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About the Organizers
Sinan Aral
Sinan Aral studies how the flow of information in organizational networks affects information worker productivity, and how information diffusion in massive online networks influences demand patterns, ecommerce behaviors and word of mouth marketing. Some recent representative papers include:

Sinan Aral obtained his PhD in Information Systems from MIT. He is a faculty member in the Information, Operations and Management Sciences department of the NYU Stern School of Business and affiliated faculty at MIT

His research has been awarded the Microsoft Faculty Fellowship (2010), an NSF CAREER Award (2009), the ICIS Best Overall Paper Award (2006, 2008), the ICIS Best Paper in IT Economics Award (2006), the ICIS Best Paper in IT Business Value Research Award (2006), the ACM SIGMIS Best Dissertation Award (2007), and the 2009 IBM Faculty Award. Sinan is a Phi Beta Kappa graduate of Northwestern University and holds masters degrees from the London School of Economics and Harvard University. He has been a Fulbright Scholar and is currently on the Academic Advisory Board of the Institute for Innovation and Information Productivity.

Sinan Aral
Assistant Professor, NYU Stern School of Business.
Research Affiliate, MIT Sloan School of Management.
Personal Webpage: http://pages.stern.nyu.edu/~saral
SSRN Page: http://ssrn.com/author=110270

 

Foster Provost
Foster Provost studies statistical data mining and predictive modeling with networked data. Some recent representative papers include:

  • Predictive Modeling with Social Networks. Tutorial given at ACM SIGKDD 2008 and AAAI 2008.
  • Classification in Networked Data: A Toolkit and a Univariate Case Study. Journal of Machine Learning Research 8, 935‐‐983, 2007.
  • Modeling Complex Networks for (Electronic) Commerce. Tutorial given at the 2007 ACM Conference on Electronic Commerce (EC07).
  • Learning and Inference in Massive Social Networks. The 5th International Workshop on Mining and Learning with Graphs, August 2007.
  • Social Network Collaborative Filtering. Working Paper. Stern School. 2008.
  • Network‐based Marketing: Identifying Likely Adopters Via Consumer Networks. Statistical Science 21 (2) 256–276, 2006.

Foster Provost is a Professor of Information Systems and NEC Faculty Fellow at New York University Stern School of Business. He has won several awards, including IBM Faculty Awards for outstanding research in data mining and machine learning, a President’s Award from NYNEX Science and Technology, a Best Paper Award from the ACM SIGKDD conference, and two awards in SIGKDD’s annual KDDCUP data mining competition. Professor Provost is editor-in-chief of the journal Machine Learning and a member of the editorial boards of the Journal of Machine Learning Research (JMLR) and the Journal of Artificial Intelligence Research (JAIR). He was elected as a founding board member of the International Machine Learning Society. He also has advised several U.S. government agencies on policy and investments in data mining research.

Professor Provost has a B.S. from Duquesne University in Physics and Mathematics and an M.A. and Ph.D. in Computer Science from the University of Pittsburgh.

 

Arun Sundararajan
Arun Sundararajan
studies the economics of networks, how information technology alters economic development, interpersonal interaction and the formation of social structures, how local (network) effects are mediated by underlying social networks, and the diffusion of information and economic influence in online networks. Some recent representative papers include:

  • Economic Influence in Massive Online Social Networks. Workshop on Information Systems and Economics, 2008
Arun Sundararajan is an Associate Professor and NEC Faculty Fellow in the Information, Operations and Management Sciences department of NYU Stern School of Business, and the SRITNE Distinguished Academic Fellow at the Indian School of Business for 2010-11. He coordinates Stern’s undergraduate core course in information systems and is Director of their IS doctoral program. Professor Sundararajan has published in journals that include Decision Support Systems, Economics Letters, Information Systems Research, Journal of Economic Literature, Journal of Management Information Systems, Management Science, Proceedings of the National Academy of Sciences, and Statistical Science, and has given over 100 conference and invited presentations internationally. His research has won three Best Paper awards and has been profiled by numerous trade publications. His opinion pieces have appeared in the Financial Times, the Economic Times, and Business World. Professor Sundararajan is a Senior Editor at Information Systems Research, has served on the editorial boards of Management Science and MIS Quarterly, and serves on the advisory board of the business/ecommerce journal of the Social Sciences Research Network. He consults for leading technology, electronic commerce and media organizations.

Key Dates
Workshop Dates:
October 4th-5th, 2013
Abstract Submission Deadline:
August 23rd, 2013
Notification to Authors:
August 31st, 2013
Final Abstract Submission for Publication in Workshop Notes:
September 13th, 2013
Early Registration Deadline:
September 13th, 2013
Onsite Registration(Space Permitting):
October 4th, 2013
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