Special Session on “Data Science for Sustainable Cities”

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#)

Special Sessions