To address this question, the authors used a hand - curated dataset of 2659 tenure - track computer science faculty members at 205 Ph.D. - granting departments across North America, which they had previously developed for a 2015 study of
faculty hiring networks.
Gender bias in hiring is not blatant, the authors found, but gender - associated differences in productivity, postdoctoral experience, and institutional prestige of degree - granting institutions — which are likely due to bias against women during the training process — largely account for the observed gender imbalance in computer science
faculty hiring networks.
A. Clauset, S. Arbesman, D. B. Larremore, Systematic inequality and hierarchy in
faculty hiring networks.
Ranking schools based on their position within
this faculty hiring network may be a more accurate predictor of a Ph.D. graduate's eventual academic placement than authoritative rankings by the U.S. News & World Report and the National Research Council, the authors say.
Not exact matches
Few universities advertise
faculty positions in
network science per se; with some exceptions,
network researchers are housed within disciplinary departments and must convince
hiring and tenure committees that their work constitutes a significant contribution to their home field.