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  • Item type:Publication,
    Women in Science. Experiences of Academics in Switzerland
    (Transcript, 2025-08-12)
    De Cia Annalisa
    ;
    Hellmüller, Sara
    ;
    Mesok Khan, Elizabeth
    Women in science face particular challenges, such as structural inequalities, highly competitive work environments, and at times toxic cultures. This collection conveys the experiences of women academics in Switzerland, featuring insights from twelve scholars across various universities and disciplines. Each contributor shares their unique journey in pursuit of a professorship, illustrating the rich diversity of the Swiss scientific community. This volume offers hope for those struggling with finding their place in science, emphasizing the joys and privileges that can be found in an academic career and the passion and perseverance of those pursuing it.
  • Item type:Publication,
    Women in Science: Where We Stand?—The WHEN Protocol Open PDF 
    (MDPI, 2025)
    Arnaboldi, Francesca
    ;
    Macagno, Alessia
    ;
    Villani, Marialuisa
    ;
    Biganzoli, Giacomo
    ;
    Bianchi, Francesca
    Gender disparity in scientific fields, identified with the acronym STEM, is a complex issue whose multiple causes have distant origins in time. In the early development of scientific disciplines, women were often denied access to education and professional opportunities, and their contributions to the scientific fields were frequently not recognized. These trends of underrepresentation gave rise to the male-dominated culture in STEM that persists today, as young women often lack female role models and are less likely to pursue careers in STEM, perpetuating the gender gap and limiting women’s influence and visibility in these fields. Here we present the protocol of the WHEN project, which aims to explore the perceptions that high-school students have of scientific careers and of the women in science, investigating whether gender stereotypes persist and can affect decisions about future paths. Through questionnaires, this study investigates the impact of socio-economic variables on the persistence of gender stereotypes and, most importantly, explores the potential for reducing them through direct engagement with female STEM role models.
  • Item type:Publication,
    Gender productivity gap among star performers in STEM and other scientific fields. Open PDF 
    (2018)
    Aguinis, Herman
    ;
    Ji, Young Hun
    ;
    Joo, Harry
    We examined the gender productivity gap in science, technology, engineering, mathematics, and other scientific fields (i.e., applied psychology, mathematical psychology), specifically among star performers. Study 1 included 3,853 researchers who published 3,161 articles in mathematics. Study 2 included 45,007 researchers who published 7,746 articles in genetics. Study 3 included 4,081 researchers who published 2,807 articles in applied psychology and 6,337 researchers who published 3,796 articles in mathematical psychology. Results showed that (a) the power law with exponential cutoff is the best-fitting distribution of research productivity across fields and gender groups and (b) there is a considerable gender productivity gap among stars in favor of men across fields. Specifically, the underrepresentation of women is more extreme as we consider more elite ranges of performance (i.e., top 10%, 5%, and 1% of performers). Conceptually, results suggest that individuals vary in research productivity predominantly because of the generative mechanism of incremental differentiation, which is the mechanism that produces power laws with exponential cutoffs. Also, results suggest that incremental differentiation occurs to a greater degree among men and certain forms of discrimination may disproportionately constrain women's output increments. Practically, results suggest that women may have to accumulate more scientific knowledge, resources, and social capital to achieve the same level of increase in total outputs as their male counterparts. Finally, we offer recommendations on interventions aimed at reducing constraints for incremental differentiation among women that could be useful for narrowing the gender productivity gap specifically among star performers. (PsycINFO Database Record (c) 2018 APA, all rights reserved).