Data in the making, political struggle, and epistemic (in)justice: Asian and Asian Americans as early responders to the COVID-19 pandemic in the United States

L. R. Herrenkohl, Jiyoung Lee, Everet Wang, Tammy Tasker, Denise Jones, Paola Nkwuzor, Chris Batalon, Francisco Parra Camacho, Peter Siciliano, Elizabeth A Davis, Angela Calabrese Barton
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Abstract

The COVID-19 pandemic exposed the limits of big data to guide decision-making in times of crisis. As people navigated daily life, they were confronted with the reality that data were often not yet material but rather in-the-making. Drawing upon critical and feminist lenses and participatory methodologies, this study investigates the data stories of nine people of Asian descent living in the United States. Findings illustrate how participants navigated within and across time, space, activity, media, epistemology, race, and politics to produce lively data assemblages. These data stories guided social-distancing and mask-wearing weeks before official US policy even as participants lived in constant fear of dehumanizing racist and xenophobic violence. This study advances theorizing about data practices for human knowing and learning with media, racial and epistemic (in)justice, and community action. It also advances participatory research as a site of epistemic resistance and activism.
制作中的数据、政治斗争和认识论(不)正义:亚裔和亚裔美国人作为美国 COVID-19 大流行的早期响应者
COVID-19 大流行暴露了大数据在危机时刻指导决策的局限性。在日常生活中,人们面临的现实是,数据往往还不是实质性的,而是正在形成中的。本研究利用批判和女权主义视角以及参与式方法,调查了九位生活在美国的亚裔的数据故事。研究结果表明,参与者如何在时间、空间、活动、媒体、认识论、种族和政治的内部和之间游刃有余,从而产生生动的数据组合。这些数据故事在美国官方政策出台前几周指导了社交活动和戴面具活动,即使参与者一直生活在对非人化的种族主义和仇外暴力的恐惧之中。这项研究推进了关于人类认识和学习媒体、种族和认识论(不)正义以及社区行动的数据实践的理论化。它还推动了作为认识论抵抗和行动主义场所的参与式研究。
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