Events

This three-day short course provides a hands-on introduction to machine learning techniques for seismic event analysis. Participants will learn to develop AI-aided earthquake catalogs through three key steps: event detection, association, and location with quality control. The course covers neural network architecture selection, model training, performance metrics, and application to continuous seismic data. The workshop will include a mix of presentations and hands-on tutorials. The final day will include a participant hack-a-thon in which students attempt to develop a machine learning based quality control workflow to apply to future generations of machine learning earthquake catalogs.

Graduate Students Unlock the Power of Research Mentoring!

Statewide California Earthquake Center – SCEC and CRESCENT are co-facilitating an interactive training to equip graduate students with essential skills to navigate the research training environment effectively. This training is built on the evidence-based Entering Mentoring curriculum from the Center for the Improvement of Mentored Experience in Research (CIMER).