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Algorithmic Economics

We are seeking outstanding applicants for a postdoctoral researcher position. Click here for the call.

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.

Publications
People
Sébastien Lahaie
Sébastien Lahaie

David Pennock
David Pennock

Justin Rao
Justin Rao

David Rothschild
David Rothschild

Alex Slivkins
Alex Slivkins

Vasilis Syrgkanis
Vasilis Syrgkanis

Jenn Wortman Vaughan
Jenn Wortman Vaughan