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Levers of change: using mathematical models to compare gender equity interventions in universities
Women are under-represented in academic staff in universities worldwide. Our work builds on other studies of ‘demographic inertia'. We find that time will not bridge the gender representation gap in academia, and echo others in saying bold actions are required to reach parity. Our work then use...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9449479/ https://www.ncbi.nlm.nih.gov/pubmed/36133151 http://dx.doi.org/10.1098/rsos.220785 |
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author | James, Alex Brower, Ann |
author_facet | James, Alex Brower, Ann |
author_sort | James, Alex |
collection | PubMed |
description | Women are under-represented in academic staff in universities worldwide. Our work builds on other studies of ‘demographic inertia'. We find that time will not bridge the gender representation gap in academia, and echo others in saying bold actions are required to reach parity. Our work then uses New Zealand's unique system of scoring individual research performance to test empirically which levers universities should pull, and in which combinations. We combine individual research performance scores with 20 years of data from one university to parametrize a rank-structured mathematical model using Leslie matrices. Our model compares three key levers of change at universities' disposal—hiring, promotion and attrition. We apply the model to a bifurcated population of university staff—those with high research activity, and those who are moderately active—based on their national research quality score. We then test levers in various combinations that management could pull to improve gender representation. We find that the solutions are different for the high versus moderate research performers. For individuals with high research activity, universities should concentrate on equitable hiring practices. For those with more moderate research activity, more equitable promotion practices hold the key. |
format | Online Article Text |
id | pubmed-9449479 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-94494792022-09-20 Levers of change: using mathematical models to compare gender equity interventions in universities James, Alex Brower, Ann R Soc Open Sci Mathematics Women are under-represented in academic staff in universities worldwide. Our work builds on other studies of ‘demographic inertia'. We find that time will not bridge the gender representation gap in academia, and echo others in saying bold actions are required to reach parity. Our work then uses New Zealand's unique system of scoring individual research performance to test empirically which levers universities should pull, and in which combinations. We combine individual research performance scores with 20 years of data from one university to parametrize a rank-structured mathematical model using Leslie matrices. Our model compares three key levers of change at universities' disposal—hiring, promotion and attrition. We apply the model to a bifurcated population of university staff—those with high research activity, and those who are moderately active—based on their national research quality score. We then test levers in various combinations that management could pull to improve gender representation. We find that the solutions are different for the high versus moderate research performers. For individuals with high research activity, universities should concentrate on equitable hiring practices. For those with more moderate research activity, more equitable promotion practices hold the key. The Royal Society 2022-09-07 /pmc/articles/PMC9449479/ /pubmed/36133151 http://dx.doi.org/10.1098/rsos.220785 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Mathematics James, Alex Brower, Ann Levers of change: using mathematical models to compare gender equity interventions in universities |
title | Levers of change: using mathematical models to compare gender equity interventions in universities |
title_full | Levers of change: using mathematical models to compare gender equity interventions in universities |
title_fullStr | Levers of change: using mathematical models to compare gender equity interventions in universities |
title_full_unstemmed | Levers of change: using mathematical models to compare gender equity interventions in universities |
title_short | Levers of change: using mathematical models to compare gender equity interventions in universities |
title_sort | levers of change: using mathematical models to compare gender equity interventions in universities |
topic | Mathematics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9449479/ https://www.ncbi.nlm.nih.gov/pubmed/36133151 http://dx.doi.org/10.1098/rsos.220785 |
work_keys_str_mv | AT jamesalex leversofchangeusingmathematicalmodelstocomparegenderequityinterventionsinuniversities AT browerann leversofchangeusingmathematicalmodelstocomparegenderequityinterventionsinuniversities |