Toward a community-driven approach to urban data-driven governance

Datos Bibliográficos

ID6428759
AutoresMatthew Bui (0000-0002-2815-404X, University of Michigan, autor de correspondencia)
Año2024
Volumen87
Número1
Páginas34-47
Fecha de publicación2024-06-17
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Communication Gazette (JOURNAL)
Identificadores de la revistaISSN: 1748-0485 • E-ISSN: 1748-0493
EditorialSAGE Publishing (PUBLISHER • US)
DOI10.1177/17480485241261572
OpenAlexW4399751265
IdiomaEN
Citas recibidas4
Referencias citadas21

Drawing from communication infrastructure theory, I propose a methodological and analytical intervention for the smart city and related initiatives: a community-driven approach to urban data-driven governance. This approach contends that data-related actors increasingly act as key storytelling agents within urban governance, given the rise of datafication. Moreover, it emphasizes the importance of an alternative storytelling network, positing the local storytelling network as a key—yet often minimally visible—set of experts and storytellers that can activate data-driven change and overcome extant gaps in dominant, “limited” versions of the smart city. As such, I spotlight two counterdata projects as prototypes for this intervention. In all, I argue it is imperative that urban governance explores this framework to incorporate, and design with, a wider range of local actors and knowledge in mind: not only to address critiques but, more so, to build more inclusive models in the public interest

Business · Corporate governance · Environmental planning · Geography · Political science · Process management · E-Government and Public Services · Human Mobility and Location-Based Analysis · Public Administration · Smart Cities and Technologies · Finance