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Diabetes, Art, and Data Resonance

Bibliographic Data

ID21831826
AuthorsSamuel Thulin (0000-0001-9402-8220, Independent Dance, corresponding author)
Year2021
Volume10
Issue2
Pages162-185
Publication date2021-10-08
Open AccessYes
TypeARTICLE
VenueCanadian Journal of Disability Studies (JOURNAL)
Journal identifiersISSN: 1929-9192 • E-ISSN: 1929-9192
PublisherUniversity of Waterloo (PUBLISHER • CA)
DOI10.15353/cjds.v10i2.795
OpenAlexW3205365085
LanguageEN
References cited18

This paper presents the project Hemo-resonance #1, the first in a series of art works that aim to open alternative pathways for thinking about and practicing diabetes. I begin by discussing the centrality of data collection via self-tracking for the management of Type 1 diabetes, and the ways this data collection orients understandings of diabetes and the diabetic body. Diabetic self-management is typically aimed at finding patterns in one’s data, establishing cause and effect relationships, and understanding trends in the body’s operation so that the diabetic can modulate behaviour to optimize health outcomes. Arguing that approaching data in different ways can provide insights into diabetic experience and relationships that extend beyond the goal-oriented approach of always doing better, I offer “data resonance” as a way of following other trajectories of data and bodies. Data resonance provides sensory-rich materialisations of data in ways that seek to detach themselves from the typical focus on the legibility or interpretability of the data. This suspension of habitual orientations to data makes space for thinking of bodies, data, and the relationships between the two in new ways, and offering meditations on the value of co-corporeality, human-non-human relationships, and bodily difference

Centrality · Cognitive psychology · Data collection · Data science · Diabetes management · Diabetes mellitus · Interpretability · Legibility · Social science · Sociology · Type 2 diabetes · Computer Science · Dietary Effects on Health · Medicine · Psychology · Artificial Intelligence

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Highly citedNo

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