130049 20241125101150.0 doi 10.1371/journal.pcbi.1011284 sideral 136333 ART-2023-136333 eng Sebastián-González, Esther Ten simple rules for a mom-friendly Academia 2023 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/ES/MICINN CEX2021-001198 info:eu-repo/grantAgreement/ES/MICINN RYC-2017-22796 info:eu-repo/grantAgreement/ES/MICINN/RYC2019-027216-I info:eu-repo/grantAgreement/ES/MICINN/RYC2019-027247-I info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.8 2023 MATHEMATICAL & COMPUTATIONAL BIOLOGY 11 / 66 = 0.167 2023 Q1 T1 BIOCHEMICAL RESEARCH METHODS 15 / 85 = 0.176 2023 Q1 T1 1.652 2023 Cellular and Molecular Neuroscience 2023 Q1 Computational Theory and Mathematics 2023 Q1 Ecology 2023 Q1 Molecular Biology 2023 Q1 Genetics 2023 Q1 Modeling and Simulation 2023 Q1 Ecology, Evolution, Behavior and Systematics 2023 Q1 7.1 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Graciá, Eva Morán-Ordóñez, Alejandra Pérez-Ibarra, Irene Universidad de Zaragoza (orcid)0000-0003-0715-0418 Sanz-Aguilar, Ana Sobral, Mar 5011 235 Universidad de Zaragoza Dpto. CC.Agrar.y Medio Natural Área Econom.Sociol.Polit.Agra. 19, 8 (2023), e1011284 [12 pp.] PLoS Comput. Biol. PLOS COMPUTATIONAL BIOLOGY 1553-734X 426865 http://zaguan.unizar.es/record/130049/files/texto_completo.pdf Versión publicada 2511183 http://zaguan.unizar.es/record/130049/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:130049 articulos driver 2024-11-22-12:06:34 ARTICLE