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Plenary Speakers

Ron Burt, University of Chicago

http://www.chicagobooth.edu/faculty/bio.aspx?person_id=12824623104
Ron Burt is the Hobart W. Williams Professor of Sociology and Strategy at the University of Chicago Booth School of Business. In addition to designing and teaching in various executive education programs, he teaches “Strategic Leadership” each year in Singapore, London, and Chicago. He was on faculty at the University of California, Berkeley and Columbia University before returning to join the University of Chicago faculty in 1993. He took a leave of absence in 1999 to learn more about European business as the Shell Professor of Human Resources at INSEAD. He took a leave of absence beginning in 2000 to learn more about practical implementation as the Vice President of Strategic Learning in Raytheon Company. Professor Burt’s work is about the ways that social networks create advantage. Applications focus on manager networks (how patterns of discussion and collaboration affect performance and careers) and the network structure of markets (how patterns of producer, supplier, and consumer relations define competitive advantage). Professor Burt’s last three books are one introducing the concept of structural holes, Structural Holes (1992, Harvard University Press), a broad review of four stylized facts linking network structure with performance, Brokerage and Closure (2005, Oxford University Press), and argument and evidence on the substantial extent to which advantage depends on the person at the center of the network, Neighbor Networks: Competitive Advantage Local and Personal (2010, Oxford University Press). Research and teaching materials can be downloaded (http://boothfaculty.chicagobooth.edu/ronald.burt).

Nathan Eagle, Northeastern University


Nathan Eagle is a Visiting Assistant Professor at the MIT, a Research Assistant Professor at Northeastern University, and an Omidyar Fellow at the Santa Fe Institute. His research involves engineering computational tools, designed to explore how the petabytes of data generated about human movements, financial transactions, and communication patterns can be used for social good. Eagle also serves as the CEO of txteagle Inc, a mobile crowdsourcing company that has recently become one of the largest employers in Kenya. He holds a BS and two MS degrees from Stanford University; his PhD from the MIT Media Laboratory on Reality Mining was declared one of the '10 technologies most likely to change the way we live' by the MIT Technology Review. His academic work has been featured in Science, Nature and PNAS, as well as in the mainstream press. /td>

Nicholas Economides, NYU Stern


Nicholas Economides Professor of Economics at the Stern School of Business of New York University and Founder and Executive Director of the NET Institute, http://www.NETinst.org. He is an internationally recognized academic authority on network economics, antitrust, and public policy. His fields of specialization and research include antitrust, the economics of networks, especially of telecommunications and the Internet, computers, and information, the economics of technical compatibility and standardization, industrial organization, the structure and organization of financial markets and payment systems, application of public policy to network industries, strategic analysis of markets, security and privacy, and law and economics. He has published over one hundred articles in top academic journals in the areas of networks, telecommunications, oligopoly, antitrust, product positioning, and on liquidity and the organization of financial markets and exchanges.

Sanjeev Goyal, University of Cambridge

http://www.econ.cam.ac.uk/faculty/goyal/
Sanjeev Goyal is Professor of Economics at the University of Cambridge and Fellow of Christ's College. He is a pioneer in the economic study of networks, with research published in leading journals such as Econometrica, American Economic Review, Journal of Politial Economy and Review of Economic Studies. His book, Connections: an introduction to the economics of networks, was published by Princeton University Press in 2007.

Tony Jebara, Columbia University


Tony Jebara is Associate Professor of Computer Science at Columbia University and co-founder of Sense Networks. He directs the Columbia Machine Learning Laboratory whose research intersects computer science and statistics to develop new frameworks for learning from data with applications in vision, networks, spatio-temporal data, and text. Jebara has published over 75 peer-reviewed papers in conferences and journals including NIPS, ICML, UAI, COLT, JMLR, CVPR, ICCV, and AISTAT. He is the author of the book Machine Learning: Discriminative and Generative and co-inventor on multiple patents in vision, learning and spatio-temporal modeling. In 2004, Jebara was the recipient of the Career award from the National Science Foundation. His work was recognized with a best paper award at the 26th International Conference on Machine Learning, a best student paper award at the 20th International Conference on Machine Learning as well as an honorable mention from the Pattern Recognition Society in 2000. Jebara's research has been featured on television (ABC, BBC, New York One, TechTV, etc.) as well as in the popular press (New York Times, Slash Dot, Wired, Businessweek, IEEE Spectrum, etc.). He obtained his PhD in 2002 from MIT. Recently, Esquire magazine named him one of their Best and Brightest of 2008. Jebara's lab is supported in part by the NSF, CIA, NSA, DHS, and ONR.

David Jensen, University of Massachusetts Amherst


David Jensen is Associate Professor of Computer Science and Director of the Knowledge Discovery Laboratory at the University of Massachusetts Amherst. His research focuses on machine learning and knowledge discovery in complex data sets, with applications to social network analysis, computational social science, and fraud detection. He serves on the Executive Committee of the ACM Special Interest Group on Knowledge Discovery and Data Mining and on the program committees of the International Conference on Machine Learning and the International Conference on Knowledge Discovery and Data Mining. He is an associate editor of ACM Transactions on Knowledge Discovery from Data. He was a member of the 2006-2007 Defense Science Study Group, and he currently serves on DARPA's Information Science and Technology (ISAT) Group. From 1991 to 1995, he served as an analyst with the Office of Technology Assessment, an agency of the United States Congress.

