New Faculty: Daniel de Kadt

Daniel de Kadt

Associate Professor, Government

Academic focus: 

Democracy, inequality, voting behavior, causal inference, data science, and meta science for social science

Current research project: 

How to make causal claims about "distance."

Previous positions: 

  • Assistant Professor, Political science, University of California Merced, 2017-2021

  • Private sector, 2021-2023

  • Assistant Professor, Methodology, London School of Economics, 2023-2026

Academic background: 

  • Ph.D., Political science, Massachusetts Institute of Technology, 2017

  • M.Phil., Comparative government, University of Oxford, 2011

  • B.A., Linguistics, University of KwaZulu-Natal, 2008

  • B.A., Economics and linguistics, University of KwaZulu-Natal, 2007

Last book read: 

“Tangled Web,” by Eric Mead

In your own time/when not working: 

My first priority is being a parent. But beyond that I’m a professional amateur hobbyist, currently interested in magic, photography, trains, dungeons and dragons, and LEGO building. I also play squash, cricket and enjoy cycling, on occasion.

Courses you’re most looking forward to teaching: 

A variety of quantitative methods and data science courses for social sciences, for both undergraduates and graduate students.

What most excites you about Cornell: 

Contributing to a close-knit community of scholars, researchers and curious people. 

X handle/blog url:

https://www.linkedin.com/in/daniel-de-kadt-7091964

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Daniel de Kadt