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Click on the link above to explore when health disparities research is weaponized by white nationalists to reproduce and distribute harmful mis/disinformation and uphold white supremacy in the health and medicine fields.
In this section, we delve into the concept of Critical Data Praxis, an approach that focuses on the critical examination of how data about race and ethnicity are collected, interpreted, and applied in health research. Understanding Critical Data Praxis is crucial in dismantling racial biases in health data and creating fairer, more accurate health interventions. As we unpack this concept, we'll be guided by the insights offered in "Fatal Invention," providing us with a deeper understanding of how racial bias operates within scientific research.
From NLM: This talk focuses on the history of a particular collection of data, extracted and digitized from patient records made in the course of a longitudinal epidemiological study involving Indigenous members of the Gila River Indian Community Reservation in the American Southwest. The creation, circulation, and eventual restriction of the Pima Indian Diabetes Dataset (PIDD) demonstrates the value of medical and Indigenous histories to the study of Big Data. The history of the PIDD reveals how data becomes alienated from persons even as it reproduces complex social realities of the circumstances of its origin. (NLM, 2023)
David et. al explore the promise and peril of utilizing AI systems in biomedical research, health care delivery systems, vaccine discovery and more. However, the scientific community would be remiss if the dangers of AI systems were not explored. Click here to explore the entire article.
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Algorithms are everywhere. AI and Medicine are increasingly joined together-- but to what end? The concept of a biocitizen, an overarching theme in Fatal Invention, interrogates the concept of person-hood as it relates to emerging biotechnologies. But, then question remains, to what end do these advancements serve onto to further deepen existing and ever-present inequalities? The article below examines the inherent trouble that comes with race correction in clinical algorithms
Click Ida B. Wells Just Data Lab to explore the important and intersectional work at the Just Data Lab. Image credit: Ida B. Wells Just Data Lab, 2023
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Born from Rua Benjamin's concept of informed refusal, bioethics, and critical data praxis, Manifest-No explores data through an intersectional feminist pedagogy.
