Data Feminism

D'Ignazio and Klein synthesize a wide variety of work in computer science, ethics, philosophy, and sociology to build a compelling case for the inherent political nature of data, the myth of objectivity and neutrality, and the need to intentionally build and design just analyses and systems. They cover a number of now classic studies in this space, so those familiar with them already can probably speed through those sections. Overall, this is an essential book for anyone dealing directly or indirectly with data, algorithms, or formal processes in general. Highly recommend.

This book was very interesting. The authors formulate seven principles for how to do data science without perpetuating or intensifying oppression. It is full of positive examples and stories. It is fun to read, although the format was not very comfortable; it's very large... But I guess it has to be, because it is filled with so much interesting stuff. A very interesting aspect: The authors are really living what they preach: In the end of the book, there is a chapter about their standards and their aspirations for the book; they even included a table about which -isms they wanted to address and how well they managed.

I would recommend it to everyone interested in data science and its public impact.

i'm not gonna lie - this is preaching to the choir to the point of it being sorta dull to read, but it is excellent! sorry if that sounds like faint praise. i am excited to use it for instruction

interesting as a literature review and asks some productive questions