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  • Item type:Publication,
    Who Decides Matters: Female Representation and Academic Career Advancement
    (2024)
    Brunetti, Marianna
    ;
    Fabretti, Annalisa
    ;
    Zoli, Mariangela
    This paper investigates the gender gap in academic promotions. The theoretical model proposed, in which men and women collectively negotiate their career upgrades but with different bargaining power, predicts that the likelihood of career progression for women depends negatively on the share of female scholars among the eligible candidates and positively on the available resources and women’s bargaining power. We relate the latter to metrics of women’s relative representation, such as the Glass-Ceiling Index, the Female Ratio, and the Share of Females in the boards in charge of deciding about those promotions. Leveraging a novel and suitably built dataset covering the universe of Italian Universities’ Departments, we find robust evidence supporting these predictions. In particular, the probability of women being upgraded to associate and full professors is strongly and positively associated with the shares of women in the pool of professors in charge of deciding about those promotions.
  • 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.