Overview

Dr. Andrea Haverkamp (she/her) is a queer/trans labor organizer and engineering academic. She holds a Ph.D. in Environmental Engineering with a doctoral minor field in Queer Studies from Oregon State University. Her research explores the experiences of transgender and gender nonconforming students in engineering and computer science, such as their sources of community support and collective resiliency, as well as the connections between anti-trans discourse and radicalization pathways within STEM and nerd online communities. She is currently a union organizer for education workers in the American Federation of Teachers - Oregon.

Recommended reading/listening:

[Article] Calling for a Paradigm Shift in the Study of Gender in Engineering Education - Haverkamp et al, 2021 https://www.seejournal.org/articles/10.21061/see.34/

[Article] Factors Influencing Retention of Transgender and Gender Nonconforming Students in Undergraduate STEM Majors - Maloy et al, 2022 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9250371/ 

[Podcast] Cybersecurity for Trans People - Translash Podcast with Imara Jones https://podcasts.apple.com/us/podcast/translash-podcast-with-imara-jones/id1527477503 or https://translash.org/podcast/

Vagrant Gautam is a computer scientist and linguist with personal and professional experience in Gender™. Xe is currently a PhD student at Saarland University where xe works broadly on problems with computers and language - speech, chatbots, generation and more, in German and English, and sometimes with neopronouns. Xe dreams of and is working towards a future with more neopronouns and fewer gender classifiers.

Recommended readings etc.:

• The Coloniality of Gender - María Lugones

• Nuance and normativity in trans linguistic research - Lex Konnelly

• Welcome to the Modern World of Pronouns: Identity-Inclusive Natural Language Processing beyond Gender - Anne Lauscher, Archie Crowley, Dirk Hovy

• The Misgendering Machines: Trans/HCI Implications of Automatic Gender Recognition - Os Keyes

• Theories of “Gender” in NLP Bias Research - Hannah Devinney, Jenny Björklund, Henrik Björklund

• You Keep Using That Word: Ways of Thinking about Gender in Computing Research - Os Keyes, Chandler May, Annabelle Carrell

• Feeling fixes: mess and emotion in algorithmic audits - Os Keyes, Jeannie Austin

• "Why are they all obsessed with Gender?" — (Non)binary Navigations through Technological Infrastructures - Katta Spiel

• Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies - Sunipa Dev, Masoud Monajatipoor, Arjun Subramonian, Jeff Phillips, Kai-Wei Chang

• Gender as a Variable in Natural-Language Processing: Ethical Considerations - Brian Larson

• Gender Recognition or Gender Reductionism?: The Social Implications of Embedded Gender Recognition Systems - Foad Hamidi, Morgan Klaus Scheuerman, Stacy M. Branham

• Rebuilding Trust: Queer in AI Approach to Artificial Intelligence Risk Management - QueerInAI Organizers, Ashwin S, William Agnew, Hetvi Jethwani, Arjun Subramonian

• Revisiting Gendered Web Forms: An Evaluation of Gender Inputs with (Non-)Binary People - Morgan Klaus Scheuerman, Jialun Aaron Jiang, Katta Spiel, Jed R. Brubaker

• Stone Butch Blues - Leslie Feinberg

• Evan Greer

• The Hirs Collective

Morgan Klaus Scheuerman is a PhD Candidate of Information Science at University of Colorado Boulder and a 2021 MSR Research Fellow. His research focuses on the intersection of technical infrastructure and marginalized identities. In particular, he examines how gender and race characteristics are embedded into algorithmic infrastructures and how those permeations influence the entire system.  

Recommended reading:

- Morgan Klaus Scheuerman, Jacob M Paul, and Jed R. Brubaker. 2019. How Computers See Gender: An Evaluation of Gender Classification in Commercial Facial Analysis and Image Labeling Services. Proc. ACM Hum.-Comput. Interact. 3, CSCW: Article 144. https://doi.org/10.1145/3359246

- Morgan Klaus Scheuerman, Madeleine Pape, and Alex Hanna. 2021. Auto-essentialization: Gender in automated facial analysis as extended colonial project. Big Data & Society. https://journals.sagepub.com/doi/pdf/10.1177/20539517211053712

Everything is available here: https://www.morgan-klaus.com/research.html

Max is a PhD Candidate in Critical and Sociocultural Studies of Education, at the University of Oregon. His research is focused on social justice in Computer Science (CS) education and democratizing the field of CS. He examines how gender is theorized and put to practice in Computer Science education research and how this impacts non-binary and transgender people in computing education and employment. Max has an MS in CS and worked as a software engineer for over a decade. He currently teaches CS classes and Courageous Conversations at an alternative public high school as an openly queer transgender person. He is involved in multiple grassroots efforts to support non-binary and transgender people in Oregon.