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Explore how reflexivity serves as a critical tool in data activism through this 17-minute conference presentation that examines the intersection of personal introspection and systemic justice work. Learn about the concept of "archaeology of self" as a framework for understanding how data activists can engage in deep self-reflection to better address systemic injustices in their work. Discover methodologies for incorporating reflexive practices into data activism initiatives, examining how personal biases, experiences, and positionality influence approaches to social justice through data science. Understand the relationship between empathy, reflexivity, and inclusive AI development, with insights from researchers who demonstrate how introspective practices can enhance the effectiveness of data-driven advocacy efforts. Gain practical knowledge about implementing reflexive frameworks in technology and data science projects aimed at addressing inequality and promoting social change.
