized cost effective water solutions by using AI algorithm to deploy water conservation solution for the drought areas |
| DrugSight |
Ryan Hill |
Albany |
3 |
|
Drug aware app that Scans, Searches drugs either online or found if scanned, hot spot map to show local area hot spots where drugs have been found or sold at drug house or police raids. As well as help page with numbers for local services and helplines Mainly Design for now, but can try to work on general coding if given enough time |
| eCab |
eCab-ers |
Melbourne |
1 |
3 |
Deploying driver-less cars for city to reduce traffic congestion and parking difficulties, while making eco-friendly transport affordable and accessible to public We analysed Vehicle, Congestion and Taxi stats data from data.gov.au, data.melbourne.gov.au to define the problem statement and propose a solution |
| Ecopath |
HACKSTRONAUTS |
Sydney |
1 |
3 |
An application to provide paths through the city maximising the use of cooler areas. |
| eCultureSA |
Data Geeks - eCultureSA |
Adelaide |
1 |
2 |
This project addresses the Digital culture challenge, which asks how our digital cultural heritage collections can be made more engaging for online audiences.
We believe there is an enormous amount of data made available to the public, through institutions such as the state library, and the South Australian museum, but it's not sufficient for it to just be out there, as very few people will interact with it or search for it. We think the key to get modern audiences interested in people who lived over a hundred years ago is to find a way for them to see that they were just like us. In this project, we focus on the locations. They lived in the same places as us, walked and shopped just like us.
We have created an app which will engage south australians with a series of challenges which will encourage them to get out there and engage directly with our states heritage. Going to a prototype of our app, there are options to click into different challenges. An example of such is a scavenger hunt. The challenge is to take a photo at the same angle so that they can be compared side to side and it’s clear the photos are of the same place, separated by time. Clicking into the scavenger hunt shows a map with a timer for how long the hunt will go for. There will be a point system spanning the entire app, and other gamification elements to further help engage users. Challenge data will be drawn from various government sources, such as the state library.
The scavenger hunt is a timed challenge, though most will not be on most of the time. For something available all the time, consider instead a “Histroical faces” challenge, which might for instance quiz users on the lives of the early colonisers of our state.
Multiple sources have been used for our prototype, including sahistoryhub and data.sa, though many more could be drawn upon such as museum data on where fossils and meteorites have been discovered, for a geocaching-like challenge.
Our prototype has been developed in the javascript framework angular, and, while incomplete, the code so far has been posted to github to serve as a guide for a more complete implementation. A live demo has also been provided, so check it out! |
| eDUCATE NSW |
Team SwitchCase |
Sydney |
2 |
1 |
NSW is one the best places in Australia to raise a family. However, it is also one of the most expensive places with childcare expenses, educational expenses, transport expenses etc.
Fortunately, government provides many services and rebates for parents to support one of their life’s most important journey – educating their kids.
This portal maps the important milestones and available government services available at any stage of a kid’s educational journey to provide a better experience to NSW Parents.
• It uses age as a timeline.
• Parents can go to the portal and based on their children’s age find out the important events such as school admission, opportunity classes etc applicable to their child and the different government services available for that stage.
• The links either direct parents to the relevant portal (e.g. transport website to apply subsidised travel) or eligibility tests (e.g. creative kids voucher). These eligibility tests are based on the rules as a code developed using NSW OpenFisca.
The current portal is a Proof of concept based on a limited user research and addresses only one pain point i.e. single view of government services related to education.
• Desktop research – NSW Department of Education website, Service NSW website, Australian Department of Human Services website, FaCS Website, Transport for NSW Website
• Limited Customer research – we spoke to 2 sets of parents with school going kids.
Parents A – with 1 kid Aged 5.5 years
• Have used Active kids as informed by the sports class
• Not used Creative kids as not aware of the scheme even though kid goes to dance class
• Not used StEPS screening as not aware of the program
• Biggest painpoint – No Single Source of Info
Parents B – with 1 kid Aged 6.5 years
• Have used Active kids as informed by friends who have used this rebate
• Have used Creative kids as as informed by friends who have used this rebate
• Have used StEPS screening as informed by childcare
• Biggest painpoint – Time wastage due to exploring multiple sources of information at different stages of kid’s life. Hence reply on friends rather than proactively searching.
We hope to test this portal with more parents and government agencies to learn what major life events have we missed and produce the next iteration of the portal.
Future:
Parents focus
1. Create focus groups of diverse parents to cover various scenarios such as (but not limited to)
o kids at different age stage
o kids with special needs
o kids with special abilities
o kids with different language and cultural background
2. Run design thinking workshops to understand the pain points of parents in the education journey of their children
3. Develop this portal further to address those pain points
4. Test and iterate
Government departments
1. Partner with relevant government agencies to explore the pain points and solutions
2. Develop further rules as code for the various services (such as Transport subsidy for kids etc) on the portal. This is a PoC for what a service covering the Education within a raising a family life journey would look like.
For the PoC we have used the School finder app which is based on the school location open data from NSW Department of Education data portal. For future development we can use other open data to provide better insights to parents.
We have also used creative kids and active kids voucher eligibility test form (http://test.nsw.digital/active-kids.html ) and developed another form for StEPs eligibility using the rules developed in OpenFisca. |
| Education WA 2050 |
Cyclops |
Fremantle |
3 |
3 |
Considering the growing population in Western Australia, the education system needs more facilities to accommodate the growing number of students.
The "Education WA 2050" project shows the growth of student over the year per Suburb. It also suggest whether the suburb needs any new school in the target year. The Project "Education WA 2050" needs population data ( including student by age ) by suburb with population growing rates for last 10 years to get the trend of the growth.
It also need current schooling data per suburb with post code.
|
| EduVision |
CoffeeConsumers |
Rockhampton |
3 |
2 |
EduVision is an open dataset that allows government, industry and students to explore potential future gaps in industry based on the growth predictions and current student subject enrolments. By aligning these subjects to industries that students are likely to progress into we can identify shortages in the future workforce.
If there was more time this would have also been expanded into an OpenData API, aswell as an online portal. Allowing government and industry to use this data to highlight needs for investment across Australia and better plan for the future. While looking through the data sets I discovered that there was a predicted growth in different industries across Australia. This growth also varied based on the region in Australia and was quite detailed. I then noticed that there is a lot of data around education participation rates and high school subjects. While investigating this information I had an idea. What if we could use this participation data, combined with the industry growth data to predict future gaps in industries.
Identifying the gaps in industries and having this information available for the public would provide benefits to both Government, Industry, and students (both higher education, vocational, and school).
Both government and industry would be able to use this information to plan for the future, determining the investment required to close these industry employment gaps and prepare Australia for the evolving global economic landscape.
It would also allow students to see future employment prospects and find careers that are predicted to grow, increasing the chance of employment for when they finish their study.
In the future this data could also be combined with immigration rates, and vocational and higher education participation rates to further improve these predictions. |
| Emboiable |
ANU Hacky Bois |
Canberra |
5 |
3 |
Our project aims to help young adults better understand and visualise their career oportunities by providing tools to explore how geographic regions interact with jobs.
Users have two main ways of interacting with our site. Users can choose an industry they are interested in (such as "medicine" or "science") and explore the markets for these jobs in different cities. Alternitively, users can instead choose a city they are interested in (e.g. "Canberra" or "Perth") and get information about the jobs market, including median salaries, cost of living, and predicted 5-year growth. We use these factors to rank different fields to give the users suggestions for growing or profitable industries within their city of choice.
Emboiable works by combining data drawn from the Australian Tax Office, the Department of Employment, Skills, Small and Family Business, and crowd-sourced Cost of Living (COL) data into a cohesive description of current and future labour markets, and visualises them through a Flask webapp. This data can be easily updated as times goes on, and could be feasibly expanded to include more cities than the 9 largest included in this trial.
Note that we are currently using dummy data for our demo search, but we have real data set up for linking. To make this tool live, we would simply need to link our backend into the front-end. Our project uses three main sources of data.
First, we use the ATO Taxation Statistics dataset (currently the 2016-2017 financial year) to get the median salary for a wide range of industries and jobs in different states. Next, we use crowd-sourced cost of living data to adjust salaries to find earnings after living costs. Finally, we use the Labour Market Information Portal's 2018 Employment Projections to provide data to the user about the future growth of potential industries over the next 5 years. |
| Emergence |
ANONYMOUS |
Adelaide |
1 |
1 |
Welcome to Emergence. This project is about delivering the most important information from real time apis to your local community and connecting people together.
Using the Queensland OpenAPI data, we can scour real time data for statistically significant events in your area in an automated fashion so that people can know what’s going on in their town in real time. Whether it’s a blazing fire, a car crash, flood or poor air quality people can be notified about the event so that they can keep safe.
To deliver the information we chose to build a web and mobile application that is accessible anywhere in the world.
Emergence is aimed at helping farmers, property owners, rangers and tourists and all communities. In the future, the app will include job postings for a town, chat and communication features, and bring out the most important information from many data sources to the front of your attention. You will be able to indicate what information is most relevant to you as well.
Evidence of work 2: https://github.com/192Iridium77/QueensLandAPI
(This could not be included in the source field as it takes only one input and we had two GitHub repos)
A cotton farmer opens the app, for his current location it shows statistically relevant information for his job and life on the front page. Examples of this are: What the risk of fire is, what water restrictions are in place, where to find fuel and which part of town is closed down due to a car crash. If he's on the front line of a fire, he can also warn other members of the community of the danger. |
| Energy Distribution for Resillience and Prosperity |
EDCRU - Energy and Data Crisis Response Unit |
Melbourne |
3 |
6 |
Our projects explores the economic opportunities and necessities that will drive us towards a future that ensures our survival, and allows us to thrive. Using the data available, we identified locations that will have the best opportunities to participate in future economies built on renewable energy systems. Known solutions and the impacts of them, costs for building and maintaining new technologies, and an example of some known solutions, that are ready to build were analysed. We looked at the extensive research on climate, past and future to confirm the accepted view of the future we face. We looked at the energy systems that we humans use now, and what they will look like in the near future to understand the extent of change required. We looked at our effect on natural systems, and what natural systems will do to us. The data showed us that resilience and adaptability are paramount, and highlighted the economic opportunity that exists if we support that transition to a stable and resilient economic and natural environment. |
| eNLB - "The Future of AG" |
AgTech 2050 |
Peregian Beach |
10 |
5 |
eNLB –
“The Future of AG” Brings together interactive technology with the traditional livestock branding process in line with other national livestock tracking and identification systems.
Our easy to use out of the box software for farmers & other enthusiasts bridges the gap with current extensive wait periods for a successful brand registry and Identity, saving you time and money.
Technology Implemented:
Machine Based Learning Algorithms
API Implementation within the Horse and Cattle Brands in Queensland & State Wide
Livestock Brand Availability Search
Ag Business IP Portal
IOT Sensor’s – Weather Alerts & Updates
Electronic National Livestock Brands Portal powered by Advanced Data Matching of TM-LINK
Our interactive software has the ability in utilizing 5G Technology and the way IOT Devices will be interacting within our daily lives. By 2050 The future of Agriculture will be so advanced in Technology that the productivity of the average farmer will see them enjoying more time with family and less time doing things the hard way.
As previous generations have never had this technology before we bring to GOVHACK 2019 The first of its kind with plugin capabilities of endless idea’s integrating with the current framework of existing systems and modules
We have implemented Machine learning with IOT Devices & 5G Technology for faster communication guaranteed by 2050 All Black spots in Australia will be operating with a minimal of 4GX leaving those in remote area’s with ultra-fast internet speed’s.
Our Prototype is underway but our Presentation and a video paints a picture from how advanced we have come from previous generations and moving the Cattle & Agriculture Industry forward.
This technology is here and we are now ready to revolutionize and suspect our plugins will integrate and make space for other’s on open source in coming together and working towards a better future for all Australians
Our Data sets are used in a unique way’s as we gather and utilize DATA Scraping and integrate with machine learning and matching branding techniques to prevent the copyright
Our Main Data was focused on
https://www.data.qld.gov.au/dataset/horse-and-cattle-brands-in-queensland
|
| E-Park |
iWing |
Hobart |
6 |
2 |
Inspiration:
As the student of UTAS and TAS Newcomer, we are allured by this beautiful city and it is a wonderful thing to explore this extraordinary land. However, this convenient driving condition always comes with car parking inconvenience, many students and tourists often met the problem of finding the parking space.
Our APP is a modern innovation and creative application, it can lead you to find an available parking space instant and AI map will assist you to the correct direction; analyse the parking data for users. TAS Newcomer and Residents are welcome to use this application and addict to the convenience!
What it does:
The core idea for this app is to assist drivers to find a parking place as soon as possible. The app is able to check parking spots in the vicinity. In order to achieve our goal, the system is based on geo-location that informs user of the nearest car park available and indicate real-time parking spots available for the customers. It is also a digital platform for drivers to reserve a parking spot and pay in advance. There are some special features in the design of this application which are anticipating of traffic volume, applying penalties on overtime parking.
How we built it
The high-fidelity prototype was built on Android platform using Java while the system would retrieve data from big data providers and cooperate with car park monitor system to retrieve real-time parking spots availability. In addition, built-in artificial intelligence technology can assist the application to learn drivers personal preferences on car park selections.
Challenges we ran into:
It is a fantastic idea for tourists and anyone who drives, but before we promote this convenient application that we are going to face the complicated communication issue with local shops and parking companies, we need to convince these enterprises of the profitable collaboration and we do have the sustainable support from Tasmania Government.
Next challenge is the advertisement for popularity, it would be easy to promote among students and tourists, but how can we really let the residents recognise this application is useful for local people still a long-term process.
Accomplishments that we're proud of:
In the era of the smartphone smart parking can come to the average citizen. There are a host of parking apps that we can choose from to help us – there is PayByPhone, Park Right, RingGo, Parkopedia and many more.
There are obviously those apps that allow you to pay for your parking – and update your parking if you are going to stay longer. Some apps tell you where you will find on-road and off-road parking, and some will even guide you through the streets until you are at the car park.
What we learned:
With each year, one thing is certain, we are seeing more and more revolutionary parking innovations from large companies & independent organisations. We are yet to see ideas such as robot valet parking & green parking hit the mainstream, so, unfortunately, we do have a few years of anticipation remaining. By changing the politics of parking, cities can meter more of their valuable curb space, producing more money, less traffic, cleaner air, and a cooler planet. Parking meters can then do a world of good.
What's next for APP:
The solution could be to reduce car use in our city centres and policies in larger cities have certainly taken this pathway. Yet, in reality, the robot car park could be the possible solution for those who want to make the use of space. Each space currently given to conventional parking could house 16 (4 x 4) cars in the future. Also, with no drivers in the parking space, there is an increase in safety for vehicles and in the security of the storage.
Technology Used:
Smart City
Green Energy
java
rfid
bigdata
facedatection |
| eVisitor |
eVisitor |
Melbourne |
1 |
|
Making visitor help information more agile and accessible to all We propose to implement a solution for Ballarat similar to Melba (Virtual assistant) and extend with integration to virtual devices such as Alexa/Google Home so that it can reduce the effort on Visitor booths.
NOTE: The videos and document URLs are for reference only and it is NOT our work.
Due to lack of time, we want to propose the idea and are willing to take it forward |
| Explore Launnie |
UTAS MITS |
Launceston |
6 |
11 |
As we expect a rapid growth of population in the greater Launceston community, we want to develop a website containing useful data. The data indicates locations of different places where family can visit, public facilities, and bike routes. And the information provided on the website can bring convenience to local residents. Hence, we believe that this will definitely help the community become better. Our webpages use various types of open data built by the Tasmanian government. It shows detailed information about playgrounds and bike routes within the greater Launceston area. On top of this, calendar is also appended for a better scheduling if people need to book facilities such as public seatings. There is also a data showing the points of booked seatings on different dates. Furthermore, photos of scenic spots also become a highlighted feature of our project work. |
| FeelGood |
Good Vibrations |
Wellington |
3 |
2 |
For our communities and local governments looking to improve wellbeing, FeelGood is a toolkit to help us understand how our decision-making impacts wellbeing and crowd-sources proposals to create positive wellbeing outcomes. We believe in putting the wellbeing of New Zealanders in the forefront of the choices we make as a community. |
| Fill the Gap |
Game Changers |
Melbourne |
1 |
2 |
The project aims to find the employment trends in Regional Victoria to help government to fill the employment and skills gap. |
| Find my business |
Applied Intelligence |
Melbourne |
1 |
5 |
In this project, the team has decided to answer the question: ‘What trends in business activity can help encourage self-employment through NEIS?’. With this in mind, a plan was made to make use of a set of data and in order to establish decisions based on for or against support for self-employment in that section. The data parts used within the current context were mainly categorized as follows: number of employees, type of industry, available off street parking spaces, and location.
This was a brief and initial data set with the aim to extend more to it in order to allow for more accurate decision support; however this is enough data to give a context or base of implementation.
The reasoning behind number of employees stems from the fact that as a business grows through the course of time, if more employees join, then it is a potential indication that the business has thrived and is progressing.
The type of industry is considered because in certain situations, having a parking space nearby helps but in others it does not.
The available parking spaces (off street) is considered as people value having a parking space near their employment location. Having this is important as high talent employees would want to be happy in their work space and not have to worry about these matters.
Location was also considered because some businesses thrive in certain locations while others don’t.
The end result was a data gathering exercise highlighting where employees have been high. With the current data set, there is not enough to suggest that this is proof of business success but may indicate a potential.
As the product evolves, there will be more automation introduced and more accurate and predictive result sets may be produced.
|
| Find my Spot |
Find my Spot |
Sydney |
4 |
4 |
Find my Spot. An app or an extension to Trip Planner NSW
to help reduce commuter traffic to central business districts. Aim to ease city congestion and to improve peoples experience of public transport by suggesting a mix mode transport navigation solution.
https://youtu.be/oKRaOnH_u-I
Use data from:
https://opendata.transport.nsw.gov.au/dataset/household-travel-survey-200708-%E2%80%93-201718
https://www.revenue.nsw.gov.au/help-centre/resources-library/dsf011.xlsx
https://opendata.transport.nsw.gov.au/node/4299/download
|
| Firewatch 🔥 |
Firewatch |
Hobart |
3 |
2 |
The devastating effect that bushfires have on the forests of Tasmania is a growing epidemic which seems to be worsening as time goes on.
In summer of this year, Tasmania experienced the second largest bushfire event in the state's history [[abc news]([https://www.abc.net.au/news/2019-08-08/bushfire-report-finds-fault-in-gell-river-fire-response/11395414](https://www.abc.net.au/news/2019-08-08/bushfire-report-finds-fault-in-gell-river-fire-response/11395414))], resulting in the destruction thousands of hectares of land and many communities of people put at risk. As the changing climate causes successive summers to grow warmer and warmer, so does the potential catastrophic effects of these fires grow.
Firebase is a project which aims to combine several data sources into a single accessible application in order to monitor fire incidents as they occur, and to provide a simple evaluation of their potential risks.
The application is built around data sourced directly from the Tasmanian Fire Service, providing a list of currently occuring fire events, each of which has a risk
Tasmania's forests are one of its most impressive and beautiful features, serving as both a popular attraction for tourists, as well as something frequently enjoyed by those who live here. However, in recent times, we have seen Tasmania's natural environment, the infrastructure which supports it, and the people who live in it, threatened by a rising bushfire epidemic. The fires which occured over the summer of this year formed the second worst bushfire event in our state's history. As the changing climate causes summers to grow warmer and warmer, it is predicted that the catastrophic effects of bushfires will only continue to grow.
Firebase is a project which aims to combine several data sources into a single accessible application in order to monitor fire incidents as they occur, and to provide a simple evaluation of their potential risks.
The application begins by monitoring the tasmanian fire service website, using the datasets they provide to create a list of currently occurring fire incidents. Each event shows the place that it is occuring, the time it was reported, and the severity. As you can see, there's nothing too serious happening at the moment, but that is likely due to the time of year we are in. I imagine that as we move into the warmer months, we will see these risks grow.
Clicking on any event will bring you to a page showing more information about the incident, as well as a map. The map allows you to see where exactly the incident is occuring, while also showing significant features surrounding it that could be at risk. For this prototype, we decided to concentrate on protected trees which hold a great significance in the community, and in public libraries to represent the community and infrastructure side of things. current status of bushfires and other incidents of concern within Tasmania. This data forms the 'entry point' for our application, serving as the first piece of data which is then correlated with other datasets to build up a more complete picture of the possible bushfire threats to property and nature around the state. As this dataset is provided in a regularly-updating RSS feed format, it was tricky for us to gain a good amount of testing data, as our team was limited to viewing whatever incidents were currently occuring at the time. While this may have hindered effective testing and demonstration, it does mean that the application is constantly powered by very realistic and applicable data, which will gain even more relevance in the warmer months when there is greater fire risk.
We used data on significant trees around Tasmania as an indication of the various areas around Tasmania that contain significant and protected natural features. The most useful portion of this dataset was the URLs to the source sheets, which contained a breadth of information about the natural features including photos, names, locations, and justification for their status. Unfortunately, most of this information was improperly formatted and so impossible to extract and use, but we were able to glean enough to demonstrate how this sort of data could be used in our application.
|
| First Step |
Triple J T |
Sunshine Coast |
3 |
1 |
First Step highlights the quality of life benefits that are on offer outside metropolitan areas. These benefits range from economic (housing, home and business rent costing) and health and happiness (lifestyle, shorter commutes etc). For choosing data for this project we focused on gathering datasets that could be used to highlight the benefits and negatives associated with different regions. In the presentation we referred to median rent and median income by region in QLD. Comparing statistics like this can give a percentile of how much of the annual income goes towards rent for different regions. The decision matrix option in the website also provides data on what certain populations look for and the regions associated with these preferences. |
| Fish Go |
FishHack |
Launceston |
5 |
4 |
Tasmania has Australia's best marine resources, not only beautiful landscape, but also a variety of fish resources. Although fishing enthusiasts know where the best place for fishing is, but other people do not know about these kind of information. As we know that there are many famous places for fishing and diving in the world. However, Australian fish population decreasing. Therefore, this is an untapped potential area for tourism in Tasmania.
We plan to use Tasmania fishery data and social media to promote the development of the local economy by fishing theme.
Meanwhile the Wild Fisheries Management Branch of DPIPWE pours a lot of efforts to educate people how to fish sustainable.
But fishing amateurs and tourists might have no idea where it is the best place for fishing and find difficult to comply with all the regulations.
How to achieve it?
Although Tasmania is rich in resources, but it also has restricted regulations on amateur fishing. Finding a good fishing spot is not fun.
We try to turn it into a game like Pokémon Go by visualizing Tasmania fishery data and data from social media.
People can post “Get☆Daze” when they catch a fish on this platform.
our project platform has four main functional modules.
First, the FishList. This module is mainly for the user to select the type of fish that he wants to catch.
Then in the Heatmap module, which guide users to catch what they want.
The last module of the platform is social hub where users can share what they get.
why the market needs this idea?
We love fishing and this island. We also hope more people can feel “love and peace”. Currently we are using an app called “Tasmania Sea Fishing Guide” A must-have guide to rules and species for anyone fishing in Tasmania. The app has up-to-date size and bag limits, fishing rules, seasons and area restrictions. Over 135 Tassie fish provided by this app. It also possible to mark favourite fishing spots and find the nearest boat ramp. It is developed by Dept of Primary Industries, Water & Environment, so you can receive latest information on it.
Although it is a must have app, we hope it can be more interesting and easier to use. User also produce data actively and spread it to encourage others try it. We also recognize that tourism can boost local economy. We hope we can provide more targeted customers to our merchants.
Market?
Fishing is a kind of sport which can consume a lot of money and time. Fishing oversea also need accommodation and consumable goods such fishing rob and line. We provide target consumers to local shops and hotels. Users can find these advertisements by their needs. For example, their fishing line is broke. They can click fishing gears. Application can show local shops and guide user there.
the audience and how people hear about it?
Our product can help people find fish as well as researchers can gain real-time data.
For example, Local user catches a fish. he uploads a photo of fish and marked as ‘Get☆Daze’ via smartphone application. It can generate a post on linked Facebook account with # tags. People can read these posts by searching tags and following our Facebook page. We record GPS data and fish data from these posts to improve the heatmap accuracy. We also wish our platform can adopt to other market and provide service to more people. We also encourage our partners to setting many prizes to encourage the people who activity post message on our message board.
Ecotourism system
Finally, we describe the Ideal of our project. The target of Fish Go project is to build a system involve Tasmanian nature resources, local business and government tax. First of all, Tasmania's marine ecological resources are spread by our platform to globe fishing enthusiasts and tourists, encourage them to travel to Tasmania, which has driven local tourism, hotels, and related stores revenues, and then government tax increases, the government will have funds to protect ecological resources and upgrade infrastructure, and held many activity to encourage the visitors to share Tasmania information, which will bring more many tourists come to Tasmania for travel. Fishmap and restriction data is used for guiding user fishing.
While users are using our app, it can collect data for researching and sustainable development. |
| Fixing Disabled Parking |
S&G |
Mount Gambier |
2 |
3 |
Our Project allows people who are not disabled not to park there. This reduces parking congestion. The electronic tag communicates with the bollard and retracts when a permit holder tries and parks. We used the data sets to come to the conclusion that there are more disabled parking permit holders then spots available. |
| Freovision |
Tackle IT! |
Fremantle |
4 |
6 |
Fremantle has a wealth of history and community stories, but they are not available when you're sitting down enjoying a coffee in the sun on the esplanade.
So what if you could pull out your smartphone and read, look or listen to information about the heritage of the buildings, events and people who lived around you in the past.
The mix of maps, geo-located content, augmented reality, and voice commentary can make the whole of Fremantle a interactive living history.
We recognised that there is a range of data available on many Government databases.
We used a range of sources:
● photo archives on Trove
● photo archives on data.wa.gov.au
● Aboriginal Heritage sites
● Census data |
| futurED |
Git Sh*t Done |
Melbourne |
1 |
5 |
When you’re a parent, you have to make lots of decisions.
Sometimes those decisions are small. Whereas others shape the future.
Our mission is to help parents make a more informed decision when choosing the right school for their children.
futurED will help parents easily navigate the Victorian Education System.
Finding all eligible schools with your home address at the heart of the search.
Easily filter the results by school types and preferences, and visually see the schools in your zone using up to date school data.
Using PTV datasets and google maps API, we can show parents the estimated time to get to school, whether they drive, walk, use public transport or ride their bikes.
Simply register interest for open days, and see what the community is saying on the review forums.
If parents are new to the area and are thinking about moving, futurED displays a snapshopt of the suburb median house prices for buying and renting. All these features make it easier for parents to make the right decisions when choosing a school.
We know that parents are not looking for a school, They’re looking for a future.
futurED
## What’s the problem for Schools?
Currently, Schools rely on posters to promote open days and rely on paper forms for new enrolments. Relying on a paper based system has the following pain points:
- reduces the amount of reach in gaining traction from prospective families
- Relies on families to know where the schools are
- Highly manual and inefficient data process and resulting in unnecessary admin tasks.
- Time to process is always high because it is a manual process on both sides.
- Environmentally unfriendly.
## What’s the problem for parents?
“It’s not about finding a school. It’s about finding the right education for my child”
Parents are under immense pressure when trying to select a school for their child.
They are dependant on calling the schools in the local area and finding information on the school websites to better understand the enrolment process. This results in a stressful and lengthy bureaucratic nightmare for parents. Particularly for new families who are not familiar with the Australian schooling system, this process is incredibly overwhelming.
## What does this space currently look like?
Currently, the Victorian government department websites that are focusing on schools, only display information about where schools are located based on the address you input. They do not provide any information about the school enrolment process, or dates for open days.
## The Data Story
Let’s now look at a live example on how the datasets can come together to help parents make the right decision.
Let’s say for example a parent living at **99 Connolly Ave, Coburg VIC 3058**, wants to search for schools in their neighbourhood. The list of schools dataset we obtained from data.vic will provide the nearest schools and related information
When the parent chooses to view more details about **Coburg North Primary School**, the next dataset, which is a combination of google maps directions API and PTV dataset, provides information on how long will the daily commute to school takes, rather than just showing the distance. It helps the parents connect in a practical level. In this case **6 minutes via car, 19 minutes via public transport and 34 minutes by walk**.
Most of the time, parents want to give their children the best education possible. Some parents might make a decision on the suburbs they want to move in or buy houses based on the schools nearby. In that case, the median property prices dataset obtained from [https://www.myvictoria.vic.gov.au/data-sources](https://www.myvictoria.vic.gov.au/data-sources) provides median house prices or rental prices of the suburb that particular school is located in.
In this case, **$880,000 median house price** and **$420 rent per week**.
Therefore we have given the parents all the information they need, based on their preferences, allowing them to choose the best possible school for their children. We have done so using a variety of datasets |
| Future Jobs Finder |
B&C |
Canberra |
2 |
3 |
# The Problem
For young people, choosing a career path can be a daunting experience. There are a wide range of industries and occupations that are all constantly adapting. In ten years time - new occupations will emerge and some will recede. **How do we ensure that young people are prepared for future job opportunities?**
# Project Goals
Our ‘Future Jobs Finder’ app aims to:
◆ Help prepare young people for future careers by showing them which occupations will be in demand in the future.
◆ Allow people to understand the educational pathways to be qualified for their desired occupation.
◆ Assist in getting young people in contact with industry professionals so that they can ask questions.
◆ Help young people discover more about their preferred occupations.
# How Does it Work?
Our application shows occupations to users that we think they might be interested in. They can choose to either pass, like, superlike, or skip the occupation.
Suggestions are based on their previous responses, as well as the predicted employment growth over the next five years (datasets provided by the Labour Market Information Portal and ACT Government, read more about how we use this data in the ‘Data Story’ section below).
Clicking on the info button will display more information about the selected occupation. Such as detailed current employment numbers, and predicted employment numbers. This allows users to plan their futures and not to get stuck in an occupation which may be experiencing significant negative growth.There is also a button that will search the internet for you to find the education path you’ll need to take to be qualified for this occupation.
If a user likes an occupation, a chat window will appear that will allow you to get in contact with an industry professional to discuss any questions you may have about the field. Industry professionals will be able to sign up to become a mentor - and answer any questions users may have.
# Preparing Young People for 2029 and Beyond
Our project takes into account future changes in the labour market to help prepare young people for job opportunities. Allowing users to quickly find the education path they’ll need to take ensures that they’ll be equipped with the right skills when the time comes.
# The Data
Links to the datasets we’ve used can be found in the ‘Team Data Sets’ section below.
#How We Use It
Our application shows occupations that we think users might be interested in, based on their previous responses, as well as the predicted employment growth over the next five years. Occupations and their predicted growth data is provided by the Australian Government Labour Market Information Portal.
Our application also allows users to discover occupations that they may not have considered previously, like ‘Bakers & Pastrycooks’ - which will experience an estimated 12.6% employment growth over the next five years and may be in demand. We use the predicted growth data from the Labour Market Information Portal to show users occupations that will experience significant employment growth.
Data is also pulled from local sources - in this case data provided by the ACT government - regarding job vacancies and skilled migration policies. This data allows us to further augment the data provided by the Labour Market Information Portal - and in turn to show more relevant occupation suggestions to users based on their local area.
 |
| Glossy Black Cockatoos |
Glossy Black Cockatoos |
Brisbane |
|
1 |
Using open data API's from BOM, CSIRO and other data sets we are providing ways to monitor water levels for preservation of the Glossy Black Cockatoo primary food source. BOM, CSIRO, ML of bird sounds to identify Glossy Black Cockatoos |
| Gold Coast, Southport Tram Expansion |
Off the Rails |
Sunshine Coast |
7 |
6 |
Proposal for additional light rail routes to be added to the Gold Coast, South Port CBD District. All data sets, overlays, graphs and pictures can be located in the provided Google Drive link. All data sets are able to be imported into Google Earth, Queensland Globe and ArcGIS. |
| Good by plastic |
Team 532 |
Hobart |
2 |
|
Our project is going to introduce a new waste bin for collecting plastic waste. To motivate more people to reduce the use of plastic products, this new bin will record their usage of plastic products, if the users have reduced the plastic products to certain amounts, they are able to claim prizes. Open public data |
| govstory |
govstory |
Adelaide |
2 |
4 |
A collection depot has million of trash and some of them already had an object detection technology to filtering but they haven't used that data to make an application for the community yet.
