Note to all attendees: Session leaders will contact you with additional information, including a meeting link, for each individual workshop, event, or demonstration. 

Loading Events
This event has passed.

Whether in the classroom or archive, humanities scholars and students often encounter data methods as means to an end. Processes like data modeling, analysis, and visualization — sometimes represented by particular applications or technologies — populate the proverbial DH toolbox, equipping practitioners to pursue data-driven research and project-based learning curricula. But, while these data-oriented skills and tools frequently facilitate incredible research and classroom practice, they aren’t always accompanied by a robust critical framework that centers historical, ethical, and justice-oriented concerns.

In this workshop, we will approach basic concepts in data (including data taxonomies and applications) from a critical data studies perspective. Rather than taking a tool- or software-oriented approach, we will collaborate on ways to “do” and teach data that are informed by feminist, critical race, and indigenous theories of information. Keeping in mind this year’s theme — “Histories and Representations of Communities Across the Five Boroughs” — we will engage with local archival materials and other humanities content in order to develop data praxes that are situated and self-reflective.

Participants can expect to:

  • become familiar with types of data, including structured and unstructured data
  • think critically about ways to model their research or teaching data
  • begin to explore key theorists and concepts in critical data studies, including data feminism
  • participate in an exercise that enacts critical data pedagogy by bringing humanities methods to data modeling
  • situate their own use of data within historical and epistemological matrices
  • collaborate on a shared document featuring critical data resources

This workshop is designed for humanities scholars and students who are interested in pursuing data-driven work and who want to develop critical — rather than purely instrumental — data practices. Instructors and researchers who already work extensively with data are also welcome, regardless of discipline!

Equipment Requirements: Laptop recommended (Chromebooks OK)


Share This Story, Choose Your Platform!

Go to Top