
To start, choose a theme (or two), and at least one data set, and find a novel and illuminating way of representing them. This could take the form of dynamic data visualization, a print graphic, a real-world intervention, or some other inventive form. The key is to create a greater understanding through clear and inventive design.
You may choose from one of the data sets listed below, or may locate one on our own. If you choose your own data set, you are required to provide a link to that information as part of your submission.
Keep in mind that we are employing a fairly open definition of eco-visualization. We encourage both traditional data visualization alongside works that use different means than a graph or chart.
We are interested in inciting artists, scientists, designers, and engineers to move data from the spreadsheet into the world. The world is architecture, the world is the Internet, the world is urban streets, and the world is trees and dirt.
The deadline for Eco-Vis Challenge 2 is 8 December 2007. Submissions must be received by 23:59 to qualify.
Possible themes
Greenhouse gases
Global warming
Water
Oil (production, consumption, cost)
Coal
Transportation
Waste
Recycling
Food (organic, fast food, GMO's)
Nuclear Energy and Waste
Alternative Energy
Natural Disasters
Weather
Migration
Extinction (species, natural resources, languages)
Policy
Politics
Voting (election, candidates)
Packaging and Manufacturing
Shipping (trucks and boats)
Dates and deadlines
15 September 2007 Competition registration opens online at http://eyebeam.org/production/onlineapp/
08 November 2007 The Upgrade! presents Eco-Vis Challenge Critique, at Eyebeam, 7PM
08 December 2007 Submission deadline for Eco-Vis Challenge 2: Eco-Visualization
13 December 2007 Eyebeam Sustainability exhibition opens
19 December 2007 Eco-Visualization results announced
10 January 2008 Part two of Eyebeam exhibition opens: Eco-Visualization on display
26 January 2008 Close of both Eyebeam sustainability exhibitions
Program Survey
1. Why did you choose to work with this particular data set, and what response or action do you hope your project will inspire (1000 characters max, including spaces)?
2. How did you learn about the Eco-Vis Challenge?
3. Provide a link(s) to your chosen data set(s)