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Kazuo Yamaguchi Email
Ralph Lewis Professor, Department of Sociology

Professor Yamaguchi is interested in statistical models for social data and mathematical models for social phenomena, life course, rational choice theory, stratification and mobility, demography of family and employment, process of drug use progression, and Japanese society. His current research focuses on methodology (causal models for categorical data, decomposition analysis, and panel data analysis), and gender inequality and work-life balance in Japan and Korea.

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Alexander Todorov
Walter David "Bud" Fackler Distinguished Service Professor of Behavioral Science, Booth School of Business

Professor Todorov studies perception, judgment, and decision making. As an alternative to standard theory-driven experiments to study perception and judgment, Todorov’s lab pioneered data-driven computational methods. These methods model and visualize the perceptual basis of judgments (e.g., what makes an object beautiful) without prior assumptions, and can be used as a discovery tool. Building on this past work, current research uses generative AI to model individual human preferences. Another line of research is on the incompleteness of human statistical intuitions and the conditions under which these intuitions impair decision making (e.g., dealing with outcomes generated by chance processes).

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Rochelle Layla Terman Email
Assistant Professor, Department of Political Science

Professor Terman specializes in international norms and human rights. Her first book, The Geopolitics of Shaming: When Human Rights Pressure Works—and When It Backfires, was published in 2023 with Princeton University Press. Terman has also produced work on gender, Islamophobia, and computational social science. She is currently a faculty affiliate with the Center for Middle Eastern Studies, the Center for the Study of Gender & Sexuality, the Committee on International Relations, and the Program on Computational Social Science.

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Chenhao Tan Email
Assistant Professor of Computer Science, Data Science, Department of Computer Science

Chenhao Tan's research focuses on developing the best AI for humans. He is interested in developing new theories of human decision making and building AI to complement humans, with a focus on policy, healthcare, and scientific discoveries. 

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James Sparrow Email
Associate Professor, Department of History and the College

Professor Sparrow is an historian of modern US politics broadly construed, with special interests in the mutual constitution of social categories, democratic publics, and state formation.

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David Schloen Email
Professor of Near Eastern Archaeology, Department of Middle Eastern Studies

David Schloen is a Professor of Archaeology in the Institute for the Study of Ancient Cultures and in the Department of Near Eastern Languages and Civilizations of the University of Chicago, where he is also an Associated Faculty member of the Divinity School. He specializes in the archaeology and history of the Levant in the Bronze and Iron Ages (ca. 3500 to 500 BCE). 

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Monica Rosenberg Email
Associate Professor, Department of Psychology

Monica Rosenberg joined the faculty as a Assistant Professor in 2019. Her research explores how we pay attention, and how insights from attention research can help improve focus. Dr. Rosenberg completed her PhD and postdoctoral work in the Department of Psychology at Yale University after earning her undergraduate degree in cognitive neuroscience at Brown University.

A primary focus of Dr. Rosenberg’s work has been what we can learn about a person from their unique patterns of brain activity, and what this can tell us about the nature of the brain and mind. In particular, she builds models that predict individual differences in attention and cognition from functional neuroimaging data. This work has revealed, for example, that data collected while a person is simply resting in an MRI scanner (and not completing any task at all) can be used to predict aspects of their behavior, including how well they pay attention and remember information. Dr. Rosenberg’s work also uses behavioral, neuroimaging, and machine learning techniques to investigate how attention fluctuates over time, changes across development, and interacts with the rest of the mind.

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Veronika Rockova Email
Professor of Econometrics and Statistics, and James S. Kemper Faculty Scholar, Booth School of Business

Veronika Rockova is a Professor of Econometrics and Statistics and the James S. Kemper Faculty Scholar at the Booth School of Business at the University of Chicago. She joined Booth after completing her postdoctoral training in statistics at the Wharton School of the University of Pennsylvania. She teaches a course on Big Data at Booth. Her research interests lie at the intersection of statistics and machine learning, with a primary focus on creating innovative decision-centric tools for extracting insights from extensive datasets. She specializes in Bayesian computation, high-dimensional decision theory, and hierarchical modeling. Her applied areas of interest include healthcare analytics and computational medicine. Her research was acknowledged with the National Science Foundation CAREER Award in 2020, the COPPS Emerging Leader Award in 2023 and the COPSS Presidents’ Award in 2024. She currently serves as an associate editor for the Annals of Statistics, Journal of the American Statistical Association, and Journal of the Royal Statistical Society. Beyond her academic pursuits, Veronika is an avid pianist, tennis enthusiast, and golf neophyte.

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Stephen Raudenbush Email
Lewis-Sebring Distinguished Service Professor, Department of Sociology, the College, and the Harris School of Public Policy Studies

Stephen Raudenbush is the Lewis-Sebring Distinguished Service Professor in the Department of Sociology, the College and the Harris School of Public Policy Studies.

He is interested in statistical models for child and youth development within social settings such as classrooms, schools, and neighborhoods. He is best known for his work developing hierarchical linear models, with broad applications in the design and analysis of longitudinal and multilevel research. he is currently studying the development of literacy and math skills in early childhood with implications for instruction; and methods for assessing school and classroom quality. He is a member of the National Academy of Sciences, the American Academy of Arts and Sciences the recipient of the American Educational Research Association award for Distinguished Contributions to Educational Research.

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John Padgett Email
Professor, Department of Political Science

Professor Padgett specializes in American politics, organizational theory, mathematical models, and public policy. He is best known for his models of the federal budget process, although he has written on a variety of topics. The American Journal of Sociology published both his 1993 article "Robust Action and the Rise of the Medici, 1400-1434" and his 1985 essay "The Emergent Organization of Plea Bargaining." He is a Director of the Organizations and State-Building Workshop.

Learn more about Professor Padgett here.