Computing That Serves

Healthier Together: Social Approaches to Health and Wellness


Thursday, October 18, 2012 - 12:00pm


Paul Resnick

Professor at the University of Michigan School of Information


Christophe Giraud-Carrier

Colloquium in 1170 TMCB

Many recent applications involve tracking and sharing health-related states and behaviors. Such applications can help people make judgments about medicines and treatments to try, and can provide inspiration, accountability, and support for behavior change.


Paul Resnick is a Professor at the University of Michigan School of Information. He 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.

His research focuses on SocioTechnical Capital, productive social relations that are enabled by the ongoing use of information and communication technology. His current projects include making recommender systems resistant to manipulation through rater reputations, nudging people toward politically balanced news consumption and health behavior change, and crowdsourcing fact-correction on the Internet.

He 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.  The GroupLens system he helped develop was awarded the 2010 ACM Software Systems Award. His articles have appeared in Scientific American, Wired, Communications of the ACM, The American Economic Review, Management Science, and many other venues.  He co-authored, with Robert Kraut, a 2012 book titled “Building Successful Online Communities: Evidence-based Social Design”.

His blog on social approaches to health and wellness can be found