Le Anh Nguyen Long, S. V. D. Graaf, Athanasios Votsis
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引用次数: 0
Abstract
Borrowing from insights produced in urban planning, media and governance studies thereby leveraging the Ostrom-nian ideas of institutions and polycentricity, this paper examines how to govern commons in the smart city. It offers a reflection upon whether Distributed Ledger Technologies (DLTs) could be a key notion for the commons discourse which centers around stakeholders, self-organization, and a rights-based framework. By decentralizing ledgers and enabling the interoperability of the various interfaces, DLTs make records more accessible, exchanges more transparent, and reduce costs while increasing efficiency, and permit automation, therefore commoning interactions both offline and online are facilitated. We argue that the use of DLTs to preserve the spatiotemporal integrity of key urban spaces is a common value question that needs to be elucidated or renegotiated in order to provide any useful guidance to DLTs integrity-preserving potential. In doing so, we draw attention to DLT-based urban commons and urban governance, and point to inherent incompatibilities that may lead to radical and not-so-smooth changes in urban institutions, while providing a way of thinking which can move the smart city closer towards a values-centered process and away from a preoccupation with technology and efficiency.
期刊介绍:
Big Data & Society (BD&S) is an open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities, and computing and their intersections with the arts and natural sciences. The journal focuses on the implications of Big Data for societies and aims to connect debates about Big Data practices and their effects on various sectors such as academia, social life, industry, business, and government.
BD&S considers Big Data as an emerging field of practices, not solely defined by but generative of unique data qualities such as high volume, granularity, data linking, and mining. The journal pays attention to digital content generated both online and offline, encompassing social media, search engines, closed networks (e.g., commercial or government transactions), and open networks like digital archives, open government, and crowdsourced data. Rather than providing a fixed definition of Big Data, BD&S encourages interdisciplinary inquiries, debates, and studies on various topics and themes related to Big Data practices.
BD&S seeks contributions that analyze Big Data practices, involve empirical engagements and experiments with innovative methods, and reflect on the consequences of these practices for the representation, realization, and governance of societies. As a digital-only journal, BD&S's platform can accommodate multimedia formats such as complex images, dynamic visualizations, videos, and audio content. The contents of the journal encompass peer-reviewed research articles, colloquia, bookcasts, think pieces, state-of-the-art methods, and work by early career researchers.