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Kathleen Carley

Kathleen M. Carley is an American social scientist specializing in dynamic network analysis. She is a professor in the School of Computer Science in the Institute for Software Research International at Carnegie Mellon University and also holds appointments in the Tepper School of Business, the Heinz College, the Department of Engineering and Public Policy, and the Department of Social and Decision Sciences.
Kathleen Carley was born in Pueblo, Colorado in 1956. At High School her interest in social modeling was inspired by Isaac Asimov's Foundation series. Artificial intelligence was not a career path at that time and she was dissuaded from studying Mathematics because of gender stereotyping. Instead she studied for an S.B. in Economics and an S.B. in Political Science from the Massachusetts Institute of Technology in 1978. She received her Ph.D. in Sociology from Harvard University in 1984. Her Ph.D. advisor was Harrison White and her thesis was entitled Consensus Construction.
Carley's research combines cognitive science, sociology and computer science to address complex social and organizational problems. Her most notable research contribution was the establishment of Dynamic network analysis (DNA). In addition, she has also contributed to research on computational social and organization theory, adaptation and evolution, text mining, and the impact of telecommunication technologies and policy on communication, information diffusion, disease contagion and response within and among groups particularly in disaster or crisis situations, and dynamic network methods.
She is the director of the Center for Computational Analysis of Social and Organizational Systems (CASOS), a university-wide interdisciplinary center that brings together network science, computer science, and organizational studies and has an associated NSF funded training program for Ph.D. students. Her research on dynamic network analysis has resulted in tools for analyzing large scale dynamic networks and various multi-agent simulation systems. Her CASOS group has developed tools for text-mining semantic networks (AutoMap), simulating epidemiological models (BioWar), and simulating covert networks (DyNet).