Catalyst Cooperative
Katherine Lamb is a data scientist at Catalyst Cooperative, a worker-owned data cooperative. She's working to reveal the relationships between US utilities and the holding companies that own them. Utilities are often composed of a hierarchy of holding companies, and understanding shared ownership and thus political and economic interests is key for advocates working for a just clean energy transition.
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Katherine Lamb
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Chesapeake Climate Action Network & CCAN Action Fund
Data center growth in Virginia is causing a huge spike in energy demand, which is currently being met by huge fracked gas generation build-out in Virginia and the Southeast United States. Chesapeake Climate Action Network (CCAN) — the first grassroots nonprofit organization dedicated exclusively to fighting global warming in Maryland, Virginia, and Washington, D.C. — is working to educate Virginians on data center issues and CCAN Action Fund is working to advance common sense policies to ensure data center energy demand is met with clean energy.
Environmental Justice ActorDr. Luis Felipe R. Murillo
Dr. Luis Felipe R. Murillo is assistant professor in anthropology at University of Notre Dame. His work examines practices of collaboration in moral economies of computing. Across several research projects within and beyond the Global North, Dr. Murillo's work investigates how social movements and science and technology experts design and implement open technologies as responses to pressing social, political, and environmental issues.
Community Health and Collective Security Environmental JusticeRelated Actors by Service Area
Randi Williams
Dr. Randi Williams is an educator, tinkerer, and change agent at the forefront of AI and education. She earned her Ph.D. at the MIT Media Lab in 2024. As Program Manager at Algorithmic Justice League, her work equips researchers, policymakers, and everyday changemakers to responsibly use AI for positive social change.
Americas ActorAlgorithmic Justice League
Algorithmic Justice League works to unmask AI harms and biases, especially racial bias, discrimination, hate speech, and facial recognition technology.
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