Introductory & Lightning Talks
Welcome and getting to know each other.
Welcome and getting to know each other.
Learn about best practices for big-data and big simulation seismological research, research reproducibility, and open science.
Coffee break
Learn how to containerized your code with the SCOPED platform and container registry.
Cohort building luncheon
Best practice to use academic software and how to contribute to open source projects.
Group A presents their research projects at a poster session.
Cohort Mixing luncheon (groups are shuffled)
MTUQ, force and moment tensor inversion wityh FK-axisem-specfem3d Green’s functions.
Panel discussion on best practices for community-led open source software.
SeisSol
Global Seismology with SPECFEM3D_GLOBE, Forward and adjoint wavefield simulations on HPC - Frontera
Group B presents their research projects at a poster session.
Combining machine-learning, template matching, and double-difference methods
Cloud data management ,s3, aws batch, lambda services, coiled. Students will practice with a earthquake detection problem on California data.
Learn how to manage big data with MsPass
Office hours and group discussion about welcoming new developers
Use NoisePy for large-scale ambient noise seismology on the cloud
Develop robust and reproducible machine learning workflows in ML seismology. Curate seismic data, clean up training data.
Learn how to denoise seismic data using deep learning for broadband and Distributed acoustic sensing data
Office hours and group discussion about welcoming new developers