GeoAI’25: The 8th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery

Advances in artificial intelligence, hardware accelerators, and data processing architectures, continue to reach the geospatial information sciences, with a transformative impact on many societal challenges. Recent breakthroughs in deep learning have brought forward an automated capability to learn representational features from massive and complex multimodal data. In tandem, rapid innovations in sensing technologies support the collection of geospatial data in even higher resolution and throughput, supporting the observation, mapping, and analysis of different events/phenomena over the Earth’s surface with unprecedented detail. Combined, these developments are offering the potential for breakthroughs in geographic knowledge discovery, impacting decision-making in areas such as humanitarian mapping and the handling of natural disasters, intelligent transport systems, urban expansion analysis, health data analysis and epidemiology, biodiversity science, assessments related to climate and sustainability, and the general monitoring of the Earth’s surface.

The event aims to explore a range of themes, including the following: geospatial, artificial intelligence, geoai and geographic data science.