• the overall paradigm of social-computing research;
• technological support for social-computing applications;
• cognitive modeling and architecture of agents and agent societies; and
• social-computing applications in areas such as terrorist network analysis, competitive business strategies, and agent behavior in financial markets.
Daniel Zeng is an associate professor and the director of the Intelligent Systems and Decisions Lab in the University of Arizona's Department of Management Information Systems. He's also an affiliated professor at the Institute of Automation, Chinese Academy of Sciences. His research interests include software agents and their applications, social computing, security informatics, infectious disease informatics, computational support for auctions and negotiations, and recommender systems. He received his PhD in industrial administration from Carnegie Mellon University. He's the IEEE Intelligent Transportation Systems Society's vice president for technical activities and chair of the INFORMS College on Artificial Intelligence. Contact him at the MIS Dept., Univ. of Arizona, 1130 E. Helen St., Tucson, AZ 85721; firstname.lastname@example.org.
Fei-Yue Wang is the director of the Key Laboratory of Complex Systems and Intelligence Science at the Chinese Academy of Sciences. He's also a professor in the University of Arizona's Systems & Industrial Engineering Department and the director of the university's Program in Advanced Research of Complex Systems. Contact him at email@example.com.
Kathleen M. Carley is a professor of computation, organizations, and society in the Institute for Software Research, School of Computer Science, at Carnegie Mellon University. She's also the director of the Center for Computational Analysis of Social and Organizational Systems (CASOS). Contact her at firstname.lastname@example.org.