The more precisely people trash in, the less effort for delivering and collection depots also.
Imagine that we have thousands of waste which are considered bottles such as juice
bottle, water bottle, and sports water bottle. A question arises is whether all bottles can be recycled, while the information
about recycling on trash bin is so limited. Technologies we have used are 3D scanning and AR. Firstly, Environment Protection Authorities can scan numbers
of waste and upload to server then the mobile app downloads that data. While a user is confused about their trash, they open
the camera in the mobile app to scan that object. The result will appear as a sticker on that object to indicate its type and the correct bin to put in.
We make a mobile application that not only educates people living in Australia about waste filtering but help them with detecting trash types to throw in the correct bin also.
Moreover, we encourage everyone to keep their city and neighbourhood clean by recording their correct trashing. At the end of the day, they will get some small rewards for good conduct.
We use the data of landfill waste, green waste and recycling waste in the city of Ballarat, we combined these 3 data sets into 1 table and sum up daily data into monthly data. We made descriptive analysis to show the amount of waste in the 3 categories in the past 3 years, then we use ARIMA model to make prediction of the amount of waste will be generated in the coming years. We found the recycling waste in the future will be unstable like it is now, we conclude that one possible reason is people are not using the recycling bins correctly. Thus we came up with the idea of making an mobile APP to help people to know what kind of waste should go to recycling bin. In the APP, it also reward people who collect more recycling waste, we believe this APP will help to solve the problem of the recycling waste not being put in the right spot.
1.Clean Data
select c.date,a.green_waste,b.landfill_waste,c.recycle_waste from
(select date,count(vehicle) green_count, sum(weight) green_waste from [kerbside-green-waste] group by date) a right outer join
(select date,count(vehicle) landfill_count, sum(weight) landfill_waste from [kerbside-landfill] group by date)b on a.date=b.date right outer join
(select date,count(vehicle) recycle_count, sum(weight) recycle_waste from [kerbside-recycling] group by date)c on a.date=c.date WHERE C.DATE BETWEEN '2016-07-03' AND '2019-06-30' ORDER BY 1;
This table combines the original 3 datasets
Ballarat Kerbside Recycling waste Deliveries
Ballarat Kerbside Green waste Deliveries
Ballarat Kerbside Landfill Deliveries
We combined 3 tables into 1 table and sum up daily data into monthly data.
2.Data Statistical description
This shows the average monthly waste in 3 categories, min, max and std deviation.
Line charts give a brief idea about the amount of waste (unit: ton) generated in the recent 3 years.
3.The monthly deviation plot with Recycling Waste
4.Apply Seasonal ARIMA model to forcast the data
5.Forecast of Recycling Waste in the city of Ballarat
|
| GreenRoutes |
Mentally Friendly |
Sydney |
4 |
4 |
Green Routes' vision is to increase citizens' engagement with their environment.
Along with preparing citizens for urban heat, we believe that we can also tackle congestion, reduce obesity in young Australians, and improve the overall well-being of all citizens.
With more and more Australians walking along shaded pathways road congestion will be reduced and the overall fitness of our population will be improved. Not to mention the improved well-being outcomes from exercise and being in nature.
https://docs.google.com/presentation/d/1G-l08RyczGRc_vJjnHR8WubSSwNCRTTcE6iXxrpfIMk/edit?usp=sharing We use multiple datasets from the Department of Planning & Environment, the Department of Transport, and the CSIRO to provide citizens with a simple and informative app to explore Sydney. Citizens will be able to view which areas of Sydney experience the highest amount of Urban Heat. And which areas have the most tree canopy. We also display cycleways and animals that have been recently spotted in the Greater Sydney region.
We use the Urban Heat and Tree Canopy data in our algorithm to plan an efficient route for citizens that reduce their exposure to the heat but still gets them to where they need to be. |
| GreenWay - Making Public Transport More Comfortable |
MicroLant |
Sydney |
1 |
3 |
GreenWay is a live functional web app that navigates shows you between any two points in the Greater Sydney Area with routes that prioritise greenery and avoid the urban heat of the built up in environment. It also shows you heat maps for the area showing the levels of vegetation cover and temperature, block by block. Making the route more comfortable encourages out of their air conditioned cars on hot days. We used NSW Department of Planning, Industry & Environment's open data via SEED ([Urban Heat Island](https://datasets.seed.nsw.gov.au/dataset/nsw-urban-heat-island-to-modified-mesh-block-2016) and [Urban Vegetation Cover](https://datasets.seed.nsw.gov.au/dataset/greater-sydney-region-urban-vegetation-cover-to-modified-mesh-block)) and created visual heat maps for visualisation, and integrated it into our navigation routing engine to upweight trees and cool regions while still considering fast routes. |
| GreenWay - Pulling a Key Level to Reduce Congestion |
MicroLant |
Sydney |
1 |
3 |
GreenWay is a live functional web app that navigates shows you between any two points in the Greater Sydney Area with routes that prioritise greenery and avoid the urban heat of the built up in environment. It also shows you heat maps for the area showing the levels of vegetation cover and temperature, block by block. Making the route more comfortable encourages out of their air conditioned cars on hot days. We used NSW Department of Planning, Industry & Environment's open data via SEED ([Urban Heat Island](https://datasets.seed.nsw.gov.au/dataset/nsw-urban-heat-island-to-modified-mesh-block-2016) and [Urban Vegetation Cover](https://datasets.seed.nsw.gov.au/dataset/greater-sydney-region-urban-vegetation-cover-to-modified-mesh-block)) and created visual heat maps for visualisation, and integrated it into our navigation routing engine to upweight trees and cool regions while still considering fast routes. |
| GreenWay - Reducing CBD Congestion through more Pleasant Walking Routes |
MicroLant |
Sydney |
1 |
3 |
GreenWay is a live functional web app that navigates shows you between any two points in the Greater Sydney Area with routes that prioritise greenery and avoid the urban heat of the built up in environment. It also shows you heat maps for the area showing the levels of vegetation cover and temperature, block by block. Making the route more comfortable encourages out of their air conditioned cars on hot days. We used NSW Department of Planning, Industry & Environment's open data via SEED ([Urban Heat Island](https://datasets.seed.nsw.gov.au/dataset/nsw-urban-heat-island-to-modified-mesh-block-2016) and [Urban Vegetation Cover](https://datasets.seed.nsw.gov.au/dataset/greater-sydney-region-urban-vegetation-cover-to-modified-mesh-block)) and created visual heat maps for visualisation, and integrated it into our navigation routing engine to upweight trees and cool regions while still considering fast routes. |
| GreenWay - The coolest way to travel across the city. |
MicroLant |
Sydney |
1 |
3 |
GreenWay is a live functional web app that navigates shows you between any two points in the Greater Sydney Area with routes that prioritise greenery and avoid the urban heat of the built up in environment. It also shows you heat maps for the area showing the levels of vegetation cover and temperature, block by block. Making the route more comfortable encourages out of their air conditioned cars on hot days. We used NSW Department of Planning, Industry & Environment's open data via SEED ([Urban Heat Island](https://datasets.seed.nsw.gov.au/dataset/nsw-urban-heat-island-to-modified-mesh-block-2016) and [Urban Vegetation Cover](https://datasets.seed.nsw.gov.au/dataset/greater-sydney-region-urban-vegetation-cover-to-modified-mesh-block)) and created visual heat maps for visualisation, and integrated it into our navigation routing engine to upweight trees and cool regions while still considering fast routes. |
| Green With Envy |
APEX SOLUTIONS |
Sydney |
1 |
2 |
Coolest route |
| GridReaper |
GridReaper |
Sydney |
5 |
3 |
GridReaper is a congestion forecaster for commuters. It provides commuters an accurate forecast of congestion in various transportation methods in the following days, weeks, and months. Starting from available usage data on transportation methods and routes, we applied regression techniques to determine functional relationships with other datasets we considered unusual, like weather time-series.
The resulting regression models are then made available as services for GridReaper to use. |
| Guided |
Team 57k |
Mount Gambier |
10 |
10 |
Our project is an app that help tourists and locals alike by providing information on many of the necessary information about your location or a specific location that is searched by the user, this information ranges from providing the user with location of toilets and ATM's through to giving them information about the native flora and fauna specific to the regions, whilst also including the traditional aboriginal dreamtime stories of the area. The datasets we have chosen have been chosen as they all correlate to the project ad provide us with enough information to have a general basis on how to make a successful and creatively positive project. |
| Gurumba bigi |
Gurumba bigi |
Brisbane |
5 |
3 |
Our vision is to showcase a small number of aboriginal Queensland languages by providing easily accessible, engaging, and interactive resources. Down through generations, the Aboriginal people's stories, were told orally, but were never written down.
Our Gurumba Bigi initiative is centred around cultural and educational exchanges to showcase and strengthen aboriginal languages from Queensland and Torres Strait Islands.
We launched into this project because approximately 90% of Aboriginal and Torres Strait Islander languages are endangered. By showcasing these languages, current and future generations might have the opportunity to learn from and connect to these diverse communities and their unique languages.
To facilitate this project, we combined multiple data sources. For instance, we extracted data from the State Library of Queensland via the data.qld.gov.au website. In this data we found words for anatomy, animals, and greetings.
We also collectected data from AUSTLANG database to get the location points of the selected languages. And used free images from Pixabay.
We are addressing two regional challenges
How might we showcase Aboriginal and Torres Strait Islander Languages?
How might we use Queensland spatial information to find out where languages are from?
Our vision is to showcase a small number of aboriginal Queensland languages by providing easily accessible, engaging, and interactive resources. We created an interactive map where you can see the locations of the respective languages, you can pick an animal and learn the words for it, or you can follow along the song “head, shoulders, knees and toes” in an Indigenous language using the Body section of the website.
To implement the website we used multiple tools, such as Python, Flask, Javascript, CSS, R and PowerBI. It is currently hosted on PythonAnywhere.
Roadmap:.
We would love to make it even more interactive, by adding additional languages and words. A full 3D model of a person with descriptive anatomy words shown in the model, as well as corresponding sound files for correct pronunciation.
|
| H2GO |
ElectronicallyE |
Adelaide |
5 |
8 |
H2GO is an interactive and educational challenge designed for young people to develop a greater understanding about water, the hydrologic cycle, its impact on the surrounding ecosystem and the changes they can make in their own lives.
With the effects of global warming ever increasing, resulting in droughts and lengthy dry periods, society is becoming more conscious about their usage of water as supplies continue to dwindle whilst the demand grows. The young people of today will be the adults of tomorrow and will feel the greatest impact of the environmental decisions made by our current leaders. Youth should therefore be educated about water and its appropriate management and usage so that society will use what is our most valuable resource sustainably into the future.
Youth are invited to compete with others at publicly accessible water catchment areas to obtain the most points through quiz and scavenger hunt based activities. Activities may involve racing to checkpoints and completing challenges, whilst exploring the surrounding ecosystem. This results in individuals to develop a greater understanding about where water comes from, the hydrologic cycle, where it is treated and how it ends up in their taps.
The flexibility in the structure of the program means that has the potential to operate as an excursion opportunity for classes or be taken part in by families on weekends at any location which is deemed as a water catchment.
This fun, interactive and educational experience captivates the minds of young people and extends on their current knowledge on water whilst enjoying the outdoors. Data is a foundation for the H2GO challenge. It provides us with the locations of water sources, information regarding community and region usage of water, statistics on water condition and pollution and the location of educational institutions near these areas.
Water usage data provided on a postcode, council and state level can be combined with students’ household usage to provide a better understanding of where and how our precious commodity of water is being used. With this greater knowledge, based on factual evidence, we can better education our youth of today and our leaders of tomorrow on sustainable water practices.
As H2GO is an educational program, identifying schools within areas of above average water usage can be achieved and compared to locations of publicly accessible water catchment areas to most effectively position the program for a particular a client. |
| H2O Hub |
RoboRoyals |
Sunshine Coast |
7 |
12 |
Our climate is changing, but water remains one of our most precious resources.
Australia is shaped by drought. We are a land of harsh terrain and harsh weather. Droughts over the last few years have had a large footprint, long duration and high intensity.
> “The next war in the Middle East will be fought over water, not politics.” - Boutros Boutros Ghali
Water is finite and needed for survival. It's also needed as a source of income for many Australians. People are struggling, so we need to do our bit to help create a more sustainable future. The pressure on our water resources is only going to become more strained as our population increases at a rapid rate.
According to the Long Paddock statistics provided by the Australia Bureau of Meteorology, nearly 50% of Australia is affected by drought. The Long Paddock indicted 65% of Queensland is drought declared.
The global climate is changing, and we need to adapt to it. We can't wait for water restrictions to be implemented, instead, we need to take proactive measures to avoid them.
When exploring the challenges, we stumbled upon a fact we found surprising - the average water usage is 168 litres per person per day in south-east Queensland. We drink roughly 2 litres a day and that's all we thought about when considering what water we'd use in a day. So we asked ourselves a few questions. Where is all the other water used? Is that water being wasted? Can it be reduced?
We created H2O Hub to answer these questions and bring about a more sustainable future.
H2O Hub is app/dashboard used that tracks and monitors the use of water in your house, by connecting IoT connected sensors to outlets of water over, data will be collected and analysed by appliance, room and time. Keeping the data for a long period of time to show how water conservation habits are changing. There are also incentives, if you beat your household average, or approach a target set by your local council, you are rewarded with incentives that you can spend at local businesses.
H2O Hub is a three-part system made of sensors, data and incentives.
A sustainable water future starts with a household's water usage, with sensors connected to water outlets within the home. These sensors attach to existing taps, pipes, hoses or appliances that use water (like your washing machine or dishwasher). They monitor the water usage everywhere in your home where water is used, logging data to show you where you're using the most water.
Part II is a user-friendly data portal, where a household can see *how much* water they are using, *where* it's being used and *when* it's being used. With much of Australia facing water restrictions currently, it's important to know where you can reduce your water usage. H20 Hub allows for data-driven decisions, allowing everyone to manage their water consumption.
Part III is incentives.
> “When the well is dry, we learn the worth of water” - Benjamin Franklin
We want the worth of saving water to be felt before the well runs dry. That's why built into H2O Hub are incentives. Partnering with councils and local businesses, we want to offer incentives for people or households to save water. If water usage is lower than a target amount set by councils, households are rewarded with discounts on rates, discounts or rewards with local businesses and partnerships with major businesses to offer rewards.
While H2O Hub offers the ability to make data-driven decisions to change your behaviour, we understand that it sometimes takes more to develop good habits that will benefit everyone's future. It's for this reason the incentive feature has been included, but not only will it reward responsible water management, but also creates a 'full circle' effect where the local economy can benefit as money is spent on local business.
Regions, where H2O Hub is rolled out, should be informed about the product and service, as well as the benefits, through their water provider. A brochure should be included in their water rates notice, an information kit provided to new home buyers or builders available from the council, and promoted on water provider and council websites.
The RoboRoyal's foresee H2O Hub having greater application than residential dwellings. It may also be used by local governments on public facilities — constantly running toilets or water leaks can be quickly attended. Conversely, a toilet that has not been flushed can indicate a malfunction and a repair crew dispatched. Increasing sustainable use of water all around.
Through the use of connected smart sensors, digestible data accessible for households, and ingenious incentives (alliteration (!), we know), *H2O Hub is creating change for our future.* Councils within drought-declared areas have imposed water restrictions to limit the water consumption of each household. Within Queensland, these water restrictions are particularly strict in the Gladstone, Toowoomba, Ipswich and Bundaberg local government regions (Queensland Government – Drought Declarations). By the end of spring, the main water supply reservoir for Stanthorpe will be dry (www.abc.net.au, 5/8/2019). Towns that rely on underground water sources, such as Alice Springs also need to be mindful that the supply is finite and cap water use (Alicewatersmart.com.au). Australians need to ensure water consumption is sustainable and accounts for seasonal variations in supply and long-term climate change.
Reducing unnecessary consumption of water in our homes is vital to ensure a sustainable supply as our population increases. This is supported by the data from the Australian Bureau of Statistics (ABS) Water Count 2015-2016, ABS Water Count 2016-2017 and CSIRO CMIP5 Climatologies.
Data from Census (ABS), Water Account Australia – State and Territories Summaries (ABS) and the National Water Account (Bureau of Meteorology) allowed us to use information regarding water availability, population and average water use per person.
We assumed that the water used on Antarctic bases (Australian Antarctic Division) per person (approx. 110 litres/person/day) is the minimum requirements. We compared that to the average amount used by a residential household (168 litres/person/day in Unity Water area).
To model our solution, we used data available from various web sources to create a mock-up dataset. This data replicates that which would be received by the sensors in our solution. We created an MVP dashboard using this data to show how data-driven decisions can enable more sustainable water use. |
| Helping Small Business with BizValidator |
JOCAR |
Sydney |
4 |
4 |
BizValidator makes it easy for businesses to find the information they need through a government portal. BizValidator allows potential business owners to enter the area and type of business they are looking to establish. This information is then fed into the decision support module which evaluates the top three factors important to the success of this type of business.
This system is designed to scale infinitely but key datasets include:
Victorian and NSW Government Public transport stop locations
Liverpool City Council Pedestrian Sensor data.
Australian Government Stocktake of Australian Innovation Precincts
|
| Help with HELP |
McBride Mob |
Albany |
4 |
|
Use Education Department, ATO, and ABS datasets to enable user to visualise the demand for various occupations within industry sectors and see the level of Higher Education Loan Program (HELP) debt accumulated by people working in those occupations. |
| Historical Agricultural Methodology Index [HAMI] |
Harold Holt Swim Team |
Mount Gambier |
6 |
3 |
A website based index of historical indigenous farming methods and forum for new and upcoming farming startups. To prepare for our future, we must look into the past. Applying indigenous Australian techniques that have been honed for millennia we can distinguish one of the largest agricultural exporters [Australia] from the rest of the world’s market to meet the rising global demand for food; both plant and animal based. we aim to provide the agricultural industry with a liaison between science and historically specialized methodology. The advantage of this distinctive service is that it also enables farmers to forum and query among themselves and within their community, while maintaining them up-to-date on the industry's latest innovations, continually supporting the most economically feasible, green and sustainable techniques, integrating perfected indigenous methodology.
We would use a collection of data relevant to; new farming techniques, developments in the agricultural science sector, new and contemporary environmental issues.
Jackson-Nakano, Ann 2002, The Pajong and Wallabalooa : a history from the records of Aboriginal farming families at Blakney and Pudman Creeks, 1820-1945 and historical overview 1945-2002, Aboriginal History Inc, Canberra
https://trove.nla.gov.au/work/16257362?q=aboriginal+farming&c=book&versionId=44577628
New South Wales Aboriginal Land Council (issuing body) 2012, Guide to the carbon farming initiative, N.S.W. NSW Aboriginal Land Council
https://trove.nla.gov.au/work/191433377?q=aboriginal+farming&c=book&versionId=208933336
New South Wales Aboriginal Land Council (issuing body) 2012, Guide to the carbon farming initiative, N.S.W. NSW Aboriginal Land Council
https://trove.nla.gov.au/version/208933336
Trove
Luo, Zhongkui; Eady, Sandra (2019): Modelling soil organic carbon dynamics from 2009 to 2070. v1. CSIRO. Data Collection. https://doi.org/10.25919/5d0b09e683801
Sanderman, Jonathan; Reseigh, Jodie; Wurst, Michael; Austin, Jenet (2014): Soil carbon in native grass-based pastures under different grazing management practices in South Australia. v1. CSIRO. Data Collection. https://doi.org/10.4225/08/53B0EC7D91D4B |
| History Box |
LOL Historians |
Launceston |
7 |
4 |
Exploding history from the dusty digital archives.
There's a lot of history available through various national and state repositories that are extremely entertaining. We observed team members' reactions to watching them thought almost everyone we knew here in Launceston would enjoy looking at the archives as much as we did.
History box is an app that aims to engage the Launceston community with history. It scrapes several archives and collates it in an app using location data and key words. The user is invited to upload photos, video, reviews and links to become part of living history. These can either be of the place or object or their reaction to it.
Although this app was developed with locals in mind, it can also be used by future visitors to find out more about Launceston before they leave home. Potentially providing commercial benefit to our community. Our major data sources are Trove (National Library of Australia) and Tasmanian Archive and Heritage Office (Libraries Tasmania). We used the Heritage Places data source from Launceston City Council to help us handpick some points of interest and developed queries to scrape Trove and TAHO. |
| Housing Crisis |
Team Grey |
Hobart |
2 |
2 |
Hi, my name is Will and my entry is a visualization of properties within the city of Hobart that could be subdivided to alleviate the housing crisis the city is currently facing. I used the several shapefiles containing zoning polygons, and property parcels and information.
The interactive map I created shows properties with a calculated area two times greater than the minimum area required for a subdivided lot given the property’s zoning – plus 150 SQM for common property (driveways).
It was difficult to determine which zoning scheme each property fell under. To do this I used the property’s coordinates to determine which zoning polygon each property appeared within. Armed with this information, I could determine what the minimum lot size would be per property.
I filtered out those properties whose area was insufficient. For the purposes of demonstration, I only used a handful of zones with the City of Hobart but there’s no reason this map couldn’t be extended to include all of Tasmania.
The attached map could be used by property owners, investors and developers to help identify those properties that could be subdivided. While investors and subdivisions are often the source much community anxiety, Hobart is in the midst of a housing crisis and we need more homes. My map will help facilitate the subdivision process.
I didn’t add all the features I wanted. I ran out of time. I wanted to calculate the frontage of each property by summing the length of a property’s intersection with the adjacent road. This would allow me to filter out those properties with an insufficient frontage. Currently, the map shows too many properties that have insufficient frontages to be truly useful. An interim work around would be to increase the area requirement of properties.
I also wanted to write a code that determined whether the properties included on the map were currently listed for sale, and if so, their asking prices.
---
title: "Tasmanian Developable Properties"
author: "William Farrell"
date: "9/7/2019"
output: html_document
---
```{r warning=FALSE, include=FALSE}
library(tidyverse)
library(rgdal)
library(tmap)
library(readxl)
library(jsonlite)
library(leaflet)
library(sf)
library(spatialEco)
library(janitor)
library(rgeos)
library(rmapshaper)
library(sp)
tmap_mode("view")
```
```{r include=FALSE}
#Load Zoning Data
Zoning <- readOGR(dsn="D:/Downloads/INTERIM_PLANNING_SCHEME_ZONING_STATEWIDE",layer="interim_planning_scheme_zoning_statewide",stringsAsFactors=FALSE)
#Load Hobart Data
Hobart <- readOGR(dsn="D:/Downloads/LIST_PARCELS_HOBART", layer="list_parcels_hobart",stringsAsFactors=FALSE)
#Create Roads shape
Roads <- Hobart[str_detect(Hobart@data$CAD_TYPE2,"Road"),]
#Load Tasmanian Addressses Data
Address <- readOGR(dsn="D:/Downloads/LIST_ADDRESS_POINTS_STATEWIDE",layer="list_address_points_statewide",stringsAsFactors=FALSE)
#Load minimum land sizes for subdivision by planning zone
zoneMinLand <- read_csv("zoneMinLand.csv")
#Tasmania <- raster::bind(Hobart,BreakoDay)
```
```{r, Assign Zonings to each property}
# Convert to sf-objects
Address.sf <- st_as_sf(Address)
Zoning.sf <- st_as_sf(Zoning)
#Join zoning to addresses
addressZoning <- st_join(Address.sf,Zoning.sf)
#Filter property types of interest
Resi <- c("APARTMENT","HOUSE","UNIT","TOWNHOUSE","FLAT")
addressZoning <- filter(addressZoning,
(addressZoning$UNIT_TYPE %in% Resi | is.na(addressZoning$UNIT_TYPE))
&
(addressZoning$PID>0)
)
#Reduce columns
addressZoning <- select(addressZoning,PID,UNIT_NUMB,ST_NO_FROM,NO1_SUFFIX,ST_NO_TO,NO2_SUFFIX,STREET, ST_TY_CODE, ST_TYPE,ST_SUFFIX,LOCALITY,STATE,POSTCODE,ZONE,PLANSCHEME)
addressHobart <- Hobart[Hobart@data$CAD_TYPE1=="Private Parcel",]
addressHobart@data$PID <- as.numeric(addressHobart@data$PID)
#Reduce columns
addressHobart@data <- select(addressHobart@data,PID,VOLUME,FOLIO,CREATED_ON,COMP_AREA)
addressHobart@data <- left_join(addressHobart@data,addressZoning,by=c("PID"))
addressHobart@data <- left_join(addressHobart@data,zoneMinLand,by = c("ZONE", "PLANSCHEME"))
addressHobart <- addressHobart[!is.na(addressHobart@data$MINLANDSQM),]
addressHobart <- addressHobart[(addressHobart@data$COMP_AREA/2+150>addressHobart@data$MINLANDSQM),]
addressHobart@data$PID <- as.character(addressHobart@data$PID)
addressHobart@data <- addressHobart@data %>% select(-geometry)
addressHobart@data$Address <- paste(addressHobart@data$ST_NO_FROM,addressHobart@data$STREET,addressHobart@data$ST_TY_CODE,addressHobart@data$LOCALITY,addressHobart@data$POSTCODE)
addressHobart@data$Title <- paste(addressHobart@data$VOLUME,addressHobart@data$FOLIO,sep="/")
```
```{r, Map}
Map <- tm_basemap(leaflet::providers$Esri.WorldImagery) +
tm_shape(addressHobart,bbox = "Tasmania") +
tm_polygons("ZONE",alpha = 0.5,popup.vars = c("PID","Title","Address",'Calculated Area'="COMP_AREA",Zone = "ZONE",'Minimum Subdivision' = "MINLANDSQM"))
Map
tmap_save(Map,paste("Housing Crisis (",Sys.Date(),").html",sep = ""))
```
|
| I.E(Interactive Education) |
The Troublesome Corner |
Bunbury |
1 |
1 |
Interactive website to teach about the water cycle and other |
| ILI - Innovative Land Index |
CeRDI-fied |
Ballarat |
4 |
7 |
# Team CeRDIfy
## Our Team
- Daniel Ferguson - Team leader & developer
- Dr. Angela Neyland - GIS expert & video editor
- Dr. Basharat Ali - Researcher
- Chris Bahlo - Overall ninja (actually a knight)
- Derek Walters - Researcher
## Innovative Land Index (ILI)
The Innovative Land Index (ILI) is a proof of concept of how a holistic data-driven approach could be used to make better future planning decisions for land zoning. This focuses on providing an index based on soil characterstics, rainfall and the distance from the major urban centres of farmland and therefore their relative importance to preserve into the future.
## Methodology
For full documentation of the method of analysing and interpreting the data, to exporting the final raster please see our [GitHub ReadMe](https://github.com/DanielFerguson/Govhack) which includes images and references to data sets in use.
## Website
Another great resource is [our website](https://ili.best/), which outlines research on considered variables/topics, limitations of the proof of concept, future directions and more. Also - have a play with the interactive map of the index while you're there!
### Nominated Awards
#### National - Waterwise
Water planning across Queensland is complicated, involving over 300 surface water supplies and almost 180 river systems across the Great Artesian Basin. Water permits, quality treatment, bores, spring monitoring, urban management and native title considerations all complicate the sustainable management and planning of this vital resource. The water plan framework is designed to help manage this system, however inevitably planning decisions will be biased towards competing interests, such as environmental aspects, growing urbanisation or National Parks.
The Innovative Land Index (ILI) we have created is designed to encompass all the aspects of planning and management, producing a map that better informs the planning process. Water planning often involves environmental, groundwater, surface water and intended use interaction. There is often little consideration given to the complication provided through farming activity, social requirements, pollution impact, salinity increases (or encroachment) or climate change. These aspects are usually considered either in isolation, or alongside a couple of other requirements.
A systems approach, which incorporates as many data sets and stakeholders as possible, will provide a holistic viewpoint that enables planners to make more informed decisions. ILI aims to bring together as many aspects as possible involved within the water environment. Applying these raster data sets to the Queensland Global spatial portal is one example of how the ILI could easily be incorporated into the Water Planning process in Queensland.
#### National - Innovative ways to be efficient with water
Australian water management authorities (DELWP, Water.WA, SA.Water, Hunter Water, Melbourne Water and others) all share a similar approach to address water management. The current water management system is facing too many issues such as urban growth, economics, environmental degradation or improvement, social implications and cultural diversity
Globally, there are a number of systems and innovative approaches to address water management issues. Currently, California, Mexico and South Africa are using innovative approaches incorporating education of both water users and planning officials to aid with water management. The education of the public domain as well as management planning inspired our team to develop a holistic systems management tool that incorporates as many aspects as possible.
The Innovative Land Index (ILI) tool we have designed, encompasses many aspects of planning and management, producing a map that visually educates and informs both the community and planning. Water often involves environmental, groundwater, surface water and intended use interaction. There is often little consideration given to the complication provided through farming activity, social requirements, pollution impact, salinity increases (or encroachment) or climate change. These aspects are usually considered either in isolation, or alongside a couple of other requirements.
A systems approach, which incorporates as many data sets and stakeholders as possible, will provide a holistic viewpoint that better educates the public and enables planners to make more informed decisions. ILI aims to bring together as many aspects as possible involved within the water environment. Applying these raster data-sets to the state water portals (e.g. SA Water, Water.Vic and Water.WA) is one example of how the ILI could easily be incorporated into the water educational and planning processes in Australia.
#### Regional - Visualising the soil quality of Victoria
We have created the Innovative Land Index (ILI) tool, which can help farmers and other agricultural decision makers in selecting land based on suitability for agriculture. It can also help regional and town planners to identify areas of potential high agricultural production value to take into consideration when making zoning decisions in relation to urban development. It can also inform the community’s interest in the concept of reducing 'food miles' both in terms of reducing the environmental impact of food transportation as well as providing the community access to the freshest local food. This will happen with better town planning practices informed by data.
To achieve this, we have used the Agriculture Victoria Soils API to obtain variables such as pH, soil organic carbon, and electrical conductivity were used. Additional datasets included in the project are: planning scheme zones from Vicmap Planning, land use from Victorian Land Use Information System 2016-2017, average rainfall from the Bureau of Meteorology and soil water capacity from the Soil and Landscape Grid National Soil Attribute Maps - Available Water Capacity (3" resolution) - Release 1. The OpenstreetMap API was also used.
#### International - Optimise energy and water resource planning
Water resource management in Australia is complex. Current planning often overlooks factors such as urban growth versus agricultural needs, economics, environmental degradation or improvement, social implications, and cultural diversity. These aspects should all be addressed within the planning and management framework of water and other resources.
Globally, there are a number of systems and innovative approaches to address water management issues. Currently, California, Mexico and South Africa are using innovative approaches incorporating education of both water users and planning officials to aid with water management. The need for a holistic systems water resource management approach inspired our team to develop a tool that incorporates as many aspects as possible.
The Innovative Land Index (ILI) tool we have designed, encompasses many aspects of planning and management, producing a map that visually educates and informs both the community and planning. Water often involves environmental, groundwater, surface water and intended use interaction. There is often little consideration given to the complication provided through farming activity, social requirements, pollution impact, salinity increases (or encroachment) or climate change. These aspects are usually considered either in isolation, or alongside a couple of other requirements.
