Organizers
Lisa Landuyt
Vito Remote sensing
Sam Leroux
Ghent university - imec
Bridging the gap between cutting-edge AI and real-world humanitarian aid.
By integrating geospatial data with artificial intelligence, GeoAI can enhance situational awareness, decision-making, and response efficiency in disaster contexts. This workshop explores recent advances in machine learning, remote sensing, and spatial analytics for hazard monitoring, damage assessment, and emergency response during man-made and natural disasters. By bringing together researchers, practitioners, and policymakers, the workshop aims to highlight emerging methods, practical applications, and open challenges in leveraging GeoAI for timely, scalable, and resilient disaster response.
This workshop is part of the GeoAI Conference 2026, which will take place in Gent, Belgium. Attendance at the workshop is included in the main conference registration. Separate workshop-only registration is available for those who only want to attend the workshop. Please refer to this page for more information: Conference Registration
Supporting first responders and decision-makers during crises.
Identification and quantification of damage using AI.
Combining satellite, aerial, and ground-level data for holistic situational awareness.
Predictive modeling for infrastructure vulnerability and resilience.
Discussion of real-world applications and open challenges.
Any other topics related to the use of AI for disaster response.
You are invited to submit an extended abstract (600-1200 words). The extended abstract should include succinct and sufficient information about research objectives, significance, a clear methodology to ensure reproducibility, and preliminary or expected findings, where applicable. Extended abstracts presenting a vision and/or opinions are also welcome.
Extended abstracts will be reviewed in a single-blind manner. If accepted (after review), you are either invited to give an oral or a poster presentation at the workshop.
Extended abstracts must be written in English (any template; please include figures in the text) and submitted in PDF format through the Openreview website by April 20, 2026 (Anywhere on Earth, i.e., UTC-12).
Please check back later for the schedule.
Vito Remote sensing
Ghent university - imec