What is Harvard-NTL?

The Harvard-NASA Tournament Lab (NTL) is housed at Harvard University's Institute of Quantitative Social Science under the leadership of Professor Karim R. Lakhani, who specializes in distributed innovation and crowd sourcing at the Harvard Business School. Dr. Lakhani will be working with London Business School Professor Kevin Boudreau, Ph.D., an expert on platform-based competition and chief economist for the NTL.

The purpose of the lab is to design and field a competition to create the best computer code for NASA systems. Software developers compete with each other for the prize and, upon completion of the competition, a finished software package will be delivered at a comparatively low cost. This approach is often referred to as "crowd sourcing" and, with the creation of the Harvard-NTL, Lakhani, Boudreau, and others are able to conduct research into the optimal design parameters for innovation competitions of this type, facilitating the use of these tournaments within the public and private sectors. The Harvard-NTL also supports contests for Health and Human Services, Office of Personnel Management, USAID, Environmental Protection Agency, and the Department of Energy.

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Asteroid Data Hunter Challenge

NASA's Asteroid Data Hunter

Harvard-NTL is proud to announce a joint challenge with NASA, Planetary Resources, and topcoder in the first of many prized-based algorithm tournaments that will help citizen scientists find and track near earth objects such as asteroids. This challenge tasks competitors to develop a significantly improved algorithm to identify asteroids in images from ground-based telescopes. The winning solution will increase the detection sensitivity, minimize the number of false positives, ignore imperfections in the data, and run effectively on all computers Asteroids pose both a possible threat and an opportunity for Earth: they could impact us, causing damage, OR possibly be mined for resources that could help extend our ability to explore the universe. - See more at: http://www.topcoder.com/asteroids/asteroiddatahunter

Collective Minds and Machines Challenge (Searching Genghis Khan)

Collective Minds and Machine Learning Exploration Challenge - NASA, UCSD, Harvard and TopCoder

The Harvard-NASA Tournament Lab and Dr. Albert Lin, National Geographic Emerging Explorer and UC San Diego Research Scientist are proud to announce the launch of the "Collective Minds & Machines Exploration Challenge." This $15,000 challenge uses satellite imagery of the region of the lost tomb of Genghis Khan to develop an active, machine-learning algorithm that matches human capability. For more information, visit www.topcoder.com/collectiveminds

Description: 

The Harvard-NASA Tournament Lab and Dr. Albert Lin, National Geographic Emerging Explorer and UC San Diego Research Scientist are proud to announce the launch of the "Collective Minds & Machines Exploration Challenge." This $15,000 challenge uses satellite imagery of the region of the lost tomb of Genghis Khan to develop an active, machine-learning algorithm that matches human capability. For more information, visit www.topcoder.com/collectiveminds

Tech Challenge for Atrocity Prevention

Tech Challenge for Atrocity Prevention

USAID is partnered with Humanity United for the Tech Challenge for Atrocity Prevention in support of President Barack Obama’s strategy for preventing mass atrocities. The Tech Challenge encourages individuals from all backgrounds to bring new perspectives to the problems surrounding atrocity prevention and to support the President’s vision of ‘never again.' The goal of this challenge is to develop an algorithm to predict where and when atrocities will occur in the near future, based on sociopolitical indicators from around the world and data on past atrocities For more information, visit: http://www.topcoder.com/techchallenge/

Description: 

USAID is partnered with Humanity United for the Tech Challenge for Atrocity Prevention in support of President Barack Obama’s strategy for preventing mass atrocities. The Tech Challenge encourages individuals from all backgrounds to bring new perspectives to the problems surrounding atrocity prevention and to support the President’s vision of ‘never again.' The goal of this challenge is to develop an algorithm to predict where and when atrocities will occur in the near future, based on sociopolitical indicators from around the world and data on past atrocities For more information, visit: http://www.topcoder.com/techchallenge/