ws23

This workshop aims at discussing the advancement of open standards, methods, algorithms, and systems that are related to sensor web, internet of things (IoT), crowdsourcing, and intelligent systems to support human decision and planning, facilitate knowledge-aware digital twins, and improve governance of smart cities. We welcome papers that address the above from a geospatial perspective, as well as aspects beyond technologies, i.e., social and organizational issues related to the real-time use and citizen trustiness of data obtained from sensors, IoT devices, and crowdsourcing.

CHAIRS

RMIT University, Australia (WG IV/7)

Beijing University of Civil Engineering & Architecture, China (WG IV/7)

Politecnico di Milano, Italy (WG IV/7)

Themes of Event
  • Fusion and integration of data from sensors, IoT devices, and crowd sources for supporting digital twins and smart cities.
  • New methods and techniques (e.g., machine learning and deep learning based, decentralized processing, and edge computing) for analyzing, predicting, and simulating data from sensors, IoT devices, and crowd sources.
  • Research on ethical use of and trust in data from ubiquitous sensors, IoT devices, crowdsourcing, and intelligent systems.
  • Potential of sensor web, Internet of Things, crowdsourcing, participatory and intelligent systems for user-centered planning and decision support, situational awareness and emergency management.
  • Efficient use of the data from sensors, IoT devices, crowdsourcing, and intelligent/participatory systems for supporting the implementation of UNs’ SDGs.