Abstract
A model is "any representation or concept that helps us to understand the world whenever common sense or direct observations are inadequate." Common sense and direct observation often prove inadequate to the complexities of the twenty-first-century cities. Thus, models abound in urban life and governance. However, a model is not only a tool for control but a way of defining a situation. Framing the city so as to render it susceptible to interpretation and intervention is an exercise not merely with scientific or technological value but with rhetorical power. The tradition of comprehensive urban models, beginning with the advent of computers and culminating in the self-analyzing "smart city," I argue, sidelines this rhetorical power in favor of a tone of scientific authority that, while justifiable in technical domains, does not legitimately scale to the level of a political community. Making good on the civic potential of Big Data thus requires recontextualizing properly scientific enterprises within an adequate political philosophy of the city, allowing for the construction of cultural urban models that set human freedom at the core of its inner workings.
Subject
General Earth and Planetary Sciences,General Environmental Science
Reference37 articles.
1. Aiello, Giorgia. "Inventorizing, Situating, Transforming: Social semiotics and data visualization." In Data Visualization in Society, edited by M. Ingebretson, H. Kennedy. Amsterdam: University Press, 2020.10.2307/j.ctvzgb8c7.9
2. Aristotle. Politics. Translated by Benjamin Jowett. Oxford: Clarendon Press, 1908.
3. Batty, Michael. "Models, Methods and Rationality in Urban and Regional Planning: Developments Since 1960." Area 8:2 (1976), 93-7.
4. Batty, Michael. "Smart cities, big data." Environment and Planning B 39 (2012), 191-3.10.1068/b3902ed
5. Batty, Michael. Inventing Future Cities. Cambridge: MIT Press, 2018.10.7551/mitpress/11923.001.0001