Jeffrey W. Lockhart
Jeff Lockhart is a James S. McDonnell Postdoctoral Fellow at the University of Chicago, in the Department of Sociology and the Knowledge Lab. He holds a PhD in Sociology from the University of Michigan as well as masters degrees in both gender studies and computer science. His research examines how identities such as sex, gender, sexuality, and race are constructed and contested in scientific, technological, and political arenas. Lockhart uses a mix of computational social science and qualitative archival methods in his research.
Recent Scholarship
Review: A Kaleidoscope of Identities: Reflexivity, Routine, and the Fluidity of Sex, Gender, and Sexuality
Contemporary Sociology: A Journal of Reviews Lockhart, Jeffrey W., 2024. "Review: A Kaleidoscope of Identities: Reflexivity, Routine, and the Fluidity of Sex, Gender, and Sexuality," by James W. Messerschmidt and Tristan Bridges, Lanham, MD: Rowman & Littlefield....
Gender, Sex, and the Constraints of Machine Learning Methods
Oxford Handbook of the Sociology of Machine Learning This chapter discusses the wide array of ways that gender and sex interact with machine learning (ML) and the artificial intelligence technologies that rely on it. Some of these interactions are intentional; others...
A gender hypothesis of sex disparities in adverse drug events
Social Science & Medicine Pharmacovigilance databases contain larger numbers of adverse drug events (ADEs) that occurred in women compared to men. The cause of this disparity is frequently attributed to sex-linked biological factors. We offer an alternative Gender...
Public Sociology
Computer algorithms infer gender, race and ethnicity. Here’s how to avoid their pitfalls
Nature Careers, July 5, 2023. DOI: 10.1038/d41586-023-02225-0
What sex-difference science misses about the messy reality of sex
Psyche Magazine, August 17, 2022 (31,000 readers in the first week.)
sex as a social construct
scatterplot, January 30, 2022 (This post has been read more than 14,000 times, retweeted over 5,200 times, and translated into 5 languages. Twitter lists 117k engagements and 2M impressions.)