Michael Kearns, University of Pennsylvania

http://www.cis.upenn.edu/~mkearns/
Since 2002, Michael Kearns has been a Professor in the Computer and Information Science Department at the University of Pennsylvania, where he also holds the National Center Chair in Resource Management and Technology. He also 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. Professor Kearns is currently on the editorial boards of Mathematics of Operations Research, Games and Economic Behavior, the Journal of the ACM, and the MIT Press series on Adaptive Computation and Machine Learning.

Rachel Kranton, Duke University

http://www.econ.duke.edu/~rek8/
Rachel Kranton is Professor of Economics at Duke University. She studies how institutions, networks, and the social setting affect economic outcomes. Her teaching and research span several fields including microeconomics, industrial organization, economic development, and behavioral economics. In 2001-2002 she was a member of the School of Social Science at the Institute for Advanced Study in Princeton, and in 1996-1997, she was a fellow at the Russell Sage Foundation in New York. She currently serves as an Associate Editor of the Journal of Economic Perspectives.

David Lazer, Harvard University

http://www.hks.harvard.edu/about/faculty-staff-directory/david-lazer
http://www.hks.harvard.edu/davidlazer/html/
David Lazer is an Associate Professor of Public Policy and Director of the Program on Networked Governance at Harvard University, Kennedy School of Governance.  His research interests include Information Governance, Global Governance, Interest Group Networks, Team Networks, and Network Analysis. “Most of my work is based on the idea that how people and organizations are connected together is critical to understanding the functioning, success and failure of actors and systems.”  He is an authority on social network analysis, with a series of papers on the diffusion of information among interest groups and between interest groups and the government.

Michael Macy, Cornell University

http://hsd.soc.cornell.edu/
Michael Macy is the Goldwin Smith Professor of Sociology, Graduate Faculty of the College of Computing and Information Science, and Director of the Social Dynamics Laboratory at Cornell University. He is also an Associate Director of the Center for the Study of Economy & Society. His areas of expertise include collective action, social control in groups and organizations, cognitive game theory and social exchange theory. Some of Professor Macy‘s current research involves dynamic social networks, coalition formation in exchange networks and informal social control in on-line trading communities

Alex (Sandy) Pentland, MIT

http://www.media.mit.edu/people/sandy
http://web.media.mit.edu/~sandy/
Professor Alex (“Sandy”) Pentland is the Toshiba Professor of Media, Arts and Sciences at the Massachusetts Institute of Technology. He is a pioneer in organizational engineering, mobile information systems, and computational social science. Pentland's focus is on the development of human-centered technology, and the creation of ventures that take this technology into the real world. He directs the Human Dynamics Lab, helping companies to become more productive and creative through organizational engineering, and the Media Lab Entrepreneurship Program, which helps translate cutting-edge technology into real-world impact around the world.  He is among the most-cited computer scientists in the world, and in 1997 Newsweek magazine named him one of the 100 Americans likely to shape this century.

Alessandro Vespignani, Indiana University


http://www.informatics.indiana.edu/people/profiles.asp?u=alexv
Alessandro Vespignani is currently James H. Rudy Professor of Informatics and Computing and adjunct professor of Physics and Statistics at Indiana University where he is also the director of the Center for Complex Networks and Systems Research (CNetS) and associate director of the Pervasive Technology Institute. He has obtained his Ph.D. at the University of Rome “La Sapienza.” After holding research positions at Yale University and Leiden University, he has been a member of the condensed matter research group at the International Center for Theoretical Physics (UNESCO) in Trieste. Before joining Indiana University Vespignani has been a faculty of the Laboratoire de Physique Theorique at the University of Paris-Sud working for the French National Council for Scientific Research (CNRS) of which he is still member at large. Vespignani is an elected fellow of the American Physical Society and is serving in the board/leadership of a variety of professional association and journals and the Institute for Scientific Interchange Foundation in Turin, Italy.

Stanley Wasserman, Indiana University


http://mypage.iu.edu/~stanwass/index.html
Stanley Wasserman is the Rudy Professor of Statistics, Psychology, and Sociology and the Chair of the Department of Statistics at Indiana University, Bloomington. Wasserman is best known for his work on statistical models for social networks and for his text, co-authored with Katherine Faust, Social Network Analysis: Methods and Applications. He has published widely in sociology, psychology, and statistics journals, and has been elected to a variety of leadership positions in the Classification Society of North America and the American Statistical Association. Wasserman is also Chief Scientist of Visible Path Corporation in Foster City, California (http://www.visiblepath.com ), a software firm engaged in developing social network analysis for corporate settings. He was educated at the University of Pennsylvania (receiving two degrees in 1973) and Harvard University (Ph.D., in Statistics, 1977).

Duncan Watts, Yahoo! Research

http://research.yahoo.com/Duncan_Watts
Duncan Watts is a principle research scientist at Yahoo! Research, where he directs the Human Social Dynamics group. He is also an adjunct senior research fellow at Columbia University, and an external faculty member of the Santa Fe Institute. His research on social networks and collective dynamics has appeared in a wide range of journals, from Nature, Science, and Physical Review Letters to the American Journal of Sociology. He is also the author of Six Degrees: The Science of a Connected Age (W.W. Norton, 2003) and Small Worlds: The Dynamics of Networks between Order and Randomness (Princeton University Press, 1999).
 
Key Dates
Workshop Dates:
September 24th-25th, 2010
Abstract Submission Deadline:
August 5th, 2010
Notification to Authors:
August 20th, 2010
Final Abstract Submission for Publication in Workshop Notes:
September 1st, 2010
Early Registration Deadline:
September 10th, 2010
Onsite Registration (Space Permitting):
September 24th, 2010
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