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In this episode, we chat to Catherine D’Ignazio, Assistant Professor of Urban Science and Planning in the Department of Urban Studies and Planning at MIT and Director of the Data + Feminism Lab, about data feminism, what that means and why feminism matters in data science. We talk applying programming skills to social justice work, the tension between corporate and social good, and how technology can be oriented towards the feminist project of shifting power. D’Ignazio explains what would be needed to reshape the model of accountability in AI and why ‘better’ technology might not be less harmful. She argues that data work can be most effective at producing better outcomes when grounded in feminist scholarship and practice. We hope you enjoy the show.
Content Warning: This episode contains a brief discussion of femicide.
By Dr Kerry McInerney and Dr Eleanor Drage4.6
1212 ratings
In this episode, we chat to Catherine D’Ignazio, Assistant Professor of Urban Science and Planning in the Department of Urban Studies and Planning at MIT and Director of the Data + Feminism Lab, about data feminism, what that means and why feminism matters in data science. We talk applying programming skills to social justice work, the tension between corporate and social good, and how technology can be oriented towards the feminist project of shifting power. D’Ignazio explains what would be needed to reshape the model of accountability in AI and why ‘better’ technology might not be less harmful. She argues that data work can be most effective at producing better outcomes when grounded in feminist scholarship and practice. We hope you enjoy the show.
Content Warning: This episode contains a brief discussion of femicide.

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