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.