Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments.
But it has also been used to discriminate, police and surveil.
This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind?
The narratives around big data and data science are overwhelmingly white, male and techno-heroic.
In our new book, Data Feminism, we present a new way of thinking about data science and data ethics—one informed by intersectional feminist thought.
Illustrating data feminism in action, we show how challenges to the male/female binary can help challenge other hierarchical—and empirically wrong—classification systems.
For example, we explain how an understanding of emotion can expand our…