Amelia Lee Doğan
PhD Student
PhD student at University of Washington researching data systems for co-liberation and research affiliate at Data + Feminism Lab.
Amelia Lee Doğan (they/she) is a PhD student at the University of Washington researching how data systems and tools can be used for co-liberation. Additionally, Amelia is a research affiliate of the Data + Feminism Lab at MIT. This work is supported by an NSF GRFP and a University of Washington GSEE award. Previously, Amelia has worked at Lawrence Livermore National Laboratory, Google, and Charles River Watershed Association. Amelia received an undergraduate degree in urban planning with computer science and American studies from MIT. Born and residing on Coast Salish territories, Amelia was raised on Lenape land.
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Trans data epistemologies: Transgender ways of knowing with data
Big Data & Society · 2025
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Trans Data: A Research and Design Agenda from Trans Activists' Transformative Data Science
Proceedings of the ACM on Human-Computer Interaction · 2025
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Easy Come, Easy Go: Phone Enabled Small-Scale Financial Grift
2025
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The Toronto Water Atlas
2025
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"Down to Earth": Design Considerations for AI for Sustainability from the Environmental and Climate Movement
2025
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Interaction Design as a Form of Decolonial Care
2025
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Data activism and social media in the case of racialized and gendered deaths and disappearances
Feminist Media Studies · 2025
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Tomatoes Die: A Design Fiction for Grassroots Climate AI
Proceedings of the ACM on Human-Computer Interaction · 2025
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“Do you collect data to give to the university or do you do the work to benefit people?”: Indigenous Data Sovereignty in Environmental Contexts
Proceedings of the 6th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies · 2023
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Participatory Machine Learning Models in Feminicide News Alert Detection
Proceedings of the AAAI Conference on Artificial Intelligence · 2022
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Towards Intersectional Feminist and Participatory ML: A Case Study in Supporting Feminicide Counterdata Collection
2022 ACM Conference on Fairness, Accountability, and Transparency · 2022