Gendered hiring and attrition on the path to parity for academic faculty.


Journal

eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614

Informations de publication

Date de publication:
10 Jul 2024
Historique:
medline: 10 7 2024
pubmed: 10 7 2024
entrez: 10 7 2024
Statut: epublish

Résumé

Despite long-running efforts to increase gender diversity among tenured and tenure-track faculty in the U.S., women remain underrepresented in most academic fields, sometimes dramatically so. Here, we quantify the relative importance of faculty hiring and faculty attrition for both past and future faculty gender diversity using comprehensive data on the training and employment of 268,769 tenured and tenure-track faculty rostered at 12,112U.S. PhD-granting departments, spanning 111 academic fields between 2011 and 2020. Over this time, we find that hiring had a far greater impact on women's representation among faculty than attrition in the majority (90.1%) of academic fields, even as academia loses a higher share of women faculty relative to men at every career stage. Finally, we model the impact of five specific policy interventions on women's representation, and project that eliminating attrition differences between women and men only leads to a marginal increase in women's overall representation-in most fields, successful interventions will need to make substantial and sustained changes to hiring in order to reach gender parity.

Identifiants

pubmed: 38984481
doi: 10.7554/eLife.93755
pii: 93755
doi:
pii:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Air Force Office of Scientific Research
ID : FA9550-19-1-0329
Organisme : National Science Foundation
ID : SMA-2226343

Informations de copyright

© 2024, LaBerge et al.

Déclaration de conflit d'intérêts

NL, KW, AC, DL No competing interests declared

Auteurs

Nicholas LaBerge (N)

Department of Computer Science, University of Colorado, Boulder, United States.

Kenneth Hunter Wapman (KH)

Department of Computer Science, University of Colorado, Boulder, United States.

Aaron Clauset (A)

Department of Computer Science, University of Colorado, Boulder, United States.
BioFrontiers Institute, University of Colorado, Boulder, United States.
Santa Fe Institute, Santa Fe, United States.

Daniel B Larremore (DB)

Department of Computer Science, University of Colorado, Boulder, United States.
BioFrontiers Institute, University of Colorado, Boulder, United States.
Santa Fe Institute, Santa Fe, United States.

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Classifications MeSH