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Data-driven selection of conference speakers based on scientific impact to achieve gender parity
A lack of diversity limits progression of science. Thus, there is an urgent demand in science and the wider community for approaches that increase diversity, including gender diversity. We developed a novel, data-driven approach to conference speaker selection that identifies potential speakers base...
Autores principales: | Vallence, Ann-Maree, Hinder, Mark R., Fujiyama, Hakuei |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668823/ https://www.ncbi.nlm.nih.gov/pubmed/31365586 http://dx.doi.org/10.1371/journal.pone.0220481 |
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