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What isn't counted doesn't count. And mainstream institutions systematically fail to account for feminicide, the gender-related killing of women and girls, including cisgender and transgender women. Against this failure, Counting Feminicide: Data Feminism in Action (MIT Press, 2024) brings to the fore the work of data activists across the Americas who are documenting such murders—and challenging the reigning logic of data science by centering care, memory, and justice in their work.
Drawing on Data Against Feminicide, a large-scale collaborative research project, Catherine D'Ignazio describes the creative, intellectual, and emotional labor of feminicide data activists who are at the forefront of a data ethics that rigorously and consistently takes power and people into account. This book is also a forceful intervention that challenges hegemonic data science by exploring the possibilities and limitations of counting and quantification and drawing lessons for a restorative and transformative data science.
This book is available open access here.
By The MIT Press4.8
2020 ratings
What isn't counted doesn't count. And mainstream institutions systematically fail to account for feminicide, the gender-related killing of women and girls, including cisgender and transgender women. Against this failure, Counting Feminicide: Data Feminism in Action (MIT Press, 2024) brings to the fore the work of data activists across the Americas who are documenting such murders—and challenging the reigning logic of data science by centering care, memory, and justice in their work.
Drawing on Data Against Feminicide, a large-scale collaborative research project, Catherine D'Ignazio describes the creative, intellectual, and emotional labor of feminicide data activists who are at the forefront of a data ethics that rigorously and consistently takes power and people into account. This book is also a forceful intervention that challenges hegemonic data science by exploring the possibilities and limitations of counting and quantification and drawing lessons for a restorative and transformative data science.
This book is available open access here.

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