| 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 |
| DOI |
10.7560/IC57204 |
| 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. |
| Author Keywords |
smart cities; prevention; prediction; data-driven; governance; bureaucracy |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Social Science Citation Index (SSCI); Arts & Humanities Citation Index (A&HCI) |
| EID |
WOS:000814746400004 |
| WoS Category |
History; History Of Social Sciences; Information Science & Library Science |
| Research Area |
History; Social Sciences - Other Topics; Information Science & Library Science |
| PDF |
|