ORCID
Srividya Ramasubramanian: 0000-0003-2140-8008
Document Type
Article
Date
Spring 4-4-2025
Keywords
Community, Media Literacy, DEIA, Participatory Action Research, Intervention Research
Language
Eng
Disciplines
Other Film and Media Studies
Description/Abstract
CODE^SHIFT is a multidisciplinary “collaboratory” research space that focuses on data justice by humanizing data for storytelling, community impact, and social healing. Its goal is to address social inequalities (especially relating to race, gender, ethnicity, and indigeneity) using data, media, technology, art, and storytelling. Our activities include community-building, curriculum development, and collaborative research projects, especially focused on critical media literacies, arts-based interventions, and digital storytelling. The four main principles that guide our practice and theorizing are: collaboration, purposiveness or intentionality, actionorientation, and equity-mindedness. We see data justice as crucial to every stage: from identifying pressing social needs, to forming partnership and coalition-building, co-designing collective impact interventions, and building capacity for sustainable change. We apply a Trauma-informed, Equity-minded, Asset-based Model (TEAM) that recognizes the transformative power of data and stories for collective healing from intergenerational cultural systemic traumas, including erasures. This model emphasizes trust and transparency, asset-based framing, nonjudgmental listening, agency and voice, and shared decision-making.
ISSN
1479-5752
Recommended Citation
Ramasubramanian, S. (2025). CODE^SHIFT: A collaboratory for data equity, community impact, and social healing. Journal of Applied Communication Research, 53(1), 50–53. https://doi.org/10.1080/00909882.2025.2464855
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Rights
© 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
