The Everyday of Future-Avoiding: Administering the Data-Driven Smart City

Abstract

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.