Tasmania Challenges

Artificial Intelligence and Machine Learning for a Digital Twin

The City of Hobart is developing a Digital Twin that will contain high resolution photogrammetric data and allow integration with diverse datasets owned publicly or privately. We are keen to explore the use of Artificial Intelligence (AI) and Machine Learning within these datasets.

Eligibility: Use one or more datasets from CoH Open data portal and ensure the submission relates to Artificial Intelligence and Machine Learning for a CoH Digital Twin.

Go to Challenge | 3 teams have entered this challenge.

Best Tasmanian commercial opportunity

How can we use Tasmanian Data to create something that could be an economic success?

Eligibility: Must use Tasmanian data.

Go to Challenge | 5 teams have entered this challenge.

Most outstanding benefit to the residents of Tasmania

How can we use Open Data to most benefit residents of Tasmania?

Eligibility: Must use Tasmanian data.

Go to Challenge | 6 teams have entered this challenge.

The best use of Tasmanian Heritage Data

How can we use data to showcase Tasmania’s history, people and stories?

Eligibility: Must use Tasmanian data.

Go to Challenge | 3 teams have entered this challenge.

The best use of Tasmanian Spatial Data

How can you use Tasmanian spatial data to improve life for Tasmanian residents or businesses?

Eligibility: Must use Tasmanian data.

Go to Challenge | 3 teams have entered this challenge.

Nation Wide (Australia) Challenges

ACTIVATED Public Spaces

What makes a public space vibrant, walkable, and encourages people to dwell longer at different times of the day or night, and throughout the year?

Go to Challenge | 17 teams have entered this challenge.

Artificial Intelligence and Machine Learning for a Digital Twin

The City of Hobart is developing a Digital Twin that will contain high resolution photogrammetric data and allow integration with diverse datasets owned publicly or privately. We are keen to explore the use of Artificial Intelligence (AI) and Machine Learning within these datasets.

Eligibility: Use one or more datasets from CoH Open data portal and ensure the submission relates to Artificial Intelligence and Machine Learning for a CoH Digital Twin.

Go to Challenge | 3 teams have entered this challenge.

BETTER Public Spaces

How do we help ensure everyone feels welcome and safe in public spaces (day and night) regardless of age, gender, ethnicity or identity?

Go to Challenge | 14 teams have entered this challenge.

Building Citizen’s Trust in this Digital World

In order to access online services, citizens need to give their consent for their data to be used. How do you gain their trust that their data will be used appropriately?

Go to Challenge | 8 teams have entered this challenge.

Deadly choices for Moreton Bay (QLD)

How can we support the development of social and cultural outcomes across the Moreton Bay Region?

Eligibility: Open to everyone, preference will be given to those providing solutions using at least one local Moreton Bay data set.

Go to Challenge | 5 teams have entered this challenge.

Emerging population trends and post-pandemic planning

What is the impact of COVID-19 on reshaping population growth and distribution across NSW?

Go to Challenge | 6 teams have entered this challenge.

Getting parking right: matching car parking rates to accessibility

How can we make a difference by making ‘accessibility’ measurable?

Go to Challenge | 4 teams have entered this challenge.

Jobs and Growth for Moreton Bay (QLD)

How can we create a prosperous future for our youth?

Eligibility: Open to everyone, preference will be given to those providing solutions using at least one local Moreton Bay data set.

Go to Challenge | 9 teams have entered this challenge.

Managing Our Water Resources

Can water data help us understand and better manage our water resources and environment?

Eligibility: Participants must use one or more datasets from Data.Vic.

Go to Challenge | 7 teams have entered this challenge.

Meeting the needs of vulnerable Australians during a global pandemic

How can data help us better understand and meet the needs of vulnerable Australians such as older Australians and Australians with a disability as we navigate through the complexities of a global pandemic?

Eligibility: Must use at least one open dataset.

Go to Challenge | 6 teams have entered this challenge.

MORE Public Spaces

How do we unlock underutilised government owned land and property to create new, high quality public space?

Go to Challenge | 9 teams have entered this challenge.

Most outstanding benefit to the residents of Fremantle

How can we use Open Data to most benefit residents of Fremantle?

Eligibility: Must use at least one open dataset.

Go to Challenge | 3 teams have entered this challenge.

