Position Title
Assistant Professor
Tina Law is an Assistant Professor of Sociology at the University of California, Davis. She is also a Faculty Affiliate with the Center on Poverty and Inequality Research and the Computational Social Science Designated Emphasis Program. She studies inequality, race and ethnicity, political sociology, and AI and specializes in computational methods. She addresses questions about social and political inequality in the U.S., often by developing novel methodological techniques and text and image datasets.
She received her Ph.D. in sociology from Northwestern University. She completed a postdoctoral fellowship with the Stone Center on Socio-Economic Inequality and a visiting fellowship with the Ash Center on Democratic Governance and Innovation at the Harvard Kennedy School.
- Ph.D. Sociology, Northwestern University, 2022
- M.Phil. Sociology, Yale University, 2018
- M.A. Sociology, Yale University, 2017
- Inequality
- Race and ethnicity
- Political sociology
- AI
- Methodology
- Law, Tina and Elizabeth Roberto. 2025. “Generative Multimodal Models for Social Science: An Application with Satellite and Streetscape Imagery.” Sociological Methods & Research, online first.
- Than, Nga, Leanne Fan, Tina Law, Laura Nelson, and Leslie McCall. 2025. “Updating “The Future of Coding:” Qualitative Coding with Generative Large Language Models.” Sociological Methods & Research, online first.
- Law, Tina and Leslie McCall. 2024. "AI Policymaking: An Agenda for Sociological Research." Socius, 10.
- Kesari, Aniket, Jae Yeon Kim, Sono Shah, Taylor Brown, Tiago Ventura, and Tina Law (equal authorship). 2024. “Training Computational Social Science PhD Students for Academic and Non-Academic Careers.” PS: Political Science & Politics 57(1): 101–6.
- Law, Tina and Joscha Legewie. 2018. “Urban Data Science.” Pp. 1-12 in Emerging Trends in the Social and Behavioral Sciences, eds. R.A. Scott, M. Buchmann, and S.M. Kosslny. New York: John Wiley & Sons.