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Sensing in the wild: A DCODE DRS Lab exploring a more-than-human approach to distributed urban sensing

Authors: Turtle, Grace L.; Guerrero Millan, Carlos; Özçetin, Seda; Patil, Mugdha; Bendor, Roy;

Sensing in the wild: A DCODE DRS Lab exploring a more-than-human approach to distributed urban sensing

Abstract

Sensing in the Wild is a speculative experiment in designing a decentralised urban sensing system from a more-than-human perspective. During the Lab, run during DRS 2022 in Bilbao, Spain, participants assumed different identities – roleplaying as children but also as moss, as municipal authorities but also as CCTV cameras, as pigeons but also as undocumented immigrants trying to evade the authorities – and were asked to feed into the sensing system data that reflects their particular perspectives and interests.

Countries
Sweden, Netherlands
Keywords

creative methods, Smart city, Speculative design, Design, smart city, Creative methods, speculative design, More-than-human design, more than human, More than human, Artificial Intelligent (AI)

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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