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  • 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,
    Bibliometric studies on gender disparities in science
    (2019)
    Halevi, G.
    Understanding gender related disparities in science is an essential step in tackling these issues. Through the years, bibliometric studies have designed several methodologies to analyze scholarly output and demonstrate that there are significant gaps between men and women in the scientific arena. However, gender identification in itself is an enormous challenge, since bibliographic data does not reveal it. These bibliometric studies not only focused on publication output and impact, but also on cross-referencing output, promotions and tenure data, and other related curriculum vitae (CV) information. This chapter discusses the challenges of tracking gender disparities in science through bibliometrics and reviews the various approaches taken by bibliometricians to identify gender and analyze the bibliographic data in order to point to gender disparities in science. © Springer Nature Switzerland AG 2019.
  • Item type:Publication,
    A machine learning approach to quantify gender bias in collaboration practices of mathematicians Open PDF 
    (2023)
    Steinfeldt, C
    ;
    Mihaljevic, H
    Collaboration practices have been shown to be crucial determinants of scientific careers. We examine the effect of gender on coauthorship-based collaboration in mathematics, a discipline in which women continue to be underrepresented, especially in higher academic positions. We focus on two key aspects of scientific collaboration-the number of different coauthors and the number of single authorships. A higher number of coauthors has a positive effect on, e.g., the number of citations and productivity, while single authorships, for example, serve as evidence of scientific maturity and help to send a clear signal of one's proficiency to the community. Using machine learning-based methods, we show that collaboration networks of female mathematicians are slightly larger than those of their male colleagues when potential confounders such as seniority or total number of publications are controlled, while they author significantly fewer papers on their own. This confirms previous descriptive explorations and provides more precise models for the role of gender in collaboration in mathematics.
  • Item type:Publication,
    Trends in authorship by women at Canadian universities 2006 to 2019 Open PDF 
    (Canadian Association for Information Science - Association canadienne des sciences de l'information, 2021)
    Demaine, Jeffrey
    Despite much progress since the mid-20th century, there still exists a disparity in the number of female academics relative to their male colleagues. This gender gap has come under increased focus as universities take steps to foster diversity and inclusiveness. Bibliometrics can provide a window into the gender disparity in research by measuring the metadata of academic publications. By determining the ratio of female to male authors, the gender bias at the level of the institution can be quantified. This study examines the proportion of female authors of academic articles at thirty Canadian universities across five broad fields of research.
  • Item type:Publication,
    Accelerating the Bending Arc Toward Equality: A Commentary on Gender Trends in Authorship in Psychiatry Journals Open PDF 
    (2019)
    Bearden, Carrie E.
    In this issue of Biological Psychiatry, Hart et al. (1) offer a compelling new analysis of gender trends in authorship in psychiatry journals over the past decade. Hart et al. (1) offer both good news and bad news. Want the good news first? There has been a significant increase in the percentage of women, as both first and last authors, over the past decade. In fact, near parity in gender representation has been achieved for first authors. Now for the bad news: women exhibit slower rates of transition to senior authorship—5 years for men and 9 years for women, on average. Why? There is not an obvious single answer, but there are a few key takeaways.