Paul Resnick is a professor at the School of Information and coordinator of the Social Computing specialization of the Master of Science in Information program.
Resnick previously worked as a researcher at AT&T Labs and AT&T Bell Labs, and as an assistant professor at the MIT Sloan School of Management. He received the master's and Ph.D. degrees in electrical engineering and computer science from MIT, and a bachelor's degree in mathematics from the University of Michigan.
Professor Resnick's research focuses on SocioTechnical Capital, productive social relations that are enabled by the ongoing use of information and communication technology. His current projects include analyzing and designing reputation systems, ride share coordination services, and applying principles from economics and social psychology to the design of online communities.
Resnick was a pioneer in the field of recommender systems (sometimes called collaborative filtering or social filtering). Recommender systems guide people to interesting materials based on recommendations from other people. His articles have appeared in Scientific American, Wired, Communications of the ACM, The American Economic Review, Management Science, and many other publications.
- Recommending software modules
- IGERT: Incentive-Centered Design for Information and Communication Systems
- BALANCE: Enhancing Diversity in News and Opinion Aggregators
- Public Displays at the School of Information