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P090


Racialized extraction in the sciences 
Convenors:
Aida Arosoaie (University of Wisconsin-Madison)
Elizabeth Hennessy (University of WisconsinMadison)
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Chair:
Aida Arosoaie (University of Wisconsin-Madison)
Discussant:
Elizabeth Hennessy (University of WisconsinMadison)
Format:
Traditional Open Panel
Location:
NU-4B47
Sessions:
Tuesday 16 July, -
Time zone: Europe/Amsterdam

Short Abstract:

How and to what ends is race operationalized as a technology of extraction in the sciences? This panel will discuss the utility of racialized extraction as an analytical nexus for understanding the interdependence between race and science.

Long Abstract:

This panel seeks to enable a conversation on racialized extraction in the sciences to disentangle the numerous ways in which STEM facilitates and reinforces racialized categories. Drawing from scholars of Critical Race Theory and Postcolonial and Indigenous Studies who have foregrounded race in the production of modern knowledge (e.g., Wynter 2003; McKittrick 2020; Liboiron 2020; Benjamin 2016), we seek to discuss: how and to what ends is race operationalized as a technology of extraction in the sciences? We understand racialized extraction to mean the employment of colonial hierarchies of knowledge and practice as scientific frameworks in the service of white supremacy and towards the erasure of Black and Indigenous epistemologies and modes of practice. With the purpose of furthering an anti-racist agenda in STS, this panel further asks: Does the notion of ‘race as a technology of extraction’ help tease out the imbrications between race and science? What strategies and analytical modes would enable STS scholars to counter racialized extraction in the sciences? We identify four interlocking layers of racialized extraction as a departure point for conversation: scientific racism, wherein scientific evidence seeks to justify racial differences (Saini 2020; Curran 2013); material and epistemic theft, wherein Indigenous and Black knowledge and practice are appropriated under the spectrum of science (Schiebinger 2004; Prescod-Weinstein 2021); (mis)representation, wherein racialized representations of matter in science perpetuate the erasure and extraction of Black and Indigenous communities (TallBear 2013; Visperas 2022; Yusoff 2018); and data (mis)management, wherein technologies such as AI are purposely designed in the service of white supremacy (Noble 2018). We invite scholars to critically discuss the utility of racialized extraction, either in relation to the four layers mentioned above or more generally as an analytical nexus for highlighting the (un-)making of the interdependence between race and science.

Accepted papers:

Session 1 Tuesday 16 July, 2024, -