|
Research Area: Econ and Social Sys |
Profile
David Pennock is a Principal Research Scientist at Yahoo! Research in New York City, where he leads a group focused on algorithmic economics. He has over fifty academic publications relating to electronic commerce and the web, including papers in PNAS, Science, IEEE Computer, Theoretical Computer Science, AAAI, EC, and WWW. He has given over thirty talks and authored one patent and ten patent applications. In 2005, he was named to MIT Technology Review's list of 35 top technology innovators under age 35. Pennock is one of a growing vanguard of computer scientists and economists working together to investigate the role of computation in economic theory and to design and build the marketplaces of the digital age. One of his primary areas of expertise is the design and analysis of prediction markets.
Prior to joining Yahoo!, Pennock worked at NEC Research and Microsoft Research, and served as an Adjunct Assistant Professor at Pennsylvania State University. Pennock has served as a reviewer or organizer for a number of academic journals, conferences, and workshops. He received a B.S. in Physics from Duke University, an M.S. in Computer Science from Duke, and a Ph.D. in Computer Science from the University of Michigan. Reports of Pennock's research have appeared in Time, Discover, New Scientist, the Economist, and CNN.
Recent Publications, Projects and News
- Pricing Combinatorial Markets for Tournaments Yiling Chen; Sharad Goel; David Pennock, 40th ACM Symposium on Theory of Computing (STOC 2008), 2008
- Revenue Analysis of a Family of Ranking Rules for Keyword Auctions Sebastien Lahaie; David M. Pennock, ACM Conference on Electronic Commerce (EC), 2007 [view abstract]
- Bluffing and Strategic Reticence in Prediction Markets Chen, Yiling ; Reeves, Daniel M. ; Pennock, David M. ; Hanson, Robin D. ; Fortnow, Lance; Gonen, Rica, Workshop on Internet and Network Economics, 2007
- Applying collaborative filtering techniques to movie search for better ranking and browsing Sueng-Taek Park; David Pennock, ACM Conference on Knowledge Discovery and Data Mining, 2007

