Visualizing the Global Agenda

Visualizing the Global Agenda

The winner of the World Economic Forum Data Visualization Challenge is:

Clint Beharry, Sera Koo, Gene Lu, Yang Yang and Tina Ye



Honorable mentions were awarded to:

Nathan Yau
Global Agenda Councils Who Should Work Together
http://www.visualizing.org/visualizations/global-agenda-councils-who-should-work-together

JanWillem Tulp
World Economic Forum Global Agenda Council Interlinkage
http://www.visualizing.org/visualizations/world-economic-forum-global-agenda-council-interlinkage

Daniel McLaren
Global Agenda Councils Constellation
http://www.visualizing.org/visualizations/global-agenda-councils-constellation

Isao Matsunami
Attractions of Councils: WEF GAC Interlink Survey
http://www.visualizing.org/visualizations/attractions-councils-wef-gac-interlink-survey

Challenged with the task of visualizing the connections between the various issues driving the global agenda, the Visualizing.org community delivered some truly impressive work. Congratulations to the winners and all the designers that received honorable mentions! And thank you to our all-star design jury!

The jury awarded the top prize to Catalyzing the Global Dialogue, which will be showcased and used next week in Dubai at the World Economic Forum's Global Agenda Summit. The tool will help the 700+ thought leaders gathered for the “world’s largest brainstorm” to find common ground on issues ranging from human rights to climate change to systemic financial risk. The team of students from the School of Visual Arts in New York -- Clint Beharry, Sera Koo, Gene Lu, Yang Yang and Tina Ye -- will also receive a $3,000 cash prize from GE. Four other designers received Honorable Mentions from the jury for their outstanding work: Nathan Yau for Global Agenda Councils Who Should Work Together; Jan Willem Tulp for World Economic Forum Global Agenda Council Interlinkage; Daniel McLaren for Global Agenda Councils Constellation; and Isao Matsunami for Attraction of Councils. Congratulations to all the winners and to everyone that participated in this first data viz challenge on Visualizing.org!

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