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R499


Justice, Power, and Race in STS: A Roundtable Discussion on the Current State of STS 
Convenor:
Maya Cruz (The Ohio State University)
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Discussants:
Sarah McCullough (University of California, Davis)
Fernanda Yanchapaxi (University of Toronto)
Kristen Bos (University of Toronto)
Coleen Carrigan (University of Virginia)
Melissa Creary (University of Michigan)
Format:
Roundtable

Short Abstract:

This roundtable examines how STS scholars engage with epistemic and research justice, address histories of oppression interwoven into academia and the mechanisms of knowledge production, and what promise we see in feminist STS, Indigenous STS, and Critical Race and Ethnic Studies approaches to STS.

Long Abstract:

Feminist STS, Indigenous STS, and Critical Race and Ethnic Studies approaches to STS often foreground attention to the ways in which science, technology, and society are co-produced with intersecting structures of power like colonialism, imperialism, and racial capitalism to offer critical models, practices, theories, and methods that center accountability and responsibility to social justice and power – not only the social study of science and technology, but in scientific research and practice itself. This panel brings together a range of scholars working at the intersections of Feminist STS, Indigenous STS, and Critical Race and Ethnic Studies approaches to STS to offer an interdisciplinary conversation that highlights some of the many critical approaches and possibilities that we have for engaging with science and power and the urgent questions and demands for social justice that we face in STS in our current moment. This roundtable asks: How do structures of power (like racism, heteropatriarchy, racial capitalism, and colonialism, etc.) continue to shape the social study of science and technology, and scientific research, practice, and knowledge production – and how can we respond? What does it mean – and indeed what does it take – to craft social justice in and through the social study of science and technology, scientific research, practice, and knowledge production? What kinds of models, infrastructure, relationships, and practices can we turn towards or cultivate to do this work?