Contributors

Alessandra Jungs de Almeida

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Alessandra Jungs de Almeida holds a Ph.D. in International Relations from the Federal University of Santa Catarina (UFSC), Brazil. She is a postdoctoral associate at the Women’s and Gender Studies Program at the Massachusetts Institute of Technology (MIT) and an affiliated researcher at the Data + Feminism Lab (MIT). As a feminist scholar, her work focuses on reproductive rights and gender-related violence.

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Amelia Lee Doğan

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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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Bianchi Dy

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Bianchi Dy is a data visualization practitioner and urban planner. Her research is focused on nighttime leisure travel. In the past, she has worked on projects involving urban science, data feminism, and participatory design.

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Catherine D'Ignazio

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Catherine D’Ignazio is a hacker mama, scholar, and artist/designer who focuses on feminist technology, data justice and civic engagement. She has run women’s health hackathons, designed global news recommendation systems, created talking and tweeting water quality sculptures, and led walking data visualizations to envision the future of sea level rise. Her 2020 book from MIT Press, Data Feminism, co-authored with Lauren Klein, charts a course for more ethical and empowering data science practices. Her second book, Counting Feminicide: Data Feminism in Action (MIT Press, 2024) is an extended case study about grassroots data activism to end gender-related violence. D’Ignazio is an Associate Professor of Urban Science and Planning in the Department of Urban Studies and Planning at MIT where she is the Director of the Data + Feminism Lab.

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Hongjin Lin

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Hongjin is a Ph.D. Candidate in Computer Science, advised by Professor Krzysztof Gajos. Her research lies at the intersection of AI and social justice, through both qualitative critical evaluation and technology development. She draws on feminist epistemology like Data Feminism and thoughtful community-based research methods that center relationships with people and nature. You can learn more about her work at https://sites.google.com/g.harvard.edu/hongjinlin.

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Isadora Cruxên

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Isadora Cruxên studies the political economy of development with a focus on Latin America and Brazil. Her recent work explores the politics of market-making and private investment in water infrastructures and in impact investing projects with a socio-environmental focus. This work bridges scholarship in development studies, political science, urban planning, and geography and engages issues such as financialisation, public-private collaboration, regulation, and business politics. Another vein of her work examines the politics of knowledge production in relation to forms of social struggle and participatory methods of research and planning. As a research affiliate at the Data + Feminism Lab at MIT, she co-leads the collaborative action-research project called “Data Against Feminicide,” which aims to understand data activism about feminicide and gender-related violence and work with activists to co-design technological tools that support their work. Some of this research has been featured in Science. Dr Cruxên holds a PhD in Political Economy, Development and Planning (2022) from the Massachusetts Institute of Technology (MIT), a Master in City Planning (2016) from MIT, and a bachelor’s degree in Political Science (2011) from the University of Brasília, Brazil.

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Kendra Albert

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Kendra Albert is a public interest technology and media lawyer and a recovering academic. Their scholarship focuses on the relationship between technology and power, with a particular attention to gender. You can find more about their work at kendraalbert.com.

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Nikko Stevens

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Dr. Nikko Stevens is a critical technology researcher, software engineer, and community organizer. As an academic, Stevens studies the ways that data infrastructures–data models, databases, data structures–can reinforce existing social inequality, and, crucially, how we can use data infrastructures to guide us towards the worlds we wish to build. As a software engineer, they led the architecture of web properties for billion-dollar corporations like Coca-Cola, Sony, and Instagram, and their work won numerous awards, including at SXSW. As a community organizer, Stevens’s work in the Drupal community earned them the Aaron Winborn Award and recognitions by Red Hat and The Linux Foundation. They are currently a postdoctoral researcher at MIT where they are writing _Abolitionist Engineering_, a book about data infrastructure, software engineering, and the contemporary prison abolition movement. As of Fall 2025, they are an Assistant Professor of Statistical and Data Sciences at Smith College.

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Sybille Legitime

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Sybille is a first year Ph.D. student in Computer Science at Brown University, advised by Harini Suresh. She is interested in researching how communities of non-programmers –especially those traditionally in the margins of power– can collectively understand, design, implement, and evaluate AI/ML systems.

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Yujia Gao

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Yujia Gao is a PhD student in Computer Science of Brown University advised by Harini Suresh. Her research focuses on understanding the societal impacts of AI systems through a sociotechnical perspective, hoping to support or co-design grassroots and community-driven AI systems that empower marginalized communities.

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