Paul Resnick

[PHOTO]
Professor
University of Michigan
School of Information
314 West Hall/ 3246C SI North
Ann Arbor, MI 48109-1092
presnick@umich.edu

Research Projects |
Courses |
Interests and Activities:   professional | personal
Papers |
Bio
Blog
 

Office hours Winter 2008:  Fridays 1-5, 409 West Hall.

   Research Interests and Projects

 
Convening Technologies

I am interested in Meetup.com and other "convening technologies" that help introduce people to other and/or coordinate their convenings. In the summer of 2004, research assistants are attending Meetup events in seven cities around the U.S. (Joint project with Bob Kraut at CMU, and Bob Putnam, Rob Sampson, and Tom Sander at Harvard.) We would like to  understand who goes, what happens, and what the social capital side effects. We would also like to be able to characterize the novel technical and organizational elements that are at work and which might be recombined in different ways in different services.

RideNow: Dynamic Ride Sharing

I am interested in ride sharing services that dynamically match riders with rides.  (Joint work with Marc Smith at Microsoft and Lorrie Cranor at CMU). A paper on Impersonal SocioTechnical Capital puts the idea in context. I prepared a scenario document, in draft form, for the UTEP Symposium in winter 2003. We're planning small-scale trials in Fall 2004. An independent effort in the same vein, in the Bay Area is starting a trial on July 19, 2004.

CommunityLab: Motivating Contribution the the Public Good in On-line Communities

We are drawing on theories and data from social psychology and public goods economics to drive design decisions about on-line communities with the goal of increasing participants' contributions to the communal good. (Joint work with Bob Kraut, Sara Kiesler, Yan Chen, Loren Terveen, John Riedl, and Joe Konstan. Funded by NSF under Grant No. 0325837.) 

The first paper from this project, describing campaigns to try to encourage members of MovieLens to rate more, will be presented at the CSCW 2004 conference. As predicted by theory, individuals contributed more when they were reminded of their uniqueness and when they were given specific and moderately challenging goals, but other predictions were not borne out. In particular, a puzzling result was that reminding individuals that their ratings help either themselves or others prompted less rather than more rating.

Recommender and Reputation Systems

A reputation system gives people information about others' past performance. It can enhance an on-line interaction environment by:

  • helping people decide who to trust;
  • encouraging people to be more trustworthy;
  • discouraging those who are not trustworthy from participating.
 
Papers coming from this stream of research are listed in the papers section, below. (This project is joint work with Richard Zeckhauser. Funded by NSF under Grant No. 0308006.)

Researchers from a number of fields have taken an interest in this topic. A web site with links to people and papers provides a focal point for this nascent research network.

My remarks on the implications of recommender and reputation systems for the future of electronic publishing appear in the National Academies Press report on, "Electronic Scientific, Technical, and Medical Journal Publishing and Its Implications". 
 
 
Evaluation of Internet Filters

Filtering software cannot perfectly discriminate between allowed and forbidden content, resulting in two types of errors. First, under-blocking occurs when content is not blocked that should be restricted. Second, over-blocking occurs when content is blocked that should not have been restricted. Steps can be taken to reduce the frequency of errors, and to reduce their costs (e.g., providing easy appeals processes and quick overrides and corrections) but some errors are inevitable. Most empirical studies of error rates have suffered from methodological flaws in sample selection, classification procedures, or implementation of blocking tests. In 2002, we conducted a study for the Kaiser Family Foundation to examine the extent of over-blocking of health information and under-blocking of pornography. A paper about methods for conducting and reporting such studies will appear in the September 2004 issue of Communications of the ACM.

Courses

Winter 2008:
SI684/884: e-communities
SI631: Content Management Systems (PEP Workshop project course)
Fall 2006:
SI502 Networked Computing: Storage, Communication, and Processing (Ctools site only; no public site)
Winter 2007:
SI505: Drupal Boot Camp
SI631: Content Management Systems (PEP Workshop project course)
Fall 2006:
Recommender Systems
SI575: Community Information Corps Seminar
Winter 2006:
SI684/884: e-communities
Fall 2005:
SI540: Understanding Networked Computing  (2005 placeout information)
SI544: Statistics
Winter 2005:
SI575: Community Information Corps Seminar
SI684/884: e-communities
Fall 2004:
SI540: Understanding Networked Computing
SI644: Statistics
Fall 2003:
CMU CSCW/Online Communities course (co-taught with Bob Kraut)
Winter 2003:
SI684/884: e-communities
Fall 2002:
SI540: Understanding Networked Computing (no longer available on-line)
Winter 2002:
SI598/698: Dot.Org Incubator (Practical Engagement Workshop)
SI575: Community Information Corps Seminar
SI684: e-communities
 
Fall 2001:
SI598/698: Dot.Org Incubator (Practical Engagement Workshop)
SI540: Understanding Networked Computing (no longer available on-line)
SI575: Community Information Corps Seminar
 
Winter 2001:
SI575: Community Information Corps Seminar
Fall 2000:
SI540: Understanding Networked Computing (no longer available on-line)
SI575: Community Information Corps Seminar

Professional Interests and Activities

In 1999, I started the Community Information Corps at the University of Michigan School of Information. It brings together faculty and students who are studying how to organize information flows for community and public purposes. With support from the Packard Foundation, the Alliance for Community Technology and the Microsoft Foundation, we have offered financial assistance and professional development opportunities to alumni who pursue public interest careers. Salary supplements are also available for public interest summer internships.

Personal Interests and Activities

Music
I play the fiddle and guitar, and sing, mostly country and folk styles.
Sports
Tennis (USTA 4.0). Ultimate frisbee.

Papers

PICS Technical Specification Documents

Evans, Christopher, Feather, Clive  D. W., Hopmann, Alex, Presler-Marshall, Martin and Resnick, Paul, PICSRules 1.1 W3C, Dec. 1997.

Miller, Jim, Paul Resnick and David Singer (1996). “Rating Services and Rating Systems (and Their Machine-Readable Descriptions),” The World Wide Web Journal 1(4): 23-43. Available on-line at http://www.w3.org/pub/WWW/PICS/services.html

Krauskopf, Tim, Jim Miller, Paul Resnick and Win Treese (1996) “Label Syntax and Communication Protocols,” The World Wide Web Journal 1(4): 45-69. Available on-line at http://www.w3.org/pub/WWW/PICS/labels.html
 

  Bio

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.

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 on-line 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. 

 

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