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Information, Communication & Society, Volume 27, Issue 4 (2024)

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Information, Communication & Society, Volume 27, Issue 4 (2024)

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Volume 27, 2024 Vol 26, 2023 Vol 25, 2022 Vol 24, 2021 Vol 23, 2020 Vol 22, 2019 Vol 21, 2018 Vol 20, 2017 Vol 19, 2016 Vol 18, 2015 Vol 17, 2014 Vol 16, 2013 Vol 15, 2012 Vol 14, 2011 Vol 13, 2010 Vol 12, 2009 Vol 11, 2008 Vol 10, 2007 Vol 9, 2006 Vol 8, 2005 Vol 7, 2004 Vol 6, 2003 Vol 5, 2002 Vol 4, 2001 Vol 3, 2000 Vol 2, 1999 Vol 1, 1998

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Care-ful Data Studies

Editorial

Care-ful data studies: or, what do we see, when we look at datafied societies through the lens of care?

Irina Zakharova & Juliane Jarke

Pages: 651-664

Published online: 19 Feb 2024

AbstractforCare-ful data studies: or, what do we see, when we look at datafied societies through the lens of care? | Full Text | References | PDF (1.2 MB) | EPUB

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Open Access

Articles

Article

Representing the adarsh biometric balak or the ideal biometric child: locating poor children’s care work in the Aadhaar welfare state

Preeti Mudliar

Pages: 665-682

Published online: 05 Feb 2024

AbstractforRepresenting the adarsh biometric balak or the ideal biometric child: locating poor children’s care work in the Aadhaar welfare state | Full Text | References | PDF (1.8 MB) | EPUB

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Open Access

Article

Care, collaboration, and service in academic data work: biocuration as ‘academia otherwise’

Sarah R. Davies & Constantin Holmer

Pages: 683-701

Published online: 19 Feb 2024

AbstractforCare, collaboration, and service in academic data work: biocuration as ‘academia otherwise’ | Full Text | References | PDF (1.4 MB) | EPUB

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Open Access

Article

Who cares about data? Data care arrangements in everyday organisational practice

Juliane Jarke & Stefanie Büchner

Pages: 702-718

Published online: 28 Feb 2024

AbstractforWho cares about data? Data care arrangements in everyday organisational practice | Full Text | References | PDF (1.2 MB) | EPUB

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Open Access

Article

A careful approach to artificial intelligence: the struggles with epistemic responsibility of healthcare professionals

Marthe Stevens & Anne Beaulieu

Pages: 719-734

Published online: 15 Dec 2023

AbstractforA careful approach to artificial intelligence: the struggles with epistemic responsibility of healthcare professionals | Full Text | References | PDF (1.3 MB) | EPUB

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Open Access

Article

Torquing patients into data: enactments of care about, for and through medical data in algorithmic systems

Natalia-Rozalia Avlona & Irina Shklovski

Pages: 735-757

Published online: 07 Mar 2024

AbstractforTorquing patients into data: enactments of care about, for and through medical data in algorithmic systems | Full Text | References | PDF (1.6 MB) | EPUB

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Open Access

Article

Data phronesis and the duality of care in the air quality data politics

Bartosz Ślosarski

Pages: 758-773

Published online: 18 Jan 2024

AbstractforData phronesis and the duality of care in the air quality data politics | Full Text | References | PDF (1.2 MB) | EPUB

684 Views
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Open Access

Article

Caring for data in later life – the datafication of ageing as a matter of care

Vera Gallistl & Roger von Laufenberg

Pages: 774-789

Published online: 07 Nov 2023

AbstractforCaring for data in later life – the datafication of ageing as a matter of care | Full Text | References | PDF (1.4 MB) | EPUB

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Article

The relational, emotional and infrastructural work of older people in pandemic digital interventions

Daniel López-Gómez & Israel Rodríguez-Giralt

Pages: 790-805

Published online: 31 Jan 2024

AbstractforThe relational, emotional and infrastructural work of older people in pandemic digital interventions | Full Text | References | PDF (1.3 MB) | EPUB

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Article

Performing the care crisis through the datafication of elderly welfare care

Michela Cozza

Pages: 806-814

Published online: 08 Sep 2023

AbstractforPerforming the care crisis through the datafication of elderly welfare care | Full Text | References | PDF (879.8 KB) | EPUB

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Information, Communication & Society (Vol.27, Iss.4, 2024)

Care-ful Data Studies

Care-ful Data Studies

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