Press Release and 
podcast -- Yahoo Answers users seek advice, opinion, as well as expertise in research by Mark Ackerman, Lada Adamic and STIET fellow Eytan Bakshy Press Release -- Bluffing in prediction markets research by Rahul Sami and STIET fellow, Stanko Dimitrov
Podcast discussing the STIET research program with Jeff MacKie-Mason and Tom Finholt
STIET video showing lifesize, uncompressed fiber-optic video conference from UM Atkins room to WSU via OptIPortalMichael Kearns
Professor of Computer and Information Science, University of Pennsylvania
4-5:30 pm
UM: 411 West Hall
WSU: 313 State Hall (via videoconference)
For four years now, we have been conducting "medium-scale" experiments in how human subjects behave in strategic and economic settings mediated by an underlying network structure. We have explored a wide range of networks inspired by generative models from the literature, and a diverse set of collective strategic problems, including biased voting, graph coloring, consensus, and networked trading. These experiments have yielded a wealth of both specific findings and emerging general themes about how populations of human subjects interact in strategic networks. I will review these findings and themes, with an emphasis on the many more questions they raise than answer.
Background papers are available at http://www.cis.upenn.edu/~mkearns/papers/behvoting.pdf, http://www.cis.upenn.edu/~mkearns/papers/behnwt.pdf, and http://www.cis.upenn.edu/~mkearns/papers/ScienceFinal.pdf
Michael Kearns is a Professor of Computer and Information Science at the University of Pennsylvania National Center Chair in Resource Management and Technology and has secondary appointments in the Wharton School in Operations and Information Management and Statistics. His research interests include topics in machine learning, artificial intelligence, algorithmic game theory, social networks, and computational finance. He often examines problems from these areas using methods and models from theoretical computer science and related disciplines. While the majority of his work is mathematical in nature, he has also participated in a variety of empirical and experimental work, including spoken dialogue systems, software agents, and most recently, human-subject experiments in strategic and economic interaction. His website is http://www.cis.upenn.edu/~mkearns/
