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medical bias

Racism, Algorithms, and Blackness in Medicine: A Reading List for Black History Month During a Pandemic

2021-02-17
By: Jane Rohrer
On: February 17, 2021
In: Uncategorized
Tagged: Algorithms, Big Data, black history month, diversity, medical bias, medicine, racism

Happy Black History Month! The Seminar does not have any scheduled guests or podcasts so far this month, and so an opportunity arises to highlight voices & publications beyond our venerable (& growing!) list of participants. During this strange & stressful February, I wanted to make space, as SE (Shack) Hackney did last year, within Information Ecosystems to highlight some incredible and essential work by and about Black voices, and—amid a global pandemic—how race overlaps with medicine, data, and concepts of cure. What follows is an absolutely non-exhaustive reading list on topics of Blackness, medicine, data, and technology. I offer these pieces & voices as profoundly important to how we should be thinking about medicine and technology within our current moment; it is difficult to understate the debt we all owe to Black scholars, activists, scientists, doctors, and organizers, particularly in digitally-oriented spaces—but lending an eye or ear to their essential contributions is a start. And indeed, as the long shadow of COVID-19 extends toward its year-long mark, we must take seriously the disproportionally devastating impact the pandemic has had on our nation’s Black communities. Today, while the rate of hospitalization and death per 10,000 sits at 7.4 and 2.3 for white patients, it is a staggering 24.6 and 5.6 for Black patients (source). Scholars from a wide array of disciplines have over and over confirmed that the U.S. has a long and difficult history of racism in medicine. And, as our own Seminar guests—such as Dr. Safiya Noble and Dr. Sandra González-Bailón—have also confirmed, the Read More

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