W13: Applications of Open Standards, IoT, Crowdsourcing, and Intelligent Systems for Smart Cities Governance and Digital Twin Implementation

Workshop Overview

Geospatial technologies have become integral to smart city development, offering unprecedented opportunities for efficient decision-making, planning, and governance. This workshop aims to explore and advance the state-of-the-art in geospatial technologies, focusing on open standards, methods, algorithms, and systems related to the sensor web, Internet of Things (IoT), crowdsourcing, and intelligent systems. Beyond technological aspects, the workshop will delve into social and organizational issues, emphasizing the real-time utilization of data, citizen trust, and the broader implications for smart city governance and digital twin(s) development.

Workshop Theme

  • Implementation of OGC standards in digital twin and smart city infrastructure.
  • Integration of IoT devices for comprehensive urban monitoring.
  • Harnessing crowdsourced data for urban planning and decision-making.
  • AI-based decision support systems for urban planning and governance.
  • Integration of ubiquitous sensors, IoT devices, crowdsourcing, and intelligent systems for digital twin development
  • Merge of IoT with digital twin for real-time urban data synchronization and predictive modelling
  • Research on ethical use of and trust in data from ubiquitous sensors, IoT devices, crowdsourcing, and intelligent systems.
  • Efficient use of the data from sensors, IoT devices, crowdsourcing, and intelligent/participatory systems for supporting the implementation of urban related UNs’SDGs.

Workshop Chair

Daniele Oxoli

Politecnico di Milano,
Italy (WG IV/7)

Daniele Oxoli holds B.Sc. and M.Sc. degrees in Environmental Engineering from Politecnico di Milano. He earned his PhD in Geomatics Engineering with honours in 2019. He is currently an Assistant Professor at Politecnico di Milano, and his work focuses on research and education in Volunteer Geographic Information, Geoinformatics, Software Engineering, Earth Observation, and spatial statistics. He is a Charter Member of OSGeo since 2017 and serves as Secretary for ISPRS WG IV/7 since 2022. He has co-authored over thirty indexed scientific publications.

Workshop Co-Chairs

Shishuo Xu

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

Shishuo Xu is an associate professor of Geographic Information System at Beijing University of Civil Engineering and Architecture, China. She obtained a B. Eng. Degree from China University of Mining and Technology in 2013 and a Ph.D. degree from Toronto Metropolitan University (formerly Ryerson University) in 2020. Her research interests include spatiotemporal data analysis, urban event detection and prediction, and urban functional zone identification.

Monica Wachowicz

RMIT University,
Australia (WG IV/7)

Monica Wachowicz is professor of Data Science at the Royal Melbourne Institute of Technology. She is also Associate Dean of Geospatial Science, Research Leader of Cyber and Data Analytics of the Space Industry Hub, Deputy Director of the Sir Lawrence Wackett Defence & Aerospace Centre, and the academic representative of the Information Governance Board. She is the founding Member of the IEEE Technical Sub-Committee on Big Data and Member of the editorial board of 9 scientific journals. Her recent research focuses on machine learning to analyse data streams from the IoT, with the purpose of identifying opportunities and challenges in building sustainable smart cities.

Songnian Li

Toronto Metropolitan University,
Canada (WG IV/7)

Songnian Li a professor of Geomatics Engineering at Toronto Metropolitan University (formerly Ryerson University). He holds a B. Eng. degree in Surveying Engineering from the Wuhan Technical University of Surveying and Mapping, China and a Ph.D. degree from the University of New Brunswick, Canada. His recent research projects have focused on big geospatial data analytics (crowdsourced and geosocial media data), human mobility, spatio-temporal dynamics, and digital twin for smart cities.