Data-driven selection of conference speakers based on scientific impact to achieve gender parity.
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 base...
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Online Access: | https://doi.org/10.1371/journal.pone.0220481 |
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doaj-63556335187f487f99ac118eebb21dae2021-03-03T19:52:12ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01147e022048110.1371/journal.pone.0220481Data-driven selection of conference speakers based on scientific impact to achieve gender parity.Ann-Maree VallenceMark R HinderHakuei FujiyamaA 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.https://doi.org/10.1371/journal.pone.0220481 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ann-Maree Vallence Mark R Hinder Hakuei Fujiyama |
spellingShingle |
Ann-Maree Vallence Mark R Hinder Hakuei Fujiyama Data-driven selection of conference speakers based on scientific impact to achieve gender parity. PLoS ONE |
author_facet |
Ann-Maree Vallence Mark R Hinder Hakuei Fujiyama |
author_sort |
Ann-Maree Vallence |
title |
Data-driven selection of conference speakers based on scientific impact to achieve gender parity. |
title_short |
Data-driven selection of conference speakers based on scientific impact to achieve gender parity. |
title_full |
Data-driven selection of conference speakers based on scientific impact to achieve gender parity. |
title_fullStr |
Data-driven selection of conference speakers based on scientific impact to achieve gender parity. |
title_full_unstemmed |
Data-driven selection of conference speakers based on scientific impact to achieve gender parity. |
title_sort |
data-driven selection of conference speakers based on scientific impact to achieve gender parity. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2019-01-01 |
description |
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. |
url |
https://doi.org/10.1371/journal.pone.0220481 |
work_keys_str_mv |
AT annmareevallence datadrivenselectionofconferencespeakersbasedonscientificimpacttoachievegenderparity AT markrhinder datadrivenselectionofconferencespeakersbasedonscientificimpacttoachievegenderparity AT hakueifujiyama datadrivenselectionofconferencespeakersbasedonscientificimpacttoachievegenderparity |
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