Yiqing Xu is associate professor of political science at Stanford's School of Humanities and Sciences. His primary research areas are causal inference and comparative politics. His recent work focuses on developing methods for more credible causal inference, improving the reproducibility and robustness of empirical research, and AI's society impacts.
AI-Verified Reproducibility and Real-World Benchmarks for Social Science
This project, led by Yiqing Xu, was awarded a fast grant for AI-enabled research in 2026 to develop an AI harness that standardizes and reruns replication packages for empirical papers, verifies whether the results match those reported, and assesses their robustness through additional checks. Designed for journals, researchers, students, and decision makers, the tool will support methodological development and strengthen empirical rigor across scientific research.