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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) Article e0220481. 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
Research Group:Social and personality psychology
Research Field:Gender psychology
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in psychology
UTAS Author:Hinder, MR (Associate Professor Mark Hinder)
ID Code:134244
Year Published:2019
Funding Support:Australian Research Council (FT150100406)
Web of Science® Times Cited:10
Deposited By:Psychology
Deposited On:2019-08-02
Last Modified:2022-08-23
Downloads:17 View Download Statistics

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