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Inclusive Teaching in STEM: On Computer Science

Weaving Awareness of Race and Power into STEM Courses

Computer Science

Ruha Benjamin, Race after Technology: Abolitionist Tools for the New Jim Code (Cambridge: Polity, 2019) [Bowdoin Main Library HN90.I56 B46 2019]

Audrey G. Bennett, “Ethnocomputational Creativity in STEAM Education: A Cultural Framework for Generative Justice,” Teknokultura 13:2 (2016): 587–612

Aaron M. Bornstein, “Are Algorithms Building the New Infrastructure of Racism?” Nautilus (December 21, 2017)

Emily Hadley, “5 Steps to Take as an Antiracist Data Scientist,” Towards Data Science (June 8, 2020)

Shalini Kantayya. "Coded Bias" (7th Empire Media:2020) [Media Commons DVD TA1653 .C63 2020]

Robinson Meyer and Alexis C. Madigral, “Why the Pandemic Experts Failed: We’re Still Thinking About Pandemic Data in the Wrong Ways,” The Atlantic (2021): 103-121

Safiya Umoja Noble, Algorithms of Oppression: How Search Engines Reinforce Racism (New York: New York University Press, 2018) [Bowdoin Main Library ZA4230. N63 OR ebook]

Betsy Anne Williams, et al, “How Algorithms Discriminate Based on Data They Lack: Challenges, Solutions, and Policy Implications,” Journal of Information Policy 8 (2018): 78-115