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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. 

We investigate the process of “enlivening” data and what it entails for youth vis-à-vis its relations, mechanisms, and purposes. Using vignettes, we explore enlivening data and datafication as nested concepts. While enlivening data gives learners agency to take action, datafication affords new ways to collect, analyze and present data about oneself. Educators must be attuned to the socio-political historical aspects of learners’ experiences and as informed, be willing to make changes to their shared environments. 

We investigate the process of “enlivening” data and what it entails for youth vis-à-vis its relations, mechanisms, and purposes. Using vignettes, we explore enlivening data and datafication as nested concepts. While enlivening data gives learners agency to take action, datafication affords new ways to collect, analyze and present data about oneself. Educators must be attuned to the socio-political historical aspects of learners’ experiences and as informed, be willing to make changes to their shared environments.