ABSTRACT. Employing recent research results covering data-driven smart sustainable cities, and building my argument by drawing on data collected from ESI ThoughtLab, KPMG, and Osborne Clarke, I performed analyses and made estimates regarding the main challenges that cities are addressing or planning to address through smart city initiatives (%), skills gaps by maturity level (%, early-stage smart cities), businesses’ sentiment on their city’s environmental issues (%), and key actions to improve smart cities’ healthcare system (%). Structural equation modeling was used to analyze the collected data.

Keywords: data-driven smart sustainable city; networked urban environment

How to cite: Gutberlet, Trish (2019). “Data-driven Smart Sustainable Cities: Highly Networked Urban Environments and Automated Algorithmic Decision-Making Processes,” Geopolitics, History, and International Relations 11(2): 55–61. doi:10.22381/GHIR11220198

Received 11 February 2019 • Received in revised form 14 September 2019
Accepted 17 September 2019 • Available online 1 October 2019

Trish Gutberlet
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The Artificially Intelligent Algorithmic Systems
Research Unit at ISBDA, Glasgow, Scotland

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