Project Grant 2425888

This $392,914 Project Grant awarded by the National Science Foundation's Geosciences Program (CFDA 47.050) to Carnegie Mellon University aims to develop advanced machine learning models and algorithms to enhance understanding and forecasting of earthquake dynamics. The project seeks to uncover intricate earthquake patterns by integrating statistical models, deep neural networks, and high-resolution seismic data from regions like California, Japan, and Türkiye. Key outcomes will include open-source software tools, educational programs to inspire the next generation of geoscientists, and improvements in earthquake prediction capabilities to enhance public safety and disaster preparedness. This interdisciplinary effort leverages expertise in machine learning and earthquake seismology, fostering global collaboration and knowledge sharing.