A systems approach, which incorporates as many data sets and stakeholders as possible, will provide a holistic viewpoint enabling efficient planning (eg reducing transport costs) and to make more informed decisions. ILI aims to bring together as many aspects as possible involved within the water environment and has the potential to included additional layers relating to transport and water supply as well as other aspects.
We have created the Innovative Land Index (ILI) tool, which can help farmers and other agricultural decision makers in selecting land based on suitability for agriculture. It can also help regional and town planners to identify areas of potential high agricultural production value to take into consideration when making zoning decisions in relation to urban development. It can also inform the community’s interest in the concept of reducing 'food miles' both in terms of reducing the environmental impact of food transportation as well as providing the community access to the freshest local food. This will happen with better town planning practices informed by data.
To achieve this, we have used the Agriculture Victoria Soils API to obtain variables such as pH, soil organic carbon, and electrical conductivity were used. Additional datasets included in the project are: planning scheme zones from Vicmap Planning, land use from Victorian Land Use Information System 2016-2017, average rainfall from the Bureau of Meteorology and soil water capacity from the Soil and Landscape Grid National Soil Attribute Maps - Available Water Capacity (3" resolution) - Release 1. The OpenstreetMap API was also used. |
| Improve SA |
Data Geeks - Improve SA |
Adelaide |
4 |
3 |
South Australia a state of a southern central part of Australia and is divided by numerous sets of regional boundaries based on different characteristics. Why this state is good for living is, it is quick travel, everything is 20mins from the city, almost 300 conservation parks, every hikers dream, rich of marine life, cultural diversity and many natural resources. But some of its regions lacking behind in context of population, economy, industries. The government needs to invest in these regions to gain the greatest regional development. So, for the regional development, government needs to consider the factors which are obstructing its regional development.
For the economy of any region first thing that comes is labour force. If the labour force is enough for the region then economy will be better automatically. So, firstly investigate the unemployment. For this time, we are considering only one region, other can be analysed according to this way. According to Regional statistics by LGA, in port Augusta, the Number of working populations is 9304 which are in age group 15 to 64. These can work but in actual only 5168 people are employed. This means the unemployed population in port Augusta is 4136. But according to another table which shows the Labour Force status, the number of unemployed people is 567, which means 3569 people are not in records of unemployment data. So, how can government come to know the real unemployment rate. For this problem our suggestion is government should invest in creation of a portal where unemployed people can enter their qualification details and employment status. So that government can create employment opportunities according to their qualification by building industries related to their profession and interest. This not only will attract the local people but also people from other states or regions who migrated because of no/less jobs here.
Now considering another factor of import rate, South Australia spends the most on import of refined petroleum, passenger motor vehicles and goods vehicles. Because higher the import rate lowers the economy of its regions. These imports are only increasing local production declines in south Australia. Which means these industries are not much developed in here? Although South Australia regions have enough resources and people for building up of these industries, yet it is spending most of its economy on imports. So, our suggestion for this problem is, government should invest in building up of these industries in regional areas of south Australia which will ultimately boost its development and can increase the labour force as well.
Now considering the factor of internal migration, the number of internal departures in port augusta for year 2017 and 2018 is greater than the number of internal arrivals and the internal departure rate is increasing year by year. So, Government should invest in facilities like education, employment, industry and tourism to attract more and more people here.
For identifying the root cause of obstructions in regional development and showcase regions, we have studied the economy of South Australia first. South Australia's economies net worth has been on decline since 2015-16. As regional areas are focus, we have taken port Augusta for our study and identified from Labour force stats that indicates 556 unemployed people with age 15 or over in year 2016.In the same year out of reported data of labour force about 1/3rd were unemployed and were not studying anything. And there were about 5.7 percent persons were earning nil income or about 0.5 percent were with negative income. Also, the gross capital gains reported declined sharply after 2015.It has been deduced that multiple businesses with non-employing or with 1-4 employees has been continued to close, that has decreased the tax collection and stopped the contribution to the regional economy by the residents. Suggesting SA government to focus on pushing reforms to sustain these small businesses that employs local population or are the sole operator businesses. SA government or local council should concentrate on facilitating these local small businesses to sustain and flourish their businesses. So, that they could employ more local people and contribute to the economy through liquidity in local market.
By, working on our methods of data analysis and visualization, the visualization dashboards can be built for every region which will show the areas where the region is lacking behind. And, then by working on those areas, regional development can be boosted.
Also, while analysing data, we found that there is large amount of missing data, which lowers the chances for analysing data correctly. So, the data should be updated time to time in the data sets. |
| Incub8 Australia |
Team SwitchCase |
Sydney |
6 |
4 |
Australia is ranked 18 among 190 economies in the ease of doing business.
With time Australia is becoming more attractive place to launch and run a start-up, having jumped to the fifth-most start-up-friendly country in the world according to the StartupBlink Startup Ecosystem Rankings 2019 report.
There are lots of resources and services provided by government to help aspiring founders. However, many a times founders are unable to make the right decisions due to no single view of insights regarding their industry in a single place.
Our portal uses multiple data sources from government to provide predictive analytics and insights in a user-friendly manner to any aspiring start-up founder. All they need to do is select the broad business category/industry for their start-up.
The portal will give insights and provide predictions, so the start-up founder can make informed choices. The current insights are:
• employment growth,
• gender demographics,
• industry health,
• successful business that have received government assistance etc
• It will also suggest them the innovation precincts related to their business category so that they can collaborate.
Currently the portal is a Proof of concept and works at a broad industry level. It can be further expanded:
• Expand the business category to fine industry level. For e.g. Within Broad Industry “Manufacturing” there are multiple fine industry categories such as “Bakery Product Manufacturing” , “chemical Manufacturing” etc.
• Link it to planning portals for start-up founders to understand what developments are upcoming in which are for them to choose the best location
• Train the Predictive model with more industry data to provide better analytics for the start-up founders. We have used multiple data sets across a wide range of categories all relating to taxation, business categories, labour participation from the following sources:
• ATO – Australian Taxation office
• NEIS - New Enterprise Incentive Scheme
• LMIP - Labour Market Information Portal
• Australian Innovation precincts
These data sets contain lot of information that can be used by any aspiring start-up founder or business owner to help them with strategic planning and business risk management. However due to the different formats and multiple sources there is no coherent story.
Our website combines all these data to provide a single story to any prospective startup or business founder.
|
| indigi : The Indigenous Language Learning App |
TheKelliFanClub |
Sunshine Coast |
8 |
5 |
Our project aims to create platform that raises awareness and helps to promote and preserve the Aboriginal language. Through gamification we will create an indigenous language learning application known as “Indigi”, that allows for easy learning and understanding of various indigenous dialects.
Indigi features many functions aimed at creating an interactive and entertaining learning experience. The app allows the user to learn from over 90 indigenous languages, with features identifying the most commonly used and region spoken dialects based on geographical locations. The app supports users through their learning by utilizing common language learning techniques with categories based on basic words, phrases, plurals and other core topics such as animals and clothing. Each category is recorded to track their progress through each language. To further this, a trophy and reward system topped with ability to add and compete with friends, encourages the user to continue learning and developing their skills within a friendly competitive environment. Here we have an example of a basic question, displaying the animal and associated word. Once correctly selected, the app communicates the correct pronunciation. As the user progresses, the quiz questions increase in difficulty and require the user to recall previously learnt words and phrases.
There are various opportunities to promote user engagement both within the aboriginal and wider communities. Advertising with aboriginal owned and run businesses as well as community outreach programs such as Closing the Gap, will help raise awareness to aboriginal families looking to learn and preserve the indigenous dialects. Furthermore, the implementation within learning environments (like schools or alternative learning programs) should be considered. Through gamification, the app aims to engage the youth and provide an entertaining learning experience. Due to the interactive map feature, the app provides an opportunity within the tourism industry to educate users about the local dialects spoken for the respective travel destinations.
Our application can utilize community liaisons and experts within that language for further information on the datasets, this will help provide Jobs for elders and community members knowledgeable in their respective languages. By working with these indigenous communities we will ensure positive social impact.
The Primary data used for this project will be sourced through the State Library of Queensland. These data sets include a large variety of Indigenous dialects. Although some of these data sets are currently limited, we hope that by working with community liasons and experts of each particular dialect. We can ensure that each language has as much data as the next. |
| Innovation Impact |
Victory&Beyond |
Brisbane |
3 |
3 |
The impact of Innovation Centres - Better training, experience and the impact on Startup opportunities How innovation centres improve to success rate of starts ups, small business and employment growth |
| Insight Without Sight |
Insight Without Sight |
Fremantle |
2 |
2 |
Insight Without Sight develops two programs in order to solve two issues for visually impaired people.
First, it helps them visualize graphs. Instead of displaying a picture, Insight Without Sight proposes sounds of lower and higher frequency to describe the curves.
Second, Insight Without Sight proposes voice commands to browse Queensland's OpenAPI. Anyone can access any dataset and obtain its basic insights.
The sound visualization describes a graph with sounds. The graph is from a dataset I cannot retrieve the name, but here's a link: https://www.data.qld.gov.au/api/3/action/datastore_search?resource_id=2017-indicator-4-1-0-6-1
Computers have different frequency ranges. I recommend running the code with headphones to appreciate the sound visualization to its full. The presentation video does not do the code justice.
I've found that dataset after searching "water" with the other tool I have developed: a Queensland OpenAPI voice navigator.
The voice commands allow a user to navigate through Queensland OpenAPI. As a result, it gives access to any dataset available through the API. |
| InstaPlace: Going Online for the Best of Offline. |
GSG Govhackers |
Albany |
8 |
6 |
InstaPlace is focussed on developing a sense of place for our young people, which is the fundamental way in which they can understand who they are. The region in which someone grows up, the places they visit and the relationships they form are crucial in this process.
InstaPlace seeks to support our young people in developing this sense of place by offering a platform that lets young people become content creators for their local communities. They can share real, 'offline' experiences by uploading short videos (no longer than 90 seconds) to the InstaPlace Community.
Young people can tag their Experience Videos based on interest groups. Videos are also aligned to data-points which will help other users to find great experiences and help them to find their 'place' in their local community.
Transportation is a significant factor for young people. Recognising that this is difficult, especially in regional and remote Western Australia, the platform will integrate options for young people to map out their journey to points of interest using public transport such as bus routes and walking paths.
A future version of the platform will include options for bicycle sharing to allow more transport options for our young people.
InstaPlace is all about supporting young people to become resilient through connection to place and community and to find great offline experiences where they live.
The InstaPlace app sources data from OpenStreetMaps to create a platform where young people can upload Experience Videos from key locations around their city. It's about connecting users of the platform with 'place' through social expression online, supported by open data.
Users of the platform find experiences through a quadrant model focussed on Cultural, Historical, Entertainment, and Recreational experiences.
The OpenStreetMap will have a series of overlays making use of open datasets that support Content Creators of the platform and provide additional data from government sources.
Current datasets provide cultural experiences by using Heritage Council of Western Australia Aboriginal Heritage Places data. Environmental data is sourced from CSIRO with a focus on the dataset 'Atlas of the Living' which allows users to develop a sense of place connected to the environment. Users of the platform can access points of interest data from this dataset, as well as add to it within the InstaPlace platform.
Department of Transport transportation routes recognises the need for viable transportation options that are easy for young people to access. Future versions of our platform will use data to facilitate bicycle-sharing at bus stops and public transport hubs.
To support mental health outcomes for young people, access to Department of Health health services and establishment data as an overlay will be included. This data overlay will be displayed to all users all the time, as a prompt to driving positive mental and physical health outcomes.
Data will also be sourced from the Community Information Exchange to provide users an overview of realtime events happening in the local community. This will also allow local government to provide Events as a point of interest overlay.
The use of data will drive the InstaPlace platform to be a simple 'one-stop' to use for Content Creators to share experiences happening in their local communities. It will make it easy for those searching for an experience in their local town to find something that suits their interests.
The economic development of small businesses will be supported as Content Creators are incentivised to upload videos frequently to maintain access to in-store discounts from those InstaPlace Supporter small businesses. |
| In Tent City |
In Tent City |
Melbourne |
2 |
|
Homelessness
Include a plug for services
People coming to Melbourne because the homelessness services are better than anywhere else in Oz
An opportunity to change the face of homelessness - Something about culture - There’s a community -We’re not drug addicts, we’re not abusive, we’re just real humans who fall in to this situation
A story of the missing data - What’s not showing up in the data?
Homelessness stats reported in the media vs what’s in the government data
Something about homelessness and anonymity.
We took a broad sample of datasets, including
ABS Census 2016 (Estimating Homelessness)
AskIzzy Open Data Portal (Service Supply / Demand, Demographics)
AIHW Open Data (Number of months homeless, Specialist Homelessness Services Collection data cubes)
ASGS Shapefiles
And produced a set of statistics, visualisations and data stories that challenge stereotypes about homelessness.
|
| Interactive Culture |
Artificially Intelligent |
Adelaide |
3 |
2 |
This project addresses two SA based challenges, Digital Culture and Physical Culture. Consequently our project is made of two parts. The first is a website that does neural style transfer to convert curent day image back in time to colonist era with the image style of your choice. The second is inteactive exhibit that will match your face with the face of a colonist.
# Interactive Culture
This project addresses two SA based challenges, Digital Culture and Physical Culture. Consequently our project is made of two parts. The first is a website that does neural style transfer to convert current day image back in time to colonist era with the image style of your choice. The second is interactive exhibit that will match your face with the face of a colonist.
# Digital Culture - Neural Style Transfer
This project used both the old colonists photographs dataset from the State library of South Australia and the South Australian Government Photographic Collection from the History Trust of South Australia. To preprocess the data we used a facial detection and recognition system to automatically detect people in photographs and crop them out to an appropriate size.
https://data.sa.gov.au/data/dataset/south-australian-government-photographic-collection
https://data.sa.gov.au/data/dataset/old-colonists-photographs
# Physical Culture - Colonist Face Matching
This project is a physical interactive exhibit that uses a camera and machine learning to show you which Adelaide colonist you most look like. Simply stand in front of the camera and a similar looking colonist will immediately be shown on the screen.
The past doesn't feel that far away when you know there was someone that looked like you walking around.
### --Colonists Portrait Images
https://data.sa.gov.au/data/dataset/old-colonists-photographs
We found this dataset on the state library that had just over 1000 old colonist portraits. The dataset consisted of csv files that contained info about each photo and a download URL. There were separate csv for men and women.
We used python and pandas to load the csv files and join them together in one big dataframe. We iterated over each row in the pandas dataframe and downloaded each colonist image from the web. The images were saved with the record id as the name so that data association could be made later if needed.
### --FaceNet Features
https://pypi.org/project/facenet-pytorch/
https://github.com/timesler/facenet-pytorch
FaceNet is a open source project that uses a deep convolution neural network to convert an image of a face into a feature vector. The feature vectors are 512 elements long and encode all the unique features about a face. The training algorithm that was used ensures that every person gets a unique feature vector for their face. To check if two faces are similar you can simply compute the L2 distance between two vectors.
### --Colonist Portrait Face Features
To quickly match faces we used a python script and FaceNet to precompute a feature vector for every colonist image. The feature vectors were saved in a python dictionary that is indexed by the record id.
### --Real Time Predictions
We use python and OpenCV to capture images live from the webcam and use FaceNet to compute a feature vector for every frame that has a face in it. We then compute the L2 distance between this feature vector and every feature vector from the colonist portraits. The colonist that has the smallest L2 distance has the most similar face and shown to screen.
|
| iSafe |
Team Soul |
Melbourne |
3 |
6 |
The idea is with help of Governement, Communities and Organisations , Provide the capability for public at risk to get notified of the emergency Event nearby and Help them navigate to nearest Safe Zone. Also Provide capability for the Emergency Department to assess the impact of the incident with respect to number of People at risk and View of the Evacuation Procedure to better manage Emergency and save more lives.
The Platform serves the Civilians and Admins , Civilians use the Platform and Mobile Application to get the nearest location of the Safe Zones in the event of Emergency.
Platform Provides API layer to Councils / Community Group / Organisations to enrol the Safezone which they can Manage. SafeZone can be enrolled to have different characteristics like capacity , type of Event it can handle.
Platform provides Web Layer to the Emergency Department to better manage the incident by providing view of the Civilians at risk in the Incident Zone , Civilians in the SafeZone etc.
We have used the Data from following Systems to come up with the domain model
- QLDTraffic GeoJSON API
- Vic Emergency Data
- Pedestrian / Vehicle Count from LiverPool City / Melbourne City
- Google Map APIs
We need to add data for safe Zones across the city, and availability of safe zones will be decided based on the event type, location of the incident and intensity and civilian count. |
| It’s Bin Long Enough. |
Elly and Lilli |
Mount Gambier |
9 |
11 |
Starting July all general consumables for sale need to have a scannable barcode in relation to our App “Global Disposal Proposal”. The app connects with marketers, producers, buyers and manufacturers to clearly inform users on the correct way to dispose of packaging. We used 11 data sets across a wide range of categories all relating to waste and recycling. These data sets help statistical information become easily accessed via our app; different location, prices, and times also become available through our app; and different types of waste and rubbish information is all linked through it as well. |
| I want to go to there |
Digital Transformers |
Sydney |
5 |
12 |
Imagine you want to go out for a picnic, fly a drone or train for state of origin. Is it a good day? Where should you go and how should you get there? Will there be trees there?
This online map covers many areas of Australia and combines many data sources you won't just find on Google or Bing Maps. Data includes air quality, current bushfires, weather current and historical, vegetation cover, heat island detection.
Combining this data into a single user interface required writing APIs change multiple data sources into common open formats that could be used in a webbrowser and did not take too long to load.
Credits:
Air particulate levels good/bad based on https://www.qld.gov.au/environment/pollution/monitoring/air/air-monitoring/air-quality-index but some datasets are used with current levels rather than 24 hour averages.
All emojis designed by OpenMoji – the open-source emoji and icon project. License: CC BY-SA 4.0 https://github.com/hfg-gmuend/openmoji
Logo: Robot by Lluisa Iborra from the Noun Project https://thenounproject.com/search/?q=transformer&i=1182439 Mashes up weather, air quality and bushfire incident data from many sources to provide a useful map of locations for outdoor activity.
The spatial data came in differing formats/column names and sometimes was too large to display. API proxies were created to convert each piece of data into a common format for display on the map.
Some of the conclusions drawn were that there are many areas that are consistently too hot and have little vegetation. Also during QLD bushfires, air quality can be very low making outdoor activities hard. |
| iWing-Project 681 |
iWing-Team 681 |
Hobart |
4 |
3 |
The Darwin government has provided a wealth of accessible traffic infrastructure data that will help Identify (and justify) the ideal locations for e-mobility stations in Darwin CBD. In this challenge, our team will present a method to identify the location of sub-traffic stations. Due to limited time, we will give an example of location information based on this method later. This challenge will focus on the methods we have found and their practical feasibility. According to the survey, in 2016, both people across Australia and the northern territory of the people's way of major commuter is private cars, the proportion of more than 50% (https://profile.id.com.au/australia/travel-to-work? WebID = 250). Electric cars have attracted a lot of people's attention because of their environmentally friendly features, and the government is hoping to increase investment to attract people to use electric cars for commuting. Electric cars, on the other hand, are a headache because of the scarcity of charging facilities. Electric car owners can choose to charge at home after work, but how to charge in the work area at work or in CBD on weekends is a headache.
According to our team, the principles for establishing e-mobility stations in the CBD area of Darwin are as follows:
1. It should be built where there are enough parking Spaces
2. The address does not affect traffic
3. It's not far from the destination of most commuters
The principle of the first and the second is based on the charging time is longer (https://pod-point.com/guides/driver/how-long-to-charge-an-electric-car) generally, therefore charging vehicles should not affect the normal traffic. The third point is to consider the availability of charging facilities. If an e-mobility station is built very far from the destination, people will not choose it.
The data sets we mainly used were Transportation Application, City of Darwin Parking PayStay Zones and Google map Traffic Layer API.
After the above three principles are digitized, two structured data standards can be obtained:
1.Shap_Area field (Transportation Application) is greater than 3000 or Total_Parking_Bays is greater than 250 (City of Darwin Parking PayStay Zones) (to meet sufficient Parking Spaces and not affect traffic)
2.Google map shows congestion on Monday at 8.30am and Saturday at 12.00pm
Their idea is to screen the Parking Spaces with Total_Parking_Bays field greater than 250 through City of Darwin Parking PayStay Zones, pour their coordinates into the Google map Traffic Layer, and observe whether the two periods of 8.30am on Monday and 12.00pm on Saturday are congested to confirm whether the Parking lot is suitable.
Through the above methods, we found that Carparks: SRFCP198 is an appropriate choice.
Currently, in our work, we have encountered a resistance. There is no coordinate data in Transportation Application and the data that can be linked to City of Darwin Parking PayStay Zones. But our group was convinced that since both data sets could be presented in arcgis, coordinate data must exist. |
| Jabiru the final frontier |
Mars attracts |
Darwin |
3 |
6 |
A case for a new space tourism industry to be based in Jabiru. A large portion of the population in Jabiru works at the nearby Ranger mine. (ABS data). When the mine closes, these people will likely move. Vacancy = opportunity for a new industry. Based on forward projections from the CSIRO and Australian Government, the space industry is set to boom. Given Jabiru's proximity to the recently announced Nhulunbuy spaceport, it can benefit from the emerging space sector. |
| JAKAJA.V |
APEX SOLUTIONS |
Sydney |
2 |
5 |
What is the tool
Our tool provides individuals the ability to compare the current state of their life to historical bankruptees, allowing them to assess the statistical likelihood of bankruptcy.
How does it work
As you enter personal details, you will be presented with a percentage chance of the relative likelihood of bankruptcy. Profiles of people who are more likely to declare bankruptcy are encoded into the calculation of the likelihood, allowing you to look through a comparative lens to assess your financial situation. There will be resources provided on how to get in touch with financial counsellors and prepare in the event of a bankruptcy. We explored the AFSA data set after reading the challenge and began developing a model in which we allow individuals to compare their own profile with that of the dataset, encapsulated with a percentage likelihood. We added other datasets such as other AFSA datasets and the ATO Taxation Statistics. |
| Jinder - Tinder for Jobs |
Jinder |
Sydney |
5 |
35 |
Our research demonstrated that small businesses are unable to reach and communicate to job seekers in an effective matter. Inspired by the “Nudge unit” and rising research in behavioural insights, we have developed a simple job description generation tool that connects to existing systems. Small business owners/managers can then submit their job requirements into our tool to generate the optimal job description and ad for their role.
There are two million small businesses that drive 44 percent of national employment and contribute 343 billion dollars to our economy, yet 30% of our small businesses have job vacancies they can’t fill. Survey data shows that 77% of businesses are struggling to find any applicants or ones with the right skills. There are over 730 000 job seekers
By understanding This two sided marketplace, we have identified behaviours that small business owners exhibit that we can help solve in an easy, accessible, simple and timely way. |
| Jobit |
HackVision |
Melbourne |
4 |
7 |
HackVision's Project is seeking to address how recent and future changes in the labour market can assist in preparing young people for job opportunities through predictive modelling.
We have extended the concept to overlay training and ATO income data by the QLD region with an Aged Care industry focus to demonstrate how we can leverage open data to help individuals optimise occupational decisions and at a grass roots level assist the community in maximising employment outcomes.
HackVision have created Jobit, a POC 'mobile first' app which addresses audiences through a series of channels, engaging the job seeker, the employer and the training organisation by combining and layering various datasets at a federal, state and potentially local government level to demonstrate the potential of open data and power of predictive modelling to solve a long standing issue with a fresh, data driven approach. Our project focused on regional sector and industry specific data for QLD and Aged Care Services blending and layering data from ABS, ATO, LMIP and QLD Open API data-sets to articulate the extensibility of the Jobit solution and its potential in incorporating the use of predictive analytics to support targeted training and education initiatives, optimising the occupational decision making process for jobseekers |
| JobsAndGrowth |
GrowthAndJobs |
Canberra |
5 |
|
# Question
How can we use open datasets to help job-seekers and entrepreneurs take advantage of their skills and emerging market opportunities?
# Solution
Our solution uses machine learning and AI to predict changes in the job market, at a national and regional level.
JobsAndGrowth allows job-seekers to make the most of their abilities. You can find out what jobs will be in demand in what state and hwo much they will pay, using AI predictions for up to 5 years into the future. The provides job-seekers with a broad array of choices that they can make, to balance different incentives. Navigating these choices is easy with our simple, intuitive, and reactive interface, which allows you to search and filter by the criteria that are relevant to you. Interested making a career change to a similar job in your state? We can help. Interested in moving interstate to take advantage of higher average wages for your career? We've got you covered.
For entrepreneurs, our platform provides a rich interface to visualize, at a glance, the current market trends in your industry and breakdowns of your income and expenses. You can see how historical trends in profits and expenses and average profit rates for businesses in your field. We also connect you to the job market. # Datasets
## ATO
- [Taxation Statistics 2016-17, Snapshot Table 7](https://data.gov.au/data/dataset/taxation-statistics-2016-17/resource/bfa7ef04-e9f2-46ff-a959-84f005dfd17b): We used this dataset to get see how number of employees and salary vary for each 4-digit ANZSCO level and each State/Territory
- [Taxation Statistics 2016-17 Individuals, Table 14](https://data.gov.au/data/dataset/taxation-statistics-2016-17/resource/78951447-8044-43b1-a2a2-ebf0c96e16bc): We used this dataset to see how tax statistics (income, dedeuctables, expenses etc.) vary in each occupation over time. Table 14b has aggregated statistics dating back to 2010-2011. We used this dataset to build models which predict future wage growth.
## Labour Market Information Portal (LMIP)
- [2018 Employment Projections - for the five years to May 2023](http://lmip.gov.au/PortalFile.axd?FieldID=2787738&.xlsx): This dataset contains LMIPs employment projections for each occupation. We used this to give job seekers an incentive to look for careers where there was strong job growth, as a counterincentive to usual wage or wage growth incentives.
- [Data Dictionary for selected datasets in the Labour Market Information Portal (LMIP)](https://data.gov.au/dataset/ds-dga-79123f89-539b-4416-8070-455a2d536492/details?q=LMIP): A data dictionary for LMIP datasets
## ABS
- [8155.0 - Australian Industry, 2017-18](https://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/8155.0Main+Features12017-18?OpenDocument): We used this dataset to get operating profits, labour expenses, and business success rates for businesses by ANSZIC code
- [ANZSIC 2006 DIVISION, SUBDIVISION, GROUP AND CLASS CODES AND TITLES](https://www.abs.gov.au/ausstats/abs@.nsf/0/20C5B5A4F46DF95BCA25711F00146D75?opendocument): We used this to understand the ANSZIC hierarchy
- [CONVERTING DATA TO THE AUSTRALIAN STATISTICAL GEOGRAPHY STANDARD (ASGS)](https://www.abs.gov.au/websitedbs/D3310114.nsf/home/Converting+Data+to+the+ASGS#Anchor1): We used this to convert between different ASGS levels |
| Jobs & Growth |
LMJD Pty Ltd |
Sunshine Coast |
7 |
13 |
The aim of this project is to create a web platform that will allow users to quickly and easily compare the available job vacancies and the average income for various jobs in regions throughout Australia. This includes features to show current trends in employment for different sectors as well as future predictions based on current trends.
The website will thus allow users to get a better understanding of the employment situation in their region and show them where their skills are required.
The data shown in our presentation has used Gold Coast data. However this could be applied to any region in Australia.
We believe that this will be a particularly useful tool for graduate students trying to find out where they can best use their degree and school finishers trying to identify employment opportunities in their region.
Furthermore, in the long term, this tool can help the government improve their resource management, by identifying areas where resources are required and where they are currently employed.
The primary datasets proposed for this website are:
- ATO Taxation Statistics for Individuals
- Internet Vacancy Index data
- Australian Bureau of Statistics data
- Stocktake of Australian Innovation Precincts–June 2019
- Gold Coast Community profile data
- Spatial data from ABS i.e. Postal Areas Digital boundaries
Data from these datasets were analysed, graphed and visualised to provide the necessary statistics and features. |
| JOBY - Prosper the Labour Market |
Opportunity Monitor |
Fremantle |
7 |
4 |
## What is "JOBY"? [*The project video can be watched here.*]()
**JOBY** is not just an interactive data visualisation tool.
**JOBY** is not just an APP.
**JOBY** is not just an integration of multi-source data and multiple advanced methods.
**JOBY** is a **knowledge and data-driven decision-making system**, including four parts:
(1) An interactive data visualisation tool for spatial and temporal labour market data presentation.
(2) A user-friendly APP that can be used on both computers and mobile phones for data search and update, geovisualisation decision making, and performing any analysis in terms of users' needs.
(3) A spatial and temporal data analysis toolbox for exploring temporal and geographically local data patterns and regional clusters, and investigating regional economic development, industry and population factors.
(4) A future labour market prediction toolbox for predicting future labour market scenarios using multi-source data, including socio-economic statistical data, satellite remote sensing data and future global climate change scenarios. Economic models, machine learning and spatial and temporal models are integrated for more accurate prediction.
## 1. Objectives
This project aims at developing a comprehensive a knowledge and data-driven labour market decision-making system. The comprehensive decision system can help government to improve the capacities of in-depth data analysis and strategic management.
**Significance**
A knowledge and data-driven decision making system
is not just a single data analysis method
or a visualisation tool,
it is a comprehensive system
including both experts' knowledge and data-driven research,
both methods and tools,
and both data analysis and serving for strategic decision making.
**Innovations**
- A series of advanced dynamic visualisation and interactive geovisualisation approaches are used to investigate historical labour market data.
- Sophisticated mathematical and spatial statistical methods are applied in exploring labour market variations. They are presented in an easy understanding way.
- Multi-source data are integrated to assess the potential factors of the labour market and their regional effects.
- Economic models, machine learning and spatial and temporal models are integrated to predict future scenarios of labour market, including the unemployment rate, participation rate and employment rate in different regions across Australia.
## 2. JOBY: knowledge and data-driven labour market decision-making system
### 2.1 Dynamic data visualisation tool
The monthly unemployment rate in different regions from 2004 to 2015 are visualised using a dynamic data visualisation tool.
### 2.2 Interactive geovisualisation decision making APP
The geovisualisation decision making APP can be visited via three optional ways.
**(1) Directly use it on the website**
**(2) Scan QR code to use it on your phone**
**(3) Click [this link](https://zacksong.carto.com/builder/632e6ba3-dbdf-4c9d-8e83-4a9cd4801e39/embed) to visit the website on your computer**
### 2.3 Spatial and temporal data analysis toolbox
Spatial and temporal variation trends analysis.
Enterprise statistics by industries.
### 2.4 Future labour market prediction toolbox
Multi-source data are integrated to assess the potential factors of the labour market and their regional effects. The explanatory variables include socio-economic statistical data, satellite remote sensing data and future global climate change scenarios.
Economic models, machine learning and spatial and temporal models are integrated to predict future scenarios of labour market, including the unemployment rate, participation rate and employment rate in different regions across Australia.
## 3. Summary
#### Practical contributions to government and communities
#### Output Summary
- **New Datasets**: Labour market reorganised historical and predicted future spatial and temporal data across Australia
- **New Visualisation Approaches and Tools**: Dynamic visualisation and interactive geovisualisation
- **An APP**: Interactive geovisualisation decision making APP
- **Innovative Findings**: National, state/territory and local trends, variations, characteristics, hotspots and potential factors of labour market. The findings can be directly applied in accurate national and regional management.
