Cargando…

Underrepresentation of women in computer systems research

The gender gap in computer science (CS) research is a well-studied problem, with an estimated ratio of 15%–30% women researchers. However, far less is known about gender representation in specific fields within CS. Here, we investigate the gender gap in one large field, computer systems. To this end...

Descripción completa

Detalles Bibliográficos
Autores principales: Frachtenberg, Eitan, Kaner, Rhody D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985950/
https://www.ncbi.nlm.nih.gov/pubmed/35385516
http://dx.doi.org/10.1371/journal.pone.0266439
_version_ 1784682449733681152
author Frachtenberg, Eitan
Kaner, Rhody D.
author_facet Frachtenberg, Eitan
Kaner, Rhody D.
author_sort Frachtenberg, Eitan
collection PubMed
description The gender gap in computer science (CS) research is a well-studied problem, with an estimated ratio of 15%–30% women researchers. However, far less is known about gender representation in specific fields within CS. Here, we investigate the gender gap in one large field, computer systems. To this end, we collected data from 72 leading peer-reviewed CS conferences, totalling 6,949 accepted papers and 19,829 unique authors (2,946 women, 16,307 men, the rest unknown). We combined these data with external demographic and bibliometric data to evaluate the ratio of women authors and the factors that might affect this ratio. Our main findings are that women represent only about 10% of systems researchers, and that this ratio is not associated with various conference factors such as size, prestige, double-blind reviewing, and inclusivity policies. Author research experience also does not significantly affect this ratio, although author country and work sector do. The 10% ratio of women authors is significantly lower than the 16% in the rest of CS. Our findings suggest that focusing on inclusivity policies alone cannot address this large gap. Increasing women’s participation in systems research will require addressing the systemic causes of their exclusion, which are even more pronounced in systems than in the rest of CS.
format Online
Article
Text
id pubmed-8985950
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-89859502022-04-07 Underrepresentation of women in computer systems research Frachtenberg, Eitan Kaner, Rhody D. PLoS One Research Article The gender gap in computer science (CS) research is a well-studied problem, with an estimated ratio of 15%–30% women researchers. However, far less is known about gender representation in specific fields within CS. Here, we investigate the gender gap in one large field, computer systems. To this end, we collected data from 72 leading peer-reviewed CS conferences, totalling 6,949 accepted papers and 19,829 unique authors (2,946 women, 16,307 men, the rest unknown). We combined these data with external demographic and bibliometric data to evaluate the ratio of women authors and the factors that might affect this ratio. Our main findings are that women represent only about 10% of systems researchers, and that this ratio is not associated with various conference factors such as size, prestige, double-blind reviewing, and inclusivity policies. Author research experience also does not significantly affect this ratio, although author country and work sector do. The 10% ratio of women authors is significantly lower than the 16% in the rest of CS. Our findings suggest that focusing on inclusivity policies alone cannot address this large gap. Increasing women’s participation in systems research will require addressing the systemic causes of their exclusion, which are even more pronounced in systems than in the rest of CS. Public Library of Science 2022-04-06 /pmc/articles/PMC8985950/ /pubmed/35385516 http://dx.doi.org/10.1371/journal.pone.0266439 Text en © 2022 Frachtenberg, Kaner https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Frachtenberg, Eitan
Kaner, Rhody D.
Underrepresentation of women in computer systems research
title Underrepresentation of women in computer systems research
title_full Underrepresentation of women in computer systems research
title_fullStr Underrepresentation of women in computer systems research
title_full_unstemmed Underrepresentation of women in computer systems research
title_short Underrepresentation of women in computer systems research
title_sort underrepresentation of women in computer systems research
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985950/
https://www.ncbi.nlm.nih.gov/pubmed/35385516
http://dx.doi.org/10.1371/journal.pone.0266439
work_keys_str_mv AT frachtenbergeitan underrepresentationofwomenincomputersystemsresearch
AT kanerrhodyd underrepresentationofwomenincomputersystemsresearch