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Plenary Speakers
Ron Burt, The University of Chicago
http://www.chicagobooth.edu/faculty/bio.aspx?person_id=12824623104
Ronald Burt studies the ways that social networks create competitive advantage in careers, organizations, and markets (see research tab on personal website for downloads).
Burt joined the Chicago Booth faculty in 1993. He spent the last several years teaching in our Executive M.B.A. program and in Chicago programs for senior executives. When commenting on the difference in environments at various institutions, he described Chicago as a place where "the risk of new ideas is higher than anywhere else because you are continually exposed to confrontation and contradiction between ideas. Most other places protect you from that."
Originally a pre-med major, Burt wanted to better explain people's behavior. He went into physiological psychology, then social psychology, finally finishing his doctorate under mathematical sociologist James Coleman here at Chicago. He earned a bachelor's degree in social and behavioral science from Johns Hopkins University in 1971 and a PhD in sociology from the University of Chicago in 1977. He sought a better understanding of European business by spending two years as the Shell Professor of Human Resources at INSEAD, and came to better understand practical applications of his research by spending two years as the Vice President of Strategic Learning at Raytheon Company.

Lise Getoor, University of Maryland

http://www.cs.umd.edu/~getoor/index.htm
Lise Getoor is an Associate Professor in the Computer Science Department at the University of Maryland, College Park. Professor Getoor’s general research interests are in machine learning, reasoning under uncertainty, databases and artificial intelligence. Other topics of interest include: data integration, database query optimization and approximate query processing, entity resolution, information extraction, utility elicitation, planning under uncertainty, contraint-based reasoning, abstraction and problem reformulation. The theme of her research is building and using statistical models of structured, semi-structured and unstructured data to do useful things.

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

http://www.cs.columbia.edu/~jebara/
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.

Rachel Kranton, Duke University

http://econ.duke.edu/people/kranton
Rachel Kranton is James B. Duke Professor of Economics at Duke University. Rachel Kranton studies how institutions and the social setting affect economic outcomes. She develops theories of networks and has introduced identity into economic thinking. Her research contributes to many fields including microeconomics, economic development, and industrial organization.
Rachel Kranton earned her Ph.D. in Economics at the University California, Berkeley in 1993. She has been awarded fellowships at the Russell Sage Foundation in New York and the Institute for Advanced Study in Princeton. She joined Duke’s faculty in 2007. Rachel Kranton was awarded a Chaire Blaise Pascal in 2010.

Jennifer Neville, Purdue University

http://www.cs.purdue.edu/homes/neville/
Jennifer Neville is an Assistant Professor of Computer Science and Statistics at Purdue University.
Her research interests lie in the fields of machine learning and data mining. In particular, she focuses on the development and analysis of algorithms for relational domains, including social networks, citation analysis, and fraud detection. Her recent work can be broadly categorized into three areas: (1) design and implementation of data mining techniques, (2) discovery of, and adjustment for, statistical biases due to relational data characteristics, and (3) application to real-world tasks.

David Lazer, Northeastern University

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://sdl.soc.cornell.edu/mwm/
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

Beth Simone Noveck, NY Law School

http://www.nyls.edu/faculty/faculty_profiles/beth_simone_noveck
Beth Simone Noveck is a Professor of Law. She served in the White House as United States Deputy Chief Technology Officer (2009-2011) and leader of the White House Open Government Initiative (@opengov). As a result of the Administration’s Open Government efforts, today every department and agency has an Open Government Plan that outlines specific and innovative commitments to create more effective government. Also hundreds of thousands of collections of government information are now freely available to the public on the Web and citizens have burgeoning opportunities to use new platforms to participate in their democracy.
Dr. Noveck served on the Obama-Biden Transition Team and was a volunteer advisor to the Obama for America campaign on issues of technology, innovation, and government reform.
She focuses her scholarship, activism and teaching on the future of democracy in the 21st century. Specifically, her work addresses how digital networks impact institutions and how we can use such technologies to strengthen democratic culture. With the support of the MacArthur Foundation in 2011-12, she is developing an agenda for interdisciplinary research on institutional innovation.

Alessandro Vespignani, Northeastern University


http://cnets.indiana.edu/people/alessandro-vespignani
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.

Duncan Watts, Microsoft Research

http://everythingisobvious.com/
Duncan Watts is a principal researcher at Microsoft Research and a founding mem¬ber of the MSR-NYC lab. From 2000-2007, he was a professor of Sociology at Colum¬bia University, and then, prior to joining Microsoft, a principal research scientist at Yahoo! Research, where he directed the Human Social Dynamics group. He is a former external professor of the Santa Fe Institute and is currently a visiting fellow at Colum¬bia University and at Nuffield College, Oxford. 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 and Harvard Business Review. He is also the author of Six Degrees: The Science of a Connected Age (W.W. Norton, 2003) and, most recently, Everything is Obvious: Once You Know The Answer. How Common Sense Fails Us (Crown Business, 2011). He holds a B.Sc. in Physics from the Australian Defence Force Academy, from which he also received his officer’s commission in the Royal Australian Navy, and a Ph.D. in Theoretical and Applied Mechanics from Cornell University.
 
Key Dates
Workshop Dates:
September 28th-29th, 2012
Abstract Submission Deadline:
August 20th, 2012.
Notification to Authors:
August 31st, 2012
Final Abstract Submission for Publication in Workshop Notes:
September 12th, 2012
Early Registration Deadline:
September 10th, 2012
Onsite Registration(Space Permitting):
September 28th, 2012.
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