Friday 8 March 2013, 3.15PM to 5.00pm
Speaker(s): Professor Shouyang Wang, Chinese Academy of Sciences (Beijing)
This is a joint seminar with Dr. Xun Zhang and Dr. Ai Han also speaking. See department seminars for more details regarding their talks.
Abstract: In this talk, a new methodology -- TEI@I methology for conplex systems analysis is introduced. Some applications in economic forecasting are used to illustrate the methodology.
Professor Wang is professor at the Academy of Mathematics and Systems Science of Chinese Academy of Sciences (CAS) in Beijing, and the chief economist and the founding director of the Center for Forecasting Science of CAS. He obtained his PhD in Operations Research in 1986 at the Institute of Systems Science of CAS. He is the president of International Society of Knowledge and Systems Sciences, the president of China Society of Systems Engineering, a vice president of Chinese Academy of Management and an advisor of several ministries of China. He was awarded many prizes and awards including Research Fellowship of the Dutch Royal Academy of Sciences in 1987-1988, the Croucher Foundation Fellowship of Hong Kong in 1993, the CAS Prize for Young Scientists in 1993, the China Science and Technology Prize for Young Scientists in 1994, Japan Science Promotion Society Fellowship in 1994, The CAS 100 Talent Program Scientist in 1996, Foreign Professorship of Tsukuba University in Japan in 2000-2001 and 2003-2004, the NSFC Fund for Outstanding Scientists in 2002, Green Group Award for Business Intelligence and Computational Economics in Krakow, Poland in 2007, The President Award of International Society of Multiple Criteria Decision Making in 2007 and Fudan Premium Prize of Management in 2008. He was elected as an academician of International Academy of Systems and Cybernetics in Wien in 2010.
Research areas: Economic analysis and forecasting; game theory and conflict resolution; decision analysis and decision support systems; policy studies.
Location: Economics Staff Room (EC/202)
Admission: For Staff and PhD students