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  • Item type:Publication,
    A Protocol to Assess Contextual Factors During Program Impact Evaluation: A Case Study of a STEM Gender Equity Intervention in Higher Education Open PDF 
    (2023)
    Nobrega, S
    ;
    Edwards, K
    ;
    El Ghaziri, M
    ;
    Giacobbe, L
    ;
    Rice, S
    Program evaluations that lack experimental design often fail to produce evidence of impact because there is no available control group. Theory-based evaluations can generate evidence of a program's causal effects if evaluators collect evidence along the theorized causal chain and identify possible competing causes. However, few methods are available for assessing competing causes in the program environment. Effect Modifier Assessment (EMA) is a method previously used in smaller-scale studies to assess possible competing causes of observed changes following an intervention. In our case study of a university gender equity intervention, EMA generated useful evidence of competing causes to augment program evaluation. Top-down administrative culture, poor experiences with hiring and promotion, and workload were identified as impeding forces that might have reduced program benefits. The EMA addresses a methodological gap in theory-based evaluation and might be useful in a variety of program settings.
  • Item type:Publication,
    A “scientific diversity” intervention to reduce gender bias in a sample of life scientists Open PDF 
    (American Society for Cell Biology, 2016)
    Moss-Racusin, C.A.
    ;
    van der Toorn, J.
    ;
    Dovidio, J.F.
    ;
    Brescoll, V.L.
    ;
    Graham, M.J.
    Mounting experimental evidence suggests that subtle gender biases favoring men contribute to the underrepresentation of women in science, technology, engineering, and mathematics (STEM), including many subfields of the life sciences. However, there are relatively few evaluations of diversity interventions designed to reduce gender biases within the STEM community. Because gender biases distort the meritocratic evaluation and advancement of students, interventions targeting instructors’ biases are particularly needed. We evaluated one such intervention, a workshop called “Scientific Diversity” that was consistent with an established framework guiding the development of diversity interventions designed to reduce biases and was administered to a sample of life science instructors (N=126) at several sessions of the National Academies Summer Institute for Undergraduate Education held nationwide. Evidence emerged indicating the efficacy of the “Scientific Diversity” work-shop, such that participants were more aware of gender bias, expressed less gender bias, and were more willing to engage in actions to reduce gender bias 2 weeks after participating in the intervention compared with 2 weeks before the intervention. Implications for diversity interventions aimed at reducing gender bias and broadening the participation of women in the life sciences are discussed. © 2016 C. A. Moss-Racusin et al. CBE—Life Sciences Education.
  • Item type:Publication,
    The gender gap in science: How long until women are equally represented? Open PDF 
    (2018)
    Holman, Luke
    ;
    Stuart-Fox, Devi
    ;
    Hauser, Cindy E.
    Women comprise a minority of the Science, Technology, Engineering, Mathematics, and Medicine (STEMM) workforce. Quantifying the gender gap may identify fields that will not reach parity without intervention, reveal underappreciated biases, and inform benchmarks for gender balance among conference speakers, editors, and hiring committees. Using the PubMed and arXiv databases, we estimated the gender of 36 million authors from >100 countries publishing in >6000 journals, covering most STEMM disciplines over the last 15 years, and made a web app allowing easy access to the data (https://lukeholman.github.io/genderGap/). Despite recent progress, the gender gap appears likely to persist for generations, particularly in surgery, computer science, physics, and maths. The gap is especially large in authorship positions associated with seniority, and prestigious journals have fewer women authors. Additionally, we estimate that men are invited by journals to submit papers at approximately double the rate of women. Wealthy countries, notably Japan, Germany, and Switzerland, had fewer women authors than poorer ones. We conclude that the STEMM gender gap will not close without further reforms in education, mentoring, and academic publishing.
  • Item type:Publication,
    A Cultural Psychological Model of Cross-National Variation in Gender Gaps in STEM Participation Open PDF 
    (SAGE publications Inc, 2020)
    Soylu Yalcinkaya, N.
    ;
    Adams, G.
    Gender gaps in Science, Technology, Engineering, and Mathematics (STEM) participation are larger in societies where women have greater freedom of choice. We provide a cultural psychological model to explain this pattern. We consider how individualistic/post-materialistic cultural patterns in WEIRD (Western, Educated, Industrial, Rich, and Democratic) settings foster a self-expressive construction of academic choice, whereby affirming femininity/masculinity and ensuring identity fit become primary goals. Striving to fulfill these goals can lead men toward, and women away from, STEM pursuit, resulting in a large gender gap. In Majority World settings, on the contrary, collectivistic/materialistic cultural patterns foster a security-oriented construction, whereby achieving financial security and fulfilling relational expectations become primary goals of academic choice. These goals can lead both women and men toward secure and lucrative fields like STEM, resulting in a smaller gender gap. Finally, gender gaps in STEM participation feed back into the STEM=male stereotype. We discuss the implications of our model for research and theory, and intervention and policy. © 2020 by the Society for Personality and Social Psychology, Inc.
  • Item type:Publication,
    Who acknowledges who? A gender analysis
    (2019)
    Paul-Hus, A.
    ;
    Mongeon, P.
    ;
    Sainte-Marie, M.
    ;
    Larivière, V.
