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Data-driven selection of conference speakers based on scientific impact to achieve gender parity
Citation
Vallence, AM and Hinder, MR and Fujiyama, H, Data-driven selection of conference speakers based on scientific impact to achieve gender parity, PLoS ONE, 14, (7) pp. 1-10. ISSN 1932-6203 (2019) [Refereed Article]
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Copyright Statement
Copyright 2019 Vallence et al. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
DOI: doi:10.1371/journal.pone.0220481
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.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | gender balance, diversity, equity in conference presentations |
| Research Division: | Psychology and Cognitive Sciences |
| Research Group: | Psychology |
| Research Field: | Gender Psychology |
| Objective Division: | Expanding Knowledge |
| Objective Group: | Expanding Knowledge |
| Objective Field: | Expanding Knowledge in Psychology and Cognitive Sciences |
| UTAS Author: | Hinder, MR (Dr Mark Hinder) |
| ID Code: | 134244 |
| Year Published: | 2019 |
| Funding Support: | Australian Research Council (FT150100406) |
| Deposited By: | Psychology |
| Deposited On: | 2019-08-02 |
| Last Modified: | 2019-09-05 |
| Downloads: | 1 View Download Statistics |
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