Science Data Challenge
How might we make discovering and understanding scientific data for a location possible?
Eligibility: Must use Queensland Government Science APIs
Go to Challenge | 9 teams have entered this challenge.
HackGladstone
Community solution that reduces litter, creates healthier communities and increases regional development.
How might we help prevent littering especially fast food litter and how can we help promote healthier and stronger communities around Queensland?
We reviewed the data collected and analysed to find the most appropriate course of action. Some of the information interpreted from the data were; that littering was largely going down in Australia, Queensland was the only state that had a regression in "Plastics", Although the premise largely focussed on "Fast Food" litter, we cannot find enough data to help formulate a definitive plan to address the problem.
Some of the analysis we did focused on related possible reasons for the apparent deficit in improvement in Queensland. We compared the population growth, tourism rates, industry growth against the littering rates data. Although some areas suggested a correlation, causation was not apparent.
Talking with local community caretaker from his observations when cleaning up was that cigarette butts and glassware was still a major problem, this matched the data from our analysis.
We also wanted to review the data for healthier communities, when it comes to mental and social health in the community most of the data appeared representative of the most severe forms of health problems. Identifying/preventing social isolation would be a good start to address these issues before they become severe.
The paramount issue we encountered was a lack of data resolution to help make clear decisions moving forward but believe this solution will be a sustainable solution.
Interactive map: https://sleeples.love/govhack
App prototype: https://marvelapp.com/9fdb1j7/screen/47640001
Description of Use Used to analyse the correlation between population growth and littering.
Description of Use Used as to analyse the correlation between industry growth and litter.
Description of Use Used to create time series charts to identify where litter is being generated.
Description of Use Used to create time series charts to identify types of litter.
Description of Use Used to cross reference if any similarities between littering rates and increased human presence.
Description of Use Used to cross reference if any similarities between littering rates and increased human presence.
Description of Use Used to identify types of litter by locality.
Eligibility: Must use Queensland Government Science APIs
Go to Challenge | 9 teams have entered this challenge.
Go to Challenge | 7 teams have entered this challenge.
Go to Challenge | 49 teams have entered this challenge.
Go to Challenge | 11 teams have entered this challenge.
Go to Challenge | 16 teams have entered this challenge.
Go to Challenge | 35 teams have entered this challenge.
Go to Challenge | 9 teams have entered this challenge.
Go to Challenge | 12 teams have entered this challenge.