Modelling data

Ned Rossiter

Modelling data

Ned Rossiter

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Abstract

For many years computational systems have been accompanied by the cultural imaginary and technical unleashing of viruses hellbent on destruction. Bugs, worms, trojan horses" these are just some of the common names of malicious code designed to infect and replicate across computers and networks. With discursive attributes derived from the biological sciences, digital viruses obtain an anthropomorphic status that draws a line of equivalence between humans and machines. Both can be treated with sufficient intervention by experts in concert with a general cultural atmosphere alive to security, risk and parasitical capitalism. If viruses distributed across communication networks and through shared devices condition the ontology of the digital, what possibilities emerge for building media-theoretical concepts attentive to technical propensities and social practices of infection? Does data contagion, specifically, alert us to new circuits of distribution and modes of attack?

Original language	English
Title of host publication	Contagion Design: Labour, Economy, Habits, Data
Editors	Gay Hawkins, Ned Rossiter
Place of Publication	U.K.
Publisher	Open Humanities Press
Pages	142-146
Number of pages	5
ISBN (Electronic)	9781785421174
ISBN (Print)	9781785421181
Publication status	Published - 2021

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This is an open access book, licensed under Creative Commons By Attribution Share Alike license. Under this license, authors allow anyone to download, reuse, reprint, modify, distribute, and/ or copy their work so long as the authors and source are cited and resulting derivative works are licensed under the same or similar license. No permission is required from the authors or the publisher. Statutory fair use and other rights are in no way affected by the above. Read more about the license at www.creativecommons.org/licenses/by-sa/4.0

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https://openhumanitiespress.org/books/download/Hawkins-Rossiter_2021_Contagion-Design.pdfLicence: CC BY

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abstract = "For many years computational systems have been accompanied by the cultural imaginary and technical unleashing of viruses hellbent on destruction. Bugs, worms, trojan horses{"} these are just some of the common names of malicious code designed to infect and replicate across computers and networks. With discursive attributes derived from the biological sciences, digital viruses obtain an anthropomorphic status that draws a line of equivalence between humans and machines. Both can be treated with sufficient intervention by experts in concert with a general cultural atmosphere alive to security, risk and parasitical capitalism. If viruses distributed across communication networks and through shared devices condition the ontology of the digital, what possibilities emerge for building media-theoretical concepts attentive to technical propensities and social practices of infection? Does data contagion, specifically, alert us to new circuits of distribution and modes of attack?",

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AB - For many years computational systems have been accompanied by the cultural imaginary and technical unleashing of viruses hellbent on destruction. Bugs, worms, trojan horses" these are just some of the common names of malicious code designed to infect and replicate across computers and networks. With discursive attributes derived from the biological sciences, digital viruses obtain an anthropomorphic status that draws a line of equivalence between humans and machines. Both can be treated with sufficient intervention by experts in concert with a general cultural atmosphere alive to security, risk and parasitical capitalism. If viruses distributed across communication networks and through shared devices condition the ontology of the digital, what possibilities emerge for building media-theoretical concepts attentive to technical propensities and social practices of infection? Does data contagion, specifically, alert us to new circuits of distribution and modes of attack?

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BT - Contagion Design: Labour, Economy, Habits, Data

A2 - Hawkins, Gay

A2 - Rossiter, Ned

PB - Open Humanities Press

CY - U.K.

ER -

Modelling data

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