Room: Exhibit Hall
Date: 5/2/2024
Session Time: 8:00 AM to 5:45 PM (local time)
The rapid growth of geophysical data, sensing technologies, and computing power has opened new frontiers in seismological research and education. To harness the potential of these resources, seismologists need to adopt advanced cyberinfrastructure and modern numerical methods for data collection, transformation, analysis, storage, and distribution at scale. This session will showcase how cloud computing services, open software frameworks, and high-performance computing (HPC) can enable open, reproducible, and transformative science in seismology. We will also explore how these technologies can support seismology education and training for the next-generation workforce. We invite contributions from researchers, data producers, and data providers who have experience in using or developing cutting-edge cyberinfrastructure for large-scale seismological problems such as dynamic rupture modeling, full waveform simulations and inversions, data mining using large seismic networks and distributed acoustic sensing. We also welcome contributions from educators who have implemented pedagogical approaches to teach seismology using modern cyberinfrastructure. Additionally, we encourage contributions from community efforts that aim to facilitate the adoption of these technologies, such as SCOPED, MTMOD, CRESCENT, SCEC, ChEESE, GeoInquire and Quakeworx.
Conveners:
Alice-Agnes Gabriel, University of California, San Diego (algabriel@ucsd.edu)
Henry Berglund, EarthScope Consortium (henry.berglund@earthscope.org)
Marine A. Denolle, University of Washington (mdenolle@uw.edu)
Tim Dittmann, EarthScope Consortium (tim.dittmann@earthscope.org)
Zoe Krauss, University of Washington (zkrauss@uw.edu)
Eileen Martin, Colorado School of Mines (eileenrmartin@mines.edu)
manda Thomas, University of Oregon (amthomas@uoregon.edu)
Chad Trabant, EarthScope Consortium (chad.trabant@earthscope.org)
Ian Wang, University of Texas at Austin (iwang@tacc.utexas.edu)
Poster Presentations
| Participant Role | Details | Action |
|---|---|---|
| Submission | Deep Implicit Time Series Modeling for Earthquake Phase Picking on Edge Devices | View |
| Submission | Updates to the U.S. Geological Survey’s Product Distribution Layer and Impacts on Comcat and Realtime Systems | View |
| Submission | Cloud-Based Gnss Processing Pipeline for the Shakealert Earthquake Early Warning System | View |
| Submission | SCOPED Update: A Cloud and HPC Software Platform for Computational Seismology | View |
| Submission | Using Learning Analytics to Evaluate the Instructional Design and Student Performance in a Large-Enrollment Scientific Computing Workshop | View |
| Submission | Alaska Earthquake Center’s Workforce Development Program Takes Shape | View |
Leveraging Cutting-Edge Cyberinfrastructure for Large Scale Data Analysis and Education [Poster Session]
Description