Data Feminism: Surfacing Invisible Labor in Quantitative Literary Studies - Part 1

Explore the intersection of data science and feminist theory in this thought-provoking podcast episode featuring Lauren Klein, co-author of "Data Feminism." Delve into how quantitative literary studies are transforming our understanding of historical dynamics and uncovering hidden influences in history. Learn about the concept of data feminism and its role in bridging the gap between sciences and humanities. Discover how new computational tools are revealing the unsung cultural significance of marginalized voices and reshaping our perception of power structures in institutions. Gain insights into the importance of incorporating human perspectives in data analysis and the potential for interdisciplinary approaches to yield novel insights across domains. Engage with complex ideas about the reconciliation of different academic disciplines and the evolution of textual studies in the digital age.

Lauren Klein on Data Feminism (Part 1): Surfacing Invisible Labor