Brendan Cooley
I currently work on Bayesian inference and computation and develop machine learning pipelines at Big League Advantage. I received my Ph.D. in Politics at Princeton University in 2020. In my dissertation research, I estimated a model of the world political economy to quantify how military coercion affects international trade. At Princeton, I taught the Politics Department’s summer math course for incoming graduate students, along with Daniel Gibbs.
I’m interested in baseball, cities, open source software, and open science. I live in the Washington, DC area.
Some Stuff I Worked on in Grad School
Dissertation
Trade Policy in the Shadow of Power: Theory and Evidence on Economic Openness and Coercive Diplomacy
Introduction Slides
Working Papers
Trade Policy in the Shadow of Power: Quantifying Military Coercion in the International System
PDF Slides
Gunshots and Turf Wars: Inferring Gang Territories from Shooting Reports (with Noam Reich)
PDF Slides
Estimating Policy Barriers to Trade
PDF Slides
Gunboat Diplomacy: Political Bias, Trade Policy, and War
PDF Slides OPSC Talk
Teaching
Notes
Calculating Historical Intercapital Distances
R code to calculate distances between historical capital cities, 1816-present
Read and Clean ICEWS Coded Event Data
R code to read, clean, and count international dyadic event data
Other
In 2021 I recorded a podcast for Narratives with Will Jarvis. We chatted about why China and the United States don’t get along.