Gender parity: Not a foregone conclusion in all fields
Women constitute approximately 47 percent of the workforce yet they are still underrepresented at the highest levels of business, government, medical and academic hierarchies.
A team of researchers led by Sara Clifton from the University of Illinois at Urbana-Champaign has developed a new mathematical model to study the ascension of women through professional hierarchies, described in the journal Chaos. The model factors in the relative roles of bias and homophily (the tendency of people to seek others similar to themselves) in various fields. Unlike prior work, their new model predicts that gender parity is not inevitable and deliberate intervention may be required in various fields to achieve gender balance.
To validate the model, the team analyzed a new database of gender fractionation over time for 16 professional hierarchies. They quantified the impact of two major decision-makers as people ascend through hierarchies: those applying for promotion and those who grant promotions. Earlier studies have looked at how gender bias can affect those who grant promotions. "But few prior models have considered that people do self-segregate by gender," said Clifton. "If I am applying to a job and the interviewing committee has no women, I might feel uncomfortable and look for another organization that's more balanced."
The researchers found that fields with particularly strong homophily such as engineering or nursing are expected to become male- or female-dominated. Fields with apparently strong bias against women, such as academic chemistry, math or computer science, may never reach gender parity at the highest levels of leadership without outside intervention.
"One of the major surprises," said Clifton, "were the fields where gender bias and people's homophilic instincts don't have a big effect such as medicine and law. We predict they will move towards parity about as fast as turnover will allow."
These findings could help target resources to these fields where gender parity is not inevitable. "If you can identify what the main bottlenecks are, you can target those bottlenecks to reach gender parity," said Clifton.
For instance, in fields with a strong bias against women, hiring committees could be trained in unconscious bias, or policies could mandate that the number of promotions offered to women match the applicant pool. For fields with strong homophily, hiring committees could actively recruit women to apply for promotion or make the underrepresented gender more visible within the field.
More information: Sara M. Clifton et al, Mathematical model of gender bias and homophily in professional hierarchies, Chaos: An Interdisciplinary Journal of Nonlinear Science (2019). DOI: 10.1063/1.5066450
Journal information: Chaos
Provided by American Institute of Physics