| Title | The Everyday of Future-Avoiding: Administering the Data-Driven Smart City |
|---|---|
| ID_Doc | 37701 |
| Authors | Horgan, L |
| Title | The Everyday of Future-Avoiding: Administering the Data-Driven Smart City |
| Year | 2022 |
| Published | Information & Culture, 57.0, 2 |
| Abstract | Drawing on a two-year ethnographic study of data-driven governance in Los Angeles, this study shows that while much is made of using smart, data-driven approaches to make better, more sustainable, and more connected city futures, the everyday practices of data-driven governance are instead wrapped around efforts to prevent unwanted futures. Put another way, while the rhetoric of the smart city promises a utopia of transparency, efficiency, and well-being, the practical application of smart city tools is cast through their opposites: preventing waste, crime, disaster, and so on. Detailing two administrative projects that aim to prevent through prediction-crime prevention and homelessness prevention-this study asks, What does the coupling of prevention logics and predictive analytics do? I suggest that rendering preferable futures by avoiding unwanted ones expands the epistemic infrastructure of the smart city and, with it, reliance on surveillance. |
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