講題：Understanding Social Dynamics from Online Behavior - Techniques and Applications
時間：2015/07/23 (四) 10:00
地點：國立中山大學管理學院管4069教室
講者：Jaideep Srivastava(University of Minnesota, USA / Qatar Computing Research Institute, Qatar)

Talk Abstract: With the mass adoption of the Internet in our daily lives, and the ability to capture high resolution data on its use, we are at the threshold of a fundamental shift not only in our understanding of the social and behavioral sciences (i.e. psychology, sociology, and economics), but also the ways in which we study them. Massively Multiplayer Online Games (MMOGs) and Virtual Worlds (VWs) have become increasingly popular and have communities comprising tens of millions. They serve as unprecedented tools to theorize and empirically model the social and behavioral dynamics of individuals, groups, and networks within large communities. The preceding observation has led to a number of multi-disciplinary projects, involving teams of behavioral scientists and computational scientists, working together to develop novel methods and tools to explore the current limits of behavioral sciences.

This talk consists of four parts. First, we describe findings from the Virtual World Exploratorium; a multi-institutional, multi-disciplinary project which uses data from commercial MMOGs and VWs to study many fields of social science, including sociology, social psychology, organization theory, group dynamics, macro-economics, etc. Results from investigations into various behavioral sciences will be presented. Second, we provide a survey of new approaches for behavioral informatics that are being developed by multi-disciplinary teams, and their successes. We will also introduce novel tools and techniques that are being used and/or developed as part of this research. Third, we will discuss some novel applications that are not yet there, but are just around the corner, and their associated research issues. Finally, we present commercial applications of Social Analytics research, based on our experiences with a startup company that we've created.

Speaker Bio: Jaideep Srivastava is the Research Director for the Social Computing group at QCRI. As a recognized expert in the areas of Web Mining, Social Analytics, and Health Analytics, Jaideep works closely with the research groups across QCRI, using his expertise and management skills to develop solutions that specifically address social challenges and problems that impact Qatar, the region and the world.

Prior to joining QCRI, Jaideep was a Professor within the Department of Computer Science and Engineering at the University of Minnesota. Additionally, he has held distinguished professorships at Heilongjiang University and Wuhan University, China. In addition to academia, Jaideep has a wealth of experience in industry, in both consulting and executive roles. He has led a data mining team at Amazon.com, built a data analytics department at Yodlee, and served as the Chief Technology Officer for Persistent Systems. He has also provided technology and strategy advice to Cargill, United Technologies, IBM, Honeywell, KPMG, 3M, TCS, and Eaton. Jaideep is the Co-Founder and CTO of Ninja Metrics, which brings his research in social analytics to the commercial world. Moreover, he is Adviser and Chief Scientist of CogCubed, an innovative company whose goal is to revolutionize the diagnosis and therapy of cognitive disorders through the use of online games. He has also held advisory positions with the State of Minnesota, and the State of Maharashtra, India. Jaideep’s research has been supported by a broad range of government agencies, including NSF, NASA, ARDA, DARPA, IARPA, NIH, CDC, US Army, US Air Force, and MNDoT; and industries, including IBM, United Technologies, Eaton, Honeywell, Cargill, Allina and Huawei.

Jaideep is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), has been an IEEE Distinguished Visitor, and is a Distinguished Fellow of Allina’s Center for Healthcare Innovation. He has been awarded the Distinguished Research Contributions Award of the PAKDD, for his lifetime contributions to the field of data mining. He has delivered more than a dozen keynote addresses at major international conferences, has authored or co-authored over 340 papers in journals and conferences, and filed 8 patents. Six of his papers have won best paper awards. He has a Bachelors of Technology from the Indian Institute of Technology (IIT), Kanpur, India, and MS and PhD degrees from the University of California, Berkeley.
 

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