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Dynamics of Gender Bias within Computer Science.

This article explores the issue of gender bias in computer science, specifically focusing on women's participation in research authorship within the ACM Special Interest Groups (SIGs). The data reveals that while there has been progress since 2009, women's participation still lags behind levels seen...

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Published in:Information & Culture Vol. 59; no. 2; pp. 161 - 182
Main Author: Misa, Thomas J.
Format: Article
Published: University of Texas Press 2024
Subjects:
Gender stereotypes
Computer science
Sex discrimination
Occupational segregation
Scientific computing
Women's empowerment
Abstraction (Computer science)
Computer science conferences
Computer vision
Online Access:View this record in EBSCOhost
Summary:This article explores the issue of gender bias in computer science, specifically focusing on women's participation in research authorship within the ACM Special Interest Groups (SIGs). The data reveals that while there has been progress since 2009, women's participation still lags behind levels seen in the mid-1980s. The article emphasizes the importance of understanding the nuances of gender bias within different subfields of computer science. It also highlights the limitations of using gender-identification software and the challenges of determining gender for non-American authors. The article suggests that efforts should be directed towards retaining women in SIGs with higher levels of women's authorship and promoting culture change in SIGs with lower levels. Further research is needed to gain a deeper understanding of gender bias and the specific cultures within different SIGs.