Algorithmic Economics

Established: December 13, 2012

Research in the Algorithmic Economics group at MSR-NYC spans a wide variety of topics at the interface of economics and computation. Application areas include auctions, crowdsourcing, gaming, information aggregation, machine learning in markets, market interfaces, market makers, monetization, online advertising, optimization, polling, prediction engines, preference elicitation, scoring rules, and social media.

Increasingly, online service design teams require dual expertise in social science and computer science, adding competence in economics, sociology, and psychology to more traditionally recognized requirements like algorithms, interfaces, systems, machine learning, and optimization. Our researchers combine expertise in computer science and economics to bridge the gap between modeling human behavior and engineering web-scale systems.

We are part of the MSR-wide economics and computation research area.

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Computational Game Theory

Established: December 5, 2005

Overview We study several problems related to game theory. These problems are motivated by e-commerce applications and applications of game theory to computer system and network design. In mechanism design, we aim to develop mechanisms with useful properties which optimize…