• Prediction Engines
  Research around information aggregation and prediction, including polls, probability elicitation, and prediction markets.These methods, broadly defined as wisdom of the crowds, are utilized for a range of outcomes: elections, marketing, internal corporate, military intelligence, etc. We demonstrate some serious advances. (1) Combinatorial Prediction Markets: frontend, backened, and unique questions. (2) Experimental Prediction Markets and Polling. (3) Forecasts, Sentiment, and Data Analytics
• Crowdsourcing Contests
  We introduced a game-theoretic framework for crowdsourcing systems.
• Social Algorithms at MSR-SVC
  This is an umbrella project for several related efforts at Microsoft Research Silicon Valley in the areas of social network analysis and human computation.
• Research Games
  The goal of this project is to build a platform for research in behavioural game theory on social networking sites which will enable experiments of unprecedented scale, resolution, interactivity and social embedding. We aim at testing the behaviour of real people in game theoretic interactions in social networks. How do people negotiate with one another? How can we aggregate opinions of individuals to arrive at high-quality decisions? In what ways do people reciprocate other people’s actions?

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