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Author: search.filters.author.Frachtenberg, E.Subject: search.filters.subject.Women in Science

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  • Item type:Publication,
    Gender Differences in Collaboration Patterns in Computer Science Open PDF 
    (2022)
    Yamamoto, J.
    ;
    Frachtenberg, E.
    The research discipline of computer science (CS) has a well-publicized gender disparity. Multiple studies estimate the ratio of women among publishing researchers to be around 15–30%. Many explanatory factors have been studied in association with this gender gap, including differences in collaboration patterns. Here, we extend this body of knowledge by looking at differences in collaboration patterns specific to various fields and subfields of CS. We curated a dataset of nearly 20,000 unique authors of some 7000 top conference papers from a single year. We manually assigned a field and subfield to each conference and a gender to most researchers. We then measured the gender gap in each subfield as well as five other collaboration metrics, which we compared to the gender gap. Our main findings are that the gender gap varies greatly by field, ranging from 6% female authors in theoretical CS to 42% in CS education; subfields with a higher gender gap also tend to exhibit lower female productivity, larger coauthor groups, and higher gender homophily. Although women published fewer single-author papers, we did not find an association between single-author papers and the ratio of female researchers in a subfield. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
  • Item type:Publication,
    Representation of women in HPC conferences
    (2021)
    Frachtenberg, E.
    ;
    Kaner, R.D.
    Women are acutely underrepresented in the HPC workforce. Addressing this gap requires accurate metrics on the representation of women and its associated factors. The goal of this paper is to provide current, broad, and reproducible data on this gender gap. Specifically, this study provides in-depth statistics on women s representation in HPC conferences, especially for authors of peer-reviewed papers, who serve as the keystone for future advances in the field. To this end, we analyzed participant data from nine HPC and HPC-related peer-reviewed conferences. In addition to gender distributions, we looked at post-publication citation statistics of the papers and authors research experience, country, and work sector. Our main finding is that women represent only 10% of all HPC authors, with large geographical variations and small variations by sector. Representation is particularly low at higher experience levels. This 10% ratio is lower than even the 20 30% ratio in all computer science. © 2021 IEEE Computer Society. All rights reserved.