I am interested in both the computational processes underlying human judgment and decision making, and applying our knowledge about such processes to issues in marketing. I use a combination of behavioral experiments and formal modeling, drawing on ideas from psychology, economics, marketing, Bayesian statistics, and computer science. Much of my current research focuses on the problem of aggregating judgments from many people, including in situations where the majority may be wrong and the truth may be unverifiable. I work on computational methods for solving this problem, and psychological questions inspired by these methods. Examples of current projects in this direction include work with professionals and lay-people predicting the market price of art, aggregating consumer surveys to predict intent-to-purchase for novel electronics, and combining the predictions of experts making geopolitical and economic forecasts.
© 2013 MIT Sloan Neuroeconomics Lab