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Wednesday, July 27 • 11:40am - 12:00pm
Designing a Socially-Critical Data Science Course

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I'll discuss designing a socially-conscious and socially-critical data science course. This talk will be interesting to anyone who designs or delivers educational opportunities for young data scientists. The topic is important because data science is not value neutral. Learners should understand how data and data analyses can encode biases and assumptions. Particularly when we collect data from or about people, we should ask who is privileged or disadvantaged by how we gather and analyze that data? Attendees will learn how I’ve come to design and teach data science courses that emphasize morality and ethics. They’ll also learn how I design for inclusion and work to create reflective learning environments.

avatar for Brian Danielak

Brian Danielak

University of Maryland – College Park
Brian's career has spanned teaching, researching, and being a practicing software engineer. His Ph.D. in Computing Education Research focused on how engineering students learn software design. In subsequent post-doctoral research positions, his work expanded to educational games... Read More →

Wednesday July 27, 2022 11:40am - 12:00pm EDT
4. National Harbor 10+11