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Cited by 570

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Code/space: software and everyday life

·2011·Choice Reviews Online

Abstract

After little more than half a century since its initial development, computer code is extensively and intimately woven into the fabric of our everyday lives. From the digital alarm clock that wakes us to the air traffic control system that guides our plane in for a landing, software is shaping our world: it creates new ways of undertaking tasks, speeds up and automates existing practices, transforms social and economic relations, and offers new forms of cultural activity, personal empowerment, and modes of play. In Code/Space, Rob Kitchin and Martin Dodge examine software from a spatial perspective, analyzing the dyadic relationship of software and space. The production of space, they argue, is increasingly dependent on code, and code is written to produce space. Examples of code/space include airport check-in areas, networked offices, and cafs that are transformed into workspaces by laptops and wireless access. Kitchin and Dodge argue that software, through its ability to do work in the world, transduces space. Then Kitchiun and Dodge develop a set of conceptual tools for identifying and understanding the interrelationship of software, space, and everyday life, and illustrate their arguments with rich empirical material. And, finally, they issue a manifesto, calling for critical scholarship into the production and workings of code rather than simply the technologies it enables--a new kind of social science focused on explaining the social, economic, and spatial contours of software.

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Metadata

Venue
Choice Reviews Online
Published
2011-12-01
Volume
49
Issue
04
Pages
49-2108-49-2108
ISSN
  • 0009-4978 (ISSN-L)
  • 1523-8253
OpenAlex
W343995096
Cited by
570
References
0
Type
book review
Language
en
Open access
closed

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CoChat. (2026). Citation check: Code/space: software and everyday life. https://app.cochat.ai/papers/10.5860/choice.49-2108
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Code/space: software and everyday life. (2011). Choice Reviews Online. https://doi.org/10.5860/choice.49-2108

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.