Arts (Feb 2024)

Viewpoints/Points of View: Building a Transdisciplinary Data Theatre Collaboration in Six Scenes

  • Dani Snyder-Young,
  • Michael Arnold Mages,
  • Rahul Bhargava,
  • Jonathan Carr,
  • Laura Perovich,
  • Victor Talmadge,
  • Oliver Wason,
  • Moira Zellner,
  • Angelique C-Dina,
  • Ren Birnholz,
  • Halle Brockett,
  • Ezekiel D’Ascoli,
  • Donovan Holt,
  • Sydney Love,
  • George Belliveau

DOI
https://doi.org/10.3390/arts13010037
Journal volume & issue
Vol. 13, no. 1
p. 37

Abstract

Read online

Data now plays a central role in civic life and community practices. This has created a pressing need for new forms of translation and sense-making that can engage diverse publics. Research-based Theatre (RbT) has proven to be an effective approach to delivering qualitative data to community stakeholders. We extend this tradition by proposing “community-engaged data theatre”. This approach translates quantitative data into theatrical language to engage communities in deliberative conversations on relevant issues. Community-engaged data theatre requires bridging multiple disciplines and involves creating new definitions and shared vocabularies in discourses that formerly have had little overlap in meaning. In this article, we share key insights from our initial experiments in which we adapted quantitative and qualitative data to devise a pilot piece in collaboration with a local community partner. In this essay, we communicate our collaborative process in polyvocal, artistic form. We edit and adapt materials from our conversations and creative practices into scenes illustrating how we taught and learned from each other about data science, participatory modeling, material deliberation and Composition to pilot our lab’s first community-engaged data theatre prototype.

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