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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889827/ https://www.ncbi.nlm.nih.gov/pubmed/36743404 http://dx.doi.org/10.3389/fdata.2022.989469 |