Inclusion Matters in the Data Revolution



Data literacy and access to data are invaluable for all in today’s society. However, startling gaps in access and educational opportunities persist for members of minority populations, leading to serious societal consequences. For example, the U-LINK ‘Inclusion Matters’ team writes, “[working with data] is not free of subjective judgments that are influenced by the data professional’s background, including race, socioeconomic status, ethnicity, language, gender, and disability status.” Because data professionals are disproportionately white males and those with privilege, privilege is often embedded in the data itself. Indeed, according to the team, “inequitable distribution of power in each phase of the data lifecycle has serious social, cultural, economic, and structural consequences.” With researchers from the Center for Computational Science, Biology, Teaching and Learning, Law, and Educational and Psychological Studies, this team will tackle the inequities in data access and use by determining the effects of social equality and diversity on (a) data production and collection, (b) data manipulation, and (c) analysis and data usage in decision-making.


Athina Hadjixenofontos, Center for Computational Science; Jennifer Kahn, Teaching and Learning; Zanita Fenton, Law; Soyeon Ahn, Educational and Psychological Studies; Debbiesiu Lee, Educational and Psychology Studies; Lauren Fralinger, learning and research services librarian