Molly Offer-Westort

Molly Offer-Westort works on quantitative methodology for social science research, with a focus on causal inference and experimental design. Offer-Westort's PhD is joint in Political Science and Statistics & Data Science, conferred by Yale University in 2019; Offer-Westort also holds a Masters in Statistics, also from Yale, and a Masters in Public Affairs, from the Princeton School of Public and International Affairs.

At Yale, Offer-Westort worked in collaborative research labs with Peter Aronow, Gregory Huber, and Forrest Crawford. In the summer of 2018, she interned with Facebook’s Core Data Science team.

Education

• Doctor of Philosophy - PhD Yale University
• Master of Arts - MA Yale University
• B.A. Grinnell College
• Master of Public Affairs Woodrow Wilson School of Public and International Affairs
• Yale University

Companies

• Assistant Professor University of Chicago (2021)
• Postdoctoral Researcher Stanford University Graduate School of Business (2019 — 2021)
• PhD Student in Political Science and Statistics & Data Science Yale University (2014 — 2019)
• Statistical Consultant StatLab @ Yale University Library (2018 — 2019)
• Graduate Intern Facebook (2018 — 2018)
• Research Consultant United Nations Secretary General's Special Advocate for Inclusive Finance for Development (2011 — 2014)
• Research Consultant Mercy Corps (2013 — 2014)
• Field Coordinator World Bank, Development Impact Evaluation Initiative (2011 — 2013)
• Agricultural/Environment Volunteer Peace Corps (2007 — 2009)

PUBLICATIONS

• Molly O‚er-Westort, Alexander Coppock, and Donald P. Green. “Adaptive experimental design: Prospects and applications in political science.” American Journal of Political Science, (2021).
• P. M. Aronow and Molly O‚er-Westort. (2017) “Understanding Ding’s apparent paradox.” Statistical Science, 32(3): 346-348.
• P. M. Aronow, Lauren Pinson, Molly O‚er-Westort, and Ana C. Perez-Gea. (2017) “Information and access to United Nations diplomatic missions: Results from a randomized €eld experiment.” Applied Economics Leˆers, 24(9): 594-597