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Lada Adamic, University of Michigan

Lada A. Adamic is an assistant professor in the School of Information and the Center for the Study of Complex Systems at the University of Michigan. Her research interests center on information dynamics in networks: how information diffuses, how it can be found, and how it influences the evolution of a network's structure. She worked previously in Hewlett-Packard's Information Dynamics Lab. Her projects have included identifying expertise in online question answer forums, studying the dynamics of viral marketing, and characterizing the structure in blogs and other online communities.

Albert-Laszlo Barabasi, University of Notre Dame, Northeastern University

Albert-Laszlo Barabasi is a Professor of Computer Science and Engineering at the University of Notre Dame, a Distinguished University Professor and Director of the Center for Complex Network Research at Northeastern University.  Professor Barabasi and his team discovered that networks in nature follow a common blueprint, having scale-free characteristics, by investigating the topology of the World Wide Web, Internet, cellular and social networks. His current research involves exploring a wide range of network structures, asking questions pertaining to the error and attack tolerance of complex networks, their robustness, and trying to address the dynamics of networks in general. 

Ronald Burt, University of Chicago

Ronald Burt, the Hobart Williams Professor of Psychology and Strategy at the University of Chicago, Booth School of Business, studies the social structure of competitive advantage in careers, organizations, and markets. Professor Burt is the author of six books, two software programs, and numerous articles and chapters in academic works. He currently serves on the editorial board of the Academy of Management Journal.  His book Neighbor Networks: Competitive Advantage Local and Personal will be published in September of 2009.

Damon Centola, MIT

Damon Centola received his Ph.D. in Sociology from Cornell University. He is currently a faculty member in Economic Sociology and System Dynamics at MIT. Damon's research focuses on the diffusion of collective behavior, including 1) social movements, 2) cultural differentiation, and 3) social epidemiology. His research won the 2006 American Sociological Association's Award for Outstanding Article in Mathematical Sociology, and has been published in the American Journal of Sociology, Physica A, and the Journal of Conflict Resolution. Damon was a Robert Wood Johnson Scholar in Health Policy at Harvard University, and has been a visiting scholar at the Brookings Institution, the Santa Fe Institute, and the Mediterranean Institute for Complex Systems.

Pedro Domingos , University of Washington

Associate Professor Pedro Domingos of the Department of Computer Science & Engineering at the University of Washington is the author or co-author of over 150 technical publications in machine learning, data mining, and other areas. His main research interests are in the fields of machine learning and data mining. Professor Domingos is a member of the editorial board of the Machine Learning journal, co-founder of the International Machine Learning Society, and past associate editor of JAIR. He has received a Sloan Fellowship, an NSF CAREER Award, a Fulbright Scholarship, an IBM Faculty Award, two KDD best paper awards, and other distinctions.

Christos Faloutsos, Carnegie Mellon

Christos Faloutsos is a Professor of Computer Science at Carnegie Mellon University. He has received the Presidential Young Investigator Award by the National Science Foundation (1989), the Research Contributions Award in ICDM 2006, nine ``best paper'' awards, and several teaching awards. He has served as a member of the executive committee of SIGKDD; he has published over 160 refereed articles, 11 book chapters and one monograph.  He holds five patents and he has given over 20 tutorials and over 10 invited distinguished lectures. His research interests include data mining for streams and networks, fractals, indexing for multimedia and bio-informatics data, and database performance

James Fowler, University of California, San Diego

James Fowler is an Associate Professor in the Center for Wireless and Population Health at the California Institute for Telecommunications and Information Technology and the Political Science Department at UC San Diego.  His current interests include social networks, behavioral economics, evolutionary game theory, political participation, the evolution of cooperation, and genopolitics.  His research has been featured in the New York Times Magazine, Time Magazine and the Harvard Business Review.  Professor Fowler has a book coming out this September titled Connected: The Surprising Power of Our Social Networks and How They Shape Our Lives.

Sanjeev Goyal, University of Cambridge

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.

