Out of the loop? On the radical and the routine in urban big data

Sarah Barns

Urban Studies, 2021, vol. 58, issue 15, 3203-3210

Abstract: This commentary interrogates what it means for routine urban behaviours to now be replicating themselves computationally. The emergence of autonomous or artificial intelligence points to the powerful role of big data in the city, as increasingly powerful computational models are now capable of replicating and reproducing existing spatial patterns and activities. I discuss these emergent urban systems of learned or trained intelligence as being at once radical and routine. Just as the material and behavioural conditions that give rise to urban big data demand attention, so do the generative design principles of data-driven models of urban behaviour, as they are increasingly put to use in the production of replicable, autonomous urban futures.

Keywords: artificial intelligence; big data; cybernetics; machine learning; urban futures; 人工智能; å¤§æ•°æ ®; 控制论; 机器学ä¹; åŸŽå¸‚æœªæ ¥ (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:urbstu:v:58:y:2021:i:15:p:3203-3210

DOI: 10.1177/00420980211014026

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