About
I am a Postdoctoral Researcher at CENIA - National Center for Artificial Intelligence in Santiago, Chile. Previously, I was a Postdoctoral Researcher at the Schwartz Reisman Institute for Technology and Society at the University of Toronto. I received my Ph.D. from the Department of Political Science at the University of Michigan in Summer 2024. My research is driven by the conviction that artificial intelligence will transform the social sciences by changing the scale at which human expertise can be applied. As AI systems become more capable, tasks that once required large amounts of expert labor, such as reading and coding documents, conducting adaptive conversations, reviewing institutional records, and tracing decisions over time, become cheaper, more repeatable, and easier to audit. I develop this agenda in three directions: building AI-driven measurement and agentic systems for political text, institutional records, and bodies of social-science knowledge; studying how interaction with AI systems affects political attitudes and behavior; and applying these tools to public policy, where AI can help institutions make better use of their own records for diagnosis, design, implementation, and learning. You can find my CV here.
Publications
Improving Probabilistic Models in Text Classification via Active Learning
Mitchell Bosley, Saki Kuzushima, Ted Enamorado, and Yuki Shiraito.
American Political Science Review (2025)
[PDF] [Journal] [Code] [BibTeX]
Towards Qualitative Measurement at Scale: A Prompt-Engineering Framework for Large-Scale Analysis of Deliberative Quality in Parliamentary Debates
Mitchell Bosley
Journal of Political Institutions and Political Economy (2025)
[Paper] [DOI] [Code]
Can AI Help Reduce Prejudice? Evaluating the Effectiveness of AI-Powered Personalized Persuasion on Support for Transgender Rights
Mitchell Bosley, John Holbein, Charles Crabtree, and Semra Sevi.
PNAS Nexus (Accepted, 2026)
[PDF] [SSRN]
Working papers
From Debate to Statute: Tracing Legislative Influence Using Generative AI
Mitchell Bosley, Kevin M. Esterling, and Ju Yeon Park
[PDF]
Do we still need BERT in the age of GPT? Comparing the benefits of domain-adaptation and in-context-learning approaches to using LLMs for Political Science Research
Mitchell Bosley, Musashi Hinck, Alexander Hoyle, and Hauke Licht
[Paper]
Did Suffrage Expansion in British Colonial India Affect Legislative Support for Social Policy?
Mitchell Bosley, Ajit Phadnis, and Thihaw Zaw
[Abstract]
Teaching
Instructor of Record
SOL319: Introducción al Aprendizaje de Máquinas para Ciencias Sociales
Pontificia Universidad Católica de Chile, Instituto de Sociología, 2026
[Syllabus]
Investigating Politics: An Introduction to Scientific Political Science
Taught at the University of British Columbia, Summer 2023
[Syllabus]
Professional Teaching and Workshops
Getting Work Done With AI Agents
AI Horizons / Statistical Horizons, forthcoming 2026
Prepared Courses
Advanced Computational Methods for Social Science Research
[Syllabus]
The Political Economy of Artificial Intelligence
[Syllabus]
