Towards Inclusive Infrastructures: Examining the Experiences of Gender Diverse People in University Systems
Open accessAbstract
Research on gender, identity, and technology has focused on designing individual systems for inclusivity, that is, examining how systems can represent transgender, nonbinary, gender non-conforming, and other gender diverse identities in affirming ways. Less is known about how infrastructures -that is, multiple loosely connected and long-lived systems-can be made inclusive. This gap is critical to address as systems rarely operate in isolation and infrastructures are pervasive in contemporary organizations. For example, universities maintain separate systems for applications, admissions, housing, and course management that only occasionally communicate with each other. This paper steps towards addressing this gap by examining the challenges gender diverse people face in navigating such complex infrastructures. Through a qualitative study consisting of 20 interviews, we find that participants encountered challenges unique to interconnected systems-such as slow and inconsistent updates to personal information and unexpected leaks of outdated information-that together created a perpetual risk of being misgendered by both systems and other users. To navigate such challenges, participants used workarounds such as seeking help from organizational insiders, piloting identity changes on a small scale, engaging in small acts of resistance, and strategically choosing which battles to fight. Participants expressed several goals for inclusive infrastructures: quick and consistent personal data updates; transparency around non-inclusive design decisions; safe and contextual data sharing practices; and community education to facilitate broader cultural change. We discuss novel insights on identity, representation, and inclusion, and present design implications to better support gender diverse people in technical infrastructures.
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Marginalized users must navigate fragmented university infrastructures through workarounds, insider support, and acts of resistance, revealing systemic gaps in inclusive design.
“Recent HCI work shows that marginalized users must navigate fragmented university infrastructures through workarounds, insider support, and acts of resistance, revealing systemic gaps in inclusive design [25].”
From Infrastructuring as Collective Resistance: How Disabled Students Negotiate Access Through Technology in Universities (2026) · cites this paper as [25]
The Introduction and Conclusion report that gender-diverse participants navigated loosely connected university systems through workarounds, help from insiders, and resistance, revealing systemic shortcomings. The claim broadens this finding to marginalized users generally, whereas the study concerns gender-diverse people affiliated with one institution. (LLM, conf=0.84)
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Cites
Steps toward an ecology of infrastructure: Design and access for large information spaces
Star, S. L., & Ruhleder, K. (1996) · Information Systems Research · doi:10.1287/isre.7.1.111 · Cited by 3,238 · see citing works
The Misgendering Machines: Trans/HCI Implications of Automatic Gender Recognition
Keyes, O. (2018) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3274357 · Cited by 505 · see citing works
Scheuerman, M. K., Paul, J. M., & Brubaker, J. R. (2019) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3359246 · Cited by 252 · see citing works
The Stuff of Bits: An Essay on the Materialities of Information
Dourish, P. (2017) · doi:10.7551/mitpress/10999.001.0001 · Cited by 132 · see citing works
Flagged first, then by citations
Research works printed but not linked: 33
- Ale-Ebrahim, B., Gohring, T., Fetterolf, E. and Gray, M.L. 2023. Pronouns in the Workplace: Developing Sociotechnical Systems for Digitally Mediated Gender Expression. Proceedings of the ACM on Human-Computer Interaction. 7, CSCW1 (Apr. 2023), 1-30. DOI:https://doi.org/10.1145/3579516. · DOI
- Bivens, R. and Haimson, O.L. 2016. Baking Gender Into Social Media Design: How Platforms Shape Categories for Users and Advertisers. Social Media + Society. 2, 4 (Oct. 2016), 205630511667248. DOI:https://doi.org/10.1177/2056305116672486. · DOI
- Bouma-Sims, E. and Acar, Y. 2023. Beyond the Boolean: How Programmers Ask About, Use, and Discuss Gender. Proceedings of the ACM on Human-Computer Interaction. 7, CSCW1 (Apr. 2023), 1-31. DOI:https://doi.org/10.1145/3579461. · DOI
- Broussard, M. 2019. Artificial unintelligence: how computers misunderstand the world. The MIT Press.
- Caine, K. 2016. Local Standards for Sample Size at CHI. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (San Jose California USA, May 2016), 981-992.
