SCEC Award Number 22162 View PDF
Proposal Category Workshop Proposal
Proposal Title SCEC CyberTraining for Seismology: Data Science and HPC
Investigator(s)
Name Organization
Marine Denolle University of Washington Alice-Agnes Gabriel University of California, San Diego
Other Participants Carl Tape
William Savran, Yongfei Wang, Scott Callaghan, Philip Maechling
Clara Yoon, Kyle Withers
SCEC Priorities 4b, 4c SCEC Groups Transitions, CS, CXM
Report Due Date 03/15/2023 Date Report Submitted 11/12/2024
Project Abstract
 With the increase in data volume and computing power, seismological research required advanced skills in data processing and parallel computing. The SCEC CyberTraining for Seismology created accessible entry points for high-performance computing and data management in scientific analysis for the SCEC community, including training in data management, software development, and open science. A pilot workshop trained researchers from college to PI level. The curriculum covered high-performance computing and data science in earthquake seismology, featuring 1) asynchronous introductory materials, 2) online tutorials on high-performance and cloud computing, and 3) a synchronous hybrid component that integrated learned material into participants' research. Topics included reproducible science, SCEC-specific software, seismic wavefield simulations, and data mining from the SCEDC cloud archive. The workshop provided approximately 20 hours of instructional tools, utilizing both existing and new tutorials compiled in a JupyterBook. An external evaluator observed and recorded the training sessions for broadcast on YouTube and social media. The developed materials were also incorporated into college and graduate-level seismology courses at the Principal Investigator's institutions. With publicly accessible resources and an inclusive virtual format, this project reached a wide audience, particularly enhancing diversity within the SCEC community by providing sustainable access for under-represented and early-career participants.
Intellectual Merit The project’s intellectual merit lies in its innovative development of multi-modal educational tools that significantly advance the accessibility and depth of learning in seismology. By creating an integrated JupyterBook that hosts tutorials in diverse formats—including interactive notebooks, slides, and videos—this project offers a comprehensive resource that caters to different learning styles and technical backgrounds. The virtual workshop, which successfully engaged 80 participants, and the associated YouTube channel with hundreds of views further demonstrate the project’s reach and effectiveness. This approach aligns directly with SCEC’s mission to promote education and knowledge dissemination in seismological science, representing a creative and scalable model for advancing field-specific training.
Broader Impacts With the increase in data volume and computing power, seismological research required advanced skills in data processing and parallel computing. The SCEC CyberTraining for Seismology created accessible entry points for high-performance computing and data management in scientific analysis for the SCEC community, including training in data management, software development, and open science. A pilot workshop trained researchers from college to PI level. The curriculum covered high-performance computing and data science in earthquake seismology, featuring 1) asynchronous introductory materials, 2) online tutorials on high-performance and cloud computing, and 3) a synchronous hybrid component that integrated learned material into participants' research. Topics included reproducible science, SCEC-specific software, seismic wavefield simulations, and data mining from the SCEDC cloud archive. The workshop provided approximately 20 hours of instructional tools, utilizing both existing and new tutorials compiled in a JupyterBook. An external evaluator observed and recorded the training sessions for broadcast on YouTube and social media. The developed materials were also incorporated into college and graduate-level seismology courses at the Principal Investigator's institutions. With publicly accessible resources and an inclusive virtual format, this project reached a wide audience, particularly enhancing diversity within the SCEC community by providing sustainable access for under-represented and early-career participants.
Exemplary Figure Choose Figure 4 to demonstrate SCEC tools.
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