Strong Ideas / Data Feminism

Catherine D'Ignazio is Assistant Professor of Urban Science and Planning in the Department of Urban Studies and Planning at MIT.

Lauren F. Klein is Associate Professor of English and Quantitative Theory and Methods at Emory University.

Without ever finger-wagging, Data Feminism reveals inequities and offers a way out of a broken system in which the numbers are allowed to lie.
WIRED

"Anyone who works with data and all scientists do, of course will benefit from reading this book. But the readers who may gain the most from it are those who are trying to use data in the public interest. Data Feminism does such a good job of integrating theories and projects across several fields that it will likely become a touchstone for teaching data science that goes beyond data ethics."
American Scientist

...the authors' demystification of data science and advocacy for data feminism are extremely timely. The book also serves as an important introduction to intersectional feminist practice by providing inspiring examples of marginalized women and communities taking power back by collecting and wielding counter-data to challenge the status quo.
Times Higher Education

"This call to action is especially important as issues of power and privilege continue to re-create inequalities in contemporary society."
CHOICE

Data Feminism is a powerful call to action for everyone who cares about how technology reflects and reproduces social hierarchies and injustices. Brilliantly argued, engagingly written, and collaboratively crafted, this groundbreaking work enacts a feminist politics of knowledge production that will serve as a guide for generations to come.
Ruha Benjamin, Princeton University; author of Race after Technology

Data Feminism is an exceptional and entertaining primer for data scientists to understand essential ethical concepts like power, inequality, gender, and race.
DJ Patil, Head of Technology at Devoted Health, Inc., Former U.S. Chief Data Scientist
 
If you want to build a foundation in data ethics and data justice, Data Feminism is a must-read. D'Ignazio and Klein have written a remarkable book that defines the