NYCE 2012 is the fifth annual New York Computer Science & Economics (NYCE) day. The goal of the meeting is to bring together researchers in the larger New York metropolitan area with interests in computer science, economics, marketing, and business, and with a common focus on understanding and developing the economics of Internet activity. Topics of interest to the NYCE community include (but are not limited to) theoretical, modeling, algorithmic, and empirical work on advertising and marketing based on search, user-generated content, or social networks, and other means of monetizing the Internet.
This year, our organizing theme will be the economics of big data, information, and privacy. Buoyed by internet-scale services and the arrival of big data, in recent years information itself has become a valuable commodity. But as a commodity, it has certain properties that distinguish it from the goods of classical economic theory. It can be copied at no cost, not only by the seller, but by the buyers as well. Agents' costs for information may be rooted in privacy concerns, which requires new definitions, and may be a function not only of the outcome chosen by a mechanism, but of the process by which the mechanism chooses an outcome itself. And because of the scale of cloud-sized data, computational efficiency becomes a first-order design constraint. These topics have begun to be studied very recently, and this workshop will foster this study by bringing together researchers approaching this problem from different fields and different perspectives, with the goal of developing a better high level understanding of these issues, and to encourage new collaborations.
Date / Location
NYCE 2012 will be held at the Simons Foundation on Monday, December 3rd, from 9:00 a.m. to 5:00 p.m.
Registration / Call for Presentations
Advance registration (free!) is now open; we also invite student presentations of posters and short talks.
NYCE 2012 is generously hosted by the Simons Foundation. The organizing committee comprises: Dirk Bergemann (Yale University), Sham Kakade (Microsoft Research), Nitish Korula (Google Research), and Aaron Roth (University of Pennsylvania).