Understanding current causes of women's underrepresentation in science

By S. Ceci, Wendy M. Williams. Proceedings of the National Academy of Sciences of the United States of America, 2011

1,069 citations recorded by the source corpus.

Subfields: Gender Studies, Safety Research

View Paper: https://www.semanticscholar.org/paper/e02b8efda7d902a20dfabf3953c3013b312378e5

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Citations in the corpus

The Gender-Equality Paradox in Science, Technology, Engineering, and Mathematics Education (2018, background): “The underrepresentation of girls and women in science, technology, engineering, and mathematics (STEM) fields is a worldwide phenomenon (Burke & Mattis, 2007; Ceci & Williams, 2011; Ceci, Williams, & Barnett, 2009; Cheryan, Ziegler, Montoya, & Jiang, 2017).”
Does the Gender Composition of Scientific Committees Matter? (2017, neutral): “According to meta-analyses by Ceci and Williams (2011) and Ceci et al. (2014), the more recent empirical evidence fails to provide any clear support to the assertions of discrimination in manuscript reviewing, interviewing, and hiring.”
Mentoring the Next Generation of Faculty: Supporting Academic Career Aspirations Among Doctoral Students (2016, background): “This finding suggests that while it may be the case that women’s underrepresentation in academic jobs is due to their ultimately making different choices as they enter the workforce (Ceci and Williams 2011), it seems that at the doctoral level they may be no less interested than men in pursuing acad”
Bias in peer review (2013, neutral): “…empirical research on gender bias in publication and grant outcomes has produced " data and interpretations which at times are contradictory " (Rees, 2011, p. 140), recent meta-analysis suggests that claims of gender bias in peer review " are no longer valid " (Ceci & Williams, 2011, p. 3,157).”
Men, women and STEM: Why the differences and what should be done? (2020, background): “…are biased in their favour.8 As well as finding little evidence for anti-female bias in hiring, Ceci andWilliams find little evidence for bias in college admission, recommendation letters, promotions, article acceptances, citations or grant funding (Ceci & Williams, 2011; Ceci et al., 2014, 2020).”
But You Don’t Look Like A Scientist!: Women Scientists with Feminine Appearance are Deemed Less Likely to be Scientists (2016, neutral): “Women remain disconcertingly underrepresented in STEM fields (science, technology, engineering, and math; National Science Foundation [NSF] 2015), in part due to differential gender roles (Eagly and Wood 2012; Eccles 1987), life goals (Ceci and Williams 2011; Diekman et al. 2010), and gender bias in”
Ingroup Experts and Peers as Social Vaccines Who Inoculate the Self-Concept: The Stereotype Inoculation Model (2011, background): “A surprising number of these high-performing individuals may choose to leave their academic or professional trajectory and opt for a different path (Ceci & Williams, 2011 ; Ceci, Williams, & Barnett, 2009 ; McArdle, 2008 ; Pinker, 2008 ; Rosenbloom et al, 2008 ).”
Women in Academic Science: Experimental Findings From Hiring Studies (2018, background): “After reviewing the corpus of studies on this issue, my colleagues and I concluded that there was no systematic bias against women’s grants (Ceci & Williams, 2010b, 2011).”
The Effect of Authentic Project-Based Learning on Attitudes and Career Aspirations in STEM. (2019, background): “Specifically, research suggests that URM students and women generally have more negative self-perceptions in STEM (Ceci & Williams, 2011; Ceci, Williams, & Barnett, 2009; Holmes & Hwang, 2016; Robnett, 2013; Zastavker et al., 2006), which is also what we found.”
Predicting Publication Success for Biologists (2013, methodology): “We included this factor because prior studies have suggested that female scientists generally produce fewer publications than do male scientists and are more poorly represented on the upper rungs of the academic ladder (Long 1992, Holt and Webb 2007, Ceci and Williams 2011, Dugdale et al. 2011).”
A multidisciplinary survey on discrimination analysis (2013, background): “Measures of group segregation have been proposed in a large body of literature (James and Tauber, 1985; Reardon & Firebaugh, 2002) to model group dissimilarity, isolation, and concentration, also taking into account the structure of social networks and social interactions (Echenique & Fryer, 2007).”
Gender Differences in Subjective Well-Being and Their Relationships with Gender Equality (2014, background): “The under-representation of women in traditionally male-dominated careers such as mathematics, engineering and computer science seems to be a major concern (Ceci and Williams 2011).”