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Learning from lines

Critical Covid data visualizations and the quarantine quotidian

Bibliographic Data

ID5260795
AuthorsEmily Bowe (0000-0002-2936-5754, New School), Erin Simmons (0000-0002-6982-7415, New School), Shannon Mattern (0000-0003-4630-3982, New School, corresponding author)
Year2020
Volume7
Issue2
Pages2053951720939236-2053951720939236
Publication date2020-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBig Data & Society (JOURNAL)
Journal identifiersISSN: 2053-9517 • E-ISSN: 2053-9517
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/2053951720939236
PMID34191994
OpenAlexW3044618772
LanguageEN
Citations received23
References cited7

In response to the ubiquitous graphs and maps of COVID-19, artists, designers, data scientists, and public health officials are teaming up to create counter-plots and subaltern maps of the pandemic. In this intervention, we describe the various functions served by these projects. First, they offer tutorials and tools for both dataviz practitioners and their publics to encourage critical thinking about how COVID-19 data is sourced and modeled-and to consider which subjects are not interpellated in those data sets, and why not. Second, they demonstrate how the pandemic's spatial logics inscribe themselves in our immediate material landscapes. And third, they remind us of our capacity to personalize and participate in the creation of meaningful COVID visualizations-many of which represent other scales and dimensions of the pandemic, especially the quarantine quotidian. Together, the official maps and counter-plots acknowledge that the pandemic plays out differently across different scales: COVID-19 is about global supply chains and infection counts and TV ratings for presidential press conferences, but it is also about local dynamics and neighborhood mutual aid networks and personal geographies of mitigation and care

2019-20 coronavirus outbreak · Data science · Geography · Pandemic · Political science · Politics · Public relations · Sociology · Subaltern · Communication and COVID-19 Impact · Computer Science · COVID-19 Digital Contact Tracing · Law · Persona Design and Applications

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Unique citing works23
Citations per year3,83
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 23

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