- **Practical Applications**: The new datasets, visualisation approaches and tools, the APP, and innovative findings are integrated for comprehensive, accurate and effective labour market management. The predictive and strategic management is critical for prospering the labour market.
|
| Jrnal |
Team Jrnal |
Auckland |
2 |
1 |
The app focuses on improving mental health of the society and thus sparking a more fulfilling and meaningful life.
In our daily life, every person goes through some stress or the other, and sometimes find themselves stranded in a situation where nobody really understands what they have to say.
Depression is often a vicious cycle, where people tend to hide their depression from the world and keep things to themselves, which leads to deteriorated conditions.
This app helps us all in speaking our mind out. It helps us have a companion to talk to and safe space very close to our heart. Because it is not about being advised, but more about being listened to. |
| Koalar |
Koalar |
Sydney |
2 |
4 |
# Koalar
Koalar is an app that enables travellers to help the environment.
## Trip Planning
Koalar uses the SEED and CSIRO datasets to map where the native animals are in Australia. It presents information on different animals in profiles, and just like on Tinder, travellers can swipe right to match their favourite animals that they want to visit. The app then shows the users the locations with the most sightings in recent years according to the datasets.
## Sighting Matching
When a traveller has spotted an animal, they can take a photo of the animal, and submit a sightings report. The app then uses machine learning to determine which animal they have spotted. This allows the traveller to submit any sighting of native or endangered animal species to scientists, while also providing evidence with their photo, and helping other travellers find the same animals in the future.
## Conservation
Koalar also helps conservation efforts by showing users endangered animals in their area, and educates users on how they can help the conservation efforts, whether by picking up plastic from beaches nearby, or by volunteering at the local non-profits. Users can also adopt an animal on the animal profile page, which allows them to donate to the charities that are helping the adopted animal. We are retrieving the SEED and CSIRO datasets to get sightings of animals on land and in the ocean, and clustering them to find locations with the most accurate and recent sightings for any animal chosen.
We are using data on animals including their conservation status (how threatened and endangered the animal is), population size, and non-profits helping the animals to tell a story about the environment and the animals depending on it. We hope by making this data more accessible and useful for travellers, it would encourage people to be more aware of the impact of their actions on the environment and the animals within it, which would help combat climate change.
By allowing travellers to submit sightings with photos easily, and using machine learning to help users identify the animal and specifies they have spotted, it would help scientists study the animals by crowdsourcing more data on animal movement and population. |
| Kwatyeke Akaltye-irreme |
Kwatye |
Alice Springs |
3 |
6 |
Spread awareness of water issues to new residents Our GovHack19 Process
First we looked for data sets pertaining to water supply levels and water usage. There was little publicly accessible data on this so we moved to focus on the population change and our ability to communicate with new Alice Springs residents. We brainstormed ideas around communicating with new residents and incentives to get them involved.
Technology
With help of one of our mentor we established our website at http://kwatchaculchairrema.com.au on a Vultr website host. We also used AWS RDS to host our demo database and AWS EC2 to run a small PHP server to prove our database connection.
Non-Technology
No problem is ever solved by a pure technical solution. This project aims to show that data can be gathered and for future use by engaging residents who have a real interest in their future.
|
| Let's GO! |
The Transporters |
Taradale |
1 |
5 |
The Let's go app is a transportation app for buses (for now) that uses real-time data to allow users to track their buses in real-time. This solution is aimed for smaller regions in New Zealand such as Hawkes Bay, Bay of Plenty, manawatu and other regions. This solution is not only for students, working people, elderly and event-goers but it is also useful for regional councils to keep track of their bus drivers, buses and public feedback. As this app progresses, it can be expanded to add other public transports such as trains, ferry and airplanes. The data used for the apps are taken from the Auckland transportation website and the metro info website for christchurch. The data used is the real-time data which is integrated into google maps in the app using the android studio. The data consists of mainly bus stops and bus routes and real-time bus tracker data. |
| LifeBus |
Projekt Green |
Canberra |
2 |
|
With the new bus system being introduced many Canberrans were outraged that their bus got sooo slow but thier friends bus got so quick, But not everybody can have this happen to them. So we decided to graph the frequency that busses go to each particular stop and the changes in this frequency that the new system imposed. Along the way, we also found a way to impose the data apon the growth of the population using busses per person per suburb as a measure of efficiency. allowing us to predict the lifetime of our new system We used the GTFS for action busses over 2015 to 2019 with the location of each stop and frequency of busses which stop there.
The second iteration of the project uses Population growth per suburb and the aforementioned data but converted from a coordinate to a suburb. |
| Linked |
Linked |
Auckland |
3 |
|
Transport data has always been regarded as not-so-pretty and user-unfriendly, especially to younger audiences, with confusing bus routes and complicated descriptions of directions. This in combination with the lack of an efficient, live updated platform which displays school bus routes for school children with educational values is our main driving factors for the development of Linked's business idea. Using GPS tracking, public and school buses data on Auckland Transport's open API, we are looking to develop an aesthetically appealing, user- and child-friendly visualisation of nearby bus routes starting from the user's choice of either the location they are currently at or any location of interest, in which case the nearest bus stop would be automatically selected as starting point. From this chosen starting location, the user then has the option to purely 'connect' the selected bus stop to nearby bus stops on the network, as well as the option to include congestion analysis of the routes connecting these adjacent bus stops through colour-coding. Through these implementations, we would like to deliver educational values to traffic data, which is most of the time seen as data serving little to no educational purposes. Not only would our project benefit school children education-wise, but it would also give parents/guardians of our city’s younger generations a realistic suggestion of which school bus route to send their children on in order to maximise time efficiency. Our project also serves to give people in parental roles peace of mind knowing their children are not stuck in bad traffic which leads way to the potential of unsafe/dangerous situations arising. |
| LittleBird |
Cordelta Digital |
Canberra |
4 |
5 |
As urban populations continue to grow, state governments continue motivating the public to use public transport. However, how well are the public transport systems on offer performing? A little bird has told us maybe not so well. LittleBird uses OpenData to profile public transport routes, providing a scorecard for their performance across a range of metrics including on-time performance, frequency and ridership. With LittleBird we can identify the worst and best performing routes within the urban sprawls of NSW and ACT, assisting the public make informed choices about their public transport use and governments better plan services. We connected multiple datasets from Transport NSW OpenData Portal and dataACT Portal to bring LittleBird to life. We used both real-time and historical data to analyse transport efficiencies. We then created a performance rating based on the government’s own performance ratings. |
| Little Yarns |
M&N |
Brisbane |
2 |
1 |
Little Yarns is an app that allows children and families to engage with indigenous language. Little Yarns provides children and families the opportunity to engage with our indigenous languages, building awareness and celebrating the cosmopolitan diversity of our society. Little Yarns allows kids from different backgrounds to learn language together, creating a culture of acceptance whilst assisting cognitive development in our little ones. Many studies have shown the benefits of developing bilingual and multilingual skills, particularly in childhood. The app allows parents to learn with their little ones, proving it’s never too late to start as from little yarns big yarns grow!
Little Yarns assists indigenous communities in developing language lists for educational purposes. It draws upon the State Library of Queensland - Aboriginal and Torres Strait Islander languages word lists data set, whilst enabling users to input their own data for languages not already featured. Little Yarns point of difference from other language apps is the customisation of this user data input, allowing indigenous language to be collated in community. |
| Localé |
Team io |
Taradale |
4 |
5 |
Localé is a tourism based application designed to better connect visitors to local businesses and events in a safe and stress free manner. Localé will also include local area safety and evacuation information to improve community safety. Data generated can be feed back to the council to aid in council and civil defense planning. The end goal of our idea is to have a well designed app with a great user experience, while accomplishing our core concepts well. The problem we found was that visiting tourists and locals need an easy way to get a decent dose of culture and entertainment, while feeling safe and secure in an unfamiliar environment while exploring new areas. We decided to make an app that will help organize events and activities while also providing safety information for civil defense and natural disasters.
Originally we found articles of tourist deaths in New Zealand. Upon learning of these tragedies we decided to find ways to mitigate these deaths while providing a service that will help people have a great experience in New Zealand towns while also supporting local businesses by encouraging people to visit the lesser known ones over big chains. |
| Luminair |
Digital Thinks |
Adelaide |
5 |
9 |
The Digital Thinks 'Luminair' project uses environmental and IoT data to explore questions and opportunities for health, wellbeing, placemaking, sustainability and awareness around air quality. Through commonalities and patterns of data locally and nationally, we consider how air quality data can be collated and visualised.
Contributing to public spaces, community awareness and education, the project proposes incorporating environmental data into public art such as visual lighting indicators to inform community and support individuals and communities in making informed decisions day-to-day for improved health, wellbeing and sustainability.
Luminair takes air quality data from several datasets across australia, where dedicated air monitoring stations and Internet of Things (IoT) data is being collected. Data sources include:
- Queensland Government 'Townsville Coast Guard (Townsville) 2012 hourly air quality and meteorological data' and 'Air Quality Monitoring - Live data feed'
- CSIRO 'Sydney Particle Studies 1 - Aerosol and gas data collection' and 'Sydney Particle Studies 2 - Aerosol and gas data collection'
- SEED 'Lower Hunter particle characterisation study' and 'Current Air Quality Page - live data'
- City of Darwin PM10 IoT
- Liverpool Smart Pedestrian project Pedestrian and Air Quality Sensor Data
All datasets include a 'PM10' air quality reading relating to particle matter in the air that can be used to measure impacts on health and wellbeing impacts from exposure based on air quality standards. Other comparable attributes include location, date and time.
Each source dataset has been gathered from the listed repositories and consumed as an excel or API for a point in time measure and comparison. Historical data is available for some datasets to also measure change and trends over time.
Data has been collated into a table to draw insights and explore questions raised from the proposed challenges and ideas generated within the project.
Taking a design thinking approach to the challenges and data, we have explored questions like
- How is environmental data being captured and presented?
- How might we overlay information to gather insight?
- How might we present it to people to understand what's happening locally, nationally and globally?
- How might visualising and presenting data through public art provide greater awareness and calls to action?
- What might future cities look like with integration of environmental data?
In combining these datasets, we've started to make some observations about air quality in various places and nationally. We can see that air quality is generally good or very good, however another quick observation is that the highest and lowest readings to vary greatly in the same place.
With more time and consideration beyond GovHack, there would be a great opportunity to look at standardising data being published around air quality to be able to benchmark and paint a picture of air quality locally, nationally and globally
The idea we'd like to proposed beyond the GovHack weekend is to integrate air quality data into public spaces and art. It could be as simple as a colour changing light on a pole, to show an easy visual indicator, or more detailed displays that change and adapt, based on conditions.
- 'ilight singapore' has demonstrated large scale light installations interpreting data. How could we do this in Australia?
- Melbourne is sensing air quality on street lights, could they instantly display air quality at the same time?
- Could a dynamic public installation show dust, smoke or rain 30 minutes upwind so that we have time to leave the playground and get home before a hazard hits?
Visual indicators can have a great impact on peoples experience in a city or place, and increase accessibilty of the data being publicly available and easy to consume.
Our future cities and environment will depend on how we plan them, and also how we use them. Through combination and collaboration, we are able to generate new insights, share more information and increase community accessibility and wellbeing.
--
While exploring air quality data over the GovHack weekend, we have also tested consuming air quality API to provide instant and personalised notifications to customers and communities.
Using recipe builder IFTTT, a prototype of using the Webhooks function to send notifications was tested to be able to send an instant email to an individual when air quality changes to poor.
Using Microsoft Flow we were also able to prototype a combination of steps that call the API once an hour, parse the measurement received and push notifications to a chosen device.
This was omitted from the video due to time constraints of producing a max. 3 minute video. Supporting screen shots are in the supporting evidence of work folder. |
| LYFE - Lower Your Fuel Emissions |
DanGer |
Canberra |
2 |
4 |
An initiative created by two passionate Software Engineering students from the University of Canberra.
Rethink how you commute and help reduce your environmental impact.
Calculate your commute's carbon footprint and learn about the possible alternatives. Statistics about Canberra's commuters were used to estimate Carbon emissions p.a to be used as a comparison with the user's derived commute distance using Google Maps.
Alternatives are suggested, such as breaking up an entirely car commute to sharing the Carbon Emissions with other travelers by suggesting Park & Ride Locations. |
| MackHacking 2.0 |
MackHackers |
Mackay |
2 |
4 |
being from regional queensland, as locals we understand the value and benefits of living outside the metropolitan area. Our website will give users considering a sea or tree change, access to data from across the state where they can compare some of the key lifestyle attributes and rate what is important to them in order to narrow down a region that would be suitable for them to move to. We are using data from a broad range of sources. Some of the data will be cached on the site and some will be live. |
| Mae |
ARCS |
Adelaide |
4 |
3 |
Mae is history knowledgeable chatbot that is tailored to enhance dialog and conversations using text or audio (Smart Devices e.g. Phone or Google Home) and integrates into websites, applications or instant messengers (e.g. Facebook Messenger) to get closer to end users. The goal is to deliver an enhanced and unique rich experience using AI and powered by data based on each user's interactions. Using Chatbot backed by AI (constant optimisation) for dialogs to tell stories and serve user's unqiue preferences style of interactions can effectivley promote cultural heritage is an engagement for online audiences.
Demo with Promo Music: https://youtu.be/wOYRQ9WWJPI Data from South Australian Museum Meteorite Collection, SA Memory (State Library of South Australia) and museum victoria collections articles has been used to show how queries can be done using conversational chatbots. This can be extended to personal assistant integrations (google home supported devices) easily. |
| Mental Health Journey Tool |
The Puzzling Ducks |
Wellington |
4 |
7 |
Mental Health Journey is a tool for someone to get relevant information on mental health challenges that people in their demographic are facing. Our theory that someone suffering realises they are not alone, they will be more likely to seek help.
The tool offers information to the user in three categories: what can I do to better support myself, what can I do to better support my loved ones, and what can I do better support the mental health system in New Zealand. We have collated a range of data sets to get the most relevant information for the user. These include:
- the % of people in their demographic who are experience mental distress per year, and in their lifetime
- the % of people who are suffering from hazardous drinking
- the number of people who commit suicide (per 100,000 in that demographic)
- and the number of face-to-face addiction and mental health conversations that have occurred each year
With this data we were able to identify a few key at risk groups, which we would have put given a more targeted focus on if there was more time to develop the tool. These groups were:
- young men having a high risk of hazardous drinking
- people over 60 who have less professional face-to-face conversations about mental health and addiction
- Māori men who are at a higher risk of suicide
|
| Mind Mate |
The Mind Mates |
Taradale |
3 |
4 |
Artificial chatbot buddy to support mental health well-being.
Using various sets of statistics surrounding suicide in New Zealand surrounding different demographics / categories (age, gender, ethnicity, employment) we intend to create a very simple scoring system which will be used to give the Mind Mate user an initial 'score' / risk factor. This score can change and evolve over time and as the user continues to use the app.
The reason behind the score is that it will be used to slightly tailor the responses from the chatbot dependant on the user. Ultimately the idea would be for the app to have other features (meditation, local events, notifications, etc) which will also take in to account the user's score and be specified accordingly.
We have decided not to try build an app at this stage, but to focus on creating a prototype of the bot using Google's DialogFlow software and also build a simple application wireframe using Adobe XD. Ultimately, the goal would be to integrate the bot in to a fully fledged mobile app that would be publicly available.
We are not trying to create an artificially intelligent mental health counsellor, as that is outside our area of expertise (however this is a potential area for future development by harnessing the power of machine learning), we are trying to create a simple, friendly bot which promotes positive mental health to people across the spectrum of current mental wellbeing.
The bot will be able to recognise if the user may be a serious risk to themselves if they have a low score and are asking certain trigger questions, in which case we intend to provide the user with links to services they can reach out to.
We are first using historical data surrounding suicides to address the issue in New Zealand and how it has worsened over the years.
We then utilise data on suicides which are categorised by various demographic type data to help come up with a 'risk factor' for individuals dependant on their background. Specifically, we look at suicide rates across different ethnicities, genders, locations, age and employment status.
The risk factor for each category is taken in to account when the user signs up to the app and provides basic information about themselves. They are given a 'score' which will slightly alter how the chatbot responds and reacts to the user's input. |
| Movely |
Movely |
Wellington |
7 |
11 |
# Problem
Our CBD is the heart of a growing region, an asset for our people, and an enabler for people to achieve their goals and succeed. With strong projected growth in residents, jobs, and visitors, the central city offers great opportunities for the region’s future prosperity. But with any growth, comes its challenges. Our transport system is approaching capacity while our roads are getting more congested which will start to undermine the very liveability and culture that is a city's greatest strength. With increasing changes and variables to our surroundings, it becomes more important to know what is happening along your journey so you can plan ahead.
# Solution
Movely is a simple interactive tool that allows people to visualise the traffic in real time so that users can plan their journey.
We engaged design-thinking principles to create an aesthetic, simple yet powerful tool to comprehend the current traffic situation at a glance. It can be overwhelming for people who aren’t familiar with the area to figure out how much traffic to expect in detail.
The tool caters for the planners and spontaneous people alike, who like to know how congested the roads are right now and whether it’s a good time to explore the city using their usual route or if they need to find another way to reach their destination.
Movely provides a dynamic visualisation of real time traffic with additional customized information. It features a range of options to tailor to your needs, like setting a specific location you want to keep an eye on, available car parks in your region and the number of people walking and cycling in the area near you. All this can be accessed and plugged in through a range of applications that make it convenient to access, from a web browser to your mobile screensaver. With a simplistic design, it keeps key information easy to digest while giving additional awareness to how the transport system will look like if nothing is changed in the year 2043.
# Data sources
Behind the scenes, Movely utilizes data from a range of sources.
Using NZTA’s traffic camera API, we’ve gathered snapshot images of all the different highways across New Zealand in 30 second increments. These images are used to feed through AWS AI Rekognition services that identifies the number of cars on the road for each snapshot. This data count is then used to provide a live visualization of real time traffic.
The Stats NZ Commuter matrix, Census 2013 data and population projections 2043 were used to show a historical view and make future predictions on vehicle use.
City council data was used for the 3D animated buildings and parking meter locations.
----
**Note:** Due to the size of the datasets the Application utilises it can take awhile load for first time users.
|
| Move To |
Team Move To Noosa |
Peregian Beach |
5 |
5 |
The Move-To app enables users to explore a personalised view of regional locations scored against their requirements and lifestyle choices. This enables a more informed relocation decisions to be made by users driving better economic outcomes for individuals and regions.
We use a range of open data sets including regional price index, salary levels, employment data, job vacancies, innovation precincts etc. which are combined to present a personalised score and supporting information cards about a region to the user for evaluation and comparison.
|
| My Canberra Futures 2029 |
Analysts anonymous |
Canberra |
2 |
17 |
The number of people living in Canberra is increasing
In 2019 there are around 430,000 people in the ACT. By 2029 it is projected that the ACT will be home to 500,000 people.
More people means a need for more schools and hospitals as well as public infrastructure such as public toilets and playgrounds. The natural environment and green spaces will also be shared by more people.
My Canberra Futures 2029 is a website that allows the public and policymakers to view and explore a number of interactive visualisations, to get a picture of Canberra both now and into the future, and how the needs of the city will change.
The website shows three visualisations.
To be responsive to the future and resilient to change the amount of these services, infrastructure and green spaces need to change. These are shown relative to the population in each district in 2019. The amount of these services and infrastructure required to maintain the same availability up until 2029 are estimated, with the projected populations for these districts.
Users can explore the population by selecting different districts and seeing the age distribution. They can explore the services needed in Canberra in the future, by seeing how many are needed to achieve the same ratio of current services to population, as the city grows. Finally users can look at the number of hectares of green space by district and by persons in each district.
To give you an idea of the use of this websites, a number of interesting stories are revealed by the data.
Molonglo is Canberra’s fastest growing district
Public infrastructure and services in Canberra in most districts need to increase except in Tuggeranong
Of the main population the districts, those with the greatest population (Belconnen, Tuggeranong and Gungahlin) also have the largest amount of green spaces.
Have an explore!
Currently the website is a working prototype, given more time we would
- calculate projections based on more details (such as economies of scales etc. based on data from growth of other cities)
- use different units of services
- take into account services that service multiple district
- account for loss of green spaces due to development
- compare Canberra to other regions To create this website we have combined data from a number of sources, including
• Geographic data on green spaces
• Counts of a number of services offered by the city, disaggregated by district
• And population projections
This was no easy feat. Combining the data meant an extensive process of data cleaning to make the datasets able to speak to each other, and the geographic information was analysed using geographic information systems.
Data sources:
ACT Population Projections: 2018 to 2058, https://apps.treasury.act.gov.au/snapshot/demography/act
ACT Arts Facilities List, https://www.data.act.gov.au/Arts-Culture-and-Events/ACT-Arts-Facilities-List/yjpk-an5u
ACT Police Station Locations, https://www.data.act.gov.au/Justice-Safety-and-Emergency/ACT-Police-Station-Locations/t6hf-u79n
ACT School Locations 2017 – archived, https://www.data.act.gov.au/Education/ACT-School-Locations-2017-archived/q8rt-q8cy
Basketball Courts, https://www.data.act.gov.au/Sport-and-Recreation/Basketball-Courts/igti-4f4a
Beaches in the ACT, https://www.data.act.gov.au/Environment/Beaches-in-the-ACT/qssv-b7vv
Drinking Fountains, https://www.data.act.gov.au/Infrastructure-and-Utilities/Drinking-Fountains/8eg4-uskm
Fenced Dog Parks, https://www.data.act.gov.au/Sport-and-Recreation/Fenced-Dog-Parks/9w3s-wzf4
Fitness Sites, https://www.data.act.gov.au/Sport-and-Recreation/Fitness-Sites/h4qc-3txc
Hospitals in the ACT, https://www.data.act.gov.au/Health/Hospitals-in-the-ACT/yg3r-apa2
Public Barbeques in the ACT, https://www.data.act.gov.au/Infrastructure-and-Utilities/Public-Barbeques-in-the-ACT/n3b4-mm52
Skate Parks, https://www.data.act.gov.au/Sport-and-Recreation/Skate-Parks/3np9-m3i7
Sports Grounds In The ACT, https://www.data.act.gov.au/Sport-and-Recreation/Sports-Grounds-In-The-ACT/a843-6epj
Town And District Playgrounds, https://www.data.act.gov.au/Sport-and-Recreation/Town-And-District-Playgrounds/fwth-mr9q
(Public Toilets in the ACT, https://www.data.act.gov.au/Infrastructure-and-Utilities/Public-Toilets-in-the-ACT/3tyf-txjn
Public Furniture in the ACT, https://www.data.act.gov.au/Infrastructure-and-Utilities/Public-Furniture-in-the-ACT/ch39-bukk
Green Space, https://data.actmapi.act.gov.au/arcgis/rest/services/actmapi/tp_layers/MapServer |
| myCity |
MY City |
Gold Coast |
5 |
12 |
My City
One-Stop-Shop for Tourists, Business, Cities, and Citizens.
It helps
1. Small and micro business with data insights with information on kind of business would flourish in a given region, foot traffic, Average spending power of the people, past spend trend
2. Tourists with information local amenities, Travelling around the city and also to save the itinerary
3. Citizens to find the jobs and skills needed to be employed We developed a geospatial web application using open data APIs that
Enhances the discoverability of events, amenities, and places for visitors and citizens.
Provides insights into business prospects by analyzing available data sets such as population, income and spending demographics needed for successful business establishment, job creation and economic growth helping businesses and council
Improves decision making to improve the living standards of the city
PPT Slides
https://drive.google.com/file/d/1nLmoWV_c5K56NaIHVBAp9Rsym56egYur/view?usp=sharing
please use the following url , user id and password to access live app
https://govhack.maps.arcgis.com/apps/webappviewer/index.html?id=5b458cab688745a790ca6edfce108c0a
User Id : Govhackarcgis
password : govhackarcgis@123
|
| My Environment |
The Step Dads |
Sunshine Coast |
7 |
6 |
Our project is a website/app that provides home owners with information on flood risks, fire ratings, water efficiency and solar energy potential for their specific area. The aim of the site is to engage Queensland communities with their surrounding environment through the use of spatial data. We chose QLD spatial and hydrological data to create the My Environment website as it gave us the required information to determine and rate the environmental factors needed when purchasing a home. Excel was used to filter and search for errors and ArcCatalogue was used to determine the quality and relevance of each dataset. ArcGIS and R studio were then used to analyse the data to produce the environmental ratings for each location. Finally, the data were displayed on a user friendly platform (the website) to allow users to quickly engage with their environment. |
| My Place |
Awesomely Cool |
Rockhampton |
8 |
8 |
Our vision for the weekend was to use emerging technology to create an application used in partnership with communities to promote and encourage active participation in the preservation and reconstruction of some of our most valuable and at-risk languages.
We’ve used Augmented Reality, Virtual Reality, and gamification to map not only languages, but also historical imaging of agriculture and seasonal farming migration throughout Australia.
We’ve used language datasets, APIs, GPS tracking, and image recognition to identify indigenous landmarks, words, and imagery to unlock stories in an informative and interactive game style play.
The virtual reality experience will be something that will be common in education in 2050, but can also be used by individuals for personal entertainment and education, as well as metropolitan city inhabitants, to test their regional options.
Partnering with, and using open data sets and community participation across Australia to ensure maintenance, and the growth of our application to be future resistant. Using the users location from the device we hook into the State Library of Queensland - Aboriginal and Torres Strait Islander languages word lists api to get the welcome message in the language and name of the local indigenous tribe.
The Rockhampton Regional Council Library data is used to add the local community stories to the application.
We use the Austlang Dataset and Aboriginal and Torres Strait Islander Languages along with the user location to display the local indigenous tribe's names of places and objects within the application. |
| MySALife |
Chamonix IT Solutions |
Adelaide |
3 |
11 |
Did you know that the Adelade metropolitan housing market can cost up to 56% more than regional areas (https://www.sa.gov.au)?
Using government provided open datasets in conjunction with some freely available datasets, ‘Chamonix IT Solutions’ have identified the potential for showcasing regional South Australia, which over time will help drive government investment prioritisation for the regions. With a broad target audience not limited to those already looking to migrate, MySALife captures your specific interests and requirements for residency and matches this to regional areas that have similar strengths, growth potential, or an emerging industry to entice you to make the move.
With national datasets available, MySALife can compare the proposed regional location with others to make the location feel familiar. Additional potential exists to tie your interest in with ATO data, allowing MySALife to fine tune your results based on current/past employment industries and income, and overlay your known standing with the regional statistics to help you see if it’s a good fit for you.
Over time, BI reports on usage statistics will show government agencies what areas of interest people are looking for when considering migration, enabling smarter prioritisation of marketing and investment.
Sitting behind the scenes of MySALife is a collection of select datasets from sources such as ABS, ATO, Data.sa, ACARA (MySchool.edu), with emphasis on key factors that drive residency decisions. Some of these factors include:
• Employment and business/industries
o Growth of positions/roles by area, small to large sized business growth etc
o Primary industry of region, growth of specific industries etc
o Distribution of part-time/full-time employment
o Unemployment rate
• Education
o Distribution of public/private schools, number of pre, primary, and secondary schools, enrolment statistics per school, NAPLAN results available upon application
• Healthcare
o Facilities available, coverage, local hospital(s) etc
• Cost of living and housing
o Average mortgage repayments, median house prices etc
• Quality of life/Environment
o Air/water quality, crime rate statistics,
o Average commute times etc
• And many more
Using tools such as BI, this information is displayed to the user in a meaningful way and help them through a discovery journey to help them make a decision on where to migrate.
|
| NetAid |
NetAid |
Adelaide |
4 |
|
NetAid is a data-driven social impact platform that provides our stakeholders access to government data in the form of a user-friendly dashboard. The dashboard contains various data visualizations that can be filtered and manipulated by the user to fit their analytics needs. With the NetAid platform, our main stakeholder, social impact organizations, can access the data they need to design effective programs, track their performance and be visible within the NetAid’s community.
Our stakeholders are social impact organizations, volunteers, investors and community members. The application fosters an environment of collaboration allowing for stronger interaction between these parties.
1.Employment Projections by Industry-2018
This dataset contains the information about the projected future employment in several industries across Australia.
Reference Link- http://lmip.gov.au/default.aspx?LMIP/GainInsights/EmploymentProjections
2 Job Services Australia Data
This dataset contains information about the unemployment rates of people having different demographics and education background.
Reference Link- https://data.gov.au/data/dataset/job-services-australia-data
3. 2018 Regional Projections – five years to May 2023
This dataset contains information about employment level of Jobs and Small Business Trends.
Reference Link- http://lmip.gov.au/default.aspx?LMIP/GainInsights/EmploymentProjections
4. Employment- Rate Summary Data
This is the employment and unemployment statistics across different employment regions across Australia.
Reference Link- http://lmip.gov.au/default.aspx?LMIP/Downloads/EmploymentRegion |
| Newman |
dimsim |
Melbourne |
1 |
|
The population will forever increase and our consumption of food will also increase. With millions around the world that want quick and easy fixes, they will eat food that comes from packaging. That same packaging is thrown away and never reused again! Due to this, landfills are increasing, bins are overflowing and Australia has a recycling issue.
The solution to this is allowing men to compete with one another as competitions spur creativity and a will to be better. Our future depends on the actions we do today |
| NextCrops |
ARIVS |
Melbourne |
6 |
8 |
Next Crops is a cloud based native Android app developed by team ARVIS. It helps farmers in Australia to make big decision on the next generation crops to grow on their farm land. We have crafted a cloud application that untilise a bunch of data sets such as Agriculture Victoria Soils API, Irrigation system allocations, SALI soil chemistry API, SALI land suitability API and Annual rainfall, SILO climate API. Infused with Google Vision AI, machine learning model, our solution is able to give farmers the knowledge to better understand the soil of their land, what to grow to achieve the balance among ecological environment, water usage and land sustainability. The AI algorithm used to judge the growing crops are that if the corps are suitable for growing on the soil composition, the impact on the soil of the fertiliser used on the crops, the average water quantity required, if there is any irrigation system available or just use the rain fall. |
| NextGen Transport - Smart Commute |
AccoutureRockers |
Melbourne |
4 |
4 |
Smartcommute is a better means of nextGen transport which involves on-demand services as well as eco-friendly transport service for the future. |
| Next H20 |
SoloViz |
Gold Coast |
5 |
9 |
A responsive web application built on Bootstrap and D3 libraries, reads through multiple crop and rainfall data available for all state's crop districts and provides a comparison analysis. Next H20 provides visualization of rainfall data available for all crop districts across all states. Thereby, educating the end-user in an informative way on the need for action to conserve water. This application can be used for training all age groups about the importance of water and its impact on our current environment. |
| NEXTSTOP |
Big 4 |
Canberra |
4 |
5 |
NEXTSTOP, an interactive dashboard supported by machine learning to help ACT government decision-making process for public transport development. Our project uses several datasets from ACT open data portal, such as bus stops point locations, bus stops - group by suburb, bus stops, ACT population projections by suburb (2015 to 2020). |
| NICI |
Expósito - An Exposé Team |
Adelaide |
9 |
35 |
National Investment and Commerce Initiative or NICI is a modern gateway to connect investors, migrants and tourists to opportunities and services provided by the federal, state, and local government agencies. NICI's AWS based intelligent platform employs mature services such as machine learning, deep learning, speech and language services; while leveraging open datasets from private and government agencies and research institutions. Its intelligent design means it can self-learn to continuously adapt to the changing data and environment to provide the best available information and analysis to individuals in a fast and secure manner. A 360-degree feedback loop ensures NICI is not only able to assist individuals, but also help improve bodies, such as local councils, learn through feedback and improve its products and services. NICI leverages several open datasets (public and private) providing information on economic, demographic, environmental and social factors to assist potential investors, migrants and tourists with decision making. These include datasets such as:
• Stocktake of Australian Innovation Precincts to understand the potential opportunities for individuals and businesses in relation to viable relocation or investment options;
• Labour Markets Data to explore employment projections, internet job advertisements, labour market data like employment, unemployment, occupation and industry composition;
• ABS datasets such as Housing Affordability and Census data to understand social and demographic facts;
• Environmental datasets such as Water and Weather data to provide environmental insights; and
• Several other public and private data feeds such as LinkedIn, RP data, Traffic Volumes, to further enrich the information and services provided to the individual. |
| No Fire Now |
NFN |
Gold Coast |
6 |
3 |
NFN is a IoT bush fire early warning system web management console Smart smoke detector and early bushfire warning system.
