Data-Driven Regulation and Governance in Smart Cities

Forthcoming, A. Berlee, V. Mak, E. Tjong Tjin Tai (Eds), Research Handbook on Data Science and Law (Edward Elgar, 2018)

University of Groningen Faculty of Law Legal Studies Research Paper Series No. 7/2018

36 Pages Posted: 22 Feb 2018 Last revised: 10 Apr 2018

See all articles by Sofia Ranchordas

Sofia Ranchordas

University of Groningen, Faculty of Law

Abram Klop

Leiden University - Institute of Public Law

Date Written: February 19, 2018

Abstract

This paper discusses the concept of data-driven regulation and governance in the context of smart cities by describing how these urban centres harness these technologies to collect and process information about citizens, traffic, urban planning or waste production. It describes how several smart cities throughout the world currently employ data science, big data, AI, Internet of Things (‘IoT’), and predictive analytics to improve the efficiency of their services and decision-making. Furthermore, this paper analyses the legal challenges of employing these technologies to influence or determine the content of local regulation and governance. It explores in particular three specific challenges: the disconnect between traditional administrative law frameworks and data-driven regulation and governance, the effects of the privatization of public services and citizen needs due to the growing outsourcing of smart cities technologies to private companies; and the limited transparency and accountability that characterizes data-driven administrative processes. This paper draws on a review of interdisciplinary literature on smart cities and offers illustrations of data-driven regulation and governance practices from different jurisdictions.

Keywords: big data; data science; algorithms; smart cities; predictive analytics; regulation; data-driven regulation; governance

JEL Classification: K20

Suggested Citation

Ranchordas, Sofia and Klop, Abram, Data-Driven Regulation and Governance in Smart Cities (February 19, 2018). Forthcoming, A. Berlee, V. Mak, E. Tjong Tjin Tai (Eds), Research Handbook on Data Science and Law (Edward Elgar, 2018); University of Groningen Faculty of Law Legal Studies Research Paper Series No. 7/2018 . Available at SSRN: https://ssrn.com/abstract=3126221 or http://dx.doi.org/10.2139/ssrn.3126221

Sofia Ranchordas (Contact Author)

University of Groningen, Faculty of Law ( email )

Oude Kijk in 't Straat
Harmoniecomplex
9700 AS Groningen, Gn 9712
Netherlands

HOME PAGE: http://www.rug.nl/staff/s.h.ranchordas/

Abram Klop

Leiden University - Institute of Public Law ( email )

P.O. Box 9520
2300 RA Leiden, NL-2300RA
Netherlands

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