ROAD TO RECOVERY Public Spaces

How do we build confidence in the community to use public spaces to support economic, social, cultural and environmental recovery, whether in response to Covid-19, or other disasters such as recent bushfires and floods?

Go to Challenge | 12 teams have entered this challenge.

Safeguarding citizens privacy and ownership of their personal data

How might we build telemetry and data insights without compromising citizen privacy?

Eligibility: Participants must use one or more datasets from Data.Vic.

Go to Challenge | 8 teams have entered this challenge.

Sustainable Moreton Bay (QLD)

How can we create a diverse and flourishing planet for generations to come?

Eligibility: Open to everyone, preference will be given to those providing solutions using at least one local Moreton Bay data set.

Go to Challenge | 8 teams have entered this challenge.

The cost of water

How can we use data to achieve an equitable way of distributing the costs of providing clean water to residents?

Eligibility: Must use at least one open dataset.

Go to Challenge | 6 teams have entered this challenge.

The digital future of agriculture

How might we use data and digital technology to make agriculture more sustainable, more ethical, and more efficient?

Eligibility: Must use at least one open dataset.

Go to Challenge | 16 teams have entered this challenge.

Transport - Transitioning to COVID-Normal

How do we better understand the transport options available to support people getting back to work and school as we transition to COVID-Normal, as well as learn more about impacts and opportunities for the broader transport system and associated services (logistics, freight, parking, infrastructure etc)?

Eligibility: Participants must use one or more datasets from Data.Vic.

Go to Challenge | 7 teams have entered this challenge.

Water information without borders

How do we better bring together information about our water systems across states borders?

Go to Challenge | 8 teams have entered this challenge.

Australia (National) Challenges

Create a solution to a customer need using the ABS Data API

We are excited to provide innovators with machine to machine access to ABS Data and see what exciting customer solutions can be created. Here is a chance to draw in ABS Data and answer an important question through visualisation, mapping or even blending with other data sources. Create a solution to a customer need using data drawn from the ABS Data API.

Eligibility: Teams are encouraged to use datasets from a variety of sources, but at least one must be drawn from the ABS Data API.

Go to Challenge | 20 teams have entered this challenge.

Exploring the National Skills Commission’s Australian Skills Classification

How can the general public learn about and be encouraged to interact with the Australian Skills Classification to identify skills within occupations, identify their own skillsets and identify transferability to other occupations of interest?

Eligibility: Participants must use the Australian Skills Classification dataset.

Go to Challenge | 25 teams have entered this challenge.

IoT insights for better regional agribusiness at scale

How might we harness open data and IoT insights in near-real-time to enable local agribusiness and farms in our regions be more productive and sustainable at scale? How can we share private IoT data and regional open data for an overall more productive and sustainable agribusiness?

Go to Challenge | 13 teams have entered this challenge.

Our financial future

How might we use publicly available data to safeguard citizens’ financial future?

Go to Challenge | 11 teams have entered this challenge.

Reimagining Digital Government Services

How can we re-imagine digital government services in Australia to enable a seamless experience for people of all abilities.

Eligibility: Must use at least one open dataset.

Go to Challenge | 26 teams have entered this challenge.

Youth education and employment

How might we use publicly available data to identify education and employment opportunities for our youth?

Go to Challenge | 25 teams have entered this challenge.

International Challenges

Hack for a Circular Economy

In order to build a more sustainable community, how might we redesign, rethink, repair and repurpose spaces, places, materials, and digital infrastructure, systems and policies within cities in order to progress social, natural and economic development?

Eligibility: Must use at least one open dataset.

Go to Challenge | 14 teams have entered this challenge.

Health and wellbeing of autistic people during a pandemic

The COVID-19 pandemic has negatively impacted the mental health of people all around the world. Studies suggest that there is likely to be a much greater impact for people with autism spectrum disorder, as the pandemic directly affects social functioning and everyday routines.

Eligibility: At least one open dataset must be utilised.

Go to Challenge | 9 teams have entered this challenge.

Living in a post-pandemic world

How can we use real-time data to assist with the preparation and ongoing management of living with Covid-19 as we progress towards a post-pandemic Australia and New Zealand?

Eligibility: Contestants should use Confluent as part of their solution and the CRISPER dataset as part of their solution.

Go to Challenge | 13 teams have entered this challenge.

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