Whether you're an expert or completely new to the realm of data feminism, the DFN book club is a great place to deepen your knowledge and learn from our diverse community.
FREE Study Guides: Data Feminism & Invisible Women
Eager to read Data Feminism, by Catherine D'Ignazio and Lauren F. Klein, or Invisible Women by Caroline Criado-Perez? Our FREE study guides can serve as a supporting resource to help you absorb key themes and definitions.
"I'm so grateful to get to hear different insights and perspectives from around the globe. Thank you all for sharing your time and thoughts! It is so encouraging to know others are also interested in engaging with these concepts."
- Book Club Attendee
Past Book Club Picks
by Caroline Criado Perez (Book)
February - March 2022
Imagine a world where your phone is too big for your hand, where your doctor prescribes a drug that is wrong for your body, where in a car accident you are 47% more likely to be seriously injured, where every week the countless hours of work you do are not recognised or valued.
The Costs of Connection
by Nick Couldry & Ulises A. Mejias
Just about any social need is now met with an opportunity to "connect" through digital means. But this convenience is not free—it is purchased with vast amounts of personal data transferred through shadowy backchannels to corporations using it to generate profit. The Costs of Connection uncovers this process, this "data colonialism," and its designs for controlling our lives—our ways of knowing; our means of production; our political participation.
Today, automated systems—rather than humans—control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data, the most invasive and punitive systems are aimed at the poor. Automating Inequality systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America.
July - September 2021 (3 Part Series)
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, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought.
The Three Mothers
by Anna Malaika Tubbs (Book)
A book that celebrates Black motherhood by telling the story of the three women who raised and shaped some of America's most pivotal heroes: Martin Luther King, Jr., Malcolm X, and James Baldwin.
Fatphobia and Diet Culture with Virgie Tovar
The Lavern Cox Show (Podcast)
Writer, fat activist and podcast host Virgie Tovar teaches us about the roots of fatphobia and the many pitfalls of diet culture. She and Laverne cover everything from discrimination to health care, white supremacy and social policing.
Weapons of Math Destruction
by Cathy O’Neil (Book)
A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life — and threaten to rip apart our social fabric.