    Acknowledgements found in scholarly papers allow for credit attribution among non-authors—from individuals to organizations—that contributed to a piece of research. As such, they are associated with a different kind of recognition than authorship. While several studies have shown that social factors affect authorship and citation practices, few analyses have been performed on acknowledgements. Based on 878,250 acknowledgees mentioned in 291,167 papers published in 2015 retrieved from Web of Science, the objective of this work-in-progress is to better understand such credit attribution practices and how gender may influence them. Our results show that gender disparities generally found in authorship can be extended to acknowledgements, and that women are even more underrepresented in the acknowledgement than in the authors’ list of a paper. Our findings also confirm that women acknowledge proportionally more women. These results suggest that gender plays a role in the entire spectrum of credit attribution practices, from authorships to acknowledgements.
  • Item type:Publication,
    Explaining Course Enrollment Gaps in High School: Examination of Gender-Imbalance in the Applied Sciences Open PDF 
    (2023)
    Freeman, JA
    ;
    Gottfried, MA
    ;
    Odle, TK
    Federal policy in the United States has urged high schools to expand offerings in career and technical education (CTE) coursework to address persistent gender inequities in science, technology, engineering, mathematics, and medical (STEMM) fields. Unfortunately, gender composition in engineering and health sciences CTE enrollment is highly imbalanced and reflects postsecondary and labor market trends. Using data from the High School Longitudinal Study of 2009, we use decomposition techniques to examine which student, family, and school factors explain gender-imbalanced enrollment in STEMM-focused CTE courses. The results indicate student occupational expectations were the largest contributor to gender gaps across content areas.
  • Item type:Publication,
    Digital technology helps remove gender bias in academia Open PDF 
    (2021)
    Fortin, J.
    ;
    Bartlett, B.
    ;
    Kantar, M.
    ;
    Tseng, M.
    ;
    Mehrabi, Z.
    Science attempts to be a meritocracy; however, in recent years, there has been increasing evidence for systematic gender bias against women. This bias is present in many metrics commonly used to evaluate scientific productivity, which in turn influences hiring and career success. Here we explore a new metric, the Altmetric Attention Score, and find no evidence of bias across many major journals (Nature, PNAS, PLOS One, New England Journal of Medicine, Cell, and BioRxiv), with equal attention afforded to articles authored by men and women alike. The exception to this rule is the journal Science, which has marked gender bias against women in 2018, equivalent to a mean of 88 more tweets or 11 more news articles and a median of 20 more tweets or 3 more news articles for male than female first authors. Our findings qualify Altmetric, for many types and disciplines of journals, as a potentially unbiased measure of science communication in academia and suggest that new technologies, such as those on which Altmetric is based, might help to democratize academic evaluation. © 2021, Akadémiai Kiadó, Budapest, Hungary.
  • Item type:Publication,
    Overcoming the gender bias in ecology and evolution: is the double-anonymized peer review an effective pathway over time? Open PDF 
    (2023)
    Cassia-Silva, C
    ;
    Rocha, BS
    ;
    Lievano-Latorre, LF
    ;
    Sobreiro, MB
    ;
    Diele-Viegas, LM
    Male researchers dominate scientific production in science, technology, engineering, and mathematics (STEM). However, potential mechanisms to avoid this gender imbalance remain poorly explored in STEM, including ecology and evolution areas. In the last decades, changes in the peer-review process towards double-anonymized (DA) have increased among ecology and evolution (EcoEvo) journals. Using comprehensive data on articles from 18 selected EcoEvo journals with an impact factor >1, we tested the effect of the DA peer-review process in female-leading (i.e., first and senior authors) articles. We tested whether the representation of female-leading authors differs between double and single-anonymized (SA) peer-reviewed journals. Also, we tested if the adoption of the DA by previous SA journals has increased the representativeness of female-leading authors over time. We found that publications led by female authors did not differ between DA and SA journals. Moreover, female-leading articles did not increase after changes from SA to DA peer-review. Tackling female underrepresentation in science is a complex task requiring many interventions. Still, our results highlight that adopting the DA peer-review system alone could be insufficient in fostering gender equality in EcoEvo scientific publications. Ecologists and evolutionists understand how diversity is important to ecosystems' resilience in facing environmental changes. The question remaining is: why is it so difficult to promote and keep this "diversity" in addition to equity and inclusion in the academic environment? We thus argue that all scientists, mentors, and research centers must be engaged in promoting solutions to gender bias by fostering diversity, inclusion, and affirmative measures.
  • Item type:Publication,
    Standing on the Shoulders of (Male) Giants: Gender Inequality and the Technological Impact of Scientific Ideas
    (Social Science Research Network, 2022)
    Bikard, Michaël
    ;
    Fernandez-Mateo, Isabel
    We argue that gender inequality in science and technology means that ideas are less likely to be built upon if their author is a woman versus a man. Testing this empirically is challenging because men and women tend to work on different ideas whose potential is largely unobservable. To address this challenge, we exploit the occurrence of simultaneous discoveries in science – i.e., instances when a man and a woman have published the same idea around the same time – and track the citations to their subsequent publications in patented inventions. We find that scientific publications receive fewer patent citations, that is, they have a lower technological impact, when their main author is a woman. This gap is not driven by women’s lower propensity to produce patented inventions based on their own ideas, but rather by other inventors’ lower likelihood to build on those ideas. Additional analysis suggests that supply-side factors alone, such as the greater saliency of men’s work, are unlikely to drive our results. Rather, inventors seem to pay more attention to men’s ideas. Our research highlights that gender inequality shapes more than individuals’ careers. It also shapes the extent to which their ideas are used to create new technologies.