Scope & Motivation
This workshop highlights the gap between AI research and operational end-to-end systems for coastal policy and public safety through real-world case studies and applications. It focuses on trustworthy and multimodal AI for climate and ocean risk, coastal hazards, and public safety, with an emphasis on beach hazard detection, early warning systems, and short-term risk forecasting.
The workshop addresses challenges associated with modern coastal and ocean datasets, which are heterogeneous, multi-source, and temporally irregular, including shoreline imagery, oceanographic grids, and environmental observations. Topics include deep learning, generative AI, and spatio-temporal methods for hazard detection, short-term and long-term forecasting, and the design of deployable end-to-end coastal safety systems.
Topics of Interest
We invite submissions on (but not limited to) the following themes:
Call for Papers
Proceedings & Submission
Proceedings of PRICAI 2026 will be published by Springer as a volume of Lecture Notes in Artificial Intelligence (LNAI) series. Papers should be submitted electronically in PDF format using the conference management tool, formatted with the Springer LNAI template.
- Written in English
- Short and long papers formatted using Springer LNCS / LNAI template, submitted via the PRICAI 2026 conference submission system
- Extended abstracts submitted directly to the Workshop Committee
- All accepted papers invited to present at the workshop
- A Best Paper Award will be presented at the workshop
Springer LNCS Template
Organizing Committee
