A machine learning approach to quantify gender bias in collaboration practices of mathematicians

Collaboration practices have been shown to be crucial determinants of scientific careers. We examine the effect of gender on coauthorship-based collaboration in mathematics, a discipline in which women continue to be underrepresented, especially in higher academic positions. We focus on two key aspe...

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Bibliographic Details
Main Authors: Christian Steinfeldt, Helena Mihaljević
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Big Data
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2022.989469/full