Carnegie Mellon University

Public Policy and Social Sciences

Statistical methods are now a primary tools for the collection and analysis of data to inform the education, policy, and social sciences. From questionnaire development to the selection of probability samples to the design of social experiments, statisticians at Carnegie Mellon collaborate in the collection of social science data. Faculty and students regularly work with others to develop new methods for analyzing these data and they apply up-to-date methods for drawing inferences from diverse social science data sources ranging from large scale sample surveys to social networks, to educational experiments. A number of statistics graduate students work directly in joint programs bringing statistics to bear on problems in education and public policy.

Department Members with this Research Interest

14 bios displayed.

Zach Branson

Zach Branson

Assistant Teaching Professor

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Philipp Burckhardt

Philipp Burckhardt

Postdoctoral Researcher

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Alexandra Chouldechova

Alexandra Chouldechova

Estella Loomis McCandless Assistant Professor of Statistics and Public Policy

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Bill Eddy

Bill Eddy

John C. Warner Professor of Statistics Emeritus

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Amelia Haviland

Amelia Haviland

Anna Loomis McCandless Professorship of Statistics & Public Policy

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Joseph Kadane

Joseph Kadane

Leonard J. Savage University Professor of Statistics and Social Sciences, Emeritus

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Edward Kennedy

Edward Kennedy

Associate Professor

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Robin  Mejia

Robin Mejia

Assistant Research Professor

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Daniel  Nagin

Daniel Nagin

Teresa and H. John Heinz III Professor of Public Policy

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Nynke  Niezink

Nynke Niezink

Assistant Professor

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Rebecca  Nugent

Rebecca Nugent

Fienberg Professor of Statistics & Data Science/Dept. Head

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Cosma Shalizi

Cosma Shalizi

Associate Professor

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