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This panel was the second activity in the TNB-CER workshop series intended to bring us together to push beyond our disciplinary boundaries to produce policy, practice, and research for and by trans and nonbinary people in computing. 

This panel was meant to provide us with a common springboard  from which to launch our January co-working experience. In particular, this panel attempted to dig deeper into the framework of intersectionality as it is currently used and misused in computing education research, policy, and practice. 

Take a moment (or several) to read through the bios and some recommended readings from each of the panelists on this page.


We've embedded below a recording of the conversation along with an AI-generated, human-checked transcript and the saved zoom chat log. 


Please contact Stacey at with any comments or questions.

Stephanie T. Jones


Bio: Stephanie Jones (they/she) is a 5th year Computer Science and Learning Science PhD Student at Northwestern University’s School of Education and Social Policy; She is a graduate of Villanova University with Bachelors degrees in Computer Engineering and Electrical Engineering and a Minor in Computer Science. Their current research interests, as a part of the tiilt lab (technological innovations for inclusive learning and teaching) with Professor Marcelo Worlsey include intergenerational learning opportunities, building technologies that are personally relevant, and the relationship between anti-Blackness and computing. Blending research and ancestral knowledge she asks what does it mean to come from a legacy of people who fought to learn and teach?


Recommended readings:

Brianna Blaser

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Through her work at the DO-IT Center at the University of Washington, Brianna Blaser works to increase the participation of people with disabilities in science and engineering careers. She is the associate director for AccessComputing and AccessADVANCE. Her work includes direct interventions for individuals with disabilities and working with faculty, employers, and other stakeholders to create institutional change.

Blaser, B., & Ladner, R. E. (2020). Why is data on disability so hard to collect and understand? In proceedings from RESPECT '20: The 5th international conference on Research in Equity and Sustained Participation in Engineering, Computing, and Technology, 19-26. (Author note: I feel like there's a bit of a footnote required in that there's been some progress on getting folks to collect/report some data in the last couple of years!)

Nikki Stevens


Hi! I’m Dr. Nikki Stevens. I am a researcher, a technical architect, and an open source community member. I am currently a researcher at Dartmouth College, working in the Digital Justice Lab. Click to read more about me.


Here are some of my selected works:

The most well-developed example of these methods in practice is in my dissertation, Modeling Power: Data Models and the Production of Social Inequality.

Stevens, Nikki L., Anna Lauren Hoffman, Sarah Florini. “The Unremarked Optimum: Whiteness, Optimization, and Control in The Database Revolution.” Review of Communication. June 2021.

Stevens, Nikki L. and Os Keyes. “The Domestication of Facial Recognition Technology.” Cultural Studies. March 2021

Stevens, Nikki L. “Dataset Failures and Intersectional Data.” Journal of Cultural Analytics. March 2019.

Stevens, Nikki L. and Jacqueline Wernimont. “Seeing 21st Century Data Bleed through the 15th Century Wound Man.” IEEE Technology and Society. December 2018

Alex Kapitan

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Alex Kapitan is a queer and trans trainer, speaker, consultant, editor, and activist who left the world of nonfiction book publishing to start Radical Copyeditor, an anti-oppressive language project. Alex works with clients as varied as publishing companies, academic journals, activist organizations, museums, and healthcare professionals, helping people align their words with their values with regard to race, class, dis/ability, sexuality, gender, religion, and more, rooted in the idea that because words describe and create reality, we have a responsibility to describe and create the best possible reality we can imagine.

The best accompanying suggested reading would probably be the page "All About Radical Copyediting" on my website.

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This material is based upon work supported by the National Science Foundation (Award #2233622). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

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