Dmitry Zaytsev is an associate professor of practice in the Lucy Family Institute for Data & Society, where he focuses on application of data science methods to Social, Behavioral and Economic (SBE) studies. He specializes in conceptualizing, measuring, explaining, modeling, forecasting, and managing social and political changes with advanced methods of computational social sciences.
Zaytsev’s expertise centers around political, policy, computational, and network science, with a primary emphasis on modeling complex, multidimensional social and political phenomena. In his work he not only uses but develops new methods in advanced research methodology: social network analysis, structural equation modeling, time-series analysis, non-parametric methods, generalized linear models, text mining, and natural language processing.
He is the coauthor or editor of four books, has written numerous book chapters, and has been published in many peer reviewed journals, including Network Science, Foreign Policy Analysis, Comparative Politics, and the Journal of Public Policy.
Zaytsev previously held positions as a senior researcher at a sociological contract-based think tank; founding director of the center for statistical consulting & business analytics; associate professor in sociology and public policy departments, an academic supervisor of a master’s program in applied statistics and network analysis, and academic supervisor of the undergraduate minor in applied data and network analytics.
He holds a PhD in political science and two master’s degrees, in public policy and applied mathematics and informatics.






