This ongoing collaboration with University of Virginia, the National Center for Science and Engineering Statistics and the Bureau of Economic Analysis, we use web scraping, computational text analysis and network analysis to measure the scope and impact of open-source software development.
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 collaboration with Matthew Weber and Itzhak Yanovitzky (Rutgers) uses discourse analysis and network analysis to follow how policymakers exchange evidence in congressional hearings.
In my dissertation, I examined how biomedical researchers produce racialized claims about testosterone, prostate cancer, and health disparities in biomedical research.