This workshop on Data-driven Smart Cities (DASC 2023), held at the 39th IEEE International Conference on Data Engineering (ICDE 2023), aims to gather professionals from municipalities, industry, and academia focusing on different aspects of the Smart city. The purpose of the session is to discuss the latest scientific results and practical use cases, and identify the opportunities and challenges of novel best methods and practices for data-driven Smart cities.
The topics of this workshop include, but are not limited to
Data management and infrastructures in the Smart city
-Data acquisition, pre-processing, and storage
-Data representations
-IoT solutions and frameworks
-Crowdsourcing and Mobile computing
-Data management frameworks and platforms
-Data security and privacy
Data processing and analytics for the Smart city
-Machine learning and data mining
-Batch and stream data processing
-Frameworks and platforms for data analysis
-Context- and situation-awareness
-Context modelling, reasoning, decision-making
-Personalization
Applications and use cases
-Real world applications and experiments
-Smart City Data Visualization, Augmented and Virtual reality
-Simulations
Submission details
Accepted papers will be included into joint conference proceedings. Submissions should be 8 pages maximum, prepared with IEEE format (refer to workshop site for details). Contributions must present original, unpublished experiences and research, not submitted anywhere else. Only submissions in PDF are format are accepted. All the papers will be reviewed by at least two reviewers.
Organizers
-Ekaterina Gilman (University of Oulu, Finland)
-Xiang Su (Norwegian University of Science and Technology, Norway; & University of Oulu, Finland)
-Francesca Bugiotti (CentraleSupélec, France)