Data-driven selection of conference speakers based on scientific impact to achieve gender parity

Vallence, A-MORCID: 0000-0001-9190-6366, Hinder, M.R. and Fujiyama, H.ORCID: 0000-0002-7546-6636 (2019) Data-driven selection of conference speakers based on scientific impact to achieve gender parity. PLoS ONE, 14 (7).

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 Type:	Journal Article
Murdoch Affiliation(s):	Psychology, Counselling, Exercise Science and Chiropractic
Publisher:	Public Library of Science
Copyright:	© 2019 Vallence et al.
United Nations SDGs:	Goal 5: Gender Equality
URI:	http://researchrepository.murdoch.edu.au/id/eprint/50185

Item Control Page

Downloads