BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.2.3.1//EN TZID:America/Los_Angeles X-WR-TIMEZONE:America/Los_Angeles BEGIN:VEVENT UID:75@escience.washington.edu DTSTART;TZID=America/Los_Angeles:20240307T163000 DTEND;TZID=America/Los_Angeles:20240307T172000 DTSTAMP:20240304T183749Z URL:https://escience.washington.edu/events/uwdss-sanger/ SUMMARY:UW Data Science Seminar: Morgan Sanger DESCRIPTION:\n\nPlease join us for a UW Data Science Seminar on Thursday\, March 7th from 4:30 to 5:20 p.m. PST. The seminar will feature Morgan Sang er\, a PhD scholar in geotechnical engineering at the University of Washin gton.\n\nThe seminar will be held in the Electrical &\; Computer Engine ering Building (ECE)\, Room 105\n\n\n \;\n"Mechanics-informed\, geospa tial machine learning for natural hazard planning and response"\nAbstract: Hazard-resilient communities and infrastructure networks rely on hazard p redictions that can be made accurately\, quickly\, at regional scale\, and at high resolution. In earthquake-prone regions\, earthquake-induced soil liquefaction is one of the most relevant and consequential geotechnical h azards. Accurate soil liquefaction hazard analyses require geotechnical te sting\, which cannot be continuously performed across large areas\, thus p resenting the need for “geospatial” liquefaction models. This project employs supervised machine learning to extend engineering mechanics and sp arse geotechnical testing to map-scale using publicly available geospatial variables. In doing so\, this model can be used in network analysis for e mergency response planning\, evaluating community impacts\, and identifyin g mitigation priorities.\nBio: Morgan Sanger\, P.E.\, is a PhD student sch olar in geotechnical engineering at the University of Washington. Her doct oral research involves applying machine learning to large geospatial and g eotechnical data sets for improved natural hazard modeling and risk manage ment. Morgan is a 2023-2024 Herbold Data Science Fellow for the College of Engineering.\n\n\n\nThe UW Data Science Seminar is an annual lecture ser ies at the University of Washington that hosts scholars working across app lied areas of data science\, such as the sciences\, engineering\, humaniti es and arts along with methodological areas in data science\, such as comp uter science\, applied math and statistics. