Regents' Professor; Professor, School of Sociology; Affiliate, Graduate Interdisciplinary Program in Statistics; Professor (by courtesy), School of Government and Public Policy

Ronald Breiger

Dr. Ronald Breiger, Regents' Professor and Professor of Sociology at the University of Arizona, holds joint affiliations with the Interdisciplinary PhD program in Statistics and with the School of Government and Public Policy. He is a leading contributor to theory and methods in social network analysis, and he has substantial strengths in the sociology of culture, organizations, stratification, theory and methods. He served as Editor of the journal Social Networks (1998-2006) and is currently (2016- ) Edtior for Social and Political Science of the journal Network Science. He is the 2005 recipient of the Simmel Award of the International Network for Social Network Analysis, and was elected Chair of the Section on Mathematical Sociology of the American Sociological Association (2009-10). He chaired a 2002 National Academy of Sciences workshop on dynamic social network modeling and analysis, which was focused on the contributions of that area to national needs and especially to national security. The proceedings (edited by R.L. Breiger, K.M. Carley, and P.E. Pattison) were published in 2003 by National Academies Press (http://www.nap.edu/catalog/10735/). Dr. Breiger has been named a Fellow at the Center for Advanced Study in the Behavioral Sciences and a Fulbright Senior Scholar, and he is currently an editorial board member of the American Journal of Cultural Sociology, Poetics: Journal of Empirical Research in Culture, the Media, and the Arts, and the American Sociological Association journal Socius. He currently holds or has recently held federal research grants, from the Defense Threat Reduction Agency (PI), the Air Force Office of Scientific Research (co-PI), and the National Science Foundation (co-PI on two separate grants). Dr. Breiger earned a Ph.D., Sociology, Harvard University, 1975. His interests include Machine Learning, Natural Language Processing, and Data Science Literacy.