Dean Knox

... is an assistant professor in at the Wharton School of the University of Pennsylvania. He develops statistical models and methods for policing and other complex social science applications, including audio recordings, decision sequences, and mobile location records.

About

Hello! I'm an assistant professor in Operations, Information, and Decisions at the Wharton School of the University of Pennsylvania. I study policing, ethnic politics, and political communication. I also develop quantitative models and methods for new forms of social science data. These new sources include many forms of data previously thought to be too unstructured to study: audiovisual data conveying human emotion, path data for sequential decision-making, and mobile location data on movement and social interaction.

My research has appeared or is forthcoming in Science, the Journal of the American Statistical Association, the Proceedings of the National Academy of Sciences, and the American Political Science Review. It has received the Gosnell Prize for excellence in political methodology, the John T. Williams dissertation prize, and the best poster award by the Society for Political Methodology.

Please visit policingresearch.org for work by my group, Research on Policing Reform and Accountability, co-founded with Jonathan Mummolo. I am also a faculty fellow at Analytics at Wharton and an affiliate of the Quattrone Center for the Fair Administration of Justice.

Research

Dean Knox and Christopher Lucas. "A Dynamic Model of Speech for the Social Sciences." Conditionally accepted, American Political Science Review (Manuscript).

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Dean Knox, Will Lowe, and Jonathan Mummolo. 2020. "Administrative Records Mask Racially Biased Policing." American Political Science Review (Manuscript).

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Dean Knox and Jonathan Mummolo. Forthcoming. "Toward a General Causal Framework for the Study of Racial Bias in Policing." Journal of Political Institutions and Political Economy (Invited).

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Fragile Families Challenge Team. 2020. "Measuring the predictability of life outcomes with a scientific mass collaboration." Proceedings of the National Academy of Sciences (Research Report).

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Dean Knox and Jonathan Mummolo. 2020. "Making inferences about racial disparities in police violence." Proceedings of the National Academy of Sciences (Letter).

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Samuel Mehr, Manvir Singh, Dean Knox, Daniel Ketter, Daniel Pickens-Jones, Stephanie Atwood, Christopher Lucas, Nori Jacoby, Alena Egner, Erin Hopkins, Rhea Howard, Joshua Hartshorne, Mariela Jennings, Jan Simson, Constance Bainbridge, Steven Pinker, Timothy O'Donnell, Max Krasnow, and Luke Glowacki. 2019. "Universality and Diversity in Human Song." Science (Research Article).

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Dean Knox, Teppei Yamamoto, Matthew Baum, and Adam Berinsky. 2019. "Design, Identification, and Sensitivity Analysis for Patient Preference Trials." Journal of the American Statistical Association (Applications and Case Studies).

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Other

Dean Knox and Jonathan Mummolo. 2020. "A widely touted study found no evidence of racism in police shootings. It’s full of errors." Washington Post.

Link

Dean Knox and Jonathan Mummolo. 2020. "It took us months to contest a flawed study on police bias. Here's why that's dangerous." Washington Post.

Link

Submitted

Justin Grimmer, Dean Knox, and Brandon Stewart. "Naïve regression requires weaker assumptions than factor models to adjust for multiple cause confounding."

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Bocar Ba, Dean Knox, Jonathan Mummolo, and Roman Rivera. "Diversity in Policing: The Role of Officer Race and Gender in Police-Civilian Interactions in Chicago."

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Fotini Christia, Elizabeth Dekeyser, and Dean Knox. "The Nature and Origins of Sectarian Animosity."

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Selected Working Papers

Justin Grimmer, Dean Knox, and Brandon M. Stewart. "Naïve regression requires weaker assumptions than factor models to adjust for multiple cause confounding."

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Dean Knox. "ffgrep: Scalable Approximate String Matching."

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Fotini Christia, Dean Knox, and Jaffar Al-Rikabi. "Networks of Sectarianism: Experimental Evidence on Access to Services in Baghdad."

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Dean Knox. "A Model for Path Data."

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Dean Knox, Jake Hofman, and Duncan Watts. "The Structure and Dynamics of Diffusive Conversations."

Teaching

Princeton POL 571. Probability Theory.

Princeton POL 574. Machine Learning.