[Bigdatasur] An invitation to contribute to the Handbook of Critical Data Studies

[Ulises Mejias]

“Two people dressed in dark colors and wearing masks dart into a busy
street on a hill in San Francisco. One of them hauls a big orange traffic
cone. They sprint toward a driverless car and quickly set the cone on the
hood.”

The above is a description from an NPR article
<https://www.npr.org/2023/08/26/1195695051/driverless-cars-san-francisco-waymo-cruise>
of ‘coning’, the practice of disabling a driverless car as a sign of
protest. In an age when Big Tech oligarchs can single-handedly shape the
direction of wars
<https://www.theguardian.com/technology/2023/sep/07/elon-musk-ordered-starlink-turned-off-ukraine-offensive-biography>,
it is a reminder that we need to document, theorize and celebrate critical
forms of resistance to datafication, whether they are small acts of dissent
or new theoretical frameworks. Now more than ever, we need to examine the
rationales for how we define, create, store, and regulate data and its
associated technologies.

To that end, please consider contributing to our Handbook of Critical Data
Studies, to be published by De Gruyter in 2026. This volume will present a
comprehensive review of the current state of critical data studies, a field
that looks at data as a site of contested meanings and politics. With your
help, we aim to bring together a truly global and interdisciplinary set of
perspectives from fields including sociology, science and technology
studies, information science, human computer interaction, media studies,
postcolonial studies, digital humanities, and beyond. The goal is to center
the perspectives of critical and marginalized voices, ensuring that issues
like race, gender, class and the environment reverberate across the entire
handbook.

We invite you to submit a 500-700 word abstract proposal of your chapter by Dec
31, 2023. Possible topics include:


   -

   Grounding concepts in critical data studies.
   -

   Methodologies: What is ‘critical’ about critical data studies?
   -

   Critical political economy of data: Theories of extraction, production
   and prediction.
   -

   Case studies: looking at specific sectors, locations and examples from
   daily life.
   -

   A critical approach to laws, policies and regulations concerning data.
   -

   How to frame resistance from a critical data studies perspective.


For more details, see https://critical-data-handbook.info/.

To receive updates about this project, please fill out this form.
<https://oswego.az1.qualtrics.com/jfe/form/SV_39H86oYiyrr5IsS>

PLEASE SHARE THIS CALL WITH INDIVIDUALS OR GROUPS YOU THINK MIGHT BE
INTERESTED.

Looking forward to receiving your abstracts.

Sincerely,

Ulises A. Mejias

Jasmine McNealy

Milagros Miceli

Sarah Ozga (editorial assistant)
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