The Racial Economy Of Science Toward A Democratic Future Race Gender And Science -

To fully grasp the "Racial Economy of Science," one must apply an intersectional lens, recognizing that race and gender cannot be disentangled. The exclusion of women, particularly women of color, from scientific institutions was not merely a matter of social etiquette; it was a mechanism of gatekeeping that preserved the "purity" of the scientific elite.

This article draws on the work of scholars including Ruha Benjamin ( Race After Technology ), Evelynn Hammonds ( The Racial Economy of Science ), Linda Tuhiwai Smith ( Decolonizing Methodologies ), and Dorothy Roberts ( Fatal Invention ). It is written in solidarity with movements for science democracy, from the Toronto Science for People collective to the Black in AI network to the Indigenous Data Sovereignty Network. The future is not yet written, but it is being researched. Let us be rigorous, and let us be just. To fully grasp the "Racial Economy of Science,"

Even when women managed to enter the scientific workforce, they faced a "double bind." Women of color like Roger Arliner Young, the first African American woman to receive a doctorate in zoology, faced systemic barriers and isolation that white men and white women did not. The economy of science demanded their intellectual labor but refused to grant them the capital—social, economic, or academic—to thrive. It is written in solidarity with movements for

Rather than extracting data, scientists should build governance structures where communities retain ownership of their biological and social data. Blockchain-based consent, dynamic consent models (where participants can change their mind), and data trusts are emerging tools. In New Zealand, the Maori data sovereignty movement has developed the concept of taonga (treasured possessions) to frame genetic and environmental data as collective property, not individual property. Even when women managed to enter the scientific