Recently, I received an email from Jane Summer who is a Ph.D. candidate in the Department of Political Science at Emory University and will be an Assistant Professor in the Department of Political Science at the University of Minnesota. She wrote some nice words about the genderizeR package:
Without this package, I never would have been able to implement the algorithm I needed to assess gender balance in syllabi, since RShiny doesn’t work well with https. Thanks so much for making it. It’s really great and makes using the genderize.io API so much easier.
Jane is the author of a Shiny app, which is an interesting use case for the genderizeR package;
How Gender-Balanced is Your Syllabus?
One of the explanations for the gender citation gap is that syllabi are disproportionately male. Thus, when students begin conducting their own research, most of their exposure has been to male researchers. Yet even well-meaning instructors may find that they have difficulty assessing how gender-balanced their syllabi really are. Counting is tedious and prone to human error, and instructors may not know the gender identities of all the authors they cite. This tool aims to help with that, by automating the process of evaluating the (probabilistic) gender of each name and then providing an estimate of what percentage of the authors on a syllabus are women.
I am glad that the package can be helpful for so many applications.