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“In designing Data Science curriculum, we should have a participatory design approach with individuals from several different communities that have been marginalized or disenfranchised by Data Science or AI techniques.”

In this episode, Gloria Washington, an assistant professor at Howard University, shares her experiences structuring her Data Science-driven course to accommodate students who may be hesitant to join the field; through this discussion, she also urges institutions to construct their Data Science curriculum with marginalized communities in mind. Later in the conversation, Gloria speaks on her research that utilizes human-centered data.

“I truly believe that there should be Data Science courses where faculty swap in and out. An applied statistic person can teach the first half of the class, a Data Scientist can teach the middle part, and a Data Ethics person can pop in-and-out at every single topic to describe how the techniques could be used against different populations/communities.”

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