SNPD 2025-Summer III

Special Session on Urban Computing and Spatiotemporal Intelligence

Overview and Scope

This interdisciplinary session aims to explore the cutting-edge advancements and applications at the intersection of urban science, artificial intelligence, and geospatial technology. As cities generate massive, dynamic, and heterogeneous spatiotemporal data from sensors, IoT devices, satellites, and GPS, traditional analytical methods are increasingly inadequate. This session will bring together researchers, practitioners, and policymakers to discuss how novel computational paradigms—such as AI, machine learning, deep learning, and large-scale spatiotemporal analytics—are transforming our ability to understand, model, and optimize complex urban systems. We will delve into the entire data lifecycle: from the acquisition and integration of multi-source data to the development of sophisticated models for prediction, simulation, and decision-support. The goal is to foster dialogue on overcoming the challenges of data heterogeneity, scalability, and model generalizability, and to chart a course toward more responsive, resilient, and intelligent urban environments.

Topics of relevance for the special session papers include but not limited to:

• ● Computer Vision for Urban Applications
• ● Foundations of Spatiotemporal Intelligence
• ● AI and Machine Learning for Urban Data
• ● Urban Sensing and Data Acquisition
• ● Spatiotemporal Forecasting and Simulation
• ● Big Geospatial Data Analytics
• ● Urban Governance and Digital Twins