Bernardo Huberman, HP Labs

Bernardo Huberman is a Senior HP Fellow and Director of the Social Computing Lab at Hewlett-Packard Laboratories. He received his Ph.D. in Physics from the University of Pennsylvania, and is currently a Consulting Professor in the Department of Applied Physics at Stanford University. For several years, Dr. Huberman's research concentrated on the World Wide Web, with particular emphasis the dynamics of its growth and use. This work helped uncover the nature of electronic markets, as well as the design of novel mechanisms for enhancing privacy and trust in e-commerce and negotiations. Presently, his work centers on the design of novel mechanisms for discovering and aggregating information in distributed systems as well as understanding the dynamics of information in large networks.

Matthew Jackson, Stanford University

Matt Jackson is the William D. Eberle Professor of Economics at Stanford University.  He is also Director of the Stanford Institute of Theoretical Economics and Director of the CEME-NSF Decentralization Conference Series. His research focuses on consumer behavior, markets and auctions, mechanism design, political economy and networks and social economics.  Professor Jackson has been editor of Games and Economic Behavior since 2007 and was recently elected in 2009 as a Fellow of the American Academy of the Arts and Sciences.

Michael Kearns, University of Pennsylvania

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.

Jon Kleinberg, Cornell University

Jon Kleinberg is on the faculty of the Computer Science Department at Cornell University, where he holds the position of Tisch University Professor. His research focuses on issues at the interface of networks and information, with an emphasis on the social and information networks that underpin the Web and other on-line media. He is a member of the National Academy of Engineering and the American Academy of Arts and Sciences, and serves on the Computer and Information Science and Engineering (CISE) Advisory Committee of the National Science Foundation, and the Computer Science and Telecommunications Board (CSTB) of the National Research Council. He is the recipient of MacArthur, Packard, and Sloan Foundation Fellowships, as well as the Nevanlinna Prize from the International Mathematical Union, the ACM-Infosys Foundation Award in the Computing Sciences, and the National Academy of Sciences Award for Initiatives in Research.

Rachel Kranton, Duke University

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

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.

Jure Leskovec, Stanford

Jure Leskovec received his Ph.D. from Machine Learning Department, School of Computer Science at Carnegie Mellon University in September 2008.  His research focuses on mining and modeling large social and information networks, their evolution, and spread of information, influence and viruses over them.  Problems he investigates are motivated by large scale data, the Web and other on-line media.  He also does work on text mining, large scale sensor placement problems, and applications of machine learning.  Professor Leskovec will be joining the Computer Science Department at Stanford Univesity as an Assistant Professor in Fall 2009.

Michael Macy, Cornell University

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

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.

Duncan Watts, Yahoo! Research

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).

Alin Vana,

Alin Vana received his Doctoral degree in Economics from the Graduate School of Business Administration, Economics, Law and Social Sciences (HSG) of the University of St. Gallen, Switzerland, in September 2009. His dissertation, entitled "Networked Marketing", is motivated by the need to improve marketing effectiveness and by the opportunity presented by the advanced stage of the network science, and proposes a structured framework to integrate social network analysis in the marketing mix. Dr. Vana is working in marketing for a global information technology company.

Barry Wellman, University of Toronto

Toronto sociology professor Barry Wellman has been studying social networks, community and computer mediated communication since 1965. He's now writing _Networked_ with Pew Internet head Lee Rainie for MIT Press.

Ben Golub, Stanford University

Ben Golub is a third year graduate student at the Economic Analysis and Policy Program at the Stanford Graduate School of Business. He studies information dissemination in social networks, as well as issues in network formation and using networks to understand other economic processes as institutions, such as financial markets. Another area of interest is applied mathematics -- particularly random graph theory and its application in economic and sociological models.

Benjamin Waber, MIT Media Laboratory

Benjamin Waber is a doctoral candidate and Highlands and Islands Enterprise Fellow in the Human Dynamics group at the MIT Media Laboratory. His research involves studying how real time data flows, particularly from sensor data, can be used to rethink management of people, physical architecture, corporate planning, and training. His work won the best paper award at ICIS 2008, and he has been frequently featured in major news outlets such as NPR, the New York Times, Wired, and the Technology Review.

