Computational models of urbanism - smart cities that use data-driven planning and algorithmic administration - promise to deliver new urban efficiencies and conveniences. Yet these models limit our understanding of what we can know about a city. A City Is Not a Computer reveals how cities encompass myriad forms of local and indigenous intelligences and knowledge institutions, arguing that these resources are a vital supplement and corrective to increasingly prevalent algorithmic models.
Shannon Mattern begins by examining the ethical and ontological implications of urban technologies and computational models, discussing how they shape and in many cases profoundly limit our engagement with cities. She looks at the methods and underlying assumptions of data-driven urbanism, and demonstrates how the "city-as-computer" metaphor, which undergirds much of today's urban policy and design, reduces place-based knowledge to information processing. Mattern then imagines how we might sustain institutions and infrastructures that constitute more diverse, open, inclusive urban forms. She shows how the public library functions as a steward of urban intelligence, and describes the scales of upkeep needed to sustain a city's many moving parts, from spinning hard drives to bridge repairs.
Incorporating insights from urban studies, data science, and media and information studies, A City Is Not a Computer offers a visionary new approach to urban planning and design.
“" A City Is Not A Computer puts forth a much needed, audacious argument about the limitations of data-driven, computational thinking currently supported by countless municipalities and 'smart city' advocates. Accessible and provocative, Mattern is at her best, succinctly weaving constructively critical insights with wide ranging examples towards an urbanism of wisdom that tempers its focus on efficiencies with environmental justice, social sensitivity, and indigenous knowledge. Truer words have not been spoken when she describes such a city being 'smarter than any supercomputer.'" ---Erick Villagomez, Spacing Canada”
"Shannon Mattern’s new book A City Is Not a Computer holds an important caveat: A city isn’t just a computer. While artists and urbanists have sought to describe it in its messy totality, an oversimplified logic that has reduced urban reality to singular narratives. . .blinds us to its ‘prismatic complexity’. . . . A City Is Not a Computer is, most fundamentally, a push to “inject history and happenstance” into our appreciation of urban life, and a reminder to respect the impossibility of summarizing our messy cities with neat, tidy narratives."---Annie Howard, Metropolis
"A City is Not a Computer digs into the data, dashboards, and language that keep people from building better, safer communities. . . . The book reflects the ways a bunch of academic disciplines refract the idea of urbanism, of how to make a city that supports everyone who lives there. . . . Mattern’s deft dissection of metaphors for cities shows that when they’re misguided, they point to a failure not only of imagination but of a city’s ability to carry out its chief function—as a bulwark against disaster."---Adam Rogers, Wired
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A powerful perspective on types of intelligence that technocratic visions of smart cities unduly diminish.
"---Evan Selinger, Los Angeles Review of BooksShannon Mattern is professor of anthropology at the New School for Social Research. Her books include Code and Clay, Data and Dirt: Five Thousand Years of Urban Media and The New Downtown Library: Designing with Communities. She lives in New York City. Website wordsinspace.net Instagram @atlas.sounds Twitter @shannonmattern
Computational models of urbanism -- smart cities that use data-driven planning and algorithmic administration -- promise to deliver new urban efficiencies and conveniences. Yet these models limit our understanding of what we can know about a city. A City Is Not a Computer reveals how cities encompass myriad forms of local and indigenous intelligences and knowledge institutions, arguing that these resources are a vital supplement and corrective to increasingly prevalent algorithmic models.Shannon Mattern begins by examining the ethical and ontological implications of urban technologies and computational models, discussing how they shape and in many cases profoundly limit our engagement with cities. She looks at the methods and underlying assumptions of data-driven urbanism, and demonstrates how the "city-as-computer" metaphor, which undergirds much of today's urban policy and design, reduces place-based knowledge to information processing. Mattern then imagines how we might sustain institutions and infrastructures that constitute more diverse, open, inclusive urban forms. She shows how the public library functions as a steward of urban intelligence, and describes the scales of upkeep needed to sustain a city's many moving parts, from spinning hard drives to bridge repairs.Incorporating insights from urban studies, data science, and media and information studies, A City Is Not a Computer offers a visionary new approach to urban planning and design.
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