Nisarg Shah has been named the recipient of the 2016 Victor Lesser Distinguished Dissertation Award for “Optimal Social Decision Making”. Sponsored by the International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), the award will be presented at the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017) in São Paulo, Brazil, May 8-12.
The award selection is based on the originality, significance, and impact of the work. Shah is a graduate of Carnegie Mellon University (2016) and is currently a postdoctoral fellow at the Center for Research on Computation and Society (CRCS) at Harvard University. He will join the Department of Computer Science as an Assistant Professor this August 2017.
Shah’s broad research agenda in algorithmic economics includes topics such as computational social choice, fair division, game theory (both cooperative and non-cooperative) and prediction markets.
Shah will give an invited talk at AAMAS 2017, addressing how computers can help ordinary people make collective decisions about real-life dilemmas, such as which restaurant to go to with friends, or even how to divide an inheritance. He will present an optimization-driven approach that draws on ideas from AI, theoretical computer science, and economic theory, and illustrate it through his research in computational social choice and computational fair division. In both areas, he will make an effort to demonstrate how fundamental theoretical questions underlie the design and implementation of deployed services — Spliddit.org and RoboVote.org — that are already used by more than a hundred thousand people.
Shah is previously the recipient of the 2013-14 Hima and Jive Graduate Fellowship and the 2014-15 Facebook Fellowship.