Toward Equitable Participatory Design: Data Feminism for CSCW amidst Multiple Pandemics
Name
3406865.3418588.pdf
Description
Published version
Size
753.63 KB
Format
Unknown
Checksum (MD5)
d920465d665c29db6efda7377f1e0fd1
Author(s)
D'Ignazio, Catherine
Graeff, Erhardt
Harrington, Christina N
Rosner, Daniela K
Date Issued
October 2020
Journal
Conference Companion Publication of the 2020 on Computer Supported Cooperative Work and Social Computing
Publisher
Association for Computing Machinery (ACM)
Citation
D'Ignazio, Catherine, Graeff, Erhardt, Harrington, Christina N and Rosner, Daniela K. 2020. "Toward Equitable Participatory Design: Data Feminism for CSCW amidst Multiple Pandemics." Conference Companion Publication of the 2020 on Computer Supported Cooperative Work and Social Computing.
Version
Final published version
Abstract
CSCW, like many other academic communities, is reckoning with its roles, responsibilities, and practices amidst 2020's multiple pandemics of COVID-19, anti-Black racism, and a global economic crisis. Reviewing our work with data and communities demands we address harms from overexposure caused by surveillance or algorithmic bias and from underexposure caused by design that is insufficiently participatory and equitable. This workshop will elicit narratives of good and bad design and data work with communities, apply the lenses of equitable participatory design and data feminism to current CSCW projects and our global context, and develop practical outputs for supporting academics and practitioners in pursuit of democratic and just partnerships.
MIT Department
Massachusetts Institute of Technology. Department of Urban Studies and Planning
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3406865.3418588
