Scott Guenther Profile Picture

Scott Guenther

Lecturer

guenther.scott@ischool.berkeley.edu

Focus

Experiments and Causal Inference, Computational Social Science, American Political Institutions

Biography

Current Research

I am a computational social scientist with a focus on causal inference and experiment design. My research focuses on citizen and elite behavior interacting with political institutions. My research has been published in The Lancet, The Proceedings of the National Academies of Science, Perspectives on Politics, and field journals. I teach courses on experiment design and causal inference for the MIDS program. Additionally, I have previously taught undergraduate courses at University of California - San Diego, Middlebury College, Georgetown University, and Montana State University, as well as graduate coursework at Princeton University's School of Public and International Affairs. 

 

Education

  • PhD. Political Science, University of California, San Diego, 2016

  • MA. University of California, San Diego, 2012

  • BA. Political Science, Middlebury College, 2007

People

Recent courses taught

Summer 2023

Data Science 241. Experiments and Causal Inference
Data Science 241. Experiments and Causal Inference
Data Science 241. Experiments and Causal Inference
Data Science 241. Experiments and Causal Inference

Spring 2023

Data Science 241. Experiments and Causal Inference
Data Science 241. Experiments and Causal Inference
Data Science 241. Experiments and Causal Inference
Data Science 241. Experiments and Causal Inference

Last updated:

April 25, 2024