Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
How cities learn : urban experimentation for creating and governing technology
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Urban Studies and Planning, May, 2020 ; Cataloged from the official PDF of thesis. ; Includes bibliographical references. ; As technologies become increasingly complex and embedded in cities, they are less and less intelligible with existing urban governance frameworks. In response, actors in cities around the world are taking up urban experimentation. The goal of this dissertation is twofold: to understand how urban experimentation enables actors to create and govern technology that generates civic value, and under what conditions it contributes to social, economic and political adaptation over time. This is a question of how cities learn. An urban experiment is an intervention with a sociotechnical system in the public realm. It is explicitly bounded in space and time, it involves groups of actors from different sectors, and its goal is to evaluate the intervention. I elaborate civic value as an evaluative lens, and turn to pragmatist and evolutionary theories of political epistemology to provide a theoretical foundation for understanding market and state adaptation as a collective learning process. ; The dissertation presents a body of empirical research: a nested case study of 12 urban experiments across three cities (Boston, Montreal, Amsterdam), two domains (real property, transportation), and several control regimes (from formal regulation to no control). I synthesize descriptive results at each of these levels, and find that urban experiments are typically structured as Partnerships, Sandboxes, or Exceptions. I then examine urban experiments through a theoretical lens. Actors in these cases have three different ways of thinking about how an experiment creates civic value. The first two -- performative and stochastic experimentation -- ; are prevalent, and they align with today's orthodox policy models. I find evidence that both can yield practical, short-term outcomes, in terms of creating technology or advancing regulation. However, ...
How cities learn : urban experimentation for creating and governing technology
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Urban Studies and Planning, May, 2020 ; Cataloged from the official PDF of thesis. ; Includes bibliographical references. ; As technologies become increasingly complex and embedded in cities, they are less and less intelligible with existing urban governance frameworks. In response, actors in cities around the world are taking up urban experimentation. The goal of this dissertation is twofold: to understand how urban experimentation enables actors to create and govern technology that generates civic value, and under what conditions it contributes to social, economic and political adaptation over time. This is a question of how cities learn. An urban experiment is an intervention with a sociotechnical system in the public realm. It is explicitly bounded in space and time, it involves groups of actors from different sectors, and its goal is to evaluate the intervention. I elaborate civic value as an evaluative lens, and turn to pragmatist and evolutionary theories of political epistemology to provide a theoretical foundation for understanding market and state adaptation as a collective learning process. ; The dissertation presents a body of empirical research: a nested case study of 12 urban experiments across three cities (Boston, Montreal, Amsterdam), two domains (real property, transportation), and several control regimes (from formal regulation to no control). I synthesize descriptive results at each of these levels, and find that urban experiments are typically structured as Partnerships, Sandboxes, or Exceptions. I then examine urban experiments through a theoretical lens. Actors in these cases have three different ways of thinking about how an experiment creates civic value. The first two -- performative and stochastic experimentation -- ; are prevalent, and they align with today's orthodox policy models. I find evidence that both can yield practical, short-term outcomes, in terms of creating technology or advancing regulation. However, ...
How cities learn : urban experimentation for creating and governing technology
01.01.2020
1193557266
Hochschulschrift
Elektronische Ressource
Englisch
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| UB Braunschweig | 2015
Sustainable cities : governing for urban innovation
| TIBKAT | 2015