Thrive or survive: how can we adapt for the future?
What will Australia in 2050 look like?
Eligibility: Must use one or more CSIRO datasets
Go to Challenge | 38 teams have entered this challenge.
Octagon.io
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.
Description of Use Potentially, the energy / water planning planning suggestions app could incorporate coded rules to suggest energy rebates depending on the data collected in the initial survey to the user.
Description of Use Weather data, and how overcast it is can be used to notify users of how much percent capacity their solar panels are being used to inform users they may be saving less energy that day, and make suggestions for the user to reduce their energy usage.
Description of Use Provide users with information about australian energy statistics by fuel type. Users can view current solar energy usage and be suggested on
Description of Use This can be used to benchmark the users own usage against other people within their region which will be used to provide energy usage advice
Description of Use This data can be used to show people how their region will be impacted by climate change in terms of climate and weather.
Description of Use This data can be used to supplement the dam level data for residents across the state of NSW.
Description of Use The data on rainfall, temperature and level can be used to supplement Greater Sydney’s dam level data, and incorporates river data which could be relevant for rural residents. This data can be used to inform rural users of the quality of their water supply, and offer suggestions for alternative supplies as needed (e.g. rainwater tanks).
Description of Use Used to display the local dam levels and rainfall levels around the dam for a user, and to formulate an action item for the user to follow based on the dam level/rainfall in the past. For example, if the dam level is below 30%, then the app will generate suggestions for the user to reduce their water consumption.
Description of Use This can be used to compare water storage levels across the states and capital cities along with individual storages along with water level changes across previous years/months/weeks/days. This will increase user awareness of the limited supply of water and be used to customise suggestions for water use when dams/reservoirs/weirs in their local area are running low on storage.
Description of Use Used to compare an individual’s water consumption to average state levels, so users can see whether they are above or below average in water consumption for their state.
Description of Use Rainfall forecast can be used to inform users to draw more from their rainwater tanks in preparation for the coming rain, to maximise rainwater collection.
Description of Use Used to generate visuals for daily and monthly rainfall forecast in our proof of concept. In the future app, it can be used as a benchmark to compare the current rainfall in specific regions to previous years, so users can see how the rainfall in their region has changed over the years. Historical data can be used as additional data for rainfall forecast in the coming month, as well as to inform users of whether they should install rainwater tanks depending on the historical rainfall in their region.
Eligibility: Must use one or more CSIRO datasets
Go to Challenge | 38 teams have entered this challenge.
Eligibility: Use any open dataset to support your entry.
Go to Challenge | 32 teams have entered this challenge.
Eligibility: Use 2 or more datasets from the SEED platform https://www.seed.nsw.gov.au/
Go to Challenge | 14 teams have entered this challenge.
Eligibility: Use any open dataset to support your entry.
Go to Challenge | 15 teams have entered this challenge.
Eligibility: Australia Only
Go to Challenge | 26 teams have entered this challenge.
Eligibility: Teams must design a service that uses either the NSW Openfisca API (if they are utilising existing coded rules) or build an Openfisca API instance themselves if they are coding their own rules. Teams can choose any of the NSW government coded rules related to Cost of Living, or alternatively code some of their own rules/policies by choosing any that apply to NSW. An example of a service that is built using OpenFisca based coded rules is the NZ Smartstart, and the rules for the service can be seen at OpenFisca-Aotearoa.
Go to Challenge | 5 teams have entered this challenge.
Eligibility: Eligibility Jurisdiction - Australia only
Go to Challenge | 19 teams have entered this challenge.
Eligibility: Must use one or more CSIRO dataset
Go to Challenge | 17 teams have entered this challenge.
Eligibility: Teams can use any open datasets, but at least one must be a NSW Government dataset.
Go to Challenge | 24 teams have entered this challenge.