César A. Hidalgo, Harvard University

César A. Hidalgo is an Adjunct Lecturer in Public Policy at the Kennedy School and a Research Fellow at Harvard University's Center for International Development (CID). His research focuses on improving the understanding of complex systems, including applications to economic development and industrial policy, but also focusing on systems biology, social networks, human dynamics and complexity theory. His work at CID focuses on exploring alternative descriptions of country's productive structures and their evolution. His goal is to help improve the understanding of the evolution of prosperity and help develop industrial policies that can help countries raise the living standards of their citizens. Dr. Hidalgo's research has been published in Science, Nature and PNAS and has been covered in The Financial Times, The NY Times, Forbes, Newsweek and BBC, among other media. Dr. Hidalgo holds a PhD in Physics from the University of Notre Dame and a “Licenciatura” in Physics degree from the Pontifícia Universidad Católica de Chile

Ching-Yung Lin, IBM Watson Research Center

Dr. Ching-Yung Lin is a Research Scientist in IBM Watson Research Center since 2000, leading Network Science and Collective Intelligence projects. He is also an Affiliate Associate Professor in the University of Washington since 2003 and Columbia University in 2005-6. He invented an expertise and social network analysis system, SmallBlue/Atlas, which was featured in BusinessWeek four times and was the Top Story of the Week, April 2009. He authored 120 papers, and is the General Chair of IEEE International Conference on Multimedia 2009, IEEE CAS Multimedia TC Chair in 2010-11, and a keynote speaker of the Web 2.0 Expo New York 2009.

Chrysanthos (Chris) Dellarocas, Boston University

Chrysanthos (Chris) Dellarocas is an Associate Professor of Management at Boston University. He studies the implications of user-generated content and social media on strategy, marketing and open innovation as well as how the confluence of traditional and new media impacts the economics of content industries. He holds 9 patents and serves on the editorial boards of Management Science and Information Systems Research. He received his Ph.D. in Computer Science from MIT and has previously taught at MIT’s Sloan School of Management, NYU’s Stern School of Business and U. Maryland’s Robert H. Smith School of Business.

Claudia Perlich, IBM

Claudia Perlich joined IBM as a Research Staff Member in 2004. She received her Ph.D. in Information Systems from Stern School of Business, New York University, a M.Sc. in Computer Science from Colorado University at Boulder, and a Diplom in Computer Science from Technische Universitaet in Darmstadt. Her research interests are in relational predictive modeling and statistical machine learning for complex real-world domains and business applications. Claudia has been successfully competing in major data mining competitions and has published more than 40 scientific articles.

Elenna Dugundji, Universiteit van Amsterdam

Elenna Dugundji is lecturer and research affiliate at the Universiteit van Amsterdam. She has coordinated the comprehensive innovation projects "Promoting international, interdisciplinary and inter-institutional education via ICT" and "Scaling-up Network Education" and has consulted for the World Bank Global Development Learning Network. Her research addresses diffusion of innovation and social influence in dynamic networks and develops methodologies to study self-consistent behavior with interacting consumers, drawing on techniques in bifurcation theory, statistical physics, multi-agent social simulation, econometrics and geographical information systems. She is co-founder of the international workshop series "Frontiers in Transportation". She is guest editor of special issues in Environment & Planning (2008) and Transportation Research (forthcoming), and consultant for the UK FUTURENET project.

Elizabeth M. Daly, IBM Dublin Software Laboratory

Elizabeth M. Daly is a researcher and developer in the IBM Dublin Software Laboratory and a part-time lecturer at Trinity College Dublin. She received her Ph.D. in Computer Science from Trinity College Dublin in November 2007 with her thesis entitled "Social Network Analysis for Routing in Disconnected Delay-Tolerant MANETs". Presently, her work focuses on the study and exploitation of underlying reasoning behind evolving network dynamics. Her research interests include social networks, reputation, information flow and trend analysis.

