dlab-berkeley/Data-Science-Social-Justice-2022

Materials for D-Lab / UC Berkeley Graduate Division's Data Science + Social Justice summer workshop. These materials provide an introduction to Python, natural language processing, text analysis, word embeddings, and network analysis. They also include discussions on critical approaches to data science to promote social justice.

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These materials teach you how to analyze language datasets using computational tools to uncover and address inherent biases, ultimately creating projects that promote social impact. You'll learn to process text and apply data science methods, transforming raw language data into insights that challenge conventional narratives. This is for researchers, activists, and anyone in social sciences or humanities who wants to use data science to advocate for social justice, even with no prior programming experience.

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Use this if you want to learn how to critically apply data science methods, especially text analysis, to social justice issues and develop projects that counter biases in data.

Not ideal if you are looking for a purely technical data science course without a strong emphasis on ethics, social impact, and critical data frameworks.

social-justice text-analysis critical-data-studies qualitative-research data-activism
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Jul 01, 2022

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