1. Dynamics of Gender Bias within Computer Science
- Author
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Misa, Thomas J.
- Subjects
United States. National Science Foundation -- Analysis ,United States. Social Security Administration -- Analysis ,Sexism -- Analysis ,Sex discrimination -- Analysis ,Computer science -- Analysis ,Pressure groups -- Analysis ,History ,Library and information science - Abstract
A new dataset (N = 7,456) analyzes women's research authorship in the Association for Computing Machinery's founding thirteen special interest groups (SIGs), a proxy for computer science. ACM SIGs expanded between 1970 and 2000; each experienced increasing women's authorship. But diversity abounds. Several SIGs had less than 10 percent women authors, while university computing centers (SIGUCCS) exceeded 40 percent. Three SIGs experienced accelerating growth in women's authorship; most, including a composite ACM, had decelerating growth. This research may encourage reform efforts, often focusing on general education or workforce factors (across 'computer science'), to examine understudied dynamics within computer science that shaped changes in women's participation. KEYWORDS: computer science, gender bias, Association for Computing Machinery, THERE IS SOME GOOD NEWS CONCERNING GENDER bias in computer science. Women's participation in computer science has improved in the years since the low point in 2009, when the respected [...]
- Published
- 2024
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