Reading through the data available through Canvas analytics, I’m reminded of Catherine D’Ignazio and Lauren Klein’s argument (in their excellent book “Data Feminism”) that structured, “clean” data is most necessary for “strangers in the dataset.”

The new semester at the University of Kentucky starts on Monday, and I am flailing to try to get my data science course ready to go—including putting together an open, alternative textbook for my students. I’ve been borrowing heavily from Catherine D’Ignazio and Lauren Klein’s Data Feminism for my textbook: It’s a fantastic resource, and I’m hoping my students take a lot from it. Of course, my kid’s semester has already started, and I’ve already blogged a bunch about my frustrations with her new school’s use of ClassDojo this year.