The goal of this 2014 challenge series was to develop a model, based on data provided by the U.S. Environmental Protection Agency, to quantitatively predict a chemical’s systemic Lowest Effect Level (LEL) in a traditional animal toxicity study. The systemic LEL is the lowest dose that shows adverse effects in these animal toxicity tests.... Read more about EPA ToxCast​​​​​​​ Predication Challenge

The goal of this series of challenges, conducted from August 2013 to January 2015, was to predict the locations and times that the cyanobacteria bloom to occur. Algae are natural components of marine and freshwater flora performing many roles that... Read more about EPA Cyanobacteria Predictive Modeling and Mobile App Challenge

In 2013, USAID and Humanity United tasked competitors to develop an algorithm to predict where and when atrocities would happen in the near future — within the next 30 days — based on the atrocity pre-history from the Political Instability Task Force Data and sociopolitical activities from Global Database of Events, Language, and Tone (see the problem statement). In all, 93 competitors... Read more about Tech Challenge for Atrocity Prevention

Sponsored by CoECI in 2016-2017, this series of challenges was to develop an algorithm to help identify and react to illegal, unreported, and unregulated fishing (IUU) (see the problem statement for contest 1; problem statement for contest 2). The first contest drew in 77 competitors who submitted 1,206 submissions while competing for $18,000 in prizes. The top five competitors submitted... Read more about Fishing for Fishermen

As a part of the NASA Asteroid Grand Challenge Series, the 2014 Asteroid Tracker Challenge attempted to optimize the use of an array of radar dishes when tracking Near Earth Objects (NEO) from the time they become visible over the horizon until the point at which they cease... Read more about Asteroid Tracker Challenge

The goal of this 2013 NASA challenge conducted on Topcoder was to optimize the position of solar collectors on the International Space Station to generate as much power as possible during the most difficult orbital configurations.... Read more about International Space Station Longeron Shadowing Challenge

Working with the Lakshmi Mittal and Family South Asia Institute at Harvard University, this project aims to collect and analyze oral histories and memories of the 1947 Partition of British India with a focus on minority voices. Aspects of this project include gathering discrete historical data such as locations and descriptions of refugee camps; mapping geographical locations... Read more about Crowdsourcing Memories from the 1947 Partition of British India