During times of bushfire, every second counts. Detecting and extinguishing or evacuating from a fire sooner can mean the difference between life and death. It can also determine how much damage is caused to property, local wildlife and bushlands.
The smart smoke detector is connected to a network of servers and reports smoke events and environmental factors such as light, temperature, Wind speed and wind direction. Depending on these variable levels alerts can be broadcasted to other nearby smoke detectors with a short message in text to inform people of where a threat may be coming from. Meaning that people will become aware of fire long before it has reached the point where it would trigger a non-connected smoke sensor. This will provide the ability for a person to make a fight or flight decision and better prepare in either case.
for example if smoke was detected 1km into bushland, the temperature and humidity levels coupled with wind speed and direction from local sensors or open data will give an indication of how fast and what direction the fire is spreading. Any sensors in that path can be remotely triggered and information broadcast about the location of the fire.
The smoke detector collects local environmental variables such as light temperature wind speed and humidity and if the sensor has been triggered locally. Once sufficient data has been collected from an area, a neural net could be trained on this data to and used to provide a chance percentage of bushfire based on current local environmental variables.
Multiple connection methods available depending on availability of connection types, for example indoor use can be configured to use the local Wi-Fi, this is the cheapest communications method, secondly mobile phone networks can be utilised to send and receive alerts, finally satellite could be used in areas with no phone network.
The device can be powered in a number of ways, provisions have been made for an internal backup battery. The indoor model can be powered using usb or power plug interfaces. Outdoor models will use solar power as the primary source of power.
The smart smoke detector utilizes low cost open source microcontrollers, sensors and accessories. Recycled plastics can be used for the housing.
The two considered models at this stage are the indoor model and the bushland model. The indoor model features a screen with two lines of up to 16 character, a piezo buzzer, smoke light temperature and humidity sensors. In the event the detector is remotely triggered information about the location of the fire will be presented and the buzzer will sound indicating the presence of a threat.
The bushland model will not need a screen, however the wind speed and direction will need to be applied as well as the other environmental factors so that the smoke detector can inform the servers of the fires likely direction of travel.
The community element of this smoke detector is in such things like if your neighbour’s smoke alarm has been triggered, your smoke alarm will trigger and display the address of the house where the fire is. which will inform the community of a danger sooner and automatically.
|
| Once Upon A Crime. |
Elly & Lilli |
Mount Gambier |
5 |
5 |
A song about Australian convicts and their history. Taking multiple data sets about Australian convicts, we used the information in them to write a song about two convicts in particular. this song is designed to be informative, and enjoyable. it is suitable for school and community. We used the data to source all our information, and combined it into song format as a story telling and learning mechanism. |
| One View Property |
Team One View Property |
Brisbane |
3 |
2 |
Looking for a property is quite challenging and stressful since there is no specific source that provides all the information. Also, finding trustful resources is not an easy process.
We have created a web application using available API on the Queensland Government website. Initially, to understand the key features for property buyers, we have run a survey among participants of GovHack 2019. Regarding the feedback and our investigations, we have developed the house searching web application. This application provides comprehensive information about the properties in Queensland. In addition to the house value, land size, and general description about the property, the application provides information about the transport, distance to the bus station, distance to CBD, flood zone, crime zone, school catchments, available parks with their distance to the property.
Using this application, buyers save their time, use trustful resources all extracted from the Queensland Government API, increase their awareness, and focus on the key features that they are caring about. This application makes a big change in property purchasing industry. |
| Optimise water and energy |
IIBIT Water |
Adelaide |
1 |
2 |
The challenge is to optimise water and energy. The application is designed TALK2SOIL through which the individual would be able to know the amount of water required for the irrigation or gardening purposes. This app will be able to connect with soil moisture sensor that will provide real time information. The grey water will be used such from households. This application would save water as well energy. |
| OptiTech Navigation Systems-Beta |
KinderGeek |
Remote South Australia |
9 |
9 |
OpTiTech Navigation Systems is an mobile app that utilises the ACT road safety camera program. The app is designed to show you the traffic speed camera locations, as well as projections of traffic congestion. Interestingly, the app also gives live feed expiation notice system (ENS) data within a local area precinct. The app provides statistical information on volumes of expiation notice offences processed in the program. Road safety experts have evaluated that by using a Optic Navigation systems mobile app that the amount of speeding related offences has a tendency to be reduced by' 6% to 8%' on roads with mobile cameras . This reduction in speeds coincided with a '25% to 30%' reduction in serious injury crashes on roads where the cameras were being used. Finally, the evaluation of the program also showed that serious injury crashes at red light camera intersections dropped. Therefore, OptiTech's technological program is the one stop solution for road safety ; locally, nationally, or globally.
How do You use the app?
When you select 'nominate a location for a mobile speed camera' you will be prompted to use the interactive map to pinpoint the location you are nominating. The first step is all about entering columns into the data set which needs to be quickly searched. Real live feeds of columns in the dataset which will be used in the following jurisdictions :-
The month the offence was committed
The jurisdiction in which the vehicle is registered
The client category
Infringement type
Camera type
Camera location code
Location description
Offence description
Total infringement penalty amount
Total Infringement count
Withdrawn infringement amount
Withdrawn infringement count
Data set Type to be searched on the app.
Camera Type; This column displays the particular type of camera used in that location.
Camera location code; A code is assigned to each location.
Latitude; Latitude and longitude are combined to give a precise location on a map.
Location; describes the street, or cross-streets where the camera is located.
Location; the latitude and longitude for mapping purposes.
Source: https://www.accesscanberra.act.gov.au/app/answers/detail/a_id/3010#!tabs-3
Important Key words; SA Police SAPOL, blood alcohol ,cannabis, drink driving, expiation notices, expiation offence,fines, fixed camera mobile, camera ,police ,safety cameras ,smoking speeding traffic, light under the influence , and unregistered vehicle.
Source: https://www.accesscanberra.act.gov.au/app/answers/detail/a_id/3010#!tabs-3 |
| Order 66 |
Ctrl Alt Defeat |
Auckland |
4 |
|
Gonna do some things and stuff. Once upon a time, there was a little bunny called Data... |
| OrganoLandView |
Pure Land Seekers |
Taradale |
3 |
15 |
In response to the need of a local organic horticultural business, to be able to visually inspect collated data, relevant to land use decisions, we are creating a tool that enables relevant and available land data sets to be selected and prioritised so that colour coded overlays, in plan view, plus various other displays, can show a land buyer or owner what they need, to quickly decide whether a particular land parcel is suitable, how valuable and for what crops. After considering what Paul Hughes said Bostock would like, we initially settled on creating a web app that would upload all the appropriate data sets. A lengthy process began, of locating appropriate data sets and seeing what we could do with them. Along the way, we checked with Paul, who generally agreed all such information would be important. Then we ran into the obstacle of finding a valuable data set which was not in any familiar text format. None of us knew much about GIS or how to access data generated for it. After finding the GIS data set format information in Wikipedia and deciding it was a hopeless prospect to write our own reader we looked for a free reader and found QGIS. After downloading and installing, it soon became clear that it could do far more than what we downloaded it for. In fact, it could be customised to make our product but there was much to learn about how.
Before then, we accepted the opportunity to see what Bostock had and motivated their request for assistance, leading to on-site discussions with Group IT Manager Paul Hughes, as seen in our video.
Progressively, we were able to see downloaded data appear in QGIS although some of us struggled with computing hardware constraints, eventually limiting us to completing our product on one, recently bought laptop. Along the way, we became aware of the ability to include land imagery, property boundaries and road labels, along with all the point, line and area data about various potential hazards, affecting land use decisions.
We then learned about how our product could be migrated into a web app, which contains JavaScript for making SQL calls to library functions, that render QGIS equivalent displays, and will make calls to serverless SQLite imbedded code, that processes queries about particular locations.
Next, we looked into how this could then be used to create reasonably efficient mobile apps, that could provide the same functionality but add on augmented reality options. It raises process load limitations, in particular, the need to transform NZ coordinates, that our data sets use, into compatible global coordinates. Instead of being a data hungry web app, it would also make sense to code versions in the native smart phone languages, like Swift for iPhone, that have a copy of our internationalised data sets, for off-line use. At the same time, be able to update these on-line and add information that might better reside on a remote, regularly updated server, like aerial or satellite image data. Such apps could then talk to equipment that has IoT devices imbedded, to augment the reality of what can be seen through a backside camera, in addition to any desired QGIS like data display transparencies. |
| OzMesh |
Team Vegemite |
Sydney |
4 |
4 |
Ozmesh is an instant, interactive mesh block statistical data visualization tool that uses NSW heat and vegetation data, ABS data and Journey To Work data to help users navigate Sydney. OZMesh lets you see all the mesh blocks in the whole country (but in this version, we didn't exactly do any optimization in the rendering so we had to limit it to sydney only), and visualize mesh block data such as urban heat, vegetation and population.
It can also visualize SA1/SA2 data. As can be seen from the screenshots (and video), you can make red/green/blue and height of the blocks, and now suddenly you can compare/contrast multiple attributes to see if there are any interesting knowledge to be gained from it.
For example, we saw that there's a pocket of urban heat in high density urban population, and there's really not that many trees around that area, as opposed to other cooler places.
We also saw that the young children (aged 0-4) years old basically only exists in suburbs with new housing developments, such as the Olympic park. As you go higher in age, you start to find people living closer to the city. Not shown in the video, but you also find older and older people towards the rural areas.
This is just in a few minutes of messing around with the tool, which took a really long time to build. Imagine what can be done when full, processed datasets are integrated into this map. You can play with data much faster with this tool than with online based tools.
We actually had to reduce the mesh map polygon size considerably, in order to render all the mesh blocks on screen at once. This was actually the hardest part and took the longest time, but fortunately we managed to get it done. |
| PAPPER: Predictive Adaptive Parking Price Estimator |
Artificially Intelligent |
Adelaide |
4 |
6 |
*WHY*
As our cities grow, the need for getting from point A to B also grows. City centers as the hub of economic activity feel the pressure from increasing traffic every day.
*WHAT*
This project addresses the issue of traffic congestion and planning for the future. The first step in addresses a problem is to be able to predict when it is going to happen. To this end, using opensource datasets and machine learning, we learn to predict the long term (how traffic changes day to day in a year) and short term (how traffic changes within the span of single day) patterns, allowing very accurate congestion prediction.
*How to stop it from happening*
We take a two pronged approach towards addressing congestion. First, we use the model predictions to feed a dynamic parking price estimator (PAPPER). The dynamic pricing looks at the demand for parking at any given moment and adjusts parking feels accordingly. This would serve and an economic incentive for not bringing personal cars into the CBD.
Second, to encourage people transportation, we provide a tool for planning agencies to know when when is high, allowing them to provide more efficient and reliable public transportation, which is better both for the environment and traffic congestion in the city. Training the model : The long term model was trained using data from [1] and [5] to study take into account the effect weather on traffic congestion. The main data came from [1] which contains traffic volumes measure at various intersections in Adelaide CBD.
People coming into CBD: While the first model predicts how much traffic is passing through the CBD, it does not tell us who is staying. For this we look at the bluetooth data and extract all the instances when the last bluetooth location recorded as in the CBD. This gives us the number of people coming and parking in CBD at any given time. Datasets used [3] and [4].
Public Transporation demand was built from [2] and [6].
[1] Traffic Volumes : https://data.sa.gov.au/data/dataset/traffic-intersection-count
[2] Metrocard validations : https://data.sa.gov.au/data/dataset/adelaide-metrocard-validations
[3] Bluetooth detections : https://data.sa.gov.au/data/dataset/bluetooth-vehicle-origins-and-destinations-sample-only
[4] Bluetooth dectection site: https://data.sa.gov.au/data/dataset/bluetooth-detection-sites
[5] Weather : https://data.sa.gov.au/data/dataset/climate-projections-for-south-australia
[6] Adelaide Bus Stops: https://data.sa.gov.au/data/dataset/adelaide-public-transport-stop-data |
| ParkMeMate |
HungryHackers |
Melbourne |
4 |
|
|
| PFJ 2020 |
Team Enterprize |
Hobart |
5 |
6 |
Choose2Refuse: the app that will let users monitor their use of single use plastics helping tell the story of the impac Plastic Free July has on the world An idea developed from a fresh look and analysis of Ipsos reports about Plastic Free July and World Environment Day
There's so much potential growth for Plastic Free July by looking at existing participation based on % of population. We predict that Plastic Free July could achieve significant growth if every country reached the same level of registration as Australia with the same level of participation of the country with the highest rate. Which country was that? Hint: it was NOT Australia, it was a country that didn't host a single event for Plastic Free July in 2019!
Watch our video have to find out which country. |
| Plaque Attack |
Plaque Attack |
Northland |
1 |
5 |
Online resource for school dental awareness and enrollment. The data came from two sources, Education Counts (MoE) website and as a direct extract from the Northland DHB. Two data tables were taken form MoE which provided the locational, descriptive, and student body population for all schools in Northland, while the NDHB provided the counts of students enrolled with a dentist. The data was pulled into an R project, where the summary, merging, and analysis of tables was performed. The resulting table was then converted to JSON where the coding team used AWS Quicksight and JavaScript to do further analysis and visualisation.
|
| Plastic Challenge |
Team Chronos |
Mackay |
3 |
5 |
Plastic Challenge is a gamified app for use with Plastic Free July. Users are rewarded with reducing their plastic usage by a points system. Businesses can join together in a Corporate Challenge against other local businesses to see who can improve plastic habits the most. Datasets have been used primarily to provide information directly to users and make comparisons with users change in habits. |
| PlistoPlastic |
Team Hosico Cat |
Adelaide |
1 |
3 |
This is an effort to identify problems of low participation in Plastic Free July.
In Plastic Free July, we would like to solve the problems by Plistoplastic Mobile Application.
We hope that the Plistoplastic can help:
- users to try and sustain their eco-lifestyle.
- make eco-lifestyle more convenient by reducing the gap between green businesses, consumers, and policy makers
- increase the ability of organisation to get green customer behavioral data with better data collection system.
- create a bigger community of eco and zero-waste living., |
| PolyVote |
PolyVote |
Fremantle |
2 |
6 |
PolyVote allows people to connect with their local representatives and inform them on the issues that are important to them. It also allows for people to vote and comment on local, state and national issues and also bills that are before the senate and house of representatives. PolyVote is creating a community of people who are interested in the political landscape of this country, and more importantly giving them a voice that has been missing in this very critical process. |
| Power Play |
H.A.C.M |
Mount Gambier |
6 |
6 |
PowerPlay is an app that serves the purpose of Educating people on energy, finding energy problems, people seeking advice and solutions to problems reported on the website, you can also keep track of how much your energy usage it is currently and also how much you are using. We used the data to identify where there are energy needs and an available workforce (unemployed people) to enter the energy factor, we can create work opportunities job. WE also created a comparison between datasets to show users how much energy they use compared to their neighbours, so they can reduce their energy use. We combined our data to create a job description. Post app will be able to capture information from all datasets to track success via statistical analysis. |
| Project 10 |
LAN19 |
Darwin |
10 |
10 |
10 GovHack Challenges combined Data relates to personal success, environment, transport, health, tourism and promotions. |
| Project 517 |
Engineering Hacks |
Sunshine Coast |
5 |
2 |
Challenge - Innovative ways to be efficient with water. |
| Project 540 |
Team 540 |
Sydney |
1 |
|
|
| Project 594 |
Toms Misfits |
Taradale |
3 |
3 |
A responsive dashboard that displays mental health data for the government and other relevant parties so they can see how their efforts are effecting the overall mental health of the citizens. Our project was to construct a way to promote positive mental health via awareness, which New Zealand is currently lacking.
The first task we underwent was delving into online public data to understand how the people of New Zealand are feeling, and which region they live in. Problems were immediately uncovered. Finding specific data is never easy, but we were trying to find data that was both sensitive, and in some cases private; Or worse, non-existent.
The data we did find, was broken, fractured, and led to horrifying revelation.
Our real problem was the lack of data, therefore our solution wasn’t to raise awareness of mental health but to raise awareness of the lack of data surrounding it.
You can’t promote something you can’t understand.
The data that we did find was reprocessed multiple times to filter out information that wasn't needed and converted in to formats that can be used in graphs and general stat tables.
|
| Project 711 |
Team 711 |
Taradale |
3 |
|
Our team made an effort of making a prototype of a parking app which we named as "PARK SAVE" where we can see the location where ever the parking slots are available and also we have some features like loyalty points where we will give our customers free parking after every 9th time. Moreover, it will save time for any user beforehand. Everything can be done at one place hassle-free and easy. This app will also give you alerts and the user can get email notification of their parking slip and even there will be a review page for the users. On the other hand, it can be helpful for the Councils where they can collab with this app and look through the visualisation that which place is being used the most and which not so they can make some decisions according to that. This prototype is not fully ready but still, we can download the app using QR Code and we made this app using some online tools. Our team managed to get the data from data.govt.nz where we took the parking data of Auckland one of the busiest places in New Zealand.
|
| Project 795 |
Team 795 |
Hobart |
2 |
1 |
Apk download:
https://drive.google.com/file/d/1FW2OGWtNOOALPkWR3JYParg6gRMnPHkV/view?usp=sharing |
| Project 812 |
ComputerRice |
Brisbane |
2 |
3 |
The vision of the product is to help Australia providing more opportunity for employment and jobs. Our team decided to build a website which fetches the data from the government database. Therefore, users can know the suburb whether it is a great opportunity to build a startup or job. Create a website to provide different categories of data for the users |
| Project 835 |
Team 835 |
Brisbane |
2 |
2 |
The objective of the “The ATO Occupation Search” project is to optimise occupational decisions of individuals through providing interactive capability to drill/filter down from broad career categories of interest down into more specific careers; and creatively illustrate valuable data around income, potential salary growth and proportion of the working population in selected careers.
The platform helps individuals to specific occupations within their area of interest provide useful data around salary’s, taxable income, skill level required and salary growth (a proxy indicator for the future demand or supply of an occupation) to enable better decisioning making around career selection.
Project Output:
https://public.tableau.com/profile/luke.ginn4421#!/vizhome/ATOforIndividuals/JobGrowthandEarningsCalculator-OpeningPage
Considering a career change? Or curious about what career you want in future? Check out our Project - “The ATO Occupation Search” that will help filter down careers that you might be interested in and provide valuable and interactive data around salary and potential salary growths for various occupations in the next 5 years. The project utilises data sourced from the ATO (Taxation Statistics) around taxable income, salary and no. of people in different occupations; and data from the Australian Government Labour Market Information Portal around the salary projections and skill levels on different occupations. The two datasets share the same occupation codes and have been reconciled to form a singular data set that is then visualised onto the popular data viz platform Tableau. |
| Project 891 |
Team 891 |
Geraldton |
3 |
3 |
What will Australian cities look like in 2050? A look at a sustainable future outlook.
|
| Project 902 : From Source to Tap, Water Education |
Team AW |
Adelaide |
|
2 |
The purpose of this project is to educate upper and lower primary students about importance of water. It teaches kids what happens when water reaches at home for domestic use. It further explains the each stage of water cycle, treatment plant, catchment area and alternative water resources. Moreover, it explains what happens when water travels from catchment to the treatment plant and how this plant treats water for the drinking and for domestic use. In addition to that, this project not only teaches kids about the water cycle but also teaches them how water is important in our lives. Last but not least, the statistics shows that we must be aware of how much percentage water is salty (97%), only three percent is available as a fresh water and more than half is frozen or in the atmosphere. so, only almost less than one percent is available as a fresh drinking water. As soon as I saw this challenge, I knew that this could be the perfect project for me because in school we are leaning about sustainability. We learned, that everything for future would need to be sustained especially water. The first step for sustainability would be saving water because we don't have a lot of fresh water to survive with, therefore I thought this project can help me by sending a message to everyone about the importance of water. Moreover, this project also tells the aspects of what need to be taught to the kids using apps, website and other visual aids. |
| Project 942 |
Paradigm Shift |
Sydney |
1 |
4 |
Helping Start-ups and New Small Businesses in Australia.
How do we encourage self-employment through greater participation in NEIS for cohorts currently underrepresented? |
| Project Bowtie |
Helen's Angel's |
Sunshine Coast |
7 |
5 |
Our vision is to promote awareness to leaders that the current level of innovation is constrained by out dated philosophies. Our team has portrayed an example where we can either choose to follow he same path or we can take on the learning of other countries and iterate on there ideas for a more efficient solution to current congestion and reliance on current modes of transportation. sometimes the only way is up, therefore we propose that the answer to this problem can be fixed with 'Monorail', furthermore looking toward the future of mass modal transportation.
Tanslink - Bus Routes on the sunshine coast
bureau of statistics - Population data (Census 2011) shows unemployed Vs. employee
TMR - Traffic data Average by hour by day 2018
Sunshine Coast Council - Future planning
Queensland Globe - Main road locations and built up areas |
| Project - Digital Culture |
Team Radio |
Adelaide |
1 |
3 |
We are trying to integrate the daily usage apps to educate people. Apps such as Google maps can be used to tell people interesting facts about the areas they are in We used data from GLAM LAB to analyse interesting facts about SA |
| Project - Future of Public transportation |
Team Radio |
Adelaide |
2 |
4 |
The project aims to improve the entire transportation system by using the Internet of things, face recognition and artificial intelligence. The first part focuses on using such technology to communicate between traffic lights and buses in such a way that they only encounter green lights. The system further can be integrated with cars to reduce traffic congestion and eventually get rid of traffic lights. We studied the data and found that the speed of public transport has been decreasing over the years, the waiting time between two buses is also extremely long. We also found that people do not want to go through the hassle of recharging or having to use MetroCards. We focused on all these problems and tried to come up with a project that would tackle these problems. |
| Project *IIBIT** |
Team *IIBIT** |
Adelaide |
1 |
|
|
| Project Less is MORE |
WhatsHack |
Sydney |
3 |
|
|
| Project MySafeCity |
Disruptors |
Adelaide |
2 |
|
To attract tourist and make the city more livable we need to leverage our surrounding data and create a safe and short pathway for an individual travelling inside the Ballarat city. Based on the data points of previous crime scenes, sad feedback of previous visitors, mySafeCity application will provide the safe pathway and notify users to stay alert when entered inside unsafe area. App will give users an options to select or avoid area such as, places without lighting, crowded places, most live places etc. We used different dataset from city of Ballarat. Data set used to score safe and unsafe zones of different places of the Ballarat are listed below:
right-to-the-night.csv
ballaratpublictoilet.csv
ballaratheritage.csv
ballaratcornorshop.csv
ballaratbikeracks.csv
ballaratdrinkingfountains.csv |
| Project NRG - New Renewable Green |
Team 604 - Hobart Hackerspace |
Hobart |
4 |
4 |
This application will allow informed choice of energy supplies to your home in Tasmania. |
| Project Splash! |
Green. |
Canberra |
5 |
8 |
# Splash! by Green.
With continual population growth and the escalating impacts of climate change, water will become an even more scarce and precious resource than it is today. Safeguarding Australia's limited water supply will require all Australians to understand water's essential role in our environment and society; and how to limit wastage through efficient water usage.
The Year 7 Australian Geography Curriculum includes a mandatory unit of study “Water in the World”. Water in the World focuses on the ways water is perceived, classified and valued, how it moves through the natural environment, its scarcity and that human actions can directly impact the environment.
We have created Splash! an app targeted at Year 7 students to support the Water in World unit of study and to engage and educate students on their personal impact on the environment and Australia’s water supply, as well as to help them use water more efficiently and intentionally.
Splash! contains a number of features to achieve this goal. Students can undertake challenges to understand and directly reduce their water usage, as well as earn streaks for making habitual changes. The app allows students to take quizzes to test their knowledge, and supports them to learn more about how water can be used more efficiently, the sources of water in Australia, and how water gets to their taps.
By not only educating, but engaging and exciting students about water efficiency and sustainability, Splash! will help students and their families make more efficient and responsible water decisions that will leave Australia with enough water for a better, brighter future. Using data on Australia's existing water storage levels, predicted population and average usage data Splash! forms a view on what the future of water in Australia will look like if the growing population continues to use water at the historical average levels. By creating a visualisation of a future city, Splash! then allows students to understand how they have a direct impact on Australia's water future, whether their current level of usage is sustainable in the future and how our water stores will be affected by population growth.
Splash! also draws data from the Australian Curriculum unit "Water in the World", as well as Australia Government information to educate students on how to be more efficient in their usage of water, to understand the role of water in Australian society and geography, and to understand where their water comes from. By connecting the outcomes of challenges and quizzes to the visualisation of the future city, the app helps students to understand the direct impact their actions will have on the Australian environment and water supply, with the city becoming greener and more sustainable as they gradually improve their water efficiency. It also visualises the processes of the water cycle to help students understand water as a continuous resource.
Splash! can also use the student's location in Australia to provide real information about where their water comes from, the journey it takes to reach their taps, and how their home fits into the ecosystem of water flows in Australia. It does so by drawing on storage, catchment and flow data - both in the natural world and through water infrastructure. Using the student's location, the app can also provide the student with detailed information about the water stores linked to their home, including its current levels and temperatures. |
| Project - Victoria Soils |
Team Radio |
Adelaide |
1 |
2 |
This is a project about giving information to farmers in Victoria, at what soil they are growing crops and what soils are nearby them, secondly, which are bush fire-prone areas near them. So they can plan their investment. For these, we have created an app which shows what type of soil they have nearby and we will show what crops can be grown on them so they can plan their investment accordingly, another feature is to inform farmers about bush-fire prone area around them, so if they want to take some precautions they take it on time. We have used two datasets generated by australia government which clearly shows what crops are grown on what type of soil, what crop gets you more revenue and which are bush fire areas nearby that can affect their crop. And what causes bush fire and amount of destruction it has caused in past few years. |
| Project X |
BRKLYN Partners |
Adelaide |
4 |
4 |
We have developed a solution that comprises data from different sources like TERN, IMOS, City of Darwin and Victoria. All of our datasets are listed in our Github Repository |
| Public Transport 2029 |
Braveness💪 |
Canberra |
3 |
6 |
Although Canberra has launched its new public transport system not long ago, there seem to exist a gap between the new system’s real performance and passengers’ expectations. The ACT government has been swamped with passengers’ complaints including driver shortage, unpunctuality, late announcement of malfunction, missing bus stop alert, traffic congestion, etc. These existing problems not only degrade the travel experience of passengers but also pose a challenge to government transport administration. After the analysis of open data of ACT transport, we concluded that the underlying reason of this negative phenomenon is inefficient communication between passengers and transport operators, hence, in the short run, an app named EasyWay with a set of integrated functions is devised to streamline the entire transport service from departure to arrival while in the long run, we recommend to introduce self-driving electric vehicles to fulfill sustainability.
There are 3 entries for 2 kinds of users: passengers, authorized officers. For passengers, functions are displayed as follows
daily announcement of
recommendation for personalized route
estimate expense of travel price and travel time
real time bus/light rail tracker
anonymous comment towards the degree of safety, punctuality and crowdedness after trip is finalized
link to credit/debit card
display bar code to pay for the trip
For authorized officers, functions are displayed as follows
age of the buses in operation → guide maintenance service
incident rate → guide driver management
visualization of passengers’ real-time feedback → guide flexible route rearrangement
Data related public transport from Open Data Portal dataACT that used, table names and link addresses are below.
Passenger Journeys By Week By Ticket Type retrieved from https://www.data.act.gov.au/Transport/Passenger-Journeys-By-Week-By-Ticket-Type/jia3-rxue
On Time Running By Week - First Stop Only retrieved from https://www.data.act.gov.au/Transport/On-Time-Running-By-Week-First-Stop-Only/diwx-p2be
Budget 2017-2018 - by category table retrieved from https://www.data.act.gov.au/Government-and-Transparency/Budget-2017-2018-by-category-table/dxuq-hc4u
Budget 2018-2019 - by category table retrieved from https://www.data.act.gov.au/Government-and-Transparency/Budget-2018-2019-by-category-table/dkp7-zmia
Budget 2019-2020 - by category table retrieved from https://www.data.act.gov.au/Government-and-Transparency/Budget-2019-2020-by-category-table/gtu5-8j7s
ACT Population Projections retrieved from https://www.data.act.gov.au/People-and-Society/ACT-Population-Projections/y438-27ka
Cleaning all data prepared and import these formalized data into models, which created in the Modeler to form diagrams.
Data Preprocessing
Using Excel to make data cleaning. Combine budget from recent years, list the sum number as an attribute. When data comes from week by week, choose the first week and the last one or choose the last one.
Data Analyzing and Result
Create a model in SPSS Modeler to display data by several clear diagrams. |
| Quality Air |
Haxolotl |
Sunshine Coast |
10 |
4 |
1 in 9 Australians suffer from chronic respiratory diseases, a group of conditions that have a wide range of triggers, including dust, pollutants, temperature, humidity and pressure. We wanted to design a tool for the community, but specifically targeting those with respiratory illnesses, that could help them navigate both living and travelling to other areas. Our solution is geared towards QLD but has the capacity to be expanded to other states and territories.
Our solution is a website called Quality Air, providing historical air quality information and live hourly updates for different regions of QLD. We have a home page with statistics concerning chronic respiratory conditions in Australia and serves to highlight the importance of why we created this website. It also shows our team, and a detailed explanation of the PM10 and PM2.5 air quality variables that we are focusing on and why they are a problem for those with respiratory illnesses.
We have analysed data and statistics for South Brisbane (a metro area) and Hopeland (a remote regional area). Each page has a satellite image sourced from Google maps, along with a description and statistics from the ABS regarding areas that affect air quality data, such as population density and the number of motor vehicles. We implemented a widget that updates the current weather forecast and other information. Monthly averages for variables that can affect air quality for those with chronic respiratory illness are included and sourced from the Bureau of Meteorology. Ideally, these variables would update each month. The PM10 and PM2.5 data for the month of June 2019 have been graphed to show the changes and fluctuations, with the averages listed and their corresponding rating from the Environmental Protection Authority. We also implemented an API which updates various air quality data including carbon monoxide, nitrogen dioxide, particle PM10 and PM2.5 values every hour in real-time.
We would like the capacity to have individuals who use this tool to create a profile. This would enable them to add their conditions. We are particularly focused on asthma and COPD (from AIHW data), but we could expand this to other illnesses such as inflammatory lung disease, bronchitis and upper respiratory infections. We have listed triggers specifically relating to environmental factors and air quality, and what PM these would fall into. It enables individuals to track variables that are relevant to them. Links to Institute of Health and government websites provide more information for individuals who use our website.
Those indicators can provide information on various places in Queensland and can help when planning to travel. Using historical air quality data in both regional and metro areas, individuals can plan their travel appropriately and medical action plans from GP’s can be tailored with a higher level of detail to individuals with more severe forms of respiratory illness. Our website helps could also help all users make informed decisions on visiting or moving to areas and could encourage migration to regional areas with less pollution.