Erik Brynjolfsson, MIT

Erik Brynjolfsson is the Director of the MIT Center for Digital Business, the Schussel Family Professor at the MIT Sloan School, Research Associate at the NBER, and Chairman of the MIT Sloan Management Review. His research examines the effects of information technologies on business strategy, productivity and performance, Internet commerce, pricing models and intangible assets. His recent work examines the social networks revealed by digital information flows, such as email traffic, and their relationships to information worker productivity. Brynjolfsson is the co-author of Wired for Innovation: How IT is Reshaping the Economy. He has Bachelors and Masters Degrees from Harvard and a Ph.D. from MIT.

Gerald C.(Jerry) Kane, Boston College

Gerald C. (Jerry) Kane is an Assistant Professor of Information Systems at the Carroll School of Management at Boston College. His research interests involve the role of information systems in social networks and the use of social media (e.g. blogs, wikis) for managing knowledge within and between organizations, particularly in healthcare settings. His published research has appeared or is forthcoming in such journals as Information Systems Research, MIS Quarterly, Organization Science, and Harvard Business Review. Dr. Kane holds a Ph.D. in Information Systems from Emory University and an MBA in Computer Information Systems from Georgia State University.

Guangyin Hua, Bentley University

Guangying Hua is a PhD student at Bentley University. Her research areas include social networks analysis, online communities, and data analytics. She is currently doing research on online community from the network perspective. Her research interest focuses on understanding the community structure within the network as well as the dynamics of the network. She also does work on collaboration network and large scale transportation network

Heath Hohwald, Telefonica Research and Development

Heath Hohwald is a researcher at Telefonica Research and Development in Madrid, Spain. His research interests include topics in dynamic social networks, machine learning, and information retrieval. At Telefonica, Heath focuses on understanding how information is propogated in large networks and the effects of missing or unobservable information in social networks. Prior to joining Telefonica, Heath worked in the field of information retrieval, most recently as member of the Search Quality team at Google and previously as a member of the Search Relevance team at Amazon.com, designing and implementing novel algorithms that improved the quality of web and product search.

Ilan Lobel, Microsoft Research New England Lab

Ilan Lobel is a post-doctoral researcher at the Microsoft Research New England Lab. In the summer of 2010, he will be joining the faculty of the New York University's Stern School of Business as an Assistant Professor of Information, Operations and Management Sciences. He received his Ph.D. in Operations Research in 2009 from the Massachusetts Institute of Technology, where he worked under the supervision of Daron Acemoglu, Munther Dahleh and Asu Ozdaglar. His research interests include network science, game theory and mechanism design, revenue management and distributed optimization.

James Ennis, Tufts University

James Ennis teaches sociology at Tufts University (social networks, quantitative methods, sociological theory, sociology of art). He uses network models to explore structure and dynamics in cultural domains, including critics’ taste for films and music; cognitive and social organization of social science disciplines; social movement tactics; and links between universities and biotechnology companies.

James Hollander, Texas Instruments, Inc

James F. Hollander is interested in neural networks in social networks. Jim is a Senior Counsel in the Patent Activity at Texas Instruments Inc., Dallas, Texas USA. One of the 1994 founding members of the Mathematical Sociology Section of the American Sociological Association (ASA), Jim has presented at ASA and at Japan/North America conferences in mathematical sociology. His background, like his interests, spans disciplines: B.S.E.E. 1968 Iowa State U.; J.D. 1974 Harvard Law School; M.S. Sociology 2006, U. North Texas.

Jennifer Neville, Purdue University

Jennifer Neville is an assistant professor at Purdue University. She received her PhD from the University of Massachusetts Amherst in 2006. She received a DARPA IPTO Young Investigator Award in 2003 and was selected as a member of the DARPA Computer Science Study Group in 2007. Recently she was chosen by IEEE as one of "AI's 10 to watch" for 2008. Her research focuses on data mining techniques for relational and network domains.

