Algorithmic Economics

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.