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  • Item type:Publication,
    Does a gender-neutral name associate with the research impact of a scientist? Open PDF 
    (2022)
    Zhang, N.
    ;
    He, G.
    ;
    Shi, D.
    ;
    Zhao, Z.
    ;
    Li, J.
    Women have long suffered in both academia and industry from lower status, underrepresentation, unequal treatment, and other challenges based on gender. This paper explores whether a gender-neutral name is associated with the research impact of a scientist by examining three years of citations. The data for this study are derived from publications indexed in ISI's Web of Science (WoS) database from 2009 to 2015. By assigning a name neutralization index score to each author, we investigate the relationship between the neutralization index and citations and find the following results: (1) generally, the more neutral the name, the more citations the publications received; (2) the neutral effect was more pronounced for authors with feminine names than for authors with masculine names. © 2022
  • Item type:Publication,
    Gender bias in patenting process Open PDF 
    (2020)
    Wang, Y.
    ;
    Yang, Z.
    ;
    Liu, L.
    ;
    Wang, X.
    Collaboration among inventors is very important in patenting an invention. Inventors collaborate based on their professional knowledge and experience. Because of the non-disclosure nature of the invention process, it is difficult to test the factors influencing collaboration between inventors, e.g., gender bias. In this study, employing the US Patent and Trademark Office (USPTO) dataset with 6.64 million patents, we have identified the gender of 4.66 million inventors, including 2.12 million lead inventors and 2.54 million joint inventors. We find that women are underrepresented in the patent collaboration process and that both genders have strong preference for same-gender inventors. Moreover, even in those fields that have equal proportions of male and female inventors, gender bias persists. These results highlight the need to intensify efforts to combat gender bias in the patenting process rather than focusing solely on the lack of equal gender representation in the numerical proportions. © 2020 Elsevier Ltd.
  • Item type:Publication,
    No evidence of citation bias as a determinant of STEM gender disparities in US biochemistry, genetics and molecular biology research Open PDF 
    (2019)
    Thelwall, M.
    ;
    Nevill, T.
    The lack of females in many Science Technology, Engineering and Mathematics (STEM) subjects in the USA is an ongoing concern, with many initiatives attempting to redress this imbalance. Some life sciences are apparently areas of relatively good practice, with higher proportions of female researchers than most other STEM subjects. This paper assesses gender differences in research contributions to 14 biochemistry, genetics or molecular biology specialisms in the USA 1996–2014/8, seeking evidence of trends in publishing and citation impact that may give insights into female success. With four exceptions (biochemistry, biophysics, biotechnology, and structural biology), the fields achieved or maintained at least 40% female first authors by 2018, with developmental biology and endocrinology both attaining female first author majorities. A regression analysis found close to gender parity overall in citation impact but a small male first author citation advantage in more fields than the opposite: an up to 3% increase in logged citation ratio to the world mean. This was partly due to males first authoring with larger teams. Fields with relatively many females did not favour female-led research with more citations, however. © 2019, Akadémiai Kiadó, Budapest, Hungary.
  • Item type:Publication,
    Gender inequity in speaking opportunities at the American Geophysical Union Fall Meeting Open PDF 
    (Nature Publishing Group, 2018)
    Ford, Heather L.
    ;
    Brick, Cameron
    ;
    Blaufuss, Karine
    ;
    Dekens, Petra S.
    Implicit and explicit biases impede the participation of women in science, technology, engineering, and mathematic (STEM) fields. Across career stages, attending conferences and presenting research are ways to spread scientific results, find job opportunities, and gain awards. Here, we present an analysis by gender of the American Geophysical Union Fall Meeting speaking opportunities from 2014 to 2016. We find that women were invited and assigned oral presentations less often than men. However, when we control for career stage, we see similar rates between women and men and women sometimes outperform men. At the same time, women elect for poster presentations more than men. Male primary conveners allocate invited abstracts and oral presentations to women less often and below the proportion of women authors. These results highlight the need to provide equal opportunity to women in speaking roles at scientific conferences as part of the overall effort to advance women in STEM.
  • Item type:Publication,
    A gender bias habit-breaking intervention led to increased hiring of female faculty in STEMM departments Open PDF 
    (Academic Press Inc., 2017)
    Devine, P.G.
    ;
    Forscher, P.S.
    ;
    Cox, W.T.L.
    ;
    Kaatz, A.
    ;
    Sheridan, J.
    Addressing the underrepresentation of women in science is a top priority for many institutions, but the majority of efforts to increase representation of women are neither evidence-based nor rigorously assessed. One exception is the gender bias habit-breaking intervention (Carnes et al., 2015), which, in a cluster-randomized trial involving all but two departmental clusters (N = 92) in the 6 STEMM focused schools/colleges at the University of Wisconsin–Madison, led to increases in gender bias awareness and self-efficacy to promote gender equity in academic science departments and perceptions of a more positive departmental climate. Following this initial success, the present study compares, in a preregistered analysis, hiring rates of new female faculty pre- and post-manipulation. Whereas the proportion of women hired by control departments remained stable over time, the proportion of women hired by intervention departments increased by an estimated 18 percentage points (OR = 2.23, dOR = 0.34). Though the preregistered analysis did not achieve conventional levels of statistical significance (p < 0.07), the study has a hard upper limit on statistical power, as the cluster-randomized trial has a maximum sample size of 92 departmental clusters. These findings, however, have undeniable practical significance for the advancement of women in science, and provide promising evidence that psychological interventions can facilitate gender equity and diversity. © 2017 Elsevier Inc.