Lecturer: Li, Xiaobai
Lecture Time: 2010.6.22 9:00am-11:30am
Lecture Place: lecture hall in information building
Abstract: Information technologies have enabled organizations to share and analyze personal data in order to better understand and serve their customers, and to gain competitive advantages. On the other hand, there are growing concerns by the public about invasions to privacy by information technology in general, and by data mining and data sharing in particular. Recently, some data mining-based counter-terrorism programs developed by the U.S. governments were terminated due to strong opposition by the public. A variety of approaches have been proposed for protecting privacy in data mining and data sharing. This seminar will begin with an overview of the current state-of-the-art in this cutting-edge research area, followed by a research framework, developed by the speaker, that integrates computing technology-based approach and game-theoretic and economic modeling approach to resolve the conflict between data mining/sharing and privacy protection.
This research area is cross-disciplinary in nature. It has attracted researchers from broad areas of background, including information systems, computer science, economics, statistics, operations research, and social sciences. We will introduce various approaches from different perspectives, and explain how these different approaches interact and complement each other.
Bio-sketch: Dr. Li Xiaobai is an Associate Professor of Information Systems in the Department of Operations and Information Systems at the University of Massachusetts Lowell, USA. He received his Ph.D. in management science from the University of South Carolina, USA, in 1999. His research focuses on data mining, information privacy, and information economics. His work has appeared in Information Systems Research, Operations Research, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Systems, Man, and Cybernetics, IEEE Transactions on Automatic Control, Communications of the ACM, Decision Support Systems, INFORMS Journal on Computing, European Journal of Operational Research, among others. He has received funding for his research, including a grant from the National Science Foundation (USA), to develop a privacy protection system for data sharing and data mining.
