Date/Time

Date(s) - 04/06/2022
4:30 pm - 5:30 pm

Please use this zoom link for the event.

 

Please join us for a UW Data Science Seminar event on Wednesday, April 6th from 4:30 to 5:30 p.m. The seminar will feature Zoe Krauss (School of Oceanography) sharing her final projects from our annual Winter Incubator program earlier this year.

The event will be held in the UW Physics and Astronomy Auditorium (PAA 118)

“Machine-learning-based detection of offshore earthquakes”

Abstract: The fault zones that cause the most devastating earthquakes and tsunamis on Earth lie beneath our oceans, but offshore seismic observations are severely limited by a lack of instrumentation and noisy data. To fully understand Earth’s geodynamics and the hazard that offshore fault zones present, we need to overcome these limitations to produce offshore earthquake catalogs that capture as small of signals as possible. In recent years, deep neural networks have shown great performance in creating earthquake catalogs using land-based data. For our eScience incubator project, we developed a python-based workflow to test the performance of these largely land-based pre-trained deep neural networks on offshore seismic data.

The UW Data Science Seminar is an annual lecture series at the University of Washington that hosts scholars working across applied areas of data science, such as the sciences, engineering, humanities and arts along with methodological areas in data science, such as computer science, applied math and statistics. Our presenters come from all domain fields and include occasional external speakers from regional partners, governmental agencies and industry.

The 2021-2022 seminars will be both in-person and virtual, and are free and open to the public.