Citation & reference lists

Women are cited less often than men, and are also underrepresented in syllabi. Yet even well-meaning scholars may find that they have difficulty assessing how gender-balanced their bibliographies and syllabi really are. Counting is tedious and prone to human error, and scholars 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.

Probabilistically assign gender and race proportions of first/last authors pairs in bibliography entries - dalejn/cleanBib

The goal of this project is to create an extension for Google Chrome that will display probabilistic gender information about the first and last authors of papers on Google Scholar and PubMed's search pages.