The strengths and weaknesses of computational and network approaches to the social and organizational sciences are discussed. Basic network representations, statistics, and network analysis techniques including structure and QAP are covered. The curriculum also contains standardized representation schemes for tasks, agents and optimization techniques. An examination of social network methods, complexity theory and procedures for integrating network-based metrics and statistics into computational models completes the program. The curriculum builds on both social network and computational analysis techniques, and illustrates how to use these techniques to study social, organizational and policy issues.
Participation is open to graduate students, faculty, and personnel from industry.
Due to space restrictions we are limited to approximately 35 students per year. The conference is on July 5-8. Conference participants are drawn internationally from researchers in the areas of computational social science and computational and mathematical organization theory. A limited number of scholarships have been made available by the NSF for women and minority US Nationals. Eligible participants should contact Kathleen M. Carley.