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Gender-based disparities and biases in science: An observational study of a virtual conference.
Zhang, Junhanlu; Torchet, Rachel; Julienne, Hanna.
Afiliação
  • Zhang J; European Synchrotron Radiation Facility, Grenoble, France.
  • Torchet R; Bioinformatics and Biostatistics Hub, Université Paris Cité, Institut Pasteur, Paris, France.
  • Julienne H; Bioinformatics and Biostatistics Hub, Université Paris Cité, Institut Pasteur, Paris, France.
PLoS One ; 18(6): e0286811, 2023.
Article em En | MEDLINE | ID: mdl-37285372
ABSTRACT
Success in STEM (Science, Technology, Engineering, and Math) remains influenced by race, gender, and socioeconomic status. Here, we focus on the impact of gender on question-asking behavior during the 2021 JOBIM virtual conference (Journées Ouvertes en Biologie et Mathématiques). We gathered quantitative and qualitative data including demographic information, question asking motivations, live observations and interviews of participants. Quantitative analyses include unprecedented figures such as the fraction of the audience identifying as LGBTQIA+ and an increased attendance of women in virtual conferences. Although parity was reached in the audience, women asked half as many questions as men. This under-representation persisted after accounting for seniority of the asker. Interviews of participants highlighted several barriers to oral expression encountered by women and gender minorities negative reactions to their speech, discouragement to pursue a career in research, and gender discrimination/sexual harassment. Informed by the study, guidelines for conference organizers have been written. The story behind the making of this study has been highlighted in a Nature Career article.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Assédio Sexual / Sexismo Tipo de estudo: Observational_studies / Qualitative_research Limite: Female / Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Assédio Sexual / Sexismo Tipo de estudo: Observational_studies / Qualitative_research Limite: Female / Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article