The website presents a correlation between poor air quality and urbanisation, as well as the effect that dense populations have had on the environment. Our prototype website features example pages to compare data for a rural and an urban area – Hopeland and South Brisbane respectively, however we planned to expand the website to include all locations featured in the Queensland Government air quality API. We also planned to add customisable profiles and tailored recommendations to all pages, as well as take live data from BOM’s databases. The month-long graphs take data from the historical Queensland Government air quality recordings, and eventually we hope to automatically generate these graphs every day covering the last 30 days.
*The purpose of the Quality Air website is to simplify complicated data, displaying specific values and making them more readable and accessible to the community. Having a tool like Quality Air to provide historical air quality data and live hourly updates would be invaluable for those with severe chronic respiratory conditions. It could assist in the management of respiratory illness and prevent hospitalisations.*
We compared Queensland Government air quality data from urban and rural areas over a one month period in order to emphasise the improved air quality in regional areas. Anomalous events such as bush fires and dust storms can skew data on PM10 and PM2.5 levels, so we limited our analysis to a one-month period to avoid anomalies. The rural areas particle levels were one third of the urban areas.
Our vision for the finished Quality Air website would automatically update the charts on particle levels daily, alongside more charts for all available air quality data. Real-time air quality data was taken from the Queensland Government's API. We included averages from the Bureau of Meteorology's weather data
1. Data from BOM, data.qld.gov.au, ABS, census data and climate were looked into, including carbon monoxide, nitrogen dioxide, ozone and particulates
2. Air quality monitoring data from the first 6-months of 2019 was selected. PM10 and PM2.5 were chosen to analyse.
3. Graphs from June 2019 for South Brisbane (metro) and Hopeland (regional) were created and important values calculated
4. Historical data for each place was researched
5. Website was created using Google Sites
6. Live air quality monitoring XML was coded and embedded into our website
|
| QWild |
Big Sunday |
Brisbane |
6 |
|
##
### Team Members
🐨 Aaron Charlton | Team Captain, Web Developer
🦘 Ivan von Christ | UX/UI Designer
🦇 Genevieve Carter | Web Developer
### Project Description
Wildlife across Queensland and Australia are faced with numerous threats, both environmental and man-made. It is a harsh reality that if action is not taken, we risk some species becoming threatened or extinct. Queensland is known for its variety of wildlife. With temperatures increasing and 60% of Queensland in drought, local wildlife volunteer groups come under strain, especially when some calls could be avoided if people had the right information. QWild aims to educate people on local wildlife in their area, help residents connect with their local environment and provide care instructions & contact numbers if they come across an injured animal.
### Explanation of QWild - What does it do?
* Users can explore the map to view the locations of wildlife, as well as search using the search functionality to query the QLD Wildlife Data API and return results specific to the user's interests i.e. Search for wallabies, or snakes. When QWild home page loads initially, koalas are displayed using a custom koala icon.
* QWild also supports an AR (augmented reality) experience, allowing users to scan QWild Card markers found in local parks and nature reserves. Upon scanning the card, a 3D model of a local animal and information card will appear on the user's phone. We feel that this would be a great way to educate younger audiences about the importance of protecting local wildlife and the environment they live in. By 2050 it is anticipated that VR and AR will be commonly used as a method of education. By utilising AR within QWild, we can effectively engage younger generations. This is highly important, as it will be these generations who are responsible for protecting the environment into the future.
* Users can learn about Indigenous words for local animals using the translator tool on the homepage.
* The Wildlife Sighting Report form can be used to feed data and information back to local councils and the government to assist in maintaining accurate records.
* Information is provided about the care of injured animals people may come across, to provide education and ensure that residents help only when it is safe to do so, as well as have easy access to relevant contact details. QWild also aims to ensure that users are educated and do not interfere with wildlife unnecessarily. As a result, local volunteer wildlife organisations will only need to assist where needed.
QWild will encourage residents to learn more about the world around them and the species of wildlife that they share their backyards with, creating a greater sense of understanding and empathy.
By providing an interactive experience, it will help foster appreciation for long term protection and conservation of the environment, both now and into the future.
### Features
* Interactive Wildlife Map
* Wildlife search functionality
* Augmented Reality (AR) prototype
* Injured animal FAQ
* Indigenous animal name translator
* Animal Sighting Report form
### Augmented Reality Demo!
To test out the AR demo, follow the below instructions:
* Visit [this link](https://ivanvonchrist.github.io/ar-demo) on your phone
* For best results, ensure there is no glare on your computer screen
* Point your phone at the below marker of the QWild logo
* A demo AR model should appear!
### Challenges Nominated
* Queensland OpenAPI (National)
* Thrive or survive: how can we adapt for the future? (National)
* Optimise energy and water resource planning (National)
* Environment and Science Data (Regional: Queensland)
* Indigenous Languages (Regional: Queensland)
* The best use of Gold Coast Data (Regional: Queensland)
.
.
. ###Data Used
* [City of Gold Coast - Fauna](http://data-goldcoast.opendata.arcgis.com/datasets/03919217b4824ecabb7b5828532f86d1_0)
* [Queensland Government Open Data - SLQ Indigenous Languages Word Lists, Brisbane Animal Words](https://www.data.qld.gov.au/dataset/slq-aboriginal-languages-word-lists/resource/ebd00c34-d5d1-4266-8f6b-d9424104a307)
* [Queensland Government Open Data - WildNet Koala Locations](https://www.data.qld.gov.au/dataset/wildnet-koala-locations)
* [Queensland Government Open Data - QLD Wildlife Data API](https://www.data.qld.gov.au/dataset/qld-wildlife-data-api)
###City of Gold Coast - Fauna
The City of Gold Coast - Fauna data provides a baseline for our interactive map. By visualising this geojson data Queenslanders can begin to understand and connect with the local fauna in their environment. The Gold Coast region has diverse local fauna, which is a perfect starting point for our project.
###Queensland Government Open Data - SLQ Indigenous Languages Word Lists
The Queensland Government's Indigenous language dataset for names of Brisbane animals has bee utilised to assist in preserving Aboriginal languages and help connect residents with the original owners of the land. This dataset has been utilised within the homepage of QWild and allows users to toggle between languages of the Yugara, Yugarabul, Yugambeh and Turubul people. The relevant Indigenous names of common Brisbane animals appear below the image of the animal. In the future further information about Indigenous people and their relationship to wildlife could be added to enrich the QWild experience.
###Queensland Government Open Data - WildNet Koala Locations
It’s hard to say exactly how many koalas are still remaining (estimates lie around 80,000), but they are highly vulnerable to threats including deforestation, disease and the effects of climate change. We have used the WildNet Koala locations dataset to plot locations of koala sightings on an interactive map. Not only will this educate Queensland residents about koala habitats, but this also acts as a visualisation tool to understand which areas require a focus on conversation of the environment and protection from natural threats such as bushfires.
###Queensland Government Open Data - QLD Wildlife Data API
The WildLife Data API (or QLD WildNet) provides an extensive API for wildlife in Queensland. We have used this data to allow Queenslanders to search for information and locations that animals have been surveyed. This rich information also allows users to understand which animals are endemic or are considered a pest. We used this API in conjunction with the Gold Coast Fauna API to retrieve additional information in realtime regarding fauna. |
| Rain Drop |
Drop Top |
Brisbane |
6 |
1 |
We believe that our challenge Water – From Source to tap: is effectively met through the use of the interactive game that has been created. The game showcases the water cycle and how the water is being transformed through each phase. Throughout the game there will be learning milestones in which the game will incorporate statistics of rainfall over a set of years and produce a game with that presents how the weather cycle does change yearly.
The game also aims to teach the Upper Primary and Lower Secondary students to not waste water and that we should do everything in our power to save water. The game will also have prompts that the user can click in order to learn more about what happens at each part of the process.
For example:
Hovering over the pipe, will present data indicating per year how much water is wasted in a house per year.
Hovering over the cloud, will present the average rainfall per year.
Hovering over the dam, will present data indicating the average amount of water held by all the dams in Australia.
Hovering over the evaporation will present the user with data informing them about evaporation levels and how water is transformed from the ocean to clouds. |
| Rainfall Splashing in Puddles |
Ballarat Hackers |
Ballarat |
5 |
2 |
Here is the Ballarat Hacker's 2019 GovHack entry titled "Rain Splashing in Puddles".
In this board game, we first start by moving around the board by rolling dice.
As we go through the game, we collect rainfall in our reservoir, while being careful not to use too much rain and running out. We also start building components of the "water cycle", which is an element containing 5 components - a treatment facility, a house, the ocean, a cloud and a hill that collects water into the reservoir.
Once all five components are built, the race is on! Whoever gets to the corner of the board first, and has more than 80Gl of water in their reservoir, wins!
Our four person family team includes Robert (Dad), Alisha (Mum), Daniel (8yrs) and Craig (5yrs). Data informs our story by giving realistic values to the game. We used rainfall data from across the country and reservoir capacity data to get actual values for our game cards and rainfall pattern data. (We then applied some artistic licence to round the values out to make the game easier to play.)
We also read reports to find out ways that water is used, ways it can be saved, and other factors that impact on the water cycle. |
| Redirect |
Pied Piper |
Sydney |
4 |
5 |
## Project
Sydney is an amazing city, extremely diverse, business focused and driven. But as with most big cities, congestion of traffic (public and drivers) is a large problem and often a complaint of many locals. Enter Redirect.
Redirect aims to be a platform to model, simulate and plan better cities by modelling road traffic.
While we are not road modelling experts, we enable the people with the right domain knowledge on our platform to model the effects of adding / removing features within a city’s transport network such as reducing the amount of traffic through bottleneck roads and diverting it elsewhere, adding parking spaces that are cheaper near less congested roads as an incentive.
In the future we can incorporate other features such as road speed limits and tolls with the ability to accept a "citizen" AI model as a parameter for analyzing traffic diversion behaviour. We can also leverage public transport APIs to estimate the impact of a new transit station / more vehicles in a particular area.
We do this by querying many APIS. We elaborate on this more in the data story section.
## Technologies used
- HTML/CSS, javascript
- React.js, node.js
- Google Maps, Places, Directions, Traffic APIs
- NSW transport APIs
- Python We built a frontend in react.js and a backend in node.js.
The basemap for our frontend is the Google Maps Traffic layer.
Typing in an address queries the Google Places API.
With the start and destination places we query the Google Directions API to get the suggested route. We also query near by locations using Google Places Nearby queries and drive routes from the start to the destination via these nearby places to check the route is less congested.
We use open data parking geojson[1] and nsw geojson[2] to map out features. 2019 congestion audit data as part of our investigation and heuristics [3, 4]. The NSW transport road count API for recent data.
[1] https://opendata.transport.nsw.gov.au/dataset/street-parking
[2] https://data.gov.au/dataset/ds-dga-91e70237-d9d1-4719-a82f-e71b811154c6/details
[3] https://data.gov.au/dataset/ds-dga-d42b84fb-9f07-400e-af7e-133389ddeccb/details
[4] https://data.gov.au/dataset/ds-dga-bcdaedcc-c208-480b-97ca-805a62c65316/details
[5] https://opendata.transport.nsw.gov.au/node/2171/exploreapi#!/default/get_spatial
|
| Regional SA - Opportunites and Tourism |
The Hive |
Adelaide |
2 |
4 |
SA regional areas have got wide variety of opportunities to choose from and has a very good lifestyle as well with all health benefits, schools, community centres, etc., to come and settle down in one of the regional areas. Now you can choose and settle in beautiful regional SA that matches best to your skill set, or to establish an industry or farm of your own.
This project highlights about regional SA with respect to the opportunities, tourism, and many more that SA has got to offer. Specifically, we focused on population, facilities (schools, community centres, health facilities), job opportunities, industries/farmlands availability etc., One who know the advantages of moving to the regional SA will not think twice which will be the aim of this project.
Details like SA regional details, tourism, imports.exports data and combined data with few other data sets to get more clear information on overall south Australia's population with respect to availability of skilled population, health care and household expenditure, employment details, jobs by region, level of schooling to get a better picture of overall data set. Thus, we suggested which areas are better with respect to the industry or farming land or to decide based on the available options |
| Remote Beat |
Dharray dharray |
Darwin |
1 |
3 |
To provide health translation services for remote NT communities using telehealth and remote monitoring technologies to ensure medication adherence and rehab is adhered to by patients.
|
| Revealing Data |
Spatial_Specs |
Darwin |
3 |
9 |
We believe citizens can make more informed choices and decisions when they can augment their ideas and opinions with empirical data. The data is there but locked away in arcane inaccessible databases. Our projects makes visual interfaces for this data and demonstrates how it valuable in 3 separate examples
The first is articulating preventable hospital admissions,
The second is engaging the community for feedback on e-monbility locations
and the third is citizen science weather stations that engage and bring the community together both physically rhough workshops but digitally through the networking of the telemetric modules We have used a variety of datasets
NTG health dataset showing preventable hospital admissions was downloaded into google sheets and the NT data isolated, when then created a separate sheet with the northern Territory's 6 geographic regions with their latitude and longtitude. When used a new microsoft product POWER BI to build an interactive web based data interrogation tool
For the 2 other City of Darwin challenges we used a variety ofkml datasets showing aspects of the city so citizens better understand their environment in which they live. We build a google map which has a toggle menu allowing different layers to be turned on and off.
We believe it is important to have all the data available on one page to make it accessible |
| Ripple Effect |
Ripple Effect |
Melbourne |
9 |
6 |
It’s not only about shorter showers.
How do the decisions we make every day influence water supply and distribution?
We have created a native iOS Mobile App to play an interactive story of an everyday encounter, where you have to make simple choices that lead to different outcomes (a lush forest or dried out crops). At the end of the story, we show users how simple choices that you wouldn't associate with water, affect the supply and distribution of water.
Our vision was to create an engaging way to learn about the consequences of our actions in relation to water and creating a more informed population that can take responsibility and create sustainable policy.
Our iOS native mobile app is our final product, but we also created a Web experience (in progress). Our overarching vision for the product is to create a learning experience that can be accessed via school computers, paired with the mobile app for the general public. We used a combination of water and agricultural data to tell a story about water, beyond that which we can see. Whilst there is a clear message during periods of drought that people should have shorter showers and avoid gardening, the story about how water is used throughout the supply chain is untold.
|
| Rise and Smile |
Rise and Smile |
Brisbane |
2 |
|
Rise and Smile is community wellbeing initiative. It is enabled by digital technology innovation that assists in encouraging people to get outdoors and experience beautiful Sunrise. It proposes a online Sunrise locator tool that anyone can use it to plan morning outdoors. The project is based on the scientific evidence of physical as well as mental health benefits of watching outdoor Sunrise. The initiative combines picturesque Sunrise and digital media content such as unique Sunrise photos. https://www.ga.gov.au/geodesy/astro/sunrise.jsp |
| RUBeingServed |
Transparency Ninjas |
Taradale |
7 |
6 |
The project is provides insights of officials attendance of meetings in different organizations. An organization can be regional council, district health board, etc.
Additionally it provides a way of visualising and analysing meeting minutes to get an overview of what has been discussed and how this changes over time. Meeting schedules and minutes for 2019 were scraped to produce tables of meetings and councillor attendances. The meeting text was also analysed to produce word counts for a set of meetings.
The attendance information was visualised for each organisation, and the word counts turned into word clouds and used for trend analysis of words found in the minutes over time.
Mapping layers from stats have been used to provide the initial landing page and navigation, and councillor photos are used in the attendance visualisation. |
| Safe Spaces |
Safe Space |
Whanganui |
1 |
4 |
An app to find a safe place to relax. Sometimes when out in the town things can get a bit out of control and you need to take break to just relax and collect your thoughts. This app will help you find a safe place to do that. Places include drop in centers, libraries, polytech/university campuses and other nominated places.
These places have a review system so people can give feedback on how they felt about the space. An app to find a safe place to relax. Sometimes when out in the town things can get a bit out of control and you need to take break to just relax and collect your thoughts. This app will help you find a safe place to do that. Places include drop in centers, libraries, polytech/university campuses and other nominated places.
These places have a review system so people can give feedback on how they felt about the space. |
| SAritage |
Team SAritage |
Adelaide |
5 |
3 |
The SAritage app focuses on providing an interactive and intuitive way of displaying the artefacts and exhibits at South Australian museums and art galleries by using Virtual Reality. It also fosters community engagement by providing the people of the community an opportunity to contribute to these institutions of historical treasure. Observing the visual and photographic datasets from the four institutions and comparing them with the exhibits currently being displayed, we found out that most of the exhibits are not accessible to the public who visits the museum since the existing artefacts displayed are not often rotated with the ones not displayed. The institutes hence need a way to portray all their collections digitally. |
| SaveWaterGo!! |
H&R |
Sydney |
2 |
2 |
Our Project --- SaveWaterGo!!
Here in Australia, according to the data from Bureau of Meteorology- Australia Government, we understand the fact that the 2019-19 financial year was drier than the average over in most part of Australia.
On the other hand, according to the data from Australia Bureau of Statistics, Australia has about 24.5 million people in 2017, and increased to 25 million people in 2018, that means a million people will be added to population with every 2-3 years.
With lower rainfall supply and higher population growth, help Aussie aware of saving water has a great importance for future development.
Informed by those data, our team created this “counting water usage” sensor, the theory of is sensor is:
1. people can apply for these free water sensor;
2. every-time when sensor-holder use the tap water in public toilet, for example in school or shopping mall, they tap on the card to wash the hand; when they finish using, tap off the card;
3. then our sensor system will show how many seconds this person use the water, if the time is within the reasonable time range, here in the prototype, we set the reasonable time is 10s as an example;
4. if the using water time is close to the 10s, the sensor holder can get equivalent points; if the time is much higher than 10s or much lower than 10s (considering the hygiene issues), the holder will have negative points;
5. in the users' app (can be counted as homepage), the points can be used to redeem goods, such as a discount for coffee or even Pokemon in the app;
We hope the benefits of these points can help people try their best to save water when washing the hands.
Our Team logo
H&R which stands for two team members: Henry & Ruby
Our Project logo
word "SaveWaterGo!! " with a tap dripping water shows that we need to save water when using the tap water
1. Bureau of Meteorology- Australia Government
http://www.bom.gov.au/climate/updates/articles/a034.shtml
2. Australia Bureau of Statistics
https://www.abs.gov.au/AUSSTATS/abs@.nsf/mf/3101.0
|
| SchoolBud |
Vanquishers |
Adelaide |
1 |
7 |
Our project "SchoolBud", a chatbot made using Dialogflow, solves the given problem by the Education and Training department of the Government of Victoria state.
Our chatbot allows parents to easily look up schools for their ward and answers all their queries about the overwhelming enrolment process while relieving the intake pressure faced by the schools in Victoria. We have focused our project around the Smith's family, who live in Bairnsdale, Victoria 3875.
They are family of four, who have recently moved to Bairnsdale and are exploring options to get their kids enroled in good neighborhood school.
They are considering Lindenow Primary school, which lies in their zone , also Briaglong Primary school and Bairnsdale Primary school, these two lie outside their zone.
They need help in deciding the school, for which they want to know the policies associated with the enrolment process.And they are having a hard time figuring out the policies because the ones mentioned on education.vic.gov.au are very elaborate and difficult to comprehend.
|
| Schools In the Hood |
The Hoodies |
Melbourne |
1 |
3 |
Parents *worry* about whether their kid will get into the right school, making sure they understand the application process and not missing deadlines. School principals and staff *worry* about having too few enrolments (and perhaps having to lay off staff) or being over-subscribed and having to expend significant resources dealing with anxious parents who miss out.
The Victoria Government now has an excellent website - https://www.findmyschool.vic.gov.au/ - that provides clear guidance on whether a child is elgible to attend a school, the criteria that underpins that decision and the appeal process. The centrepiece is a form where parents type in their address and can see the primary, secondary or special school in their designated neighbourhood.
However, the website doesn't resolve the issues of parents 'school shopping', the desire to find the 'best' school (say based on schools' Naplan or ATAR rankings which various websites and media are happy to offer) rather than accept that the local school is where their child should attend.
We believe that to overcome this 'ranking' focus, schools need to deepen their relationship with parents and influencers (the wider community) in their zone ideally well before the parents are at the stage of choosing a school. We want parents to really bond with their school, and that the designated school become the school of choice.
We believe data has a role to play. Schools that have good intelligence on their catchment area can **own the zone**. Knowing the population, number of kids, religious institutions, volunteer groups and so on can help the schools engage with that zone.
Unfortunately, although there is a wealth of data out there, the sample area is never the school zone. With school zones crossing postcodes and suburbs, data at this level is very inaccurate, even if schools could easily find it.
Our solution, **Schools in the hood**, will provide lots of data groups, filtered by relevant school zone. All this happens in the back end using our own api. The school can access the data on a website tailored to their school. The website will have other functionality as well.
The data at https://discover.data.vic.gov.au/dataset/victorian-government-school-zones-2020 is the most critical resource. We also use ABS meshblock data and SA1 data which we use as building blocks to replicate the shape of the schools zones as closely as possible. Once we have these 'aggregate masks', we can **zonify** any data from data.gov.au or other database that is in meshblock or SA1 form. Note we weren't able to solve 'zonify transformation' work during the hack, but have no doubt it is a relatively straightforward 'spatial joins' job for a professional data scientist. |
| Scoot over |
Four21 |
Darwin |
6 |
8 |
Scoot over is an app that can be used by both locals and visitors to get around the Darwin CBD and surroundings. It has a list of points of interest and will design a route based on imported weather conditions from the IoT sensors. There are safety reminders about using the scooter and avoids the harsh sun at daytime to reduce exposure. By using scooters, traffic conditions are eased, people are more active. People are rewarded for this by getting discounts at nearby businesses to help them bring in customers.
https://xd.adobe.com/view/f61f5fcc-2a73-4ed2-7220-75f71db5a110-802e/ We used data from IoT stations, heat maps and popular destinations around Darwin to determine suitable locations for scooter bay locations. |
| Small Biz Toolkit |
FruChocsX |
Adelaide |
5 |
8 |
Help small businesses understand the the benefits and negatives of starting up a new location without needing to research through endless datasets, but instead, look at data visualised. |
| Small business solutions |
Business Complete | Analytics Lab |
Sydney |
7 |
7 |
Business Complete | Analytics Lab uses Australian government data to provide insights for users to make impactful decisions before starting a business. It also helps existing business owners to assess and evaluate their business location and to align their strategy with the trends of their surrounding. Business Complete | Analytics Lab uses a big data approach to extract knowledge from available government data silos including structured data and unstructured data including population, income, industry, buildings, transport and mapping data. The team draws on peer-reviewed scientific research findings to benchmark identified traits and trends in the data using clustering analysis and also using regressional models on the existing data to predict future outcomes. |
| SmartMaps |
BeFrank |
Canberra |
5 |
2 |
Our solution comes in two parts: a React frontend application for displaying map visualisations, and a backend Python API service for data retrieval and developers.
Given a mode of transport, our app provides you with human centric data about possible routes between your location and another. In particular, it measures the urban heat and greenery coverage and provides a selection of the best routes. Empowering you to make informed pathing decisions.
The datasets Urban Heat & Green Cover dataset(s) from the SEED portal provide heat deviation and amount of green cover. Combining this georeferenced data with Google Maps APIs, we integrated routing information to quantify the amount of heat deviation and vegetation cover that can be experienced along a route.
Displaying the metrics for a route and also providing a rich visualisation and interactive display options for the data can help provide members of the public with a better understanding and options of possible routes.
Since our solution makes it very easy for integration with other arbitrary datasets with geographic position information, other open datasets — such as the Canberra’s street light location dataset — can be included to provide further options for route customisation. For example, this data could be used for determining a well lit route for commuting safety at night.
The API enables quick and easy querying of the joined Government and Maps datasets. Further, the queries made by users can be anonymised and stored by the backend. This provides a live feed of locations in the city that are in need of attention.
To provide routing information, we used the Google Maps API to first geocode the user specified origin and destination locations into geographic coordinates which we could then integrate with the Graphhopper service to provide possible routes. This allows us to still optimise for distance and duration, while taking heat and green cover as additional heuristics.
To retrieve data for the expected temperature deviation and green cover, we integrated with the ArcGIS MapServer REST API. Using a list of geographic coordinates along the route, we query the GIS dataset to retrieve temperature and green cover data. In particular, we used the following fields:
- Mean Urban Heat Index temperature deviation from vegetated areas
- Percentage of green cover on a block area
- Ratio of green cover to block area
in addition to geographical data about the area the data applies to.
Once we have retrieved the data, this is aggregated for each route alternative, and metrics such as the average is calculated.
|
| Smart Parking Management System using Deep Learning |
After Realism |
Canberra |
3 |
1 |
Have you ever found yourself driving around looking for a parking spot? And by the time you find one, it’s far away from where you need to be, and you’re already running late? This is a problem many of us face every day, and it costs individuals, businesses and the economy millions of dollars. According to academic literature, the average commuter spends at least 30 minutes per day trying to find a parking spot. Many have tried and failed to solve this problem before, however they are often restricted by high infrastructure costs. That is where our solution differs.
<p> - Using AI/ML and IoT (surveillance/traffic cameras) we will build an application which shows customers which parking spaces are free, and allows them to book and pay through the application for a specific parking spot. This will save the average ANU student 45 minutes per day in time, stress (very stressful experience trying to find a park) and money (reduced number of parking fines).
- Our trained neural net has a prediction accuracy of 95% on average across all weather conditions (rain, wind, overcast etc.) Based on a dataset of 695,000 images.
</p>
<p> |
| Social Inclusion Platform |
Social Hero |
Sydney |
6 |
6 |
Our hack provides the social entrepreneur the tools to take their idea to concept, helping them with contextual data to understand demand, validate their ideas against market conditions, help connect them with the support and infrastructure they require and providing the quantitative and qualitative data to continually measure their outcomes. We explored and extracted data from NSW employment figures, NEIS program, NDIS demand demographics, youth detention figures in NSW, land use and business activities in Melbourne CBD and ATO small business benchmark to power the ML algorithm to measure a potential social impact start-up in 4 different aspects in a given local suburb. The aspects are its projected social impact, business competitiveness, potential success rate, typical revenue and demand demographics. |
| Soft plastic to parthways |
Waste waste |
Whanganui |
1 |
1 |
This is a project to cost effectively use the hard to recycle soft plastic waste to prevent it from ending up in landfills and giving it a second life as pavers and edging blocks.
If the government was to spend to improve the range of recyclable of Non-Recyclable Product Waste this would be one solution. The concept is to take the soft plastic that is often contaminated with food or dirt which makes the recycling of this material very costly. Using this plastic as a binding agent means no cleaning is needed. The plastic heated and mixed with sand, wood chips or other material and then compressed into pavers or edging blocks for pathways. Pretty much like concrete blocks. |
| Solving employment issues with data |
Weekend Hackers |
Sydney |
3 |
5 |
We have focused on helping regional communities fill employment opportunities by making open source data available in a user friendly format. This enables underemployed and unemployed people access to the information that they need to make informed decisions regarding their future employment. Our teams project was born from our inexperience and inefficiency with data gathering and preparation. From this experience, we envisioned a more friendly way for government data to be utilised by everyday individuals to make decisions that will benefit society by standardising and centralising data to allow Machine Learning Algorithms to perform data augmentation on a more detailed and human level, and enable augmented analytics.
We cross referenced data from the ATO, ABS and the LMIP datasets to project future growth opportunities for for individual industries, regions and wage growth.
|
| Solving QLD's Droughts |
Droughts 'R' Us |
Brisbane |
8 |
3 |
Australia. In three words: beautiful, stunning, breathtaking. But, in a country so beautiful, it’s easy to forget. Forget that it isn’t so beautiful and easy everywhere in the nation. Forget those less fortunate. Less lucky.
60% of Queensland is in drought. Something as simple, and seemingly ‘plentiful’, as water has such a significant effect on a state. Farmers in particular are constrained and feel there is no way out. They feel there is no support for them and their situation.
Here at Droughts ‘R’ Us we want to help them. Together, we’ve been working to find a solution to this crisis.
Through the use of GovHack’s Dataset Open Portals, we’ve created a platform which is designed to pull and utilise the most current specific data points we want. The main data sets utilised came through the Queensland Government’s open source data platforms.
First used data set is from Queensland’s BOM open data source. The pulled information regards water storage in Queensland’s dams, from 2013 up until today. A created API was used extract all this information.
Second data set used is derived from the Queensland Spatial Catalogue. The geolocation of dam’s regarding their locality information was needed and was utilised by the use of GDB and shapefile. All this data also included map water storage information and all local council information that are currently in drought. Scripts were made to properly utilise this information.
The third used data set is from Queensland’s Long Paddock portal. This portal contained so much relevant data, mainly including drought information regarding soil moisture, precipitation, vapor pressures, temperatures, radiation levels and drought declaration areas.
All three data sets tying together to produce our informative platform to help out Queensland’s drought victims where we can. It is designed for both government bodies and farmers in Queensland, analysing numerous stats, but the main feature includes the study of past soil moisture trends, looking at the current levels, and predicting future drought levels for specific regions. This coming from Long Paddock’s historical data including temperature, precipitation, vapor pressure deficit to predict soil moisture.
Another feature includes the identification of the closest water deposits to the input’s location. Once you select your given council, and a certain range that you are after, it will show you all water deposits and dams within the range. Recommendations made, considering your location, water capacity and range. This will help drought victims find what they are after, looking at the best up to date stats. Not 100% sure what this is meant to be. Basically our data started on the websites and is now displayed in maps and lists through python and other functional usages. |
| SpaceLab Enterprises |
KinderGeek |
Remote South Australia |
3 |
8 |
Space Lab enterprises is an open online community driven website which educators and leading academics crowd share and surf topics to knuckle out everyday scientific and other researches . The website creates collaboration between researchers. Hence, noting that the site benifits the end-user and improves access to higher education research, sustainable goals, and online collaboration between researchers around the world. The number one factor for doing this website is so that all researchers come together and collaborate and united in the quest for knowledge. SpaceLab Enterprises was created by Alecia, the brain Child of the project for GovHack.
|
| SpotSchool |
Captain Hacker |
Adelaide |
2 |
10 |
Through wrangling and analysis of data about school location, school zone and enrollment of every school in Victoria State, as well as the birth and migration rate of each region, our product provides two interfaces to offer solutions for both parents and education system, including government and schools. Visualizing school info on an interactive map, parents can easily learn which school zone they are in, whether a school is public, catholic or specialist, and the quality of it. Besides, with SpotSchool, schools are able to know projected future demands and react proactively and collectively to better manage enrollment pressure within the Victoria state. Many softwares such as Python, Tableau, BDP, Excel and Java are utilized to capture, process, and analyze data. The data of school location is used to mark every single school on the map. Combined with enrollment history and zone information of each school, we predict the capacity of schools. Utilizing historical school size of past six years, we also predict the future trend of school capacity through regression models. Besides, the data of birth and migration rate of each region is utilized, to predict the demand trend for school in each region. Also, the detailed school information, including the ranking, is also included into our final solutions. With all the data, parents can have a clear idea of the closest school option and other alternative for their children. At the same time, schools can be better informed and prepared to manage class size given predicted enrollment pressure. |
| sqly-me |
Porretas |
Adelaide |
10 |
5 |
Read the README description at the repository to better understand how it works.
However, a simple description is: When there is a need of using more than one dataset, there is a need to cross them at some point. This project is a Python Module capable of doing such merge automatically. It is an enabling tool to allow data scientists (for instance) to avoid the effort of doing it. When it merges all the structured data the user wants, it returns a report and a sqlite database file for the user to then proceed on their analysis.
This project proposes a solution for multiple challenges by creating a Python module capable of taking multiple .csv or .xslx files and combining them into one single database, on a sqlite file. In addition, it provides a report with all files that were able to merge into such database.
