Bounty: Integrating AIHW
How can we integrate AIHW and other data sources in interesting ways?
Go to Challenge | 28 teams have entered this challenge.
Team Name:
Team TeamTeam
Team Members:
Bubbles
Project Info
Team Name
Team TeamTeam
Team Members
Brad and 5 other members with unpublished profiles.
Project Description
Bubbles creates algorithmically generated, data driven narratives to pop the information and empathy bubbles that exist within today’s digital, atomised society by generating interactive, game-ified, empathy creating narratives.
Data Story
Bubbles uses ABS SA2 census data, AIHW health data and ASFA insolvency data to create algorithmic narratives connecting various “information bubbled” demographics. For example, we use the AIHW and ABS data to generate a data-driven story connecting young Australians to old Australians. Our example story starts at the macro view of the issue, informing the example youth user about statistics for their demographic and then informing them about similar statistics for the target older demographic. This is intended to generate empathy around the target demographic.
Team DataSets
Cause of Non-Business Related Personal Insolvency
Description of Use Information from this data set was used in our demonstration of our concept, specifically in regards to demonstrating how the Chatbot could be used by different government agencies.
Ages of Insolvent Debtors
Description of Use Information from this data set was used in our demonstration of our concept, specifically in regards to demonstrating how the Chatbot could be used by different government agencies.
Australian Demographic Statistics, Jun 2016
Description of Use Information from this data set was used in our demonstration of our concept in regards to population statistics and the ageing population.
People's Care Needs in Aged Care
Description of Use Information from this data set was used in our demonstration of our concept, specifically the percentage of people in residential aged care who had the diagnosis of depression.
Mental and Behavioural Conditions
Description of Use Information from this data set was used in our demonstration of our concept, specifically the statistics in regards to rates of depression/depressed thoughts separated into age groups.
Randwick: Five Year Age Groups
Description of Use Information from this data set was used in our demonstration of our concept, specifically the population data separated into age groups.
Aged Care Data Snapshot
Description of Use Information from this data set was used in our demonstration of our concept, specifically the population of Australian's by age and state.
Challenge Entries
Bounty: Is seeing truely believing?
How can we tell a story with visualisations, that speaks the truest representation of our data?
Go to Challenge | 28 teams have entered this challenge.
What do you want from government data challenge?
How should NSW government best provide data to the developer community? Show how our data can be made more usable for developers. What quality or format or standardisation issues does government need to fix or to consider? What developer community needs does the government need to support better?
Go to Challenge | 13 teams have entered this challenge.
Transforming Ultimo
How can Ultimo transform sustainably into an entrepreneurial/innovation precinct? How can we determine what support entrepreneurs need to succeed?
Go to Challenge | 4 teams have entered this challenge.
To bankruptcy or not to bankruptcy, keeping the process real.
Helping predict non-compliance in the personal insolvency system. How can Artificial Intelligence and Machine Learning assist us in the future?
Go to Challenge | 13 teams have entered this challenge.
Bounty: Mix and Mashup
How can we combine the uncombinable?
Go to Challenge | 61 teams have entered this challenge.
Data4Good
How can open data be used to make a social impact, contributing to the betterment of society? How can we improve prospects for children, and education, using open data? What sort of impact can be made on homelessness, mental health outcomes, or the environment, using open data?
Go to Challenge | 19 teams have entered this challenge.
Chatbots are the Future
How can we effectively engage with open data using Chatbots?
Go to Challenge | 11 teams have entered this challenge.
Australians' stories
What meaningful ways can we tell the story about what it's like to be an Australian, and in what ways some Australians live very different lives than others? How can we make people more aware of the issues facing themselves and others as they go through life?
Go to Challenge | 34 teams have entered this challenge.