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Data Feminism Book Club Meetup

Data Feminism Book Club Meetup

About the Book Club

This interactive, dialogue-driven meetup co-hosted by UC Davis 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

Register at https://registration.genomecenter.ucdavis.edu/events/BookClubMeetupDataFeminism/register/

Read chapter 6 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.

Conveners

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.

Related LibGuide: Reproducible Data Management by Ariel Deardorff

Date:
Wednesday, Feb 16 2022
Time:
3:00pm - 4:30pm
Time Zone:
Pacific Time - US & Canada (change)
Location:
Virtual
Categories:
  Data Science Initiative  

Event Organizer

Profile photo of Ariel Deardorff
Ariel Deardorff

Data Services Librarian

ariel.deardorff@ucsf.edu