Application of Data Science in Smart Cities
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (25 May 2022) | Viewed by 12884
Special Issue Editor
Interests: innovation; smart cities; A.I. and data science; complexity
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the last few decades, A.I. & big data have transformed not only organizations but markets and society as a whole. During these years, we witnessed the same promise of data-driven cities attempting to materialize. First embodied in projects such as Zero Deaths, which uses analytics aimed at eradicating fatal traffic accidents, then with the rise of A.I. applications for specific areas such as traffic management, as well as with the creation of Analytics Departments in cities, and later with the use of external Data Labs that provided the necessary expertise. Sensorization of cities has been an ongoing effort that, with its advances, has raised privacy concerns, sparking a variety of regulatory attempts.
However, we still lack a compendium of best practices and frameworks that show both the possibilities and the limits of A.I. and data in cities together with lessons learned from the best cases. This Special Issue aims to contribute to filling this gap by advancing our understanding of the potential and the realities of A.I., analytics and big data in cities.
With this in mind, we aim to attract scholarly contributions that address (but are not limited to) the following research questions:
- Data-driven cities: How to use data to improve city governance and services.
- Sensors, IoT and data: Infrastructures, governance and applications.
- The use of analytics in cities to redefine citizenship and citizen participation.
- Governance to ensure privacy and fair use of A.I. and analytics.
- The use of A.I., analytics and big data for the digital transformation of cities.
- Use of data for sustainable cities.
- The raise of citizens’ digital rights.
- Data sharing, data trusts, data governance and cities as a platform.
Dr. Esteve Almirall
Guest Editor
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Keywords
- data-driven cities
- data labs
- city analytics
- A.I. in cities
- city twins
- urban analytics
- digital rights
- sensors in cities
- citizen digital rights
- data sharing in cities
- city data infrastructures
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