Literature DB >> 30823713

Mathematical model of gender bias and homophily in professional hierarchies.

Sara M Clifton1, Kaitlin Hill2, Avinash J Karamchandani3, Eric A Autry4, Patrick McMahon5, Grace Sun1.   

Abstract

Women have become better represented in business, academia, and government over time, yet a dearth of women at the highest levels of leadership remains. Sociologists have attributed the leaky progression of women through professional hierarchies to various cultural and psychological factors, such as self-segregation and bias. Here, we present a minimal mathematical model that reveals the relative role that bias and homophily (self-seeking) may play in the ascension of women through professional hierarchies. Unlike previous models, our novel model predicts that gender parity is not inevitable, and deliberate intervention may be required to achieve gender balance in several fields. To validate the model, we analyze a new database of gender fractionation over time for 16 professional hierarchies. We quantify the degree of homophily and bias in each professional hierarchy, and we propose specific interventions to achieve gender parity more quickly.

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Year:  2019        PMID: 30823713     DOI: 10.1063/1.5066450

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  2 in total

1.  Levers of change: using mathematical models to compare gender equity interventions in universities.

Authors:  Alex James; Ann Brower
Journal:  R Soc Open Sci       Date:  2022-09-07       Impact factor: 3.653

2.  Risk Factors of Enterostomy Infection Caused by Bacterial Infection through Mathematical Modelling-Based Information Data Analysis.

Authors:  Jing Li; Xiaoyu Liu; Jun Chen
Journal:  J Healthc Eng       Date:  2021-10-16       Impact factor: 2.682

  2 in total

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