Data-driven selection of conference speakers based on scientific impact to achieve gender parity.
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ABSTRACT:
SUBMITTER: Vallence AM
PROVIDER: S-EPMC6668823 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature
Publications
Data-driven selection of conference speakers based on scientific impact to achieve gender parity.
Vallence Ann-Maree AM Hinder Mark R MR Fujiyama Hakuei H
PloS one 20190731 7
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 an ...[more]
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