COVIC: Collecting Visualizations of COVID-19 to Outline a Space of Possibilities.
We describe the COVID-19 Online Visualization Collection (COVIC), its goals, how it came to be, and why we propose such a collection as a new path for design research. The COVIC database contains a collective visualization response to the COVID-19 pandemic gathered from approximately 3,000 articles,...
| Publicado en: | Design Issues Vol. 38; no. 4; pp. 44 - 63 |
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| Autores principales: | , , |
| Formato: | Artículo |
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MIT Press
Autumn2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=159489520&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 159489520 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 07479360 DIU jtl: Design Issues issn: 07479360 maglogo: N pubinfo: dt: Autumn2022 vid: 38 iid: 4 pid: 776 pub: MIT Press artinfo: ui: 159489520 10.1162/desi_a_00697 ppf: 44 ppct: 19 formats: fmt: @attributes: type: P size: 5.9MB tig: atl: COVIC: Collecting Visualizations of COVID-19 to Outline a Space of Possibilities. aug: au: Kahn, Paul Dubberly, Hugh Rodighiero, Dario sug: keyword: covid-19 pandemic data visualizations design education information design ab: We describe the COVID-19 Online Visualization Collection (COVIC), its goals, how it came to be, and why we propose such a collection as a new path for design research. The COVIC database contains a collective visualization response to the COVID-19 pandemic gathered from approximately 3,000 articles, each containing one or more visualizations (about 12,000 in total). We have sought to create a resource for design research—a boundary object—that will be useful to any of the disciplines brought together through their response to the pandemic event. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Design Issues is the property of MIT Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Design Issues holder: MIT Press dt: @attributes: year: 2022 holdings: @attributes: islocal: N |
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