-
I am very excited about this book. I bought myself a copy mitpress bookshop last weekend and I can’t wait to read it 🙌 laurenfklein/1237394021766459393
-
Women can have pockets on their jeans, as a treat. I haven’t had a chance to start Data Feminism properly, but flicking through it has been great so far. The visualisation is originally from here: pudding.cool/2018/08/pockets/
-
Still slowly reading... and really enjoying the introduction; it sets things out so clearly. data-feminism.mitpress.mit.edu/pub/frfa9szd/branch/1?from=34793&to=35971 "data feminism is about power—about who has it and who doesn’t. Intersectional feminism examines unequal power" stemminist, this should be a future book choice!
-
Chapter 2 is great. I liked this paragraph... I'm taking helsinkiunipeda's UP2.1 course (Constructive alignment in course design) now... I'm now wondering whether courses in the physical sciences should employ constructive alignment also to address injustices in STEM teaching.
-
This goes far beyond data science, because injustices in other areas of STEM teaching and research are deeply ingrained. I would be interested in knowing if there exist intersectional feminist critiques of different course design approaches.
-
I've now finished Data Feminism, and had actually prepared a tweet about the #ManFactory paragraph on p. 66 (contrasting the work of Gwendolyn Warren with Horace Mann), only to realise I'd already done so. It's an important book. Please, please read it. davidjamesweir/1246419672037232640?s=20
-
And us theoreticians (myself included) who write sloppy Data Management Plans? I believe that's a form of gatekeeping. Our source code, worksheets, simulations should be open, reproducible and reusable, just like those of people working with real-world data.
-
We should document, acknowledge and explain the contributions of everyone who has worked with us, research assistants and students included. It gives them achievements to point to in their future careers.