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Big data : a new medium?

Title
Big data : a new medium? / edited by Natasha Lushetich.
ISBN
036733383X
0367333848
042931955X
1000214443
1000214524
1000214605
9780367333836
9780367333843
9780429319556
9781000214444
9781000214529
9781000214604
9780367333836
9780367333843
Publication
Abingdon, Oxon ; New York, NY : Routledge, 2021.
Copyright Notice Date
©2021
Physical Description
1 online resource.
Local Notes
Access is available to the Yale community.
Notes
Description based on online resource; title from digital title page (viewed on November 24, 2020).
Access and use
Access restricted by licensing agreement.
Biographical / Historical Note
Natasha Lushetich is Professor of Contemporary Art & Theory at the University of Dundee. Her research is interdisciplinary and focuses on intermedia, biopolitics and performativity, the status of sensory experience in cultural knowledge, hegemony, and complexity.
Summary
"Drawing on a range of methods from across science and technology studies, digital humanities and digital arts, this book presents a comprehensive view of the Big Data phenomenon. Big data architectures are increasingly transforming political questions into technical management by determining classificatory systems in the social, educational, and healthcare realms. Data, and their multiple arborisations, have become new epistemic landscapes. They have also become new existential terrains. The fundamental question is: can big data be seen as a new medium in the way photography or film were when they first appeared? No new medium is ever truly new. It's always remediation of older media. What is new is the medium's re-articulation of the difference between here and there, before and after, yours and mine, knowable and unknowable, possible and impossible. This transdisciplinary volume, incorporating cultural and media theory, art, philosophy, history, and political philosophy is a key resource for readers interested in digital humanities, cultural and media studies"-- Provided by publisher.
Variant and related titles
Taylor & Francis. EBA 2024-2025.
Other formats
Print version: Big data Abingdon, Oxon ; New York, NY : Routledge, 2021.
Format
Books / Online
Language
English
Added to Catalog
October 04, 2024
Series
Routledge studies in science, technology, and society ; 43.
Routledge studies in science, technology and society ; 43
Bibliography
Includes bibliographical references and index.
Contents
Prologue: Why ask the question? / Natasha Lushetich
Big data and/versus people knowledge : on the ambiguities of humanistic research / Ingrid Hoofd
Simulated replicants forever? Big data, engendered determinism and the end of prophecy / Franco 'Bifo' Berardi
Visual hallucination of probable events : on environments of images, data, and machine learning / Abelardo Gil-Fournier and Jussi Parikka
Biometric datafication in governmental and personal spheres / Btihaj Ajana
Digital biopolitics and the problem of fatigue in platform capitalism / Tim Christaens
Appreciating machine-generated artwork through deep learning mechanisms / Lonce Wyse
Data to the Nth degree : zooming in on the smart set / Craig J. Saper
Intellectual autonomy after artificial intelligence : the future of memory institutions and historical research / Nicola Horsley
BeHere : prosthetic memory in the age of digital frottage / Natasha Lushetich and Masaki Fujihat
Surfaces and depths : an aesthetics of big data / Dominic Smith
POV data doubles, the dividual and the drive to visibility / Mitra Azar
Reading big data as the heterogenous subject / Simon Biggs
Epilogue: Telepathic exaptation in late cognitive capitalism : a speculative approach to the effects of digitality / Warren Neidich.
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