Team Name:
Happy Goats
Team Members:
Happy Goats
CrowdQuests is a game which has quests and missions to encourage physical activity and learning about points of interests. The quests are designed for:
* Learning about locations
* Crowdsourcing data updates
* Crowdsourcing new information
* Knowledge about problems
* Encouraging certain behaviours
CrowdQuests can be used by councils, agencies and corporations to crowdsource data and geospatial audits through a game interface. The game engine uses predictive user behaviour to encourage increased activity and usage. Challenges and missions can be submitted along with data sets.
We are aware we are not eligible for prizes/awards but are keen to help your agency crowdsource data audits and/or change behaviour through a game
Google Slides Presentation Deck: https://docs.google.com/presentation/d/1OGvhWiLIrx4YfrIvqu7yRJWH4hc3WvL1cVVN6ckPSHI/edit?usp=sharing
We have used a bunch of data from Launceston City Council (and can do the same from Hobart City Council) to load up a base layer on our map. It provides the opportunity for players to update details about what is shown on the map based on Quests that will be promoted to users based on their location and demographic. The demographic data and behaviours are preloaded into our algorithms to provide better Quest suggestions. Data from ABS and G-NAF and various other jurisdictions were used to work this out.
New data provided by players will be then reported to the relevant jurisdictions.
Photos taken would be processed by CrowdQuests servers using image recognition to produce rich meta data (including geotagging).
Description of Use Understand Kingston Council area and what customers like or need to understand better about the council's good work
Description of Use Bunch of data from QLD data hubs for use as either quests of understanding demographics to provide better quests or routing
Description of Use For use understanding safety and demographics
Description of Use For Quirky Canberra we are creating some quests to get people to go to visit quirky canberra and discover more! To do this we grabbed data about different spaces to send them there.
Description of Use To understand the demographics of players based on location
Description of Use for use understanding demographics
Description of Use For use in a Quest
Description of Use For use as a Quest
Description of Use For use in Quests
Description of Use For use in a quest
Description of Use For use in Quests
Description of Use for use in a Quest
Description of Use To get some coverage into Somerset for Richard to do some testing!
Go to Challenge | 19 teams have entered this challenge.
Eligibility: Use the National Health Services Directory and at least one other data source
Go to Challenge | 5 teams have entered this challenge.
Eligibility: Must use at least one dataset from dataACT
Go to Challenge | 8 teams have entered this challenge.
Eligibility: This challenge will award a prize to the best pitch that combines two or more NSW spatial datasets in a proposal that delivers value to the people of NSW.
Go to Challenge | 14 teams have entered this challenge.
Eligibility: Must use at least one Sunshine Coast region data set.
Go to Challenge | 14 teams have entered this challenge.
Eligibility: The winning entry must use international data to address the challenge of a national award
Go to Challenge | 15 teams have entered this challenge.
Eligibility: Use at least two data sets (at least one from data.gov.au) to help government make a decision that will improve services for people. Any code produced for your entry must be published on github under an open license. If your entry is not software, you will need to show the working behind your use of data along with any calculations and analysis you did. You must indicate which specific government agency (at any level of government) can take action based on your entry.
Go to Challenge | 58 teams have entered this challenge.
Eligibility: Must use GNAF
Go to Challenge | 21 teams have entered this challenge.
Go to Challenge | 34 teams have entered this challenge.
Go to Challenge | 28 teams have entered this challenge.
