This project uses a mix of qualitative and computational methods to examine how population terms are used in testosterone research and the impact that this has on racial disparities in biomedical and behavioral research.
This ongoing collaborative project with Catherine Lee (Rutgers Sociology) uses computational text analysis to study the use of diversity and population terms in ~2.6M biomedical abstracts from 1990-2020
This ongoing collaboration with UVA and the National Center for Science and Engineering Statistics, we use web scraping, computational text analysis and network analysis to measure the scope and impact of open-source software development.
In this collaborative project with Kristen Springer (Rutgers) and Mary Himmelstein (Kent State), we studied how masculinity threats affect cardiovascular stress responses, which may accumulate over the life course to contribute to men's relatively worse cardiometabolic health.
This ongoing collaboration with Matthew Weber (Minnesota) and Itzhak Yanovitzky (Rutgers) uses discourse analysis and network analysis to follow how policymakers exchange evidence in congressional hearings.