Community Disaster Challenge
How might we understand what makes communities strong in disasters?
Go to Challenge | 4 teams have entered this challenge.
Our Place
Project Info
Team Name
The Casuals
Team Members
2 members with unpublished profiles.
Project Description
Our Place is a virtual mural that has been created with data collated from various data sets. The aim is to create a reflection of individual community issues such as homelessness, littering, air pollution and even the possibility of disasters and the communities resilience can be displayed.
The website uses post code to search for data and show it through the display. The display was created in mind of using billboards around the cities and communities to promote knowledge of issues and raise awareness. The website fetches the live data feed to make sure the project is constantly up to date so that the community can see the changes they make.
NOTE:
We focused on mashing up multiple data sets and the assets to display those metrics to showcase our vision, over getting the proof of concept website working end to end on a server (especially given it is an optional element and we had no funds to host a website) this resulted in the code base containing all the assets and data pooling systems required but not a polished fully functional site, shortcuts where taken.
Data Story
We use the number of litter items in Queensland data set to show the community the state of the issue around their community. The digital mural reflects the amount of litter through images, this is done by grabbing the litter items per 1000sqm data, we would have loved this to be broken down into smaller regions but we still feel it is relevant to each community.
We use the disaster data set "Queensland resilience" to reflect how the community bounces back from natural disasters such as floods, bush fires and cyclones.
The Sunny Coast data set "Community markets" is used to show when Markets are held by showing several tents on the mural.
We use the science data set of air quality monitoring represented by the smog in the background of our mural. We do this by polling the live data feed.
The AIHW data set is used to show homeless figures throughout the different states. This is represented by figures sleeping through the park in the mural, we struggled with this data set due to the format.
The weather data set was used to make the mural more relate-able to the community, it was represented by different weather graphics.
Team DataSets
This team does not currently have any datasets.
Challenge Entries
Sunshine Coast Sustainability
How can we preserve our great Sunshine Coast for the next generation?
Go to Challenge | 12 teams have entered this challenge.
Bounty: Making open data more open.
How can open data be presented on search.data.gov.au to make it easier and friendlier to use? Does this mean making it more similar to using standard search engines, like Google, or something else entirely?
Go to Challenge | 34 teams have entered this challenge.
Connected Communities Challenge
How can we help older Queenslanders to stay connected to the community to continue to live a fulfilling life?
Go to Challenge | 8 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.
Bounty: Integrating AIHW
How can we integrate AIHW and other data sources in interesting ways?
Go to Challenge | 28 teams have entered this challenge.
Litter Challenge
How might we prevent littering of fast food packaging?
Go to Challenge | 16 teams have entered this challenge.
Healthy Communities Challenge
How might we assist councils to build healthier and stronger communities?
Go to Challenge | 49 teams have entered this challenge.
Bounty: Mix and Mashup
How can we combine the uncombinable?
Go to Challenge | 61 teams have entered this challenge.
Science Data Challenge
How might we make discovering and understanding scientific data for a location possible?
Go to Challenge | 9 teams have entered this challenge.