Jinsong Tan, University of Pennsylvania

Jinsong Tan is a PhD student from the Computer & Information Science department at the University of Pennsylvania. He is advised by Prof. Michael Kearns and his research interests include social networks, algorithmic game theory and computational economics, and algorithms and combinatorial optimization. Besides work he enjoys watching movies and playing a variety of sports, and latest added to this growing list is foosball – if you consider it as a sport – that he has discovered recently.

Junki Marui, University of Tokyo

Junki Marui is an undergraduate at the Faculty of Engineering at University of Tokyo. He's interested in AI and Web, and his research is on human relations on an SNS. He's also interested in business models of web startups. Actually, he's a member of a startup(Ohma Inc.), and working on Web mining there.

Lise Getoor, University of Maryland, College Park

Lise Getoor is an associate professor in the Computer Science Department at the University of Maryland, College Park. She received her PhD from Stanford University in 2001. Her current work includes research on link mining, statistical relational learning, representing uncertainty in structured and semi-structured data, social network analysis, and visual analytics. She is a NSF Career Award recipient, an action editor for the Machine Learning Journal, a JAIR associate editor, has been a member of AAAI Executive council, and has served on program committees including AAAI, ICML, IJCAI, ICWSM, ISWC, KDD, SIGMOD, UAI, VLDB, and WWW.

Maria Christina Binz-Scharf, City College of New York (CUNY)

Maria Christina Binz-Scharf is Assistant Professor of Management in the Economics Department at the City College of New York (CUNY), and a Research Fellow at the Colin Powell Center for Policy Studies. Her research focuses on the processes of knowledge sharing across organizational and socially constructed boundaries, with a particular interest in the role information technologies play in these processes. Using ethnographic methods, she has examined informal communication structures in various settings. Currently, she is working on two major projects: one investigates the referral patterns of primary care physicians, and the other one explores the collaborative production of scientific knowledge.

Mariagiovanna Baccara, NYU Stern

Mariagiovanna Baccara is an Assistant Professor at New York University Stern School of Business. Her primary research areas is Applied Microeconomics, and includes industrial organization, and social networks. Professor Baccara's research has examined the impact of policies on the organization of criminal networks. Moreover, she has investigated the patterns of friendship formation in peer groups and she is currently researching the connection between social networks and matching games. Professor Baccara has a Bachelor of Economics degree from University of Trieste, and Master of Arts and Doctor of Philosophy degrees, both in economics, from Princeton University.

Mohammad Hossein Jarrahi, Syracuse University

Mohammad is a PhD student at The School of Information Studies at Syracuse University. He received a Master of Science in Information Systems from the London School of Economics. His research interests lie in the interplay between ICT innovations and organizational elements like structures and processes. In particular, he is interested in new forms of ICT-enabled inter-organizational arrangements. Under the auspices of a National Science Foundation grant, he is currently investigating the innovation network around surface computing. This informal network of innovation is constituted of innovative concepts, human actors, technologies, and institutions.

Mickey Brautbar, University of Pennsylvania

Mickey Brautbar is a PhD candidate at the department of Computer and Information Science, University of Pennsylvania. Mickey's research advisor is Prof. Michael Kearns. Mickey's main research interests are network science, and theory of algorithms. Mickey holds a MSc and BSc, both in computer science, from the Hebrew University of Jerusalem.

Nachiketa Sahoo, Carnegie Mellon University

Nachiketa Sahoo is a visiting assistant professor at the Tepper School of Business in Carnegie Mellon University. His research interests are at the intersection of Machine Learning and Social sciences with applications in the context of Enterprise Information Systems. His primary research interests are in Recommender Systems and Online Social Network Mining. Nachiketa completed his undergraduate studies in Industrial Engineering from Indian Institute of Technologies, Kharagpur; Masters in Knowledge Discovery and Data Mining from the Machine Learning Department at Carnegie Mellon University; and PhD in Information Systems from the Heinz College, Carnegie Mellon University.

