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
Adverse Drug Events by Sex After Adjusting for Baseline Rates of Drug Use
JAMA Network Open Although they have known limitations, spontaneous reporting pharmacovigilance databases like the US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) and World Health Organization VigiBase are widely cited as evidence for...
Name-Based Demographic Inference and the Unequal Distribution of Misrecognition
Nature Human Behavior Academics and companies increasingly draw on large datasets to understand the social world, and name-based demographic ascription tools are widespread for imputing information like gender and race that are often missing from these large datasets....
Because the Machine Can Discriminate: How Machine Learning Serves and Transforms Biological Explanations of Human Difference
Big Data & Society Research on scientific/intellectual movements, and social movements generally, tends to focus on resources and conditions outside the substance of the movements, such as funding and publication opportunities or the prestige and networks of...
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.)