Dynamics of Gender Bias within Computer Science
<|reference_start|>Dynamics of Gender Bias within Computer Science: A new dataset (N = 7,456) analyzes women's research authorship in the Association for Computing Machinery's founding 13 Special Interest Groups or SIGs, a proxy for computer science. ACM SIGs expanded during 1970-2000; each experienced increasing women's authorship. But diversity abounds. Several SIGs had fewer than 10% women authors while SIGUCCS (university computing centers) exceeded 40%. 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 the entity of "computer science"), to examine under-studied dynamics within computer science that shaped changes in women's participation.<|reference_end|>
@article{misa2024dynamics,
    title={Dynamics of Gender Bias within Computer Science},
    author={Thomas J. Misa},
    journal={Information & Culture 59 no. 2 (2024): 161-81},
    year={2024},
    doi={10.7560/IC59203},
    archivePrefix={arXiv},
    eprint={2407.08102},
    primaryClass={cs.CY}
}