Ten simple rules for a mom-friendly Academia

Sebastián-González, Esther ; Graciá, Eva ; Morán-Ordóñez, Alejandra ; Pérez-Ibarra, Irene (Universidad de Zaragoza) ; Sanz-Aguilar, Ana ; Sobral, Mar

Resumen: Women (and all gender-discriminated people) are underrepresented in science, especially in leadership positions and higher stages of the scientific career. One of the main causes of career abandonment by women is maternity, with many women leaving Academia after having their first child because of the career penalties associated with motherhood. Thus, more actions to help scientific moms to balance family and academic work are urgently needed to increase representation of women and other gender discriminated people in Academia. Besides mothers, these rules may also benefit other groups such as mothers-to-be, fathers, caregivers, and women in general. Increasing women representation in science, including mothers, is critical because equality is a fundamental right, and because more diverse working environments are more productive and get to more optimal solutions. Here, we describe 10 simple rules that can be adopted in Academia to halt the abandonment of scientific careers by women after motherhood. We strongly encourage their implementation to increase gender diversity and equality in science.

Idioma: Inglés

DOI: 10.1371/journal.pcbi.1011284

Año: 2023

Publicado en: PLOS COMPUTATIONAL BIOLOGY 19, 8 (2023), e1011284 [12 pp.]
ISSN: 1553-734X

Factor impacto JCR: 3.8 (2023)

Categ. JCR: MATHEMATICAL & COMPUTATIONAL BIOLOGY rank: 11 / 65 = 0.169 (2023) - Q1 - T1
Categ. JCR: BIOCHEMICAL RESEARCH METHODS rank: 15 / 85 = 0.176 (2023) - Q1 - T1

Factor impacto CITESCORE: 7.1 - Computational Theory and Mathematics (Q1) - Ecology, Evolution, Behavior and Systematics (Q1) - Modeling and Simulation (Q1) - Ecology (Q1) - Genetics (Q2) - Cellular and Molecular Neuroscience (Q2) - Molecular Biology (Q2)

Factor impacto SCIMAGO: 1.652 - Cellular and Molecular Neuroscience (Q1) - Computational Theory and Mathematics (Q1) - Ecology (Q1) - Molecular Biology (Q1) - Genetics (Q1) - Modeling and Simulation (Q1) - Ecology, Evolution, Behavior and Systematics (Q1)

Financiación: info:eu-repo/grantAgreement/ES/MICINN CEX2021-001198
Financiación: info:eu-repo/grantAgreement/ES/MICINN RYC-2017-22796
Financiación: info:eu-repo/grantAgreement/ES/MICINN/RYC2019-027216-I
Financiación: info:eu-repo/grantAgreement/ES/MICINN/RYC2019-027247-I

Tipo y forma: Article (Published version)

Área (Departamento): Área Econom.Sociol.Polit.Agra. (Dpto. CC.Agrar.y Medio Natural)