Citizen-centered data governance in the smart city: from ethics to accountability
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Automated systems introduced during emergencies risk becoming permanent features of administration without renewed legal justification.
“Automated systems introduced during emergencies risk becoming permanent features of administration without renewed legal justification (Brauneis and Goodman, 2018; König, 2021).”
From Judicial review of algorithmic administrative systems legality evidence and remedies in the smart city state (2026) · cites this paper as König, 2021
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References 82 · Cited by 101
- Authors
- König, P. D.
- Affiliations
- University of Kaiserslautern (DE)
- Corresponding author
- König, Pascal D.
- ORCID
- König, Pascal D.
- Venue
- Sustainable Cities and Society
- Publisher
- Elsevier BV
- Published
- 2021-12
- Volume
- 75
- Pages
- 103308
- ISSN
- 2210-6707 (ISSN-L)
- OpenAlex
- W3196448651
- Cited by
- 101
- References
- 82
- Citations by year
- 2026: 27 · 2025: 33 · 2024: 21 · 2023: 9 · 2022: 9 · 2021: 2
- FWCI
- 4.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Sustainable Cities and Society (publishedVersion)
- VU Research Portal (submittedVersion)
- Funders
- Volkswagen Foundation
- Topics
- Physical Sciences › Engineering › Media Technology › Smart Cities and Technologies
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Law › Digitalization, Law, and Regulation
- Keywords
- smart cities, data governance, citizen-centric governance, democratic accountability, data ethics, legitimacy, governance framework, social sustainability
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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