Response to “Response to Hoy, ‘Gender imbalance and brain stimulation conferences: We have a problem and it is everyone's problem’”

Hinder, Mark R.; Fujiyama, Hakuei; Vallence, Ann-Maree

doi:10.1016/j.brs.2016.11.014

Cited by 6 publications

(4 citation statements)

References 3 publications

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“…In the current study, the broad discipline of neuroscience was the exemplar; using keywords and the selection of specialist journals would make it possible to establish a database of potential speakers for a conference in a different discipline or for a focussed symposium within a conference. Indeed, we have previously shown that the proposed approach would be effective in the sub-discipline of brain stimulation [27]. The data from the current study are available online, and we recommend that conference program committees use these data (together with gender policy), as well as continue to collect data, to reduce gender disparity in invited speaker programs.…”

Section: Achieving High Quality Gender-balanced Conference Programsmentioning

confidence: 82%

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

2019

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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.

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Section: Achieving High Quality Gender-balanced Conference Programsmentioning

confidence: 82%

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

2019

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“…It is important to note that we recommend refining the data-driven approach using keywords and/or the selection of specialist journals to ensure that the resultant database of potential speakers is suitable for the target conference or focussed symposia within conferences. Indeed, we have previously shown that the proposed approach would be effective in the sub-discipline of brain stimulation 24 . Establishing the database of potential speakers is largely automated (exportation of publications, citations, and FWCI can be automated, and ranking of authors can be performed with simple code), and the identification of gender could be automated if journals request gender information.…”

Section: Discussionmentioning

confidence: 96%

A data-driven approach to selecting invited speakers at conferences: a step toward gender parity

Vallence

Fujiyama

2018

Preprint

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Short title:Speaker selection and gender parity. Abstract (one sentence):We present a data-driven approach that uses established metrics of scientific quality to select invited speakers; this approach enables gender parity in conference programs while ensuring high scientific standards.Gender disparity in academia has been acknowledged for some time. In science, technology, engineering, and mathematics (STEM), women represent approximately half of PhD graduates but only approximately a quarter of professors (1). Although calls for approaches to help achieve gender parity in STEM have been numerous, progress is slow.Recently, gender disparity in invited speaker presentations at scientific conferences has attracted much attention, with evidence of such disparity in STEM conference programs including (but not limited to) fields such as sport and exercise medicine (2), evolutionary biology (3), mathematics (4), ecology (5), and microbiology (6). In the field of neuroscience, BiasWatchNeuro has published gender data of speakers to increase accountability for gender disparity in conference programs; data extracted from BiasWatchNeuro (on 12/20/18) indicated that only 27% of invited speakers across ~400 neuroscience conferences (between 2014-2018) were women (7). Although some neuroscience conferences are attaining, or exceeding, parity in invited speakers, more than 80% of conferences have fewer than 50% women in their invited speaker programs (7). Given that such opportunities are critical for career development, approaches to achieve gender parity in conference programs while maintaining the high scientific standards expected in conferences programs are needed.

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“…Gender inequality in science is hotly debated, and this topic has been raised likewise in the brain stimulation community with regard to the unequal ratio of female and male speakers at conferences [1][2][3][4]. While this discussion represents only one symptom of a deeper lying problem [5,6], it is an immediate result of a lack of women in editorial boards and conference committees.…”

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confidence: 99%

“…The introduction of a simple measure such as a speaker policy can have a substantial impact. Speaker invitations should be based on scientific merit on the one hand and, on the other hand, should contribute to the scientific profile of young researchers [3].…”

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confidence: 99%

There is no magic in speaker policies: creating gender equality at brain stimulation conferences

Brem

Lehto

Keeser

et al. 2017

Eur Arch Psychiatry Clin Neurosci

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Response to “Response to Hoy, ‘Gender imbalance and brain stimulation conferences: We have a problem and it is everyone's problem’”

Cited by 6 publications

References 3 publications

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

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

A data-driven approach to selecting invited speakers at conferences: a step toward gender parity

There is no magic in speaker policies: creating gender equality at brain stimulation conferences

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