The Effect of Diversity Statements in Faculty Hiring
This project studies the effect of diversity statements on demographics of the hired faculty and the graduation rates of underrepressented students.
Research
Agent-Based Econometrics
This project leverages Monte Carlo simulations to evaluate and establish the statistical properties of estimators within an agent-based model.
Comparing Human-Only, AI-Assisted, and AI-Led Teams in Quantitative Social Science
This study presents a field experiment conducted in collaboration with the Institute for Replication, comparing the effectiveness of human, AI-assisted, and AI-led teams in replicating published social science research.
Social Context Matters: How Large Language Model Agents Reproduce Real-World Segregation Patterns in the Schelling Model
We extend the classic Schelling segregation model by replacing its traditional, rule-based agents with Large Language Model (LLM) agents that make residential decisions using natural language reasoning grounded in social context.