Data Feminism

"Data Feminism" by Catherine D'Ignazio and Lauren Klein explores the intersections of data science, ethics, and feminism, highlighting the importance of diverse perspectives in shaping how data is used and understood. The book illustrates how challenging traditional classification systems and acknowledging invisible labor can promote justice and fairness in data practices. It provides strategies for data scientists and feminists alike to work toward more equitable and ethical outcomes in the field of data science.