Special Session on Data Science for Sustainable Cities
Chairs: Alberto Castellini, Alessandro Farinelli, Giuseppe Nicosia, Varun Ojha
Contact: alberto.castellini@univr.it
The amount of data generated nowadays by society, city infrastructures, and digital technologies around us is astonishing. The analysis, modeling and knowledge extraction of/from these data is a key asset for understanding urban environments and improving the efficiency of urban mobility, air quality and other forms of sustainability. This special session provides a platform to share high-quality research ideas related to data science methods and technologies for urban environments, a topic of crucial importance for many Sustainable Development Goals (i.e., SDG 7 on Sustainable Energy and SDG 11 on Sustainable Cities and Communities). Another important goal is to establish a meeting point for researchers in academia and industry who develop methodologies and technologies for data science, machine learning and artificial intelligence with specific applications in smart and sustainable cities.
- Data acquisition and data analysis in sustainable cities
- Data-driven predictive modeling for urban and built environments
- Time series analysis and forecasting for urban environments
- Anomaly detection for multivariate sensor data
- Robust machine learning and model verification
- ICT platforms for collecting, visualizing and analyzing data in urban environments
- Data analysis for mobility and transportation
- Data analysis for air quality monitoring
- Data analysis for heating management
- Data analysis for smart buildings and smart grids
- Model explainability and interpretability in urban applications
- Predictive modeling for district heating networks
- Predictive modeling for energy-efficient cities
- Innovative sensing platforms (e.g., mobile sensors) for data gathering
- Data gathering and management for citizen science in urban environments
- Data security, privacy and blockchain
- Analytics for municipalities and urban stakeholders
- Cloud and big data platforms
- Smart hospitals and healthcare for sustainable cities
- Data-driven modeling for urban complex systems
- Data analytics for emergency management
- Urban Analytics
- Information diffusion and social networks for sustainable cities
- Epidemic data analysis in urban environments
- City monitoring and Urban planning
- Senseable cities
- Analytics for smart growth and effective infrastructure
A selection of the best papers accepted for the presentation at the special session will be invited to submit an extended version for publication on Frontiers in Sustainable Cities (https://www.frontiersin.org/journals/sustainable-cities#)