Kathleen Carley

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Kathleen Mary Carley
Alma materHarvard University (1984)
MIT (1978)
Known forDynamic network analysis
Scientific career
FieldsSocial network analysis
Computational sociology
Telecommunication policy
InstitutionsCarnegie Mellon University
Doctoral advisorHarrison White

Kathleen M. Carley is an American computational social scientist specializing in dynamic network analysis.[1] She is a professor in the School of Computer Science in the Carnegie Mellon Institute for Software Research 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.[2]


Kathleen Carley was born in Pueblo, Colorado in 1956.[3] 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.[4] 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.[2]


On leaving Harvard in 1984, Carley secured a position as Associate Professor of Sociology and Information Systems at Carnegie Mellon University where she remains based. In 1990 she became Associate Professor of Sociology and Organizations, in 1998 Professor of Sociology, Organizations and IT, and in 2002 attained her current role as Professor of Computation, Organization and Society. Since 1998 she has also held appointments in other CMU schools and departments; the Department of Social and Decision Sciences, Heinz College, Tepper School of Business and Department of Engineering and Public Policy.[2]


Carley's research combines cognitive science, sociology and computer science to address complex social and organizational problems. Methodologically she applies network science, machine learning, natural language processing, and agent based modeling to high-dimensional, large, and dynamic data. Her most notable research contribution was the establishment of dynamic network analysis (DNA) and the establishment of social cybersecurity. She has also contributed to research on computational social and organization theory,[citation needed] 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.[citation needed]

She is the director of the Center for Computational Analysis of Social and Organizational Systems, a university-wide interdisciplinary center that brings together network science, computer science, and organizational studies and is the director of the center for Informed Democracy and Social-cybersecurity (IDeaS) at CMU.[citation needed]

Carley is the founding co-editor and co-editor-in-chief of the journal Computational and Mathematical Organization Theory.[5] She has co-edited several books in the computational organizations and dynamic network area.[citation needed]

See also[edit]


  1. ^ Roebuck, Karen (19 June 2004). "CMU project targets terrorism". Pittsburgh Tribune-Review. Archived from the original on 2 September 2010. Retrieved 8 April 2011.
  2. ^ a b c "Vita" (PDF). Carnegie Mellon University. 2 February 2023. Archived from the original (PDF) on 9 July 2011. Retrieved 2 February 2023.
  3. ^ Carley, K. M.; Zhiang Lin (1995). "Organizational designs suited to high performance under stress". IEEE Transactions on Systems, Man, and Cybernetics. 25 (2): 221–230. doi:10.1109/21.364841. S2CID 6171181.
  4. ^ Edling, Christofer (Jan 31, 2009). Hedström, Peter; Wittrock, Björn (eds.). We Always Know More Than We Can Say: Mathematical Sociologists on Mathematical Sociology. Frontiers of Sociology (Annals of the International Institute of Sociology). Institut international de sociologie. World Congress. p. 358. ISBN 978-90-04-16569-4.
  5. ^ "Computational and Mathematical Organization Theory (Editorial Board)". Retrieved 9 April 2011.

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