Ned Smith, University of Chicago

Ned Smith is a doctoral candidate in economic sociology at the University of Chicago Booth School of Business. His research brings together structural and cognitive perspectives by looking at how social structure functions as a lens through which individuals manage and interpret information. Ned has investigated this process in a number of contexts but focuses primarily on financial and labor markets. Ned is currently on the editorial board of the American Journal of Sociology and will receive his PhD in June, 2010.

Otto Koppius, RSM Erasmus University

Otto Koppius is an Assistant Professor of Decision and Information Sciences at RSM Erasmus University. His main research interests revolve around how the information architecture of business networks and markets affects their dynamics and performance, the role of IT in enabling intra- and inter-organizational coordination in networks and markets, as well as evidence-based management and predictive modeling.

Shawndra Hill, University of Pennsylvania

Shawndra Hill is an Assistant Professor in Operations and Information Management at the Wharton School of the University of Pennsylvania. Generally, she studies data mining, machine learning and statistical relational learning and their alignment with business problems. Specifically, she researches the value to companies of mining data on how consumers interact with each other -- for targeted marketing and fraud detection. Her past and present industry partners include AT&T Labs Research, ClearForest, and Siemens Energy & Automation. Her recent work appears in IEEE Transactions on Data and Knowledge Engineering, Journal of Computational and Graphical Statistics, SIGKDD Explorations, and Statistical Science. Her research is fuded in part by the Office of Naval Research and the National Institutes of Health (NIH). Shawndra holds a B.S. in Mathematics from Spelman College, a B.E.E. from the Georgia Institute of Technology and a Ph.D. in Information Systems from NYU's Stern School of Business.

Tanmoy Chakraborty, University of Pennsylvania

Tanmoy Chakraborty is a fourth year PhD student in the Department of Computer and Information Science, University of Pennsylvania, working with Prof. Michael Kearns and Prof. Sanjeev Khanna. His broad research interest is Applied Mathematics, and his current research interests lie in Algorithmic Game Theory, particularly in networked games. His recent work includes networked bargaining models, human subject experiments in networked bargaining, pricing strategies for revenue maximization, and computing pure Nash equilibrium of congestion games. Before joining the PhD program, he finished his BS in Mathematics from Chennai Mathematical Institute, India.

Tanya Berger-Wolf, University of Illionis at Chicago

Dr. Tanya Berger-Wolf is an assistant professor at the Department of Computer Science at the University of Illinois at Chicago where she heads the Computational Population Biology Lab. Her research interests are in the development and applications of qualitative algorithmic methods to problems in population biology of plants, animals, and humans, from genetics to social interactions. She has received numerous awards for her research and mentoring, including the NSF CAREER Award in 2008.

Tina Eliassi-Rad, Lawrence Livermore National Laboratory

Tina Eliassi-Rad is a staff scientist and principal investigator at the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory and a research assistant professor at the Department of Computer Science at Rutgers University. She earned her Ph.D. in Computer Sciences (with a minor in Mathematical Statistics) at the University of Wisconsin-Madison in 2001. Broadly speaking, Tina's research interests include machine learning, data mining, and artificial intelligence. Her work has been applied to the World-Wide Web, text corpora, large-scale scientific simulation data, and complex networks.

Vahab Mirrokni, Google Research NY

Vahab Mirrokni is a Research Scientist at Google Research NY. He received his PhD from MIT in 2005 and his B.Sc. from Sharif University of Technology in 1997. He has joined Google after research positions at Microsoft Research and Amazon.com. He is the co-winner of a SODA05 best student paper award and ACM EC08 best paper award. His research areas include algorithmic game theory, approximation algorithms, and social network analysis.

