Book Club Meetup (Data Feminism)
February 16 @ 3:00 pm - 4:30 pm
This interactive, dialogue-driven meetup will explore applying feminist theory and critique to how we work with data and perform research. How do structures of power and oppression shape the data we collect, analyses we perform, and research insights we develop? Together we will reflect on selected chapters from the book Data Feminism by Catherine D’Ignazio and Lauren Klein. The book can be freely accessed online here: https://data-feminism.mitpress.mit.edu/. In advance of the meetup participants should read Chapter 6: The Numbers Don’t Speak for Themselves and at least skim the book’s introduction. Come prepared to apply takeaways from the readings to unpacking provided case studies from the health sciences, and your own research processes. Researchers from all domains are welcome to participate. Together we’ll brainstorm how as individuals and a community we can contribute to more equitable data-driven research.
How to Join
Participants should pre-register (https://registration.genomecenter.ucdavis.edu/events/BookClubMeetupDataFeminism/register/) and read a chapter from Data Feminism in advance of the session. It is recommended, but not required, to also watch the Data Feminism Symposium recording by the UC Davis DataLab featuring a talk by the book’s authors.
This meetup is being offered in coordination with UC Love Data Week 2022, and is led by UC Davis DataLab’s Associate Director, Pamela Reynolds, who co-leads the Data Feminism Research and Learning Cluster at DataLab, and Ariel Deardorff, MLIS, Data Services Librarian at the University of California, San Francisco.