About this document
Data Science and Intersectional Feminism by Giulia Albini is a document available to read on EtoBox.
The document discusses the need for intersectional feminism in data science, highlighting the experiences of women, particularly in male-dominated fields, and the systemic inequalities they face. It introduces the concept of data feminism, which aims to use data to challenge and change existing power dynamics and promote social justice. The authors, both data scientists, emphasize the importance of acknowledging privilege and oppression in order to create a more equitable future through data practices.
- Author
- Giulia Albini
- Language
- EN