Feminist Data Practices: Conversations with Catherine D'Ignazio, Lauren Klein, and Maya Livio
Diseña, 2021•horizonteenfermeria.uc.cl
Many of the papers and more-than-textual proposals submitted for this special issue
included machine vision technologies and other data-and AI-mediated practices. To provide
a critical perspective on data-driven (design) research, we decided to explore the emerging
field of data feminism through online interviews with three scholars and practitioners who
apply intersectional feminist theory and practice to the realm of data-driven work: Catherine
D'Ignazio, Lauren Klein, and Maya Livio.
included machine vision technologies and other data-and AI-mediated practices. To provide
a critical perspective on data-driven (design) research, we decided to explore the emerging
field of data feminism through online interviews with three scholars and practitioners who
apply intersectional feminist theory and practice to the realm of data-driven work: Catherine
D'Ignazio, Lauren Klein, and Maya Livio.
Abstract
Many of the papers and more-than-textual proposals submitted for this special issue included machine vision technologies and other data-and AI-mediated practices. To provide a critical perspective on data-driven (design) research, we decided to explore the emerging field of data feminism through online interviews with three scholars and practitioners who apply intersectional feminist theory and practice to the realm of data-driven work: Catherine D’Ignazio, Lauren Klein, and Maya Livio.
horizonteenfermeria.uc.cl
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