Gender and language use in scientific grant writing

Women in science, technology, engineering, and math are not equally represented across tenure-track career stages, and this extends to grant funding, where women applicants often have lower success rates compared with men. While gender bias in reviewers has been documented, it is currently unknown w...

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Main Authors: Mackenzie Urquhart-Cronish, Sarah P. Otto
Format: Article
Language:English
Published: Canadian Science Publishing 2019-09-01
Series:FACETS
Subjects:
Online Access:https://www.facetsjournal.com/doi/10.1139/facets-2018-0039
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spelling doaj-c1cfa8aa5c9d468f8f9e2e4311971e422020-11-25T01:27:12ZengCanadian Science PublishingFACETS2371-16712371-16712019-09-014144245810.1139/facets-2018-0039Gender and language use in scientific grant writingMackenzie Urquhart-Cronish0Sarah P. Otto1Biodiversity Research Centre, University of British Columbia, Vancouver, BC V6T 1Z4, Canada; Department of Botany, University of British Columbia, Vancouver, BC V6T 1Z4, CanadaBiodiversity Research Centre, University of British Columbia, Vancouver, BC V6T 1Z4, Canada; Department of Zoology, University of British Columbia, Vancouver, BC V6T 1Z4, CanadaWomen in science, technology, engineering, and math are not equally represented across tenure-track career stages, and this extends to grant funding, where women applicants often have lower success rates compared with men. While gender bias in reviewers has been documented, it is currently unknown whether written language in grant applications varies predictably with gender to elicit bias against women. Here we analyse the text of ∼2000 public research summaries from the 2016 Natural Sciences and Engineering Research Council (NSERC) individual Discovery Grant (DG) program. We explore the relationship between language variables, inferred gender and career stage, and funding levels. We also analyse aggregated data from the 2012–2018 NSERC DG competitions to determine whether gender impacted the probability of receiving a grant for early-career researchers. We document a marginally significant gender difference in funding levels for successful grants, with women receiving $1756 less than men, and a large and significant difference in rejection rates among early-career applicants (women: 40.4% rejection; men: 33.0% rejection rate). Language variables had little ability to predict gender or funding level using predictive modelling. Our results indicate that NSERC funding levels and success rates differ between men and women, but we find no evidence that gendered language use affected funding outcomes.https://www.facetsjournal.com/doi/10.1139/facets-2018-0039languagegendercareer stagefundingbiasNSERC
collection DOAJ
language English
format Article
sources DOAJ
author Mackenzie Urquhart-Cronish
Sarah P. Otto
spellingShingle Mackenzie Urquhart-Cronish
Sarah P. Otto
Gender and language use in scientific grant writing
FACETS
language
gender
career stage
funding
bias
NSERC
author_facet Mackenzie Urquhart-Cronish
Sarah P. Otto
author_sort Mackenzie Urquhart-Cronish
title Gender and language use in scientific grant writing
title_short Gender and language use in scientific grant writing
title_full Gender and language use in scientific grant writing
title_fullStr Gender and language use in scientific grant writing
title_full_unstemmed Gender and language use in scientific grant writing
title_sort gender and language use in scientific grant writing
publisher Canadian Science Publishing
series FACETS
issn 2371-1671
2371-1671
publishDate 2019-09-01
description Women in science, technology, engineering, and math are not equally represented across tenure-track career stages, and this extends to grant funding, where women applicants often have lower success rates compared with men. While gender bias in reviewers has been documented, it is currently unknown whether written language in grant applications varies predictably with gender to elicit bias against women. Here we analyse the text of ∼2000 public research summaries from the 2016 Natural Sciences and Engineering Research Council (NSERC) individual Discovery Grant (DG) program. We explore the relationship between language variables, inferred gender and career stage, and funding levels. We also analyse aggregated data from the 2012–2018 NSERC DG competitions to determine whether gender impacted the probability of receiving a grant for early-career researchers. We document a marginally significant gender difference in funding levels for successful grants, with women receiving $1756 less than men, and a large and significant difference in rejection rates among early-career applicants (women: 40.4% rejection; men: 33.0% rejection rate). Language variables had little ability to predict gender or funding level using predictive modelling. Our results indicate that NSERC funding levels and success rates differ between men and women, but we find no evidence that gendered language use affected funding outcomes.
topic language
gender
career stage
funding
bias
NSERC
url https://www.facetsjournal.com/doi/10.1139/facets-2018-0039
work_keys_str_mv AT mackenzieurquhartcronish genderandlanguageuseinscientificgrantwriting
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