William Rand, University of Maryland

William Rand is an assistant professor of Marketing, Decision, Operations and Information Technology, and Computer Science at the University of Maryland. He is also the Research Director for the Center for Complexity in Business. He examines the use of computational tools, such as agent-based modeling, social network analysis, and machine learning, to help understand complex systems, such as the diffusion of innovation, organizational learning, economic markets, suburban sprawl, and many other phenomena. His doctorate is in Computer Science from the University of Michigan, and he also was a postdoctoral research fellow at Northwestern's Institute on Complex Systems.

Wojciech Gryc, University of Oxford

Wojciech Gryc is a student at the University of Oxford, where he recently completed an M.Sc. in Mathematical Modelling and Scientific Computing. He is now reading for an M.Sc. in the Social Science of the Internet at the Oxford Internet Institute, where he is studying on a Rhodes Scholarship. Prior to joining Oxford, Wojciech worked at IBM’s TJ Watson Research Centre, where he was part of the Predictive Modeling Group. Outside of academia, Wojciech is the founder and director of Five Minutes to Midnight, a non-profit organization that promotes new media and journalism in developing nations.

Zan Huang, Pennsylvania University

Zan Huang is an Assistant Professor at the Department Supply Chain and Information Systems, Smeal College of Business, the Pennsylvania State University. He received Ph.D. from the University of Arizona and B.Eng. from Tsinghua University, Beijing both in Management Information Systems. His primary research interest is data analysis and modeling research for customer relationship management, scientific and technology innovations, financial markets, and process management. He has particularly focused on working with network data and developing network modeling/graph analysis methods. Dr. Huang has published in Management Science, ACM Transactions on Information Systems, INFORMS Journal on Computing, IEEE Intelligent Systems, Decision Support Systems, Journal of the American Society for Information Science, and Journal of Biomedical Informatics, among others.

Sang Pil Han, NYU Stern

Sang Pil Han is a postdoctoral researcher at Stern School of Business in New York University. He has received his doctoral degree from Korea Advanced Institute of Science and Technology (KAIST) Business School. His research interests include economics of information technology (IT), mobile media, online customer service personalization, structural modeling, Bayesian statistical modeling, and so on.

Jeffrey Nickerson, Wesley J. Howe School of Technology Management and Stevens Institute of Technology

Jeffrey Nickerson is an Associate Professor in the Wesley J. Howe School of Technology Management and Director of the Center for Decision Technologies at Stevens Institute of Technology. His research interests include predictive models of social networks, visualization through diagrams, information systems design, and the crowd sourcing of design.

Sofus A. Macskassy, Fetch Technologies and University of Southern California

Dr. Sofus A. Macskassy is the Director of Fetch Labs at Fetch Technologies and an Assistant Adjunct Professor at the University of Southern California. He was previously a Research Scientist in the Information Sciences department at Stern School of Business, New York University, where he worked in domains such as financial news and counter-terrorism. His main research areas include statistical relational learning, data mining and social network analysis. Dr. Macskassy is the developer of the open-source Network Learning Toolkit (NetKit-SRL), a machine learning toolkit for networked data. He received his PhD in Computer Science from Rutgers University in January 2003.

Yevgeniy Vorobeychik, University of Pennsylvania

Yevgeniy Vorobeychik is a post-doctoral research associate at the University of Pennsylvania Computer and Information Science department. He received Ph.D. (2008) and M.S.E. (2004) degrees in Computer Science and Engineering from the University of Michigan, and a B.S. degree in Computer Engineering from Northwestern University. His work focuses on simulation-based game theory and mechanism design, algorithmic game theory, network economics, and machine learning. Dr. Vorobeychik was nominated for the 2008 ACM Doctoral Dissertation Award and was a runner-up for the 2008 IFAAMAS Victor Lesser Distinguished Dissertation Award.
Key Dates
Workshop Dates:
September 25th-26th, 2009
Abstract Submission Deadline:
August 20th, 2009
Notification to Authors:
September 1st, 2009
Final Abstract Submission for Publication in Workshop Notes:
September 15th, 2009
Early Registration Deadline:
September 10th, 2009
Onsite Registration:
September 25th, 2009
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