Time Critical Social Mobilization: The DARPA Network Challenge Winning Strategy
Galen Pickard, Iyad Rahwan, Wei Pan, Manuel Cebrian, Riley Crane,, Anmol Madan, and Alex Pentland

TL;DR
This paper analyzes the winning strategy of the DARPA Network Challenge, highlighting a recursive incentive mechanism that enabled rapid, large-scale social mobilization to locate balloons within nine hours.
Contribution
It introduces a novel recursive incentive mechanism and provides analysis and data on its effectiveness in a large-scale, time-critical social mobilization task.
Findings
The mechanism successfully found all balloons in under nine hours.
Theoretical analysis shows the mechanism's incentive compatibility.
Empirical data demonstrates rapid and effective mobilization.
Abstract
It is now commonplace to see the Web as a platform that can harness the collective abilities of large numbers of people to accomplish tasks with unprecedented speed, accuracy and scale. To push this idea to its limit, DARPA launched its Network Challenge, which aimed to "explore the roles the Internet and social networking play in the timely communication, wide-area team-building, and urgent mobilization required to solve broad-scope, time-critical problems." The challenge required teams to provide coordinates of ten red weather balloons placed at different locations in the continental United States. This large-scale mobilization required the ability to spread information about the tasks widely and quickly, and to incentivize individuals to act. We report on the winning team's strategy, which utilized a novel recursive incentive mechanism to find all balloons in under nine hours. We…
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