It is an enabling tool, not a data analysis and information giving software. However, it is capable of checking all possible combinations inside the total range of files given. For instance, if 10 files are given and two different clusters of data exists on them, it will generate 2 different databases alongside with their respective reports. All outcomes from the data used on this project is present at the Google Drive folder:
https://drive.google.com/drive/folders/13G5ToX0MXUi_SUyzVlTOr6DN-btfo4ws?usp=sharing |
| Start Here App |
The Nav1gators |
Fremantle |
3 |
4 |
Individuals not in employment, education or training who are interested in running their own business may be eligible for New Business Assistance with NEIS. But how will they know if it's a good idea to start their business and how will they know where to open it?
The Start Here app will show users up to date data on business locations and success rates using open government and real estate data. We wanted to design an app that would display information that is relevant to people wanting to start a small business. The app is meant to be used as the first step in researching the area and market before you start. Therefore the information is presented in a simple and clear way so users can quickly get an idea of where to start.
The information shown to them is the amount of a certain business type in a specific area, how this compares with the number of other types of business and the success rate of this type of business based on past small businesses.
The user simply enters their desired business industry and location and the app will use real time data analytics to visualize and assess the quality of their decision.
We used four data sets to achieve our goals:
Past NEIS recipients summary data - when the user enters there desired industry and location the app will compare the selection to similar businesses success rate and show the user a suitability value for their decision.
Business establishments data - Contains information of the number of business in a certain area in each industry. We use this data to visually show the user where certain types of businesses are clustered. The user can then make a decision on where they want to open their business.
CLUE small area data - The region of Melbourne we are focusing on is broken down into 13 small areas and over 600 blocks. This data set contains geometry data for the boundaries of these areas. The app uses this to draw a map that the user can then interact with gather more information related to their business idea.
Melbourne landmark data - Contains descriptions and locations of relevant landmarks in Melbourne. The app uses this to provide added information about each small area that may be relevant to someone opening a small business. |
| StartLink |
Buzi Top Dogs |
Launceston |
8 |
3 |
Workplaces and businesses are trending towards online activities, and as a result workplaces and cities will become more geographically distributed across the country and across the globe.
This brings with it a great opportunity for smaller local economies to take advantage of the portability of emerging industries and emerging businesses.
Using local cost of living and quality of living data and indicators, we aim to provide startups with the data needed to plan the ideal location for the physical resources of their online startups. By providing this data, we aim to draw these new and geographically portable businesses to areas that provide the ideal environment for developing a startup business. We have used 3 data sets:
- We have used Labor Market Information Portal data to identify trends in employment and industry by region.
- We have used ATO - Taxation Statistics to identify region based earning statistics.
- We have used New Business Assistance with NEIS data to identify regions with high success rates of NEIS enterprises |
| STEM Trade |
N & M |
Brisbane |
4 |
2 |
STEM Trade connects students, innovation hubs and training organisations to ensure the development of 21st century skills for our changing workforce. STEM Trade’s website interface allows training organisations to connect with innovation hubs to develop meaningful traineeships and apprenticeships to upskill secondary students for the 21st century workforce.
Initiated as STEM industry bootcamps for secondary students co-delivered by training organisations and innovation hubs, alumni are then able to tap into these industry networks to kick start their STEM careers through traineeships and apprenticeships. The program tracks the progress of graduates over time as they integrate into the workforce from education and training programs to share their STEM success stories with future participants.
The program also allows STEM innovation hubs to consider how our future workforce could be utilised in the commercialisation of ideas and products.
The website provides a map of innovation hubs and training organisations, as well as a list of upcoming STEM industry bootcamps in the area. It provides unique logins for innovation hubs, training organisations, and individuals, allowing direct contact to get those STEM conversations flowing. STEM Trade will build a future 21st century workforce by starting today!
STEM Trade connects students, innovation precincts and training organisations to ensure the development of 21st century skills for our changing workforce. The website provides a map of innovation precincts and training organisations, as well as a list of upcoming STEM industry bootcamps in the area. It provides unique logins for innovation precincts, training organisations, and individuals, allowing direct contact to get those STEM conversations flowing. STEM Trade incorporates data from the Queensland Government Training organisations API https://www.data.qld.gov.au/dataset/training-organisations; and the Australian Government Stocktake of Australian Innovation Precincts - June 2019 https://data.gov.au/dataset/ds-dga-3f3bfe13-96c1-459d-8ad4-53134c47cda5/details?q= |
| Subversive Immersive |
Subversive Immersive |
Albany |
2 |
1 |
We are looking at making historical data available to modern audiences in a way that encourages engagement with Australian history. We seek to evidence and acknowledge that not all people recall events as the may be popularly known. |
| Sustainability |
🌱Smart Green Growth🌱 |
Brisbane |
7 |
2 |
# Sustainability - By🌱Smart Green Growth🌱
## Context
### The challenge
## Introduction
### Our project is a [hydrophonic system](https://en.wikipedia.org/wiki/Hydroponics) that conserves the use of water. it does this by preventing loss of water by evaporation and transpiration from plants. the system also makes use of solar energy so it can be run off the grid in remote areas. this concept is expandable to large scale industrial applications.
## What does it require
### They system uses an enclosed case over a table which has a water reservoir in its base. a solar panel and battery system is also required. A pump helps circulate water in an enclosed vertical garden setup.
## How it works
### The Water is circulated around an enclosed hydroponics system by way of a central pump sits in a reservoir. any water which escapes through the plant leaves is captured by dehumidifies and returned to the reservoir. API's from OpenWeather and SILO are used to monitor the weather and to know then to allow the system to capture outside water. a solar system power the system via a cheap mobile phone hooked up through the internet or via mobile data.
Please note that the evidence of work is a onenote and homepage has source code. |
| SwacchCity (Clean City) |
AccoutureRockers |
Melbourne |
5 |
7 |
SwacchCity (Clean city) is a digital ecosystem initiative based on data analytics, AI, ML and Image processing to understand different usages of waste and recycle it in a better automated way for making the city clean. Other docs - https://drive.google.com/drive/folders/15YxJB8ksD0mLw3I6V3PCToDgftFC3o2N?usp=sharing |
| SWH-FremantleHeritage |
SouthWestHackers |
Bunbury |
1 |
3 |
We're creating an interactive map using Google APIs that details heritage data and photos. Also in the works is a timeline that shows photos and description of historic maps of the Fremantle Townsite. We created a timeline and an interactive website with a map of Fremantle heritage sites, pulled from a database with the list of heritage sites state wide from the State Heritage Office dataset, narrowed down to Fremantle. the markers provide a link to more information on the site when clicked. The timeline features Fremantle at different periods of time, with images pulled from the Digital Photographic Collection dataset and the Fremantle Town Plans dataset. |
| Take a Break, Mate |
The Data Highway |
Mount Gambier |
4 |
3 |
Come for a ride on the highway of data that will see you become a better motorist (and tourist!) Fatigue is a serious safety concern when engaging in long-distance travel. In a fast-paced society where the journey is only the means to an end, how do we get drivers to slow down and ‘take a break’?
A mashup of road crash incident and road crash location data combines with a tourism forecast dataset to create a solution where motorists (particularly those new and younger motorists) can learn safe driving habits specific to their area by judging the safe distance to travel before taking a break. Additionally, where drivers are offered a break in the game, they are encouraged to explore the area as a tourist.
Further, users will be able to view places where collisions have occurred in the past from outside the game mode, and even research where they can go next for their next tourist stop (using the Tourism Forecast datasets), again from outside the game mode |
| Tapestry |
451 |
Canberra |
3 |
4 |
Tapestry
======
# Draw the future!
In order to visualise the future, first we must be able to understand the relationships between our data sets. Tapestry enables us to visualise exactly how changes in data will affect the entire tapestry of information, available to city planners of the future. How do trends in information affect trends in the same time frame?
- Will there be less cars? How does this affect air quality?
- Is the population booming? How does this affect the employment rate?
Tapestry enables you to visualise these relationships as they travel into the future.
Tapestry allows anyone to _explore_, _search for_ and _experiment_ with their own data stories, based on correlations which have not been considered in the past.
Although correlation is not causation, perhaps trends in information over time have profound, and yet undetermined effects on other datasets. |
| Tasmanian Monopoly game |
Team 939 |
Hobart |
1 |
5 |
As the title suggests, we create a Monopoly board game with a Tasmanian theme. We came up with this idea as we wanted to promote famous places around Tasmania (including historical and natural sites) but it also has to be fun.
Monopoly is an easy-to-learn-but-hard-to-master game. One game can take hours to complete depending on the number of players. Monopoly is very suitable for family and groups of friends, hence when we sell one game, we actually attract more than one fan.
By picking iconic historical and natural sites around Tasmania to put on the board, we promote awareness about those places and encourage people to visit them.
Regarding manufacturing, customised Monopoly game can be produced in partnership with USAOPOLY. USAOPOLY is licensed by Hasbro in North America to create and distribute the authentic MONOPOLY game. Working with USAOPOLY ensures high quality, licensed products so we do not have to worry about copyright issues. According to USAOPOLY's website, a minimum order should have at least 5000 units. Pricing will depend on desired features and manufacturing time takes between 5-9 months.
5000 units sound like a lot of initial investment. Therefore, to ease the financial burden, we suggest using crowdfunding sites like Kickstarter or Indiegogo. Using these sites would ensure a certain number of sale if the funding process is successful. It is important to note that Kickstarter and Indiegogo take a 5% cut from the fund raised and it costs another 3-5% processing fee that varies according to region and currency.
|
| T-Chat |
Tiny Happy People Hacking |
Canberra |
6 |
4 |
For GovHack 2019 we’ve taken on the challenge of improving public transport experiences into the future with open data.
We've created a real-time location-based chat platform for public transport users, *T-Chat*.
##Problem
If you travel on public transport you’ll be aware everyone travels in their own little bubble.
They get on, don’t look or talk to anyone and settle down with their phone, tablet, laptop or, in rare cases, a book or newspaper. There’s no sense of community, even where people have been travelling on the same line at the same time for years.
Plus there’s few ways to access information about areas folks are passing through or to interact in engaging ways with fellow travellers.
##Our Solution - T-Chat
T-Chat is a location-based conversation, information and entertainment app that leverages real-time transport open data to connect you to the community inside your vehicle.
T-Chat allows folks on the same public transport vehicle to form and sustain mobile communities, interacting with each other and with an AI, *ChatDriver*.
For GovHack we have created T-Chat as a web-accessible chat system, which would be integrated into an app framework in future sprints.
We integrated T-Chat with ACT Light Rail and Queensland train, ferry and bus real-time location data to connect anyone using the app to a custom chatroom created for each vehicle based on vehicle and user real-time GPS location. We were unable to get similar NSW or ACT real-time bus data working within our app in the available time.
The ChatDriver AI is only very basic in our GovHack due to time and selecting a learning AI rather than a pure scripted chatbot to allow it to expand to support a wider variety of requests and languages over time. This capability would be expanded in the next sprint to provide information about travel routes and arrivals time, the vehicle being travelling in (make, model, history, driver experience, etc) and provide the capability to ask simple travel support questions and comments about individual travel experiences.
This latter data can be used to continue to improve the public transport network.
ChatDriver would also become a more effective tour guide in future iterations. While we began integrating open data on heritage locations and landmarks, we did not fully activate this in the app due to a lack of tour information in these open datasets.
Our plans would include expanding on heritage and landmark listing data and more precisely using the vehicle’s real-time GPS location, such that ChatDriver can point out landmarks along the route in a timely manner (given the speed and direction of travel), helping residents connect more deeply to their city and assisting tourists to find locations they would otherwise have missed.
We also have aspirations to expand ChatDriver to support quiz-based gaming, allowing folks to compete on their knowledge of a city within a vehicle, or to form teams that compete against routes as part of a city-wide leaderboard. This would also leverage open data to ask questions related to the city.
Again this capability is easy to add within our framework, simply requiring additional time to implement.
Finally, we planned on using open data to enable access to useful and interesting information such as how much petrol and carbon dioxide a T-Chat user, or all commuters on a vehicle, saved by choosing public transport. We are yet to add this functionality, leveraging NSW and other open datasets, as we found they required too much additional data cleaning to provide an accurate result within the timeframe available.
We had hoped to develop T-Chat and ChatDriver further in the time we had, however challenges with many of the datasets not being fit for this purpose mean that this initial version of the service is more of a sketch of what T-Chat could become with appropriate data and support. For T-Chat we started with the base real-time and movement and standard data for public transport, using Real-Time GTFS Feed from the ACT (light rail) and South East Queensland's General transit feed specification (GTFS) (buses, trains & ferries) using OpenAPI - which we were able to integrate rapidly and gave us core information such as stops, distance from stops and traffic levels. We were not able to integrate the ACT buses due to their requirement for registration ahead of time.
From here we build a location-sensitive chat service which detected a user's location relative to a public transport vehicle and created custom chat windows for each vehicle, with information on their location as they move.
We created a simple AI that could leverage landmark data, map it using Open Street Maps against the location of the vehicle and respond to enquiries as a basic travel guide - though we have not integrated view distances at this time. |
| Team Black Glossy |
Team Black Glossy |
Peregian Beach |
3 |
1 |
Using machine learning from audio sources to identify black glossy cockatoos from around the region. https://docs.google.com/document/d/15MQ7KNtrMJkyFZQ5jt_Ts-i9h7HIx5MOpRkUguNgtW0/edit?usp=sharing |
| Team IIBIT |
Team IIBIT |
Adelaide |
1 |
1 |
Our challenge is about promoting more opportunities to boost the regional development of South Australia. Moreover, some visualizations have been provided and we have mainly focused on the three sections - Industrial growth and diversification, sustainable population, and live-ability which plays a crucial role in any regional development. The data set is related to the tourism in the region areas of South Australia. |
| tell me a story |
Deep Fried Brains |
Melbourne |
8 |
1 |
Suburb gentrification - a tale of two suburbs |
| The Digging Stick |
Three's Not A Crowd |
Mount Gambier |
1 |
1 |
Our project brings to light some interesting information from an old newspaper article that details an example of evidence of Aboriginal farming practices. "The Digging Stick" directly uses data found in a newspaper article sourced from Trove and The Australian Dictionary of Biography, sharing this information in a video to highlight the importance of Aboriginal farming practices pre-colonisation. |
| The Easier Way Out |
Caffeinated Pre-workout |
Sydney |
3 |
2 |
Filing for bankruptcy can be stressful for people. This already difficult time becomes increasingly overwhelming when you're faced with an extended form asking you about the entirety of your financial situation.
'The Easier Way Out' project aims at making it simpler for applicants to complete the application and easier to provide their income and asset information. Our solution is two-folds:
1. Digitising the form (i.e. debtor's petition).
2. Using algorithms and statistical modelling to pre-populate form fields based on documents and information provided by the applicant (e.g. bank statements, superannuation statements, property statements, etc.). |
| The Full Deck |
Three's Not A Crowd |
Mount Gambier |
2 |
5 |
'The Full Deck' is a fun and creative way of turning a regular pack of cards into a gateway to the North Adelaide Cultural Precinct, in both the real and virtual worlds.
Each playing card features a different photo taken from online datasets from four of the institutions in this precinct, bringing them to life in a physical format. The cards can be collected as part of a trail that visitors can follow between the South Australian Museum, Art Gallery, History Trust of South Australia and the State Library.
The cards also allow the user to engage with the data in a more engaging way online. By scanning the QR code on the back of each card, the user is taken to an app where they will hear the story and other details about the photo featured on that particular card. Our project directly utilises data in the form of photos featured on the face of the playing cards. The photos can be found in datasets at DataSA, the State Library of SA, the South Australian Museum, and the History Trust of SA. These images are otherwise hidden amongst the vast array of photo based datasets that exist online, but our idea brings them into the public eye and encourages the user to interact with these digital sources via a game of cards, an app and a cultural trail. |
| The Power Spot |
Noosa Power |
Peregian Beach |
8 |
17 |
The Power Spot provides a simple way to visualise how much of our energy is coming from renewable sources,
how much renewable energy we are storing in the grid and using later, also,
how much energy we are sharing with our neighbours, and how much energy is coming from non renewable sources.
With onsite renewable energy generation and the ability to purchase accredited green energy, we all have the power to take control of our energy bills.
It allows us to see our community, state and national contribution and progress towards our goals.
The power spot inspires individuals to be part of the solution - the future is bright. We used combined government data with individual monitoring & smart meter data, e.g. solaredge, wattwatchers, Ausgrid Average Electricity usage, Hobarts Electricity use by TasNetworks, Energex Data to Share, AEMO Electricity Data Model Report, and other data sources:
Photo credits
Photo by Jason Blackeye on Unsplash
Photo by Dan Meyers on Unsplash
Photo by American Public Power Association on Unsplash
Photo by Samuel Zeller on Unsplash
Photo by israel palacio on Unsplash
Photo by Sweet Ice Cream Photography on Unsplash
Photo by Tim Marshall on Unsplash
Photo by American Public Power Association on Unsplash
Photo by Ryoji Iwata on Unsplash
Photo by Emily Morter on Unsplash
Screenshots
https://www.aemo.com.au/Electricity/Wholesale-Electricity-Market-WEM/Data-dashboard
AEMO GRAPH https://www.google.com/url?sa=i&source=images&cd=&cad=rja&uact=8&ved=2ahUKEwiotsO9nMDkAhUUeisKHfh-DQkQjhx6BAgBEAI&url=http%3A%2F%2Fanalytics.com.au%2Fnemsight-dashboard%2F&psig=AOvVaw1HeB0ZpQ3MnLsKIF9lxdCc&ust=1567997618208154
Video credits:
https://youtu.be/674cUf0DT8A?t=31 ABC News In-depth
https://youtu.be/-Hf9dwSF5Sc?t=12 ABC News (Australia)
https://youtu.be/BYxiELigUY8?t=16 Nordea Sustainable Finance
https://youtu.be/n2MH_ObaaaI?t=83 ABC News (Australia)
https://youtu.be/r_XDfQFwGoE?t=19 Guardian News
https://youtu.be/sFL93LrUG78?t=25 CNET
|
| Thriving Tasmania |
Team 515 |
Hobart |
3 |
17 |
PROBLEM IDENTIFICATION:
• One of the key reasons for the last year bushfire was climate change. It had caused damages to the natural environment, tourism areas and commercial activities. If such events happen more frequently, it will be catastrophic to Tasmanian natural assets. Therefore, it is vital to promote a sustainable society, protecting natural resources and saving this beautiful island for future generations.
• Government cultivates the wellbeing of its population and people can be shared by the value of sustainability and climate emergency. Currently, there is no integrated mobile application for the biodiversity in Tasmania. In addition, people spend more time on their phones, rather than reading books. Therefore, instead of printing more books, delivering biodiversity awareness via a mobile app is likely to reach a large number of audiences. People can learn the features and development of Tasmanian native plants, trees, animals and landforms at the comfort of their beds, or while they are going out to the natural environment.
PROJECT GOAL:
• The Thriving Tasmania app creates awareness in the local biodiversity of Tasmania through the past and present conditions and forecast its future, such as species extinction rate and geological fluctuations due to climate change, population expansion and urbanisation by using integrated data sources. We belive that if people understand nature, they will act more responsively.
TARGET BENEFICIAL GROUPS:
• Students & teachers
• Academics
• Residents
• Tourists
• Local farmers and the agriculture sector
FEATURES:
Some main features are:
• ID information for individual trees, animals, land formations (including water bodies). The ID information will specifically highlight how climate change affects the object of that ID page. At the end of every ID information page, there will be a link to ‘conservation note’
• Conservation note will explain how climate change is affecting the object in the ID information page. This will help raise awareness about the impact of climate change in local species.
• Timeline of a region that shows how the allocation of trees or animals change over time or how land formations establish and transform over time. To use the timeline, swipe left to see how that region was life in the past; swipe right to see how the region is predicted to change (should be up to 10 years). At any given point in the timeline, some basic climate information is provided such as total rainfall, the highest and lowest temperature in the period. If the timeline is for a type of tree in a region, at any point in time, the timeline will show if this tree is extinct at that time, same with the animals.
• Future estimation: The future period is predicted by combining spatial data from BoM such as air temperature, rainfall, wind, sunshine hours, solar exposure, cloud cover, evaporation and relative humidity; and biological/physical/chemical data of trees, animals and land formations in that area.
• Library: The app contains comprehensive lists of biodiversity data from wildlife researches such as the Atlas of Living Australia and Department of Primary Industries, Parks, Water and Environment.
Additional features:
• Weather notification and hazard warning: the app will draw data from the Bureau of Meteorology to notify the users if weather is suitable for outdoor adventures. It can also warn the areas that are blocked by landslide or flood so users do not wander to those areas. Moreover, live data from BoM will also alert the users about sudden changes in the weather so they can make preparation.
• Story: Users can take photos of trees, animals and landforms and pin it to a specific location. They can add a description or ‘story’ about the photo and share on social media such as Facebook and Instagram. Once a pin is made, other users can also see it from their mobile device. This can attract other users to go to that pin and see if they can find what is in the photo.
There are 4 ways to use the app:
1) Image recognition – you take a photo of a tree, animal, river or land formation. The app compares the photo with data from national parks and other wildlife agencies to identify what is in the photo.
The app then shows you all the ID information of what you have taken:
• example – if you take a photo of a tree: the app shows botanical information, wild ancestors, in some cases – how to grow one.
• to see how the allocation of that type of tree change overtime => tap on the link to the timeline page of that tree in that region.
2) Location search – pick a region on the map. The app would then show a drop-down box and ask you to choose from 3 categories: plants – animals – land formations. Once you select the category, the app will show the timeline of that category in that region over time. In the timeline, there will be a link to the ID formation page.
3) Nearby search – choose the nearby option on the starting screen, the app will use GPS to scan the area within 100 metres from you and show the list of trees, animals and landforms that can be seen within that area. You choose the object you want to learn more about and the app will lead you to the ID information page.
4) Dictionary search: on the starting page, choose trees, animals or landforms, the app will open the full list of all species or types of the chosen category. For instance, if you choose the tree category, the app will show all different kind of trees in that region. Similar to the nearby search, you then choose the specific type of tree you want to know about and it will lead you to the ID information page.
BENEFITS:
• By using the app, users are encouraged to go outdoor and enjoy nature. This promotes a healthy lifestyle, hence, less burden on the local health system.
• The app can be used for educational purpose. For example, students can use image recognition to identify their surrounding environment during a field trip => a more interactive way to learn biology.
• If for any reason, an image taken by a user contains a species that is supposed to be extinct, the app can alert local experts the location of the image to bring that species into conservational areas.
• By sharing stories and photos on social media, the app will share ID information of the trees or animals in the photos as well. This benefits people who do not know or use the app as they can also learn from the social media posts
• By educating people about nature, and the effect of global warming and climate change, the app encourages changes in people behaviours. They will be more socially aware and carefully consider the consequences of their actions on the environment. Some examples are purchasing less single-use plastic bags/cutlery/bottles; Donating to charities with environmental causes; recycling more and limiting energy consumption.
• The app uses live data from the Bureau of Meteorology, hence, it can detect if there are sudden changes in the elements that pose danger to any species (by comparison with species' biological characteristics). Experts will be alerted to take actions if necessary.
How Does It Work?
• The Thriving Tasmania app has the most comprehensive lists of significant trees, unique plants, wildlife animals, land formations and water bodies in Tasmania and they are presented in a user-friendly mobile application.
• It is a convenient platform for presenting the significant trees information (location, coverage, status) and the wild animals feature through a map. Showing a timeline map to forecast the weather and review the past data to estimate the climate impact, such as the rate of extinction.
• There are four ways to use the app by image recognition, location search, nearby search, dictionary search. The app will show all the ID information, for instance, botanical information, wild ancestors and conservative guide.
Increasing Engagement
• Users will be raised their awareness of the natural environment and freeing the spirit to connect with the land. The app can be linked with social media such as Instagram and Facebook to increase engagement. Self-involvement will be enhanced by taking photos along walking in the national parks. They will get the road trip suggestion with the weather forecast notification from the app.
|
| Tidal Change |
There4 |
Sunshine Coast |
5 |
3 |
Our project will clean storm water drains of litter and rubbish floating through them. It will be called the Tidal Change. It consists of a net that can rotate up and down to move litter into a container. It will be entirely solar powered and require very little maintenance. This project is designed for international use as developing countries could benefit greatly from using the Tidal Change.
Three data sets were used for this project. They were used to improve the design of the idea, but also to influence our 5 year plan. This was because with research, we learnt where the units should be placed for maximum effect and how to deploy for the future. |
| Trademark Like Yours |
neat 👌 SSH 😥💰💻 |
Canberra |
1 |
2 |
Unlocking trademark data can help trademarks applicants get the right information, and help the government make informed decisions.
Trademark Like Yours is an information portal that uses TM-Link data, enriched with other ABS datasets, to help find insights into future industries, saturated markets, and trademark law. TM-Link data is looked at the evaluate historic trends and link them to ABS industry profit data. TM-Link data also allows us to view overseas trademark competition and understand the global scale of certain trademarks. |
| TrainMate™️ |
The Codefather |
Sydney |
3 |
4 |
### ⚠️ THE PROBLEMS
We identified three main pain points affecting the quality of our journey on trains:
- Quick and concise ETA at your destination: right now it's something that you check before the trip begins, but once you're in transit it's hard to go back and find the bus or train that you're on, you end up scrolling back in time to recreate your trip which can be innacurate and time consuming.
- The lack of a unified platform for effective and instantaneous real-time announcements in case of delay or sudden stop or emergency. Currently, warnings come from either multiple twitter accounts or often incomprehensible voice announcements on the trains.
- Congestion and uneven distribution of people in the train’s carriages. How many times have you heard Transport NSW yelling at people boarding trains "Please move to this or that carriage"?
### 👍 OUR SOLUTION
For GovHack 2019 The Codefather developed **TrainMate**, a fully functioning mobile application for both Android and iOS that improves the life of commuters and people using the public transport system every day.
By scanning or entering the unique carriage ID in the app, TrainMate will find your route and allow you to select your destination and show a **personal ETA** for your trip.
We also include a visualisation to help evaluate the congestion onboard the train, letting the passengers choose a less busy carriage.
Additionally, TrainMate includes a messaging system to engage with other passengers on the train and **receive broadcast announcements** from Transport NSW in case of delay or sudden stop or emergency.
You're anonymous by default for privacy and safety reasons, so you can choose how you want to interact.
TrainMates mobile application is built in Dart, using the Flutter framework.
The backend consists of a series of AWS Lambdas that crunch the dataset coming from Transport NSW, enrich them and store them on Amazon Aurora. The chat component is built using Google’s Firebase framework.
### 🤔 CHALLENGE
The biggest challenge we faced is in the accuracy of the dataset and the ability to match passengers with the train they're travelling on.
We utilised an obfuscated carriage id based on the assumption that the raw dataset would have a means of mapping that to the true id (and thus not affect feasibility).
Alternative solutions include deploying AWS IOT-powered devices with cameras at key train stations to identify which trains and carriages are active on which routes.
Other options include GPS location matching with real-time train position, as well as utilising Bluetooth mesh for connecting passengers directly in the local area.
### 🏆 BENEFITS
- TrainMate is a privacy-focused application that improves the quality of travelling with public transport while easing the congestion of train passengers.
- TrainMate spurs engagement and social interaction with other people on the train
- As highlighted in the Research paper from the University of Chicago "Mistakenly Seeking Solitude"*, having positive social relationships has been put forward as a key ingredient for happiness.
### 🤓 IMPROVEMENTS AND STRETCH GOALS
#### Some improvements and stretch goals we're considering
- Increase engagement with the social chat platform through gamification and content creation such as promoted topics
- Investigate supporting multiple channels or groups and direct messaging
- Add Natural Language Processing to auto-moderate chat messages
- Integrate multiple sources of information and alerts to provide higher value content
- Extending to other NSW transports like buses, light rail, ferries
- Extending to other networks throughout Australia integrating data from different sources
### 🎯 So, why would you use TrainMate?
- It instantly gives you the most important information for your journey
- It connects you to other members of your community safely and securely
- No personal information is transmitted or stored on our servers
*(https://faculty.chicagobooth.edu/nicholas.epley/EpleySchroederJEPG2014.pdf)
### 🎳 The Team
- Alberto Camillo
- Farooq Ahmed
- Irwin Razaghi
- Jack Song
- Jono Gillett
- Mahesh Chauhan
- Martin Zhang
- Simon Wardan
### 🌐 Links
- [Backend](https://github.com/TheCodefatherPartII/TrainMate-API)
- [Frontend](https://github.com/TheCodefatherPartII/TrainMate)
- [Android APK](https://drive.google.com/open?id=13saXPhoN6k_fK58Fh1LO19d0Dfsf1frM)
- Note: this version ignores the carriage number and selects a current train trip at random so you can demo the app without needing to know actual carriage number
There are a lot of really rich data sources around transport in NSW and Australia, but most of the current usage revolves around what happens before you travel, aimed to help find the correct form of transport and information about that particular journey. At the core of TrainMate we use Real Time train data from Transport NSW datasets. The manipulation and use of these data allow the mobile app to provide a constant up-to-date ETA to people travelling by train every day. |
| Transport Hacks |
ANONYMOUS |
Adelaide |
3 |
2 |
In this project we are undertaking two challenges.
The first challenge is the traffic congestion problem in the CBD area. As per our research in the US alone congestion cost 305 billion dollars which is an increase of 10 billion from the previous year. One of the main reasons for traffic congestion during the peak hours is the lack of parking spaces. We all have faced the scenario where we enter in the CBD area but our usual parking space has already been taken and we are stuck in the congestion looking for as parking space. Building new parking spaces would be the easy way out but it has its limitations. With the growing population we need to use data and the emerging technologies of AI/ML and IOT to find a feasible solution for this problem.
To solve this problem we propose an app Speeden which will use IOT, AI/ML and dynamic routing to solve this problem. The first step would be Smart parking. We will leverage IOT to provide a live tracking of the parking spaces available and the best parking space to chose based on the user's location. We will incentivise the user to choose parking spaces outside the CBD area by providing it a cheaper price. Long route buses take time to reach a particular bus stop. We recommend short route buses running from the parking spaces to CBD. These buses will be provided to the user for free or at minimal price. The user would be able to choose the time of arrival at the parking space and book the bus from there on. The buses would be of smaller sizes so that they in return do not result in congestion and can be easily filled at peak times. Using the app the user can track the live location of the bus and the route to take. AI/ML would be leveraged to generate statistics and insights about the congested areas and provide recommendations to the user.
The second challenge taken up in this project is public transport for the future. We envision that the app can be upgraded to include the future of public transport. The three things we envision are:
1. The buses would be replaced with driverless electric buses that would use AI/ML to service the users need. The integration with the apps would remain the same. Having electric buses would be environment friendly and help in sustainbly developing our public transport system.
2. Induction charged roads is the second technology that would help in charging the electric buses. The buses can be charged on the road without the need to stop. The buses can shift on the induction roads and they would be charged automatically.
3. Use of driverless pods from the parking spaces. These pods would be a point to point service and will take users from the parking spaces to the stations in the CBD. These would be provided at minimal prices to encourage people to use these parking spaces.
We also envisioned the use of dynamic bus stops instead of the fixed traditional bus stops but this idea needs a lot more in depth analysis and hence has not been included in the video. Here we suggest a future use case for the solution.
Tom is leaving for his office but is not sure whether he will get a parking spot in the CBD area where he works. He opens our app and looks at the route options. He is shown the live tracking of the parking spaces. He is suggested the parking spaces close to his destination. Once he chooses a parking lot a spot is reserved for him and then he has to choose the mode of transport for his onward journey. He can choose a bus or pod to travel to his destination. Once he chooses the mode of transport, his booking is confirmed. |
| Understanding Innovation Precincts with BizValidator |
JOCAR |
Sydney |
2 |
4 |
BizValidator makes it easy for businesses to find the information they need through a government portal. The portal generates a rich dataset of user behaviour that can be used to evaluate the performance of government grant programs and innovation precincts.
