Please wait...
About This Project
Women are grievously underrepresented in the mathematical sciences. Because publication of research is key to academic career advancement and because research has repeatedly uncovered gender bias penalizing women in professional circumstances, we use tools of data science to study 600 mathematical sciences journal editorial boards. We quantify gender representation on these boards and examine its association with characteristics such as impact factor, publishing house, and mathematical subfield.
More Lab Notes From This Project

Browse Other Projects on Experiment
Related Projects
Mapping culturally and ecologically important berries from space
Berries are a crucial fall resource for a multitude of wildlife species including migratory birds, threatened...
Establishing the first technological network for long term ocean observations in Costa Rica
Costa Rica lacks extended time series of oceanographic data. To address this issue, our goal is to deploy...
Marine Biodiversity Protection Credit
Marine biodiversity protection credits have the potential to contribute to conserving 30% of the world's...