Challenging Power in Data Science
Explore the intersection of data science and intersectional feminist thought in this thought-provoking talk. Examine how data are increasingly utilized by governments and corporations, and the resulting unequal conditions of production, asymmetrical methods of application, and disparate effects on individuals and groups. Delve into the concept of "data feminism" as presented by D'Ignazio and Klein, which challenges traditional hierarchical classification systems and expands ideas about effective data visualization. Investigate how understanding emotion and recognizing invisible labor can lead to more ethical and equitable data practices. Consider critical questions about the purpose and beneficiaries of data science while learning how to operationalize feminist thinking in data-driven work.