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Conference Proceeding

Publication Date



In this paper, we describe and analyze a workshop developed for a work training program called DataWorks. In this
workshop, data workers chose a topic of their interest, sourced and processed data on that topic, and used that data to create
presentations. Drawing from discourses of data literacy; epistemic agency and lived experience; and critical race theory, we analyze the workshops’ activities and outcomes. Through this analysis, three themes emerge: the tensions between epistemic agency and the context of work, encountering the ordinariness of racism through data work, and understanding the personal as communal and intersectional. Finally, critical race theory also prompts us to consider the very notions of data literacy that undergird our workshop activities. From this analysis, we offer a series of suggestions for approaching designing data literacy activities, taking into account critical race theory.


Previously published in:

Britney Johnson, Ben Rydal Shapiro, Betsy DiSalvo, Annabel Rothschild, and Carl DiSalvo. 2021. Exploring Approaches to Data Literacy Through a Critical Race Theory Perspective. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI '21). Association for Computing Machinery, New York, NY, USA, Article 706, 1–15.