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What Does Feminist Data Science Look Like?

Institute for Pure & Applied Mathematics (IPAM) via YouTube

Overview

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Explore the concept of feminist data science in this thought-provoking 20-minute conference talk presented by Catherine D'ignazio from the Massachusetts Institute of Technology. Recorded on July 18, 2022, at the Institute for Pure & Applied Mathematics (IPAM) workshop titled "Who Counts? Sex and Gender Bias in Data," this presentation delves into the intersection of feminism and data science. Gain insights into how feminist principles can be applied to data analysis and interpretation, challenging traditional approaches and addressing biases in data collection and representation. Discover new perspectives on inclusivity, equity, and ethical considerations in the field of data science.

Syllabus

Catherine D'ignazio - What Does Feminist Data Science Look Like? - IPAM at UCLA

Taught by

Institute for Pure & Applied Mathematics (IPAM)

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