2015
DOI: 10.1073/pnas.1510159112
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Gender contributes to personal research funding success in The Netherlands

Abstract: We examined the application and review materials of three calls (n = 2,823) of a prestigious grant for personal research funding in a national full population of early career scientists awarded by the Netherlands Organization for Scientific Research (NWO). Results showed evidence of gender bias in application evaluations and success rates, as well as in language use in instructions and evaluation sheets. Male applicants received significantly more competitive "quality of researcher" evaluations (but not "quali… Show more

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Cited by 220 publications
(203 citation statements)
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“…Another very recent example is the scientific "debate" on PNAS (December 2015) where Volker and Steenbeek [43] reacted to a previous article of Van der Lee and Ellemers [42] which analyzed data about research grant in the Netherlands and claimed a gender bias. In their reaction, Volker and Steenbeek state that the overall gender effect borders on statistical significance and that the conclusion of Van der Lee and Ellemers could be a prime example of Simpson's paradox.…”
Section: Correlation Is Not Causationmentioning
confidence: 99%
“…Another very recent example is the scientific "debate" on PNAS (December 2015) where Volker and Steenbeek [43] reacted to a previous article of Van der Lee and Ellemers [42] which analyzed data about research grant in the Netherlands and claimed a gender bias. In their reaction, Volker and Steenbeek state that the overall gender effect borders on statistical significance and that the conclusion of Van der Lee and Ellemers could be a prime example of Simpson's paradox.…”
Section: Correlation Is Not Causationmentioning
confidence: 99%
“…A growing body of research reveals the multiple ways in which gender stereotypes unintentionally, or implicitly, bias evaluations of men's and women's professional work inside and outside academia [8,[44][45][46][47]. For example, studies that have found that subtle or implicit gender bias affect hiring decisions [46,[48][49][50][51][52][53][54][55], how letters of recommendation are written [56][57][58], how grant proposals are reviewed [59,60], how manuscripts are peer-reviewed at scientific journals [61], and evaluations of professional women's competence and likeability [48,62,63]. In other words, gender biases that emerge in evaluations of academic scientists and engineers are consistent with lessons from stereotyping research: in decision-making contexts with incomplete or ambiguous information, evaluators unintentionally use stereotypes to "fill in the gaps" and draw inferences about individuals' competence and worthiness based on those stereotypes [64,65].…”
Section: Valuing Collaborationmentioning
confidence: 99%
“…11,12 The National Institutes of Health in the US funded 14 grants in 2008 to study causal factors that promote and support the careers of women in biomedical sciences. 13 In the UK, the National Institutes of Health Research announced in 2011 that research funding would be contingent on universities receiving at least a Silver Award from the Athena Scientific Women's Academic Network Charter -an award that signifies institutional attempts to advance gender equality.…”
mentioning
confidence: 99%