Tasmania

Trading on Reality

The real cost to society
Team Name: 
ALIEN PROBE

What if we had a system, whereby, it was the responsability of each individual, to allocate their "tax" dollars, and to choose where these dollars are to be invested, how much to allocate to such things as education, health and sciences, versus say that of defense expendature, or corporate bailouts. A world where collectively, we invested as much time as understanding our own systems and investing and shaping our future, as we did posting images of cats wearing watermelon helmets...

Building Chocks of Tasmania

Team Name: 
Chocolate Moulding Dept., Hobart Hackespace

The tastiest data visualisation you'll see all day!

Our project aims to produce tasty chocolate treats of parts of Tasmania.

Tasmanian Crash Hotspots

Overview of the project results
Team Name: 
MapMap

Tasmanian Crash Hotspots

Where do accidents happen a lot? What are the roads like in those areas? Is there a link?

There is a dataset of car crashes all over Tasmania, but it doesn't tell a story. Perhaps if we look at where the crashes are happening in terms of the piece of road that the occur on, we'll be able to identify problem intersections, or stretches of road, and better plan upgrades and mitigation efforts.

AirCondor

Team Name: 
Team GoshAwks

After much deliberation, and many blocked turns, our team finally nailed down a plan to develop an air conditioner recommendation application late on Saturday night. 

To do this, we collated the air conditioner cooling data and energy rating for air conditioners datasets. 

AirRankings

en pleine air
Team Name: 
ASDFG

Local, national and international (eventually) air quality rankings with daily, monthly and yearly winners.

The system is built on top of the Meteor web framework, using React templating and deployed on the Nectar cloud using a Docker container. 

Near realtime data is pulled from various Environmental Protection Agency APIs in various formats and structures (CSV, XML etc.) and normalised into a common format which is then stored in a MongoDB datasbase.

Polar Politico Fantastico

Team Name: 
Settlers Redux

Using Hansard history data on attendance and voting outcomes the project aims to create a gravity weighted graph to show how far apart and/or closely together individual MPs and parties vote on policy.

Check out our Progress Blog!:

http://govhack2015.scriptforge.org/category/polar-app/

Take Me There Gov!

Team Name: 
Team Interrupt

Take me there Gov is a location based Web application. It pulls relevant news articles for you based on your location. 

We chose to build to show people where exactly there news is coming from. 

We have used the ABC online photo archive in this web app.

The web application is created with design in mind and satifisy both the ABC dataset used and design awards.

Memory Lane

Team Name: 
Dueling Beards

We chose the ABC broadcast data as we felt it was a data set that most people could relate to. Who hasn't spend an afternoon watching ABC?

Using our app users can pick a year and a state and get the most played shows between 3pm and 7pm. We use third party apis like thetvdb and youtube to give some interesting data about the show. 
 

Question Time: A game of policy

Question Time: A game of policy
Team Name: 
Team Executive Swivel

Visit the website for more information and our video: http://www.secretlab.com.au/govhack2015

  • Does anyone really remember how their representatives vote in parliament?

  • Probably not.

  • Despite the existence of powerful web-based tools, like TheyVoteForYou and ABC’s Vote Compass, people often don’t know how their representatives are directing their votes.

Drains and Dragons

Drains & Dragons
Team Name: 
Drains and Dragons

Drains-and-dungeons

A mobile augmented reality game using local government datasets to create a simple 'Dungeons and Dragons' hack and slash fest.  This is about raising awareness of bins as public assets.

Game Play

Connect to the game on your mobile device. As you walk around your area you will notice 'points of interest' appear on the map. Clicking on one of these will reveal the monster lurking at that point. What you do then is up to you (Fight, Flee or Find out more)

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