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, make ...more
I take this book literally. I fully agree that we need to look at what biases lay behind the hypotheses and interpre ...more
It was a pleasurable read. I learnt a lot along the way. And having synchronised the reading with the weekly video seminars with the authors made it a much pleasant experience than I had before with a more "academic" book.
Having experienced data science from my studies and as a job, I could relate myself a lot in this book. I learnt what is really behind data cleaning, why more women are hired as a data analyst (like myself ...more
My main question mark about it is that I'm not entirely sure who the audience is. If it's people with a background in feminist/intersectionality theory, it's fundamentally pretty basic info (although the examples used to illustrate them are ...more
Also, you can find a much shorter version here. Just expect some spoilers (if you can spoil non-fiction) :)
First of all - a very VERY good book. I've never really thought about data science through the (intersectional) feminist lens. Not that I know much of data science but willing to change it :)
'a central aim of this book is to describe a form of intersectional feminism that takes the inequiti...more
Super interesting book! Focuses on really important issues in data science (as well as important issues overall) today and changed my way of thinking about data.
Highly recommend! (and it is even freely available online!) (: ...more
Therefore only 4 stars. Still, I can't recomment this enough. ...more
'data feminism' is an important book that has the potential to open many eyes to harms that can be perpetuated by data work. it opens with a clear and concise introduction to intersectional feminism, using numerous concrete examples that data scientists will easily grasp. the writing is fairly dense, but it is engaging, and i learned a lot.
in my mind there are two issues that keep the treatment in 'data feminism' from being definitive. the first has to do with the larg ...more
I really like how the authors how the book practice what they preach and the documente ...more
The ideas they raise should be considered by data designers. They are interesting and important. However, lenses can both clarify and obscure. T ...more
As “data analysts” (low-status number crunchers) have become rebranded as “data scientists” (high status researchers), women are being pushed out in order to make room for more highly valued and more highly compensated men.
When data teams are primarily composed of people from dominant groups, those perspectives come to exert o ...more
This book repeatedly gets lots of things right, in terms of describing the problems that we see: the biases associated to data collection, the biases inherent in having machine learning systems developed by unrepresentative groups, the ways in which systems and data collection can reinforce existing (malicious) power str ...more
So to state my position: I'm a programmer with no training in data science who sometimes deals with large and varied data sets. I live in the UK. I'm middle aged and middle income. I'm non-white and non-conforming in terms of gender expression and sexuality.
I found the book to be interesting and informative. Many of the examples g ...more
A central question to this book that the authors ask is, “How can we use data to remake the world?” The authors set out to answer this question by asking more questions (as researchers tend to do) about the way in which we deal with collecting, analyzing and interpreting data and how these actions are influenced by power structures, privilege hazard, data ethics and data justice. The book also centers the concept of intersectionality (which is w ...more
My main question mark about it is that I'm not entirely sure who the audience is. If it's people with a background in feminist/intersectionality theory, it's fundamentally pretty basic info (although the examples used to illustrate them are cer ...more
As said in the book in the context of 'data for good' initiatives, "Doing good with data requires being deeply attuned to the things that fall outside the dataset and i ...more
Other tech + society books and articles I read focus a lot on the problems— gender data gaps or failure cases of automated systems but I liked that this group provided initial steps that we can tak ...more
Lastly, the end of the book includes a refreshing audit of the project: Th ...more
My only criticism is the lack of projects from beyond the US. There are a few in the book, as I reca ...more