The National Science Foundation (NSF) awarded a $674,291 Project Grant under the Geosciences program (CFDA 47.050) to the Research Foundation of the City University of New York (RFCUNY) to conduct research aimed at understanding landslide causality. The project, titled "CAIG: Unifying Landslide Domain Knowledge and AI to Understand Landslide Causality," will leverage advanced artificial intelligence (AI) and machine learning (ML) technologies in combination with established geoscientific domain knowledge. The key products and services to be delivered include: 1) establishing and annotating datasets and benchmarks for landslide causality analysis; 2) developing AI-physics hybrid models that unify landslide domain knowledge with AI models to explore hydro-eco-geomorphic synergy; 3) explaining the AI-physics hybrid models and analyzing key factors contributing to landslide causality; and 4) evaluating the effectiveness of the proposed algorithms across scales, times, and ecoregions. This research aims to enhance landslide situational awareness and preparedness, while also informing broader efforts to integrate AI/ML approaches into Earth surface modeling for applications such as floods and soil erosion.
Generated 3/4/25, 7:10 AM