معرفی
Jeremy Freese is a Professor of Sociology at Stanford University, specializing in integrating biological and social science perspectives. His research spans quantitative methods, inequality, health sociology, demography, and the sociology of science and technology.
- Co-PI of major projects: Time-Sharing Experiments in the Social Sciences (TESS), General Social Survey (GSS), and Wisconsin Longitudinal Study (WLS)
- Developed Stata software tools for discrete-choice models and reproducibility
His work examines how social environments interact with genetic factors, addressing issues like health disparities, educational attainment, and methodological advancements in survey research. Recent publications focus on research transparency, computational social science, and statistical modeling.
Freese's methodological contributions include innovations in categorical regression analysis and reference category selection, while substantive work explores fertility's societal impacts and genetic influences on educational outcomes. He teaches graduate statistics and data analysis at Stanford.
- Developed open science frameworks for social research
- Advocates for institutional changes to improve research credibility
