Technical Short Courses

About

Program Overview

In response to the pressing demand for expertise in advanced fields such as earthquake geology, tectonic geodesy, and AI-driven geoscience, CRESCENT will sponsor a series of technical short courses to help train the next generation of geoscientists. These courses will employ modern pedagogy and focus on widely employed research techniques in subduction zone geoscience with practical applications.

Upcoming

Strain Accumulation and Release from GNSS

This three-day virtual short course provides requisite tools for recognizing how earthquake cycle signatures in the Cascadia Subduction Zone are expressed in geodetic observations. It will introduce basic processing of geodetic time series to interpret longer-term strain accumulation processes and slow slip events. It will cover extracting velocities and displacements from geodetic time-series observations and introduce basic inverse methods to use geodetic data to constrain fault slip patterns. The workshop will include a mix of presentations and hands-on tutorials. 

Reading the Earthquake Record: A Field Course in Paleoseismology

This five-day, field-based technical short course exposes participants to paleoearthquake studies and their application to understanding fault behavior in space and time. Integrated topics include subsidence stratigraphy, ecology-based paleoseismic studies, tsunami deposit mapping, trench-based paleoseismology, high-resolution lidar topography, and surficial geologic mapping. Based at the Oregon Institute of Marine Biology in Charleston, the course includes limited classroom time and 4.5 days of fieldwork in the marshes and adjacent uplands of Coos Bay on Oregon’s southern coast.

Past

Machine Learning: Building Earthquake Catalogs

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.