Sociologists and data miners come together to advance social computing

(from here) From: Gregory Piatetsky-Shapiro; SBP09 Second Workshop on Social Computing, Behavioral Modeling, and Prediction

  • keynote presentation by Phillip Bonacich (UCLA, Emeritus), about Power and Exploitation in Exchange Networks: A Social-Psychological Model.
  • Mary Lou Maher (NSF) talked about Research Challenges for Computationally Enabled Social and Collective Intelligence.She gave a number of collective intelligence examples, including open source systems, recommender systems, search engines, and Wikipedia.
  • William H. Batchelder, a leading expert on psychology and social sciences, talked about Cultural Consensus Theory, which is an approach to pooling information from different sources.Batchelder showed that a social network model, with a good deal of math, a Bayesian formulation and MCMC methods, can be used to estimate the consensus answers.
  • Shade Shutters (ASU) talked about Punishment, Rational Expectations, and Relative Payoffs.
  • Many posters were presented during a workshop dinner the first night 
  • On the second workshop day, Alex Penland from MIT Media Lab gave a keynote talk on Reality Mining: From Profiles and Demographics to Behavior .Dr. Penland is very sensitive to privacy issues and says these sensors should not be used to spy on employees. He suggests that deployment should be on voluntary data with individuals owning the data and have the opportunity to review their data each day. Learning can be done effectively from anonymized profiles. Dr. Penland company Sense Networks is now commercializing these applications in macrosense™ and Citysense™

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