Research Areas
Methodological:
–Planetary causal inference
–Design & Measurement
–Text-based AI systems
Substantive:
–Descriptive representation
–Political economy
–Social movements/Globalization
Initiatives:
–AIDevLab.org
–GlobalLeadershipProject.net
–Neuristemic.ai
–PlanetaryCausalInference.org
–strategizelab.org
[Students] [Jobs] [PCI Book]
[Video Library] [Bio] [CV] [Bib]
Academic Background
Present:
[1] Assistant Professor in the Department of Government at the University of Texas at Austin
[2] co-PI, AI & Global Development Lab at UT Austin
[3] Consultant, Institute for Health Metrics & Evaluation (IHME), University of Washington
Past:
[1] Visiting Assistant Professor in the Department of Government at Harvard University (2024)
Education:
[1] Ph.D., Government, Harvard (2021)
[2] A.M., Statistics, Harvard (2020)
Present:
[1] Assistant Professor in the Department of Government at the University of Texas at Austin
[2] co-PI, AI & Global Development Lab at UT Austin
[3] Consultant, Institute for Health Metrics & Evaluation (IHME), University of Washington
Past:
[1] Visiting Assistant Professor in the Department of Government at Harvard University (2024)
Education:
[1] Ph.D., Government, Harvard (2021)
[2] A.M., Statistics, Harvard (2020)
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News & Events
2026
- Planetary Causal Inference book goes live [Get Notified]
- Electoral Rules and Descriptive Representation (A Cambridge Element) goes live [More] [Get Notified]
- Member: Committee on AI Policy in Graduate Education [Submit Comments]
- Teaching this Fall:
GOV 391J: Statistical Analysis in Political Science I — Tuesdays & Thursdays, 8–9:30am CT
GOV 385L: Causal ML & Earth Observation for Social Science — Tuesdays, 9:30am–12:30pm CT’ - October 29 – Nicolas Audinet de Pieuchon presents new work at the 9th BlackboxNLP Workshop
- September 2 – Platonic Representations for Poverty Mapping: Unified Vision-Language Codes or Agent-Induced Novelty? to appear at ICSC
- August 1 – Presenting new work at JSM (panel, “Inference from Remote Observations”, organized by James Bailie)
- July 16 – Presenting new work with team (Hamza Aziz Khan) at PolMeth
- July 14 – Correcting Bias When Using Latent Regressors forthcoming at Political Analysis (pending final replication)
- July 7 – MiniMax Learning of Interpretable Factored Stochastic Policies from Conjoint Data, with Uncertainty Quantification to appear at ICML
- July 2 – Multiplication in Multimodal LLMs: Computation with Text, Image, and Audio Inputs (with Sam Balter and Ethan Jerzak) to appear in ACL Findings
- June 5 – Congratulations to Johannes Fagerlind for successfully defending his thesis, Horizontal Inequality, Income Shocks & Civil Conflict: Using High-Resolution Spatial Wealth Estimates and Causal Inference Methods to Investigate Patterns of Civil Violence in Africa!
- April 27 – Congratulations to Jessica Gallardo, recipient of our Excellence in Big Data Award!
- April 23 – Team (Jie Jason Lian) presenting new work at MPSA
- February 20 – Presenting, with Peng-Ting Kuo, new work at TexMeth
- February 18 – Mattias Antar (Master’s Student of Computational Social Science) defends his thesis! [PDF] [.bib] [Project Website]
- February 13 – The AY25-26 Government Department Methods Speaker Series continues! [Schedule]
- February 9 – lpmec software for measurement error analysis and correction under identification restrictions live on CRAN [Paper]
- Jan 23 – Chinese vs. World Bank Development Projects: Insights from Earth Observation and Computer Vision on Wealth Gains in Africa, 2002-2013 to appear in World Development
- January 20 – Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: “One Map, Many Trials” in Satellite-Driven Poverty Analysis to appear at AAAI 2026 [Oral]
- January 4 – Fast Rerandomization Using Accelerated Computing to appear in SoftwareX
- Spring – Teaching Gov 355M (AI & Programming Foundations for Computational Social Science) and Gov 385L (Making Big Data)