Bio
Simone Paci is a quantitative social scientist whose research and teaching spans political economy topics across public policy domains. His main three areas of research include taxation, AI, and gender politics.
Professional Education
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PhD, Columbia University, Political Science (2023)
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BA, Yale University, Economics and Political Science (2017)
https://orcid.org/0000-0001-8175-26152025-26 Courses
- Capstone Project - Autumn
POLISCI 290A (Aut) - Capstone Project - Spring
POLISCI 290C (Spr) - Capstone Project - Winter
POLISCI 290B (Win) - Politics of AI
POLISCI 157 (Sum) - The Science of Politics
POLISCI 1 (Aut, Sum) -
Prior Year Courses
2024-25 Courses
- Capstone Project - Autumn
POLISCI 290A (Aut) - Capstone Project - Spring
POLISCI 290C (Spr) - Capstone Project - Winter
POLISCI 290B (Win) - The Political Economy of Tax Evasion
POLISCI 249R, PUBLPOL 149 (Spr)
- Capstone Project - Autumn
All Publications
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Is Research Safe in the AI Revolution? LLMs Fall Short of Expert Benchmarks in Scientific Evidence Evaluation
CHINESE POLITICAL SCIENCE REVIEW
2026
View details for DOI 10.1007/s41111-026-00335-4
View details for Web of Science ID 001702203800001
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Filling the tax gap: How private donations compensate a faltering fiscal contract
AMERICAN JOURNAL OF POLITICAL SCIENCE
2025
View details for DOI 10.1111/ajps.70026
View details for Web of Science ID 001624859400001
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Applications of GPT in Political Science Research: Extracting Information from Unstructured Text
PS: Political Science & Politics
2025; 58 (4)
View details for DOI 10.1017/S1049096525000046