Getting Ourselves Together: Epistemic Burden and Data-centered Participatory Design Research

要旨

Data-centered participatory design research projects—wherein researchers collaborate with community members for the purpose of gathering, generating, or communicating data about the community or their causes—can place epistemic burdens on minoritized or racialized groups, even in projects focused on social justice outcomes. Analysis of epistemic burden encourages researchers to rethink the purpose and value of data in community organizing and activism more generally. This paper describes three varieties of epistemic burden drawn from two case studies based on the authors’ previous work with anti-police brutality community organizations. The authors conclude with a discussion of ways to alleviate and avoid these issues through a series of questions about participatory research design. Ultimately, we call for a reorientation of knowledge production away from putative design solutions to community problems and toward a more robust interrogation of the power dynamics of research itself.

受賞
Best Paper
著者
Jennifer Pierre
University of California, Los Angeles, Los Angeles, California, United States
Roderic Crooks
University of California, Irvine, Irvine, California, United States
Morgan Currie
University of Edinburgh, Edinburgh, United Kingdom
Britt Paris
Rutgers University, New Brunswick, New York, United States
Irene Pasquetto
University of Michigan, Ann Arbor, Michigan, United States
DOI

10.1145/3411764.3445103

論文URL

https://doi.org/10.1145/3411764.3445103

動画

会議: CHI 2021

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)

セッション: HCI Confronting Issues of Race, Genders, Feminisms, Reproductive Health

[A] Paper Room 03, 2021-05-11 17:00:00~2021-05-11 19:00:00 / [B] Paper Room 03, 2021-05-12 01:00:00~2021-05-12 03:00:00 / [C] Paper Room 03, 2021-05-12 09:00:00~2021-05-12 11:00:00
Paper Room 03
13 件の発表
2021-05-11 17:00:00
2021-05-11 19:00:00
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