Getting Ourselves Together: Data-centered participatory design research & epistemic burden

Getting Ourselves Together: Data-centered participatory design research & epistemic burden
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让我们团结起来:以数据为中心的参与式设计研究

DOI:
10.1145/3411764.3445103
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发表时间:
2021
期刊:
CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
影响因子:
--
通讯作者:
Pasquetto, Irene
Pasquetto, Irene
中科院分区:
--
文献类型:
--
作者:
Pierre, Jennifer;Crooks, Roderic;Currie, Morgan;Paris, Britt;Pasquetto, Irene

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以数据为中心的参与式设计研究项目(其中研究人员与社区成员合作,以收集、生成或交流有关社区或其原因的数据)可能会给少数群体或种族群体带来认知负担,即使在专注于社会正义结果的项目中也是如此。对认知负担的分析鼓励研究人员重新思考数据在社区组织和行动中的目的和价值。本文描述了根据作者之前与反警察暴行社区组织合作的两个案例研究得出的三种认知负担。作者最后讨论了通过一系列有关参与性研究设计的问题来缓解和避免这些问题的方法。最终,我们呼吁重新定位知识生产,从针对社区问题的假定设计解决方案转向对研究本身的权力动态进行更强有力的质疑。
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.
DOI: 10.1080/01972243.2021.1920081
发表时间: 2021-04-21
影响因子: 3.5
作者:
Crooks, Roderic;Currie, Morgan
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发表时间: 2018
期刊: The AI Delusion
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影响因子: --
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DOI: --
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