Hosted and owned by the government, the portal then allows for feedback as to what businesses care about in their location decisions and areas that receive the most interest. The portal generates a rich dataset of user behaviour that can be used to evaluate the performance of government grant programs and innovation precincts.
The platform is designed using a modular open source structure making it easy to extend and modify. With the ability to convert data from anywhere into a standardised grid, it may be used by any city in Australia or even internationally. An API standard has been developed for each of the decision support and indicator modules, to make it easy to add additional models, or even allow users to upload custom data.
This system is designed to scale infinitely but key datasets include:
Victorian and NSW Government Public transport stop locations
Liverpool City Council Pedestrian Sensor data.
Australian Government Stocktake of Australian Innovation Precincts |
| urTrash |
B&C |
Canberra |
3 |
3 |
# The Problem
Around four billion kilograms of plastic is produced annually. 90% of it isn’t recycled. This is a major issue to our health and the environment.
Plastic: ◆ Never goes away ◆ Affects human health ◆ Spoils our groundwater ◆ Attracts other pollutants ◆ Threatens wildlife ◆ Piles up in the environment ◆ Poisons our food chain ◆ Costs billions of dollars to abate.
# Project Goals
The goal of project urTrash is to make people aware of how much plastic waste they are responsible for. We hope that by doing this, we can encourage everyone to make a small change to the way they approach single-use plastics - both in Plastic Free July, and beyond.
# How Does It Work?
urTrash is an Augmented-Reality experience for mobile phones (running Android) that helps you visualise the amount of rubbish you’ll generate in your lifetime. We calculate the amount of rubbish you’ll generate by asking you questions and comparing your responses to various open datasets - you can read about it more in the ‘Data Story’ section below.
After viewing your estimated lifetime rubbish generation, we’ll let you know much of a difference you could make by simply making a few small lifestyle changes to reduce the total amount of waste generated. We hope that by allowing people to visualise how much waste they produce, we can encourage them to participate in Plastic Free July and to make different lifestyle choices in regards to single-use plastics.
# Increasing Engagement [With Men]
By distributing this as a mobile app, we’re able to reach a much wider demographic than by traditional means. This AR experience could even be distributed as a Snapchat filter or Facebook camera filter to further promote Plastic Free July. Furthermore, we’d be able to specifically target groups who may be less inclined to take part through digital marketing, such as men.
If everyone makes a small change, together we can make a huge difference. We’ll all benefit from cleaner streets, oceans, and beautiful communities.
 # The Data
Links to the datasets we’ve used can be found in the ‘Team DataSets’ section below.
# How We Use It
Using data provided by Encycle and the City of Ballarat. We are able to calculate the typical amount of waste produced by a person based on their age, gender, and how they respond to a number of questions. We match their responses to people who have previously conducted surveys regarding their waste habits, and reported on their typical amount of waste. The ‘Ballarat Kerbside Bin Collections’ dataset allows us to see how often landfill, recycling, and food waste bins are collected - which allows us to better calculate how much waste a person will produce in their lifetime.
 |
| Viral mental health awareness visualization |
Guardian Wings |
Auckland |
2 |
|
Allowing your friends to be aware of your mental health state without explicitly telling them Imagine yourself in depression. Many have gone through this situation and are still going through it today. You don't want to tell your friends that you are not in the best state but you also want them to be aware. This app allows you to reveal yourself to your selected closest friends so that they become aware and will help you get through it, together <3 |
| VisuaLink |
VisuaLink |
Adelaide |
1 |
1 |
VisuaLink:
- Provides high level overview of the data from TM-Link
- deeper insights by Filing office, Applicant Country and Nice Class.
- Forecasts future trends - Using the Provided TM-Link database (https://data.gov.au/data/dataset/tm-link), We have taken a sample for the Year of 2014.
- Created a data model as per the schema provided in Data Dictionary.
- Created visuals using this Dataset taking various approaches.
- Forecast data values based on the data available.
|
| Visualising Land Use |
Electric Dreams |
Canberra |
2 |
6 |
Analysing the information from the dataset provided by Agriculture Victoria, we strive to make the data accessible and user friendly. We used the soil API primarily. We also researched soil conditions for crop types. |
| Vox Data |
Vox Data |
Canberra |
2 |
|
Description:
Open data provides us with reliable yet raw information. One of the main hurdles inhibiting its use lay in its siloed nature. As a consequence, extracting meaningful insights becomes laborious and time-consuming. Even when insights are drawn, consumers lack a platform to voice their ideas and positively affect change in our society.
Vox Data gives a voice to open data and the people.
Vox Data consolidates over 100 unique open datasets from public and private enterprise, focusing on quality of life metrics. Using a range of statistical techniques, it analyses the past to predict the future value of each metric. Normalisation and individualised thresholds are then applied to produce Quality of Life (QOL) scores out of 10. These scores represent the calibre of these QOL indicators in our current and future states. Effectively, Vox Data cuts through the data deluge to provide clarity in the chaos.
A deeper understanding of the open data sources driving these scores are found by clicking on each metric. Along with a narrative, quantitative and qualitative information is displayed showing historical trends of the overall QOL score. Each of the individual components forming the QOL score are also displayed, providing a further level of drill-down analysis.
A moderated community forum sits directly below the individual data components on each click-through page, giving a voice to the people. Access to such disparate information under one umbrella empowers consumers to make informed decisions about the future of their society. This is done through posting their own ideas, commenting on others’ or up/down voting specific threads. The commenting functionality allows the community to debate and discuss concerns of importance and how they can make a change.
Transforming these ideas into impact has always been a challenge for society. The forum provides a unified voice which speaks to local and federal politicians regarding key areas affecting citizen’s current and future quality of life. In addition, accountability through transparency is championed due to the integrity of the data.
Ultimately, Vox Data makes open data more conversational, providing a big-picture viewpoint on all things quality of life.
NB: A working version of the click-through functionality has been developed for Health and as such, all links on the front page will direct to Health.
Over the past 5 years, the ACT Quality of Life Score has experienced a steady increase before a dip in 2018. The driving factors behind this dip were the decreases in the scores of Technology, Crime and Safety, Transport, and Government Services. More specifically, the percentage of late busses, pedestrians involved in accidents and cyclist crashes have all increased.
Looking ahead, Vox Data predicts ACT to have a Quality of Life Score of 6, up one point from our current score of 5. This is mainly due to improvements in Health, Education and the Economy.
Drill-down into ACT Health’s Score:
ACT Health’s score is projected to remain steady over the next ten years, moving from a current score of 6.4 to 6.3 in 2029. Both male and female life expectancies continue to drive improvements in overall metrics while more specific indicators such as the number of adults or children who eat 5 or more serves of vegetables a day negatively impact the score. While mental health mortality is projected to rise in recent years, infant mortality and perinatal death rate are on the decline. The steadily growing number of taxpayers with private health insurance continues to partially offset the cost of healthcare related concessions provided by the Government.
|
| VR Bois |
VR Bois |
Canberra |
2 |
1 |
We took Great Barrier Reef depth data and used it to model a terrain in Unity3D. We then added Oculus support allowing the user to explore the seafloor as if they were really there. We took the High-resolution depth model for the Great Barrier Reef provided by GeoScience Australia. This dataset was extremely large (>42GB) and it had data points every 30 metres.
Strangely, this data also included many readings that were on land (with negative depth values) so we made sure to exclude these irrelevant values. The dataset was still so huge and unwieldy, so for our project we narrowed it down to particular longitude and latitude range (still representing thousands of square kilometers). We then stripped out the longitude and latitude values and provided a CSV file of depth values to be parsed by C# code running in the Unity Editor. Our Unity script would then encode these depth values into a square texture, which can be read by Unity's terrain system as a heightmap. Vertices on a plane would be raised or lowered based on the heightmap data, giving us an easy way to replicate the seafloor depth data in-engine. There was a resolution limit of 4096x4096, meaning we could represent 16777216 data points from the original dataset using one Unity terrain object. The dataset had well over a billion data points but this is plenty for the Unity engine to handle. We used a 2048x2048 heightmap texture for our demo video. If we were to expand on this, we could theoretically represent the entire Great Barrier Reef in-engine, just not all at once due to memory limitations. This project was a fun technical challenge and gave us a fascinating new way to look at mapping data. |
| V (We) R (Are) Fremantle |
Next Era Tech |
Fremantle |
7 |
8 |
#### We integrate Virtual Reality (VR) and emerging technologies to build Smart Fremantle and provide immersive heritage interpretation experience.
## Background
The City of Fremantle is known for its unique heritage. As one of the most visited destinations in WA, Fremantle is constantly seeking new and innovative ways to make this information available to visitors.
Government, libraries, research institutes and local companies have developed massive creative strategies to display heritage, culture, art, history, buildings and attractive events.
## VR Immersive and Interactive Heritage Interpretation System
We are “Next Era Tech”.
We integrate Virtual Reality (VR) and emerging technologies to build Smart Fremantle and provide immersive and interactive heritage interpretation experience.
Virtual environments of heritage in Fremantle are created with the integration of VR and emerging technologies, such as 3D laser scanning cloud points, big data, building information modelling, smart city, internet of things and artificial intelligence.
All information related to built heritage, culture and art, Indigenous cultural heritage, colonial heritage and notable historic people can be updated in the VR Fremantle system. In the VR environment, users can find important notes, search any research, library, heritage and townsite websites, and use the interactive location based information display system.
## Highlights and Contributions
The VR Fremantle system can bring users great immersive and interactive heritage interpretation experience.
It has broad prospects in
- attracting more travellers across the world,
- promoting histories and culture,
- protecting and interpreting local heritage,
- encouraging participation of youth in broader local communities,
- and improving small business and economic development.
We integrate VR and emerging technologies to build the VR Immersive and Interactive Heritage Interpretation System and Smart Fremantle. |
| Waldo |
Hello Politician |
Auckland |
3 |
|
About us
Why was Hello Politician created?
A report from stats.govt.nz measured voter turnout in the 2014 New Zealand General Election and political participation using data from the 2016 General Society Survey. It shows that:
- 85% of the eligible voting population voted in the 2014 General election
- 70% of people aged 18-24 voted, compared with 94% of those aged 65 and over
- 54% of non-voters said the reason for not voting was that they were disengaged. This includes people who ‘couldn’t be bothered’ and ‘didn’t get around to it’
- Of those aged 65 years and over, 15% rated their interest in politics as very high, compared with 7% of those aged 15 to 24.
- About 29% of the New Zealand population rated their trust in parliament as low.
- Our team was astonished by this report and with the 2020 election fast approaching, we set out to try to change these statistics.
- Our mission is to increase the percentage of the population who participate in voting, with a focus on those aged 18-24 and increase the level of engagement and trust in our MP’s.
- Our aim was to create a tool that would allow users to easily find members of parliament, and to increase transparency surrounding their political behaviours.
With this in mind, Hello Politician was born. It was developed during the 2019 GovHack Hackathon, with a team of 8 awesome people, and lives on today at http://www.hellopolitician.com . All data was taken from publicly available resources listed below, and was not cherry picked to present a particular stance or position. Our goal is transparency for the public, not to push a political agenda. Waldo tells you about your politicians using data extracted from PDFs from the government. |
| Walkitoff |
Team Bossman |
Taradale |
2 |
3 |
We are **gamifying exercise** and give an incentive to move and be more healthy. We used data to justify the need for our app and to plot location data of activity locations. |
| Walk the Talk |
Walk the Talk |
Fremantle |
4 |
8 |
This is a very cool app created for GovRack, that will encourage people of all ages, from children to adults, to walk more and reduce congestion and parking issues. People will be able to use the able to walk to work, to school, to the markets or anywhere. It will also help saving the environment, reduce pollution and make the world a better place. I am only 9 years old, and I want to be able to live in a great world, for me ... for two daddies and for all of my family! Thank you, GovHack, for allowing me to express my ideas and change the world! My Papai, one of my daddies, helped me with this. We looked at lots of data from the government and also some data from NSW and from the BOM. It was very cool investigating all these things |
| War on Water Waste |
GoWithTheFlow |
Brisbane |
7 |
1 |
War On Water Waste is a game that simulates Brisbane city from 2000 to 2050. The user plays the role of town management, and tries to make Brisbane the best city that they possibly can. While certain features are still under development, the basic theme of saving water has been implemented - this could be used to teach school children about how to save water and protect the environment, as well as the challenges that governments face in managing a town's water resources. The game is supposed to utilize data from the BOM and possibly other sources such as the CSIRO, etc... to provide a realistic simulation of what Brisbane has and will face during the simulated period. For example, rainfall data could be used to provide realistic rainfall data to the app so that the simulation can be an accurate reflection of what Brisbane has experienced. Furthermore, data extrapolation can be performed to extend the data into future years to provide rainfall data for years beyond 2019. |
| Waste:ED |
Noosa Waste Management |
Peregian Beach |
8 |
10 |
Educating the community about waste management and resource recovery, and encouraging more mindful behaviour through AI based reward or penalty systems. The goal is a long term reduction in waste to landfill through better community engagement from government provided waste collection services. Using address related GIS data and collection schedules, create an app that alerts users to the time and type of collection, while providing volume over time details of their waste production and resource recovery efforts to date, aggregated with local, regional and national level sources to paint a picture of everyone's combined efforts.
Use AI to "score" and/or categorise contamination in recycling bins, then use A/B testing of reward vs penalty based systems to encourage behaviour changes and reduce waste to landfill over time.
Additional features allow a barcode scanner in the app to determine if a product package is recyclable or not |
| Water Aid |
Keep The Kool Time (KTKT) |
Adelaide |
10 |
24 |
INTRODUCTION
There are four members making up KTKT who are Kylie, Thanh, Karthik and Tin. The project the group produces for the GovHack2019 competition.
PROBLEM
The problem the team wishes to tackle is water resource management in Australia. A central theme connecting them, with data across several states which is expressed by or related to the following challenges:
Maintaining consistent fresh water supply is crucial to cope with the burden exerted by growing human population. Furthermore, even though 2/3 of the Earth surface is water and 95% of which is seawater, unsuitable for most human daily consumption. Climate change in recent years has also altered water life cycle across the world, causing frequent abnormal natural disasters linked to water, depleting water reserves and flooding habitats.
Therefore, to have a sustainable water resources for humanity, there is a strong need to not only manage water resources more effectively but also innovate current processes. If we could tap into seawater for fresh water supply for instance, more water would be available for human consumption and activities. On the other hand, water waste management is vital to maintain the continuity of water cycle while contributing to a cleaner environment for living. For lasting and meaningful success, intensive and extensive support from the wider community, not just the government, is needed. The whole population should have access to sufficient and correct information on this topic before being able to contribute properly to this endeavor. Better customer experience with government services would invite collaboration with water management initiatives across Australia.
VISION
Using open-source data, KTKT aims to provide an educational tool in the form of web interface for everyone, including people with disabilities, to understand more about our relationship with water then manage the resources effectively with innovation and audience involvement. Before finalising our topic of focus, water resource management, we consolidated all the challenges, followed by the division into different categories by utilising mind map technique. Those with the relevance to at least 5 challenges were selected and went further through a process of elimination. Gradual enlargement of the scope helped us to single out the central theme with the most reach, which is water resource management. The runner up candidate was public infrastructure.
Relevant datasets and sources are the next targets. They are assessed further in terms of data quality and assigned to related challenges. The following step was to pre-process acquired data prior to analysis. Qualified foundation data must also fulfill the requirements set by chosen challenges while additional data were picked based on compatibility with starting data. Visualisation is produced from mentioned competent data to supplement understanding and make it easier to gain insights while being useful for demonstration in the solution’s platform.
The solution for the challenges was shortlisted depending on its ability to fulfil the requirements which in this case was an educational website on water catered for everyone with relevant features and functions. |
| Water-from source to tap |
Sunshine |
Sunshine Coast |
3 |
2 |
Create an app to provide educational data about water resource to primary and lower secondary students. |
| Watergy |
Octagon.io |
Sydney |
9 |
12 |
Australia’s hot and dry climate, makes resources such as fresh water a valuable commodity. This issue is combined with the problem of the extensive resources required to connect remote and regional communities to accessible power. With the aim to reach sustainable targets by the end of 2050 - 100% in renewable energy sources and 33% in recyclable waters and water savings - it is becoming ever important that we encourage individuals and households to become more aware of their sustainable impact.
We, Octagon.io, propose an application which enables individuals to access and visualise key data identifying their sustainable impact, how others are performing across the country and suggestions on what more they can do to contribute. By having access to such a vast array of data, we envision Australia to develop self-sustaining and environmentally conscious communities by 2050. Watergy draws external data such as weather forecasts, rainfall and energy usage from a server. Government raw data is connected and fetched using REST APIs and cleaned using the Open Refine Tool. The data will be stored, analysed and fed back from website access/mobile devices on GCP (Google Cloud Platform). Data pulled from GCP will be processed by ChartJS for in-app viewing. |
| Water Hacklings |
Hacklings |
Sydney |
7 |
7 |
Youth team (4-11 years old) working on a water hack in Sydney (remote).
**What did we make?**
We made a model of a playground we think the council should build hopefully you think that too. It isn’t just an ordinary playground it is a fun place teaching children about water. It teachers children how we get water to our houses, and things that affect this process positively and negatively. This playground is free and accessible to everyone. It is great for school excursions. We used water nsw to learn about how water gets to our taps.
We used water nsw dam levels in order for our lakes to mimic the actions of their corresponding lakes.
We used BOM rainfall to see and learn which lake should be on or off.
Lastly we used seed environment to learn what to teach children about our environment especially the water part. |
| Water Source to Tap |
Skylark |
Melbourne |
1 |
1 |
An educational video for kids to understand how water reaches tap from various sources. |
| Waterwise |
Cicada |
Adelaide |
5 |
3 |
## Problem
The water supply has been unstable across the years in Australia. Given the heavy reliance on rainfall,
focus on water conservation has been put on streamflow control.
However, things can be done more household basis. While water consumption remains consistently high, the visualizaton on the consumption per facility is missing.
## Solution
We would like to introduce a mechanism that can encourage citizens to keep track of their water consumption,
while incorporating some social and gamification aspect so as to make water saving part of their daily life.
In this way, the small steps in water saving can be encouraged, in a fun way!
The details of solution is below:
### Data analytics dashboard
- By different time span (daily / weekly / yearly)
- Real time graphics
- Indicator of the water consumption situation
### Compare
- Historical data comparison
Recommendation
- Identify which appliance / household activity consumes most water and recommend the users with water saving tips (e.g. reuse water)
### Social
- Ranking among the neighborhood (for water saving %)
### Alert
- Send push message to users on app/email to remind that the water usage is touching the target boundary
### Incentive
- The collected points (drops) can be used for gift redemption ## Why DROP?
When we look at the current water situation in Australia, we could see a large area of arid inland, inter-regional water imbalance, unstable accessible water volume and increasing water demand.
`[Reference]: http://www.bom.gov.au/water/dashboards/#/water-storages/summary/state`
Let's focus deeper on Melbourne Water situation.
The picture below shows the water storage and precipitation at four major dams in Melbourne.
On one hand, water supply comes from water storage in dams. There are two sources of water storage. One is from rain fall, which is the upper part of the picture. The other source is from streamflow, which is shown in the lower chart. However, we notice that both rain fall and streamflow experience high unstability over years. Dry year and wet year take place by turn.On the other hand, Water demand, which is drawn out in grey line in the lower chart, clearly shows an increasing trend year by year. From year 2007, water usage is surging.
As a result, we can't count on a changing water supply, the only thing we could do is lower water demand. By developing DROP, a water saving APP that helps to plan home water usage, we hope to raise awareness from each individual to save water. We believe <u>EVERY DROP COUNTS</u>. |
| Well Beeing |
Tessellate |
Fremantle |
9 |
12 |
#Password for the Homepage URL is 'pass'#
As we aim to take a proactive approach at preserving one of our most valuable resources, our environment, we turn to another valuable resource for solutions. Data. Our response to the current climate is to create an app we call Well Bee-ing, Powered by Open Data, tools, and individual actions.
The approach used by this app is unique in that it fosters change by elevating three types of power: whole power (connecting and magnifying strengths and resources across an entire system) Way power: developing specific pathways to reach a goal and make dreams a reality, and will power: through persuing goals through dedication and sustained motivation to achieve new possibilities.
Well Bee-ing also provides reference points for the individual and government to see progress in our ecological footprint, carbon emissions, air quality, water usage, and waste production. We do not know of other apps which connect individuals and government to work so dedicatedly on their ecological wellbeing. We did analyses of multiple open data sts like City of Ballarat waste datasets. These helped us identify patterns waste production and enery usages. We build spatial visualisations for understanding where there are under-served areas for waste collection (e.g. public litter bins) and analysing trends in gross waste volume.
We used open tools like Ecological Footprint finder from World Wildlife Foundation and Water Wise from Water Corp
We built image classification AI / ML models to identify trash that can be recycled at home , trash like styrofoam that needs to go to recycle center and trash that cannot be recycled
|
| Wenergy WA |
Wenergy |
Bunbury |
6 |
17 |
Locate Future Water Storage and Link Watercourses and Energy Distribution Infrastructure.
Plan resource allocation and identify regional projects to support growth.
Connect special interest groups/clubs with government funding programs to assist regional growth.
Wenergy Shows us Where and When the Regions are Ready to Transform. A mine at the end of its life, usually requires large amounts of backfill and rehabilitation. What if, we could repurpose it, and turn it into a vibrant and sustainable community.
Electrical and road infrastructure currently form the basis of existing mine sites and can be repurposed into a new industry hub.
Open cut pits would provide a new water storage, for agricultural enterprise and hydroelectricity.
Solar Electricity farms combined with horticulture are a way to provide jobs and the sale of excess electricity to pay for community facilities.
Electricity could be used to power vehicles and machinery within the community adding to the sustainability of transportation
Modern solar farms built above ground provide shade house conditions underneath to grow food crops and the rainwater can be collected for use in crop irrigation.
As mine sites follow mineral seams, they are often in close proximity to other sites, if we could interlink these repurposed water storage sources, we can create green corridors in areas that are usually arid. These green corridors become a flora and fauna safety net, encouraging sustainability and biodiversity. |
| What Will We Look Like? |
Coder's Unite |
Ballarat |
4 |
4 |
We attempted to use 1990 to 2020 data, and from this forecast to 2050, to give us an idea of what Australia would be like then. |
| Wilky |
Wilky |
Peregian Beach |
5 |
4 |
Whale awareness / sound relay project. Bring whale sounds to the land lubbers and the broader community. Increase awareness of environment by platform for deeper engagement.
|
| Wording |
Digital Poets |
Whanganui |
2 |
5 |
Dissecting parliamentary speeches into poetry Speeches are published from the house are directed to from them sound bytes and keywords are taken to form poems. Images are selected from archive NZ to match the style of the poem. |
| Working on CBD Traffic |
dotjam |
Adelaide |
3 |
|
Provides a dashboard to find out ways you can reduce traffic in your city using a range of opendata apis. |
| WorkPaths Australia |
WorkPaths |
Sydney |
4 |
5 |
Our motto is “Helping Australian’s to find appropriate and fulfilling work based on FACTS”
All Australian’s deserve fulfilling and well paid vocations.
It is also in our national interest for people to fill vacant jobs that are available and prepare for future demand. Excitingly, this might include people starting businesses.
A well paid workforce contributes to financially to the country in the form of increased taxes and to their community in terms of supporting not-for-profit community activities.
In the first stages of our analysis we identified a number of persona who may need additional informational support from the government in this area:
* People reentering the workforce after a career break, for example parents
* Career change - people unhappy with their present work
* Students who are unsure of their current choices
* Older people who still need to work but may not be able to do so in their chosen profession
* People who are unemployed but keen to work
We made a number of other key decisions after considering our target market:
* we would optimise for a mobile web experience, particularly phones
* we would assume that discovery of our service was key, and would optimise for entry from search (eg google), Direct marketing (eg email) and social media posts and have dedicated “landing pages” for each persona
* we would ask as few questions as possible before offering a small number of initial suggestions
* we would offer two types of suggestions : starting a small business and career options
* we would need an API to make recommendations based on the type of persona and the questions asked that uses government data from the ATO, State Governments and Department of Employment, Skills, Small and Family Business.
After some early data discovery using data.gov.au and data.nsw.gov.au and doing early conceptual design we discovered that some existing sites that supplied some similar services to our idea, such as https://joboutlook.gov.au/ (Department of Employment, Skills, Small and Family Business) and https://www.myskills.gov.au/courses/search/ (ditto).
At this point we pivoted to enhancing existing services to eliminate duplicated effort. In particular we decided we would suggest an additional feature “section” for https://joboutlook.gov.au/ - /WorkPaths - that would be optimised to provide a quick and simple gateway to the services of this site via tailored recommendations that allowed “explore more” from the main site as well as https://www.business.gov.au/guide/starting (starting a small business).
The API we have prototyped would utilize the following data sources is fully realised:
* https://data.gov.au/data/dataset/taxation-statistics-2016-17/resource/bfa7ef04-e9f2-46ff-a959-84f005dfd17b - Sheet 7E to locate jobs to areas
* http://lmip.gov.au/default.aspx?LMIP/GainInsights/VacancyReport to locate unfilled demand
* https://www.myskills.gov.au/courses/search/ to locate training in locations (NB need to be “scraped” at present) (we examined https://training.gov.au/Search/Training but found its output less useful)
In summary proposed user journey is:
Search term, link in email or social media post leads directly to “persona page” on https://joboutlook.gov.au/WorkPaths
Ask a few simple questions - would you live somewhere else for work ? Where do you prefer to live ? Educational Level ?
Call API to get recommendations
Present recommendations, and links to both detailed profession pages on https://joboutlook.gov.au/ , and explore more links to https://joboutlook.gov.au/ and https://www.business.gov.au/guide/starting |
| Xplore |
SuperFriendz |
Canberra |
4 |
1 |
This tool
- connects people to their community and environment according on their lifestyle needs and values.
- ensures a diverse society is accommodated for in the ACT by linking people to their community hubs.
- progresses the society by innovating with new technology, leading to a brighter, better and more connected future of tomorrow.
2 important benefits of this magical tool:
- One: will help users make informed life choices; and
- Two: will help government make evidence -based policies and plan for the future based on data collected on users. The Xplore tool uses the multiple data sources available on the ACT Government Open Data Portal (https://www.data.act.gov.au/) as its underlying data. This includes the geolocation data of schools, hospitals, libraries, public transport routes, recreation facilities and projected population growth time series by suburb. The data was cleaned and transformed into a usable format using Power Query and stored as a Microsoft Access database. You can find the complete list of datasets we used and analysed here: https://github.com/Hjacer/Govhack19-Xplore
Xplore uses cutting edge technology such as geospatial visualisation and machine learning algorithms to better visualise and predict population trend to better help the individual end user and ACT government to plan for their future. The tool not only visualises statistics such as number of schools and hospitals, predicted population growth rate by suburb, but also makes recommendations for the user. The tool works by taking user inputs such as age, gender and suburb they want to move into, and uses the built-in machine learning model to forecast population growth. In production, the recommendation system will also calculate the ten year lifestyle, housing affordability and employment outlook scores using public facilitates data, housing datasets and employment datasets for the suburb the user entered. It will then compare these scores with other ACT suburbs and recommend the best suburb (highest score) for the user to move into in the future.
The ACT government could also use the data we collect through the system, such as user demographics, housing and employment data to better plan for the city in the areas of population, education, community and job opportunities in the future. |
| Yesterday, Today and Tomorrow |
DataOpener |
Canberra |
6 |
5 |
DataOpener is a platform that organizes open data, and allows government and the public to get a better picture of what is happening in their local area, and helps people make decisions for their future, and helps inform government decisions for a better future.
Using a combination of data sources, DataOpener builds regional profiles and geographical visualizations to help people gain key information about the region at a glance. The ACT is undergoing a continuous growth in its population, and its infrastructure has to continuously change to grow with it. In the next 10 years Canberra's population is expected to reach over 500,000.
To support this increase in population, the ACT government needs to have plans for the future of the infrastructure in areas such as transport, housing, health care, and education to ensure that the ACT thrives as the population grows.
Our team has developed DataOpener to help with this complex issue, and begin a journey towards better understanding the needs of the region. Using open data sets from a number of government departments, DataOpener provides visualizations of what the situation of the region is from the past to the present, and of our direction into the future. This is expected to assist the ACT Government in finding areas that need to be developed for the future, and how to prioritise what will have the largest impact. To help with highlighting these areas, our team uses Machine Learning models that identify likely gaps that are likely to become issues in the near future.
This in turn allows decision makers to identify gaps in Transport, Housing, Business and Environmental planning that should be accounted for in future planning.
DataOpener can also be used by members of the community. For example, if Alex is wishing to move to a new suburb with her family, using our platform she is able to view the new suburbs and parks for her family to play at, how many bus stops are near her house, how safe is the suburb is, and how the population of the suburbs will grow and develop as she raises her child.
Another use case is using the information in the present and the past to inform members of the public during travelling. For example Steve is driving to a suburb in Canberra he has not been before. Using our map Steve views area’s where historically car crashes have occurred. He is now able to understand places to potentially avoid or to be extra cautious when driving through.
Through DataOpener, our team hopes to build a future of the ACT that is more inclusive, resilient and prepared for the future as we discover new opportunities from data to build a better future. |
| Yours Outdoors |
Steve's Group |
Sunshine Coast |
10 |
3 |
We have developed ***Yours Outdoors***, an App designed to find the best park and outdoor facilities for you and your friends. For the development of this App, we used data from the Australian Government datasets webpage – *data.gov.au* – *‘Park Facilities and Asset Locations’*, which was the starting point to generate data to be incorporated with Google search engine results based on current location or suburb and/or postcode for all locations. Following that, ***“live”*** data from the Bureau of Meteorology (BOM) was incorporated into the product and returned timely updates on weather conditions. The search was then completed using filtered data from the *‘Park Facilities and Asset Locations’* dataset, based on user preference for the type of facilities needed. The result was then incorporated once more into Google to generate navigation, with an additional option to send the location to a friend. The App also incorporated additional options for Social Media interface (Facebook, Instagram and Twitter), a rating system to allow users to share their experience, and the possibility to report on maintenance issues and/or services that may be required.
Our developed App has the capacity to be expanded and used in other regional areas of Australia. It also has a user-friendly interface that could easily be linked to an already fully functional *TransLink Transport* website (e.g. Gold Coast) available for both, Android and Apple users. Further improvements and applications can be the use for water resource planning and management, Indigenous Languages and ultimately, the collection of data for Government and private agencies. |
| Youth Justice Maze |
Team 514 |
Canberra |
2 |
3 |
We’ve always been passionate about what can be done to help disadvantaged people and particularly a group of young people whose stories don’t often get told – those in our youth justice system. We have linked data in Victoria to evidence-based messages about youth justice to build empathy for young people caught in the justice system’s maze and think about we want the system to be doing instead.
We have explored Victoria’s data to see if we can align what we know about where these young people come from and what they’ve been through to evidence-based messages. We used ABS shape files, and linked youth offending data from the Crime Statistics Agency Victoria with SEIFA data from the ABS and population estimates from the ABS to map youth offending across the state and assess its link to disadvantage. We used tableau to create diagrams and maps, and undertake some data matching and python's pandas and matplot lib packages to undertake some statistical analysis of the linked dataset. We also used surveys reported through parliamentary inquiries to create graphs illustrating the experiences of many young people in the juvenile justice system in Victoria. |