Exploring Approaches to Data Literacy Through a Critical Race Theory Perspective

要旨

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.

受賞
Honorable Mention
著者
Britney Johnson
Georgia Institute of Technology, Atlanta, Georgia, United States
Ben Rydal. Shapiro
Georgia State University, Atlanta, Georgia, United States
Betsy DiSalvo
Georgia Institute of Technology, Atlanta, Georgia, United States
Annabel Rothschild
Georgia Institute of Technology, Atlanta, Georgia, United States
Carl DiSalvo
Georgia Institute of Technology, Atlanta, Georgia, United States
DOI

10.1145/3411764.3445141

論文URL

https://doi.org/10.1145/3411764.3445141

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: Justice, Wellbeing, and Health

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