- Copeland, O.M. and Feldman, S. 2023. I'm not part of your cis-tem: Administrative violence and genderism in university record systems. Journal of Diversity in Higher Education. (Aug. 2023). DOI:https://doi.org/10.1037/dhe0000509. · DOI
- Creswell, J.W. 2009. Research design: qualitative, quantitative, and mixed methods approaches. Sage Publications.
- Currah, P. and Mulqueen, T. 2011. Securitizing Gender: Identity, Biometrics, and Transgender Bodies at the Airport. Social Research: An International Quarterly. 78, 2 (Jun. 2011), 557-582. DOI:https://doi.org/10.1353/sor.2011.0030. · DOI
- D'Ignazio, C. 2021. Outlier. Uncertain Archives. N.B. Thylstrup, D. Agostinho, A. Ring, C. D'Ignazio, and K. Veel, eds. The MIT Press. 377-388.
- D'Ignazio, C. and Klein, L. 2020. What Gets Counted Counts. Data Feminism. MIT Press.
- Estublier, J., Leblang, D., Hoek, A.V.D., Conradi, R., Clemm, G., Tichy, W. and Wiborg-Weber, D. 2005. Impact of software engineering research on the practice of software configuration management. ACM Transactions on Software Engineering and Methodology. 14, 4 (Oct. 2005), 383-430. DOI:https://doi.org/10.1145/1101815.1101817. · DOI
- Haimson, O.L. and Hoffmann, A.L. 2016. Constructing and enforcing "authentic" identity online: Facebook, real names, and non-normative identities. First Monday. (Jun. 2016). DOI:https://doi.org/10.5210/fm.v21i6.6791. · DOI
- Hamidi, F., Scheuerman, M.K. and Branham, S.M. 2018. Gender Recognition or Gender Reductionism? The Social Implications of Embedded Gender Recognition Systems. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (New York, NY, USA, 2018), 1-13.
- Hoffmann, A.L. 2017. Data, Technology, and Gender. Spaces for the Future: A Companion to Philosophy of Technology. J.C. Pitt and A. Shew, eds. Routledge.
- Jones, R., Seidelin, C.F., Neang, A.B. and Lee, C.P. 2023. Lessons Learned from a Comparative Study of Long-Term Action Research with Community Design of Infrastructural Systems. Proceedings of the ACM on Human-Computer Interaction. 7, CSCW1 (Apr. 2023), 1-35. DOI:https://doi.org/10.1145/3579502. · DOI
- Kaur, M., Sri Ramulu, H., Acar, Y. and Fiebig, T. 2023. "Oh yes! over-preparing for meetings is my jam :)": The Gendered Experiences of System Administrators. Proceedings of the ACM on Human-Computer Interaction. 7, CSCW1 (Apr. 2023), 1-38. DOI:https://doi.org/10.1145/3579617. · DOI
- Kirkland, A. 2021. Dropdown rights: Categorizing transgender discrimination in healthcare technologies. Social Science & Medicine. 289, (Nov. 2021), 114348. DOI:https://doi.org/10.1016/j.socscimed.2021.114348. · DOI
- Mackenzie, L.Z. 2017. The Afterlife of Data. TSQ: Transgender Studies Quarterly. 4, 1 (Feb. 2017), 45-60. DOI:https://doi.org/10.1215/23289252-3711529. · DOI
- Offenwanger, A., Milligan, A.J., Chang, M., Bullard, J. and Yoon, D. 2021. Diagnosing Bias in the Gender Representation of HCI Research Participants: How it Happens and Where We Are. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (New York, NY, USA, May 2021), 1-18.
- Restar, A., Jin, H., Breslow, A., Reisner, S.L., Mimiaga, M., Cahill, S. and Hughto, J.M.W. 2020. Legal gender marker and name change is associated with lower negative emotional response to gender-based mistreatment and improve mental health outcomes among trans populations. SSM -Population Health. 11, (Aug. 2020), 100595. DOI:https://doi.org/10.1016/j.ssmph.2020.100595. · DOI
- Ruberg, B. and Ruelos, S. 2020. Data for queer lives: How LGBTQ gender and sexuality identities challenge norms of demographics. Big Data & Society. 7, 1 (Jan. 2020), 205395172093328. DOI:https://doi.org/10.1177/2053951720933286. · DOI
- Saldaña, J. 2012. The Coding Manual for Qualitative Researchers. Sage Publications.
- Scheim, A.I., Perez-Brumer, A.G. and Bauer, G.R. 2020. Gender-concordant identity documents and mental health among transgender adults in the USA: a cross-sectional study. The Lancet Public Health. 5, 4 (Apr. 2020), e196-e203. DOI:https://doi.org/10.1016/S2468-2667(20)30032-3. · DOI
- Scheuerman, M.K., Jiang, A., Spiel, K. and Brubaker, J.R. 2021. Revisiting Gendered Web Forms: An Evaluation of Gender Inputs with (Non-)Binary People. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (New York, NY, USA, 2021).
- Seberger, J.S. and Bowker, G.C. 2021. Humanistic infrastructure studies: hyper-functionality and the experience of the absurd. Information, Communication & Society. 24, 12 (Sep. 2021), 1712-1727. DOI:https://doi.org/10.1080/1369118X.2020.1726985. · DOI
- Singh, R. and Jackson, S.J. 2017. From Margins to Seams: Imbrication, Inclusion, and Torque in the Aadhaar Identification Project. Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (Denver Colorado USA, May 2017), 4776-4824.
- Spade, D. 2015. Normal life: administrative violence, critical trans politics, and the limits of law. Duke University Press.
- Spiel, K. 2021. "Why Are They All Obsessed with Gender?" -(Non)Binary Navigations through Technological Infrastructures. Designing Interactive Systems Conference 2021 (New York, NY, USA, 2021), 478-494.
- Spiel, K., Keyes, O. and Barlas, P. 2019. Patching Gender: Non-binary Utopias in HCI. Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow Scotland Uk, May 2019), 1-11.
- Star, S.L. and Bowker, G.C. 2007. Enacting silence: Residual categories as a challenge for ethics, information systems, and communication. Ethics and Information Technology. 9, 4 (Dec. 2007), 273-280. DOI:https://doi.org/10.1007/s10676- 007-9141-7. · DOI · Paper page
- Star, S.L. and Strauss, A. 1999. Layers of Silence, Arenas of Voice: The Ecology of Visible and Invisible Work. Computer Supported Cooperative Work. (1999). DOI:https://doi.org/10.1023/A:1008651105359. · DOI · Paper page
- Vorvoreanu, M., Zhang, L., Huang, Y.-H., Hilderbrand, C., Steine-Hanson, Z. and Burnett, M. 2019. From Gender Biases to Gender-Inclusive Design: An Empirical Investigation. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow Scotland Uk, May 2019), 1-14.
- Weathington, K. and Brubaker, J.R. 2023. Queer Identities, Normative Databases: Challenges to Capturing Queerness On Wikidata. Proceedings of the ACM on Human-Computer Interaction. 7, CSCW1 (Apr. 2023), 1-26. DOI:https://doi.org/10.1145/3579517. Received October 2024; revised April 2025; accepted August 2025. · DOI
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Kim Ly, C., Cross, T., Tasman, S., Mattka, J., Doggett, O., Marathe, M., & Chandra, P. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791638
“Recent HCI work shows that marginalized users must navigate fragmented university infrastructures through workarounds, insider support, and acts of resistance, revealing systemic gaps in inclusive design [25].”
Self-citation
- Authors
- Kirks-Cler, D. N., Safford, S., & Marathe, M.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- Cornell University, Ithaca, NY, USA
- Simon Fraser University (CA)
- Venue
- Proceedings of the ACM on Human-Computer Interaction
- Published
- 2025-10-16
- Volume
- 9
- Issue
- 7
- Pages
- 1-28
- ISSN
- 2573-0142 (ISSN-L)
- OpenAlex
- W4415250938
- Cited by
- 4
- References
- 4
- Citations by year
- 2026: 4
- FWCI
- 4.43
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Proceedings of the ACM on Human-Computer Interaction (publishedVersion, cc-by)
- Topics
- Social Sciences › Psychology › Social Psychology › LGBTQ Health, Identity, and Policy
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- gender-diverse people, inclusive infrastructure, university system, misgendering, personal information management, identity management, interconnected systems, data sharing, workarounds, resistance, identity representation, higher education
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