Journal article
Data-driven selection of conference speakers based on scientific impact to achieve gender parity
PLoS ONE, Vol.14(7)
2019
Abstract
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 based on scientific impact metrics that are frequently used by researchers, hiring committees, and funding bodies, to convincingly demonstrate parity in the quality of peer-reviewed science between men and women. The approach enables high quality conference programs without gender disparity, as well as generating a positive spiral for increased diversity more broadly in STEM.
Details
- Title
- Data-driven selection of conference speakers based on scientific impact to achieve gender parity
- Authors/Creators
- A-M Vallence (Author/Creator) - Murdoch UniversityM.R. Hinder (Author/Creator) - University of TasmaniaH. Fujiyama (Author/Creator) - Murdoch University
- Publication Details
- PLoS ONE, Vol.14(7)
- Publisher
- Public Library of Science
- Identifiers
- 991005544230207891
- Copyright
- © 2019 Vallence et al.
- Murdoch Affiliation
- School of Allied Health
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
- Citation topics
- 1 Clinical & Life Sciences
- 1.14 Nursing
- 1.14.841 Gender Equity
- Web Of Science research areas
- Multidisciplinary Sciences
- ESI research areas
- Psychiatry/Psychology