The Unexpected Entry and Exodus of Women in Computing and HCI in India
Open accessAbstract
In India, women represent 45% of total computer science enrollment in universities, almost three times the rate in the United States, where it is 17%. At the same time, women make up an estimated 25-30% of the HCI community in India, half the rate in the U.S. We investigate the complexities of these surprising phenomena through qualitative research of Indian computer science and human-computer interaction researchers and professionals at various life stages. We find among other things that Indian familial norms play a significant role in pressuring young women into computing as a field; that familial pressures and workplace discrimination then cause a precipitous exit of women from computing at the onset of marriage; and that HCI occupies an interstitial space between art and technology that affects women's careers. Our findings underscore the societal influence on women's representation in the tech sector and invite further participation by the HCI community in related questions.
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Lending models imagined middle-class men as end-users, even though microfinance studies show women have high loan repayment rates.
“Many respondents described how lending models imagined middle-class men as end-users-even with many microfinance studies showing that women have high loan repayment rates [69,198].”
From Re-imagining Algorithmic Fairness in India and Beyond (2021) · cites this paper as [198]
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Cited by
Sorted by citations
Re-imagining Algorithmic Fairness in India and Beyond
Sambasivan, N., Arnesen, E., Hutchinson, B., Doshi, T., & Prabhakaran, V. (2021) · Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency · doi:10.1145/3442188.3445896 · Cited by 228 · see citing works
“9India fares slightly better than the US in gender representation in the tech workforce; however, gender roles and safety concerns lead to nearly 80% of women leaving computing by their thirties (coinciding with family/parenting responsibilities) [200].”
BackgroundSelf-citationTaking the Long, Holistic, and Intersectional View to Women’s Wellbeing
Kumar, N., Karusala, N., Ismail, A., & Tuli, A. (2020) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3397159 · Cited by 61 · see citing works
- Authors
- Thakkar, D., Sambasivan, N., Kulkarni, P., Kalenahalli Sudarshan, P., & Toyama, K.
- Affiliations
- Google (United States) (US)
- University of Michigan (US)
- Google Inc., Bangalore, Karnataka, India
- Venue
- Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2018-04-21
- Pages
- 1-12
- OpenAlex
- W2773069493
- Cited by
- 38
- References
- 45
- Citations by year
- 2026: 1 · 2025: 8 · 2024: 3 · 2023: 3 · 2022: 5 · 2021: 9 · 2020: 4 · 2019: 5
- FWCI
- 54.56
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Gender Studies › Gender and Technology in Education
- Social Sciences › Safety Research › Career Development and Diversity
- Physical Sciences › Computer Science › Information Systems › Information Systems Education and Curriculum Development
- Keywords
- women in computing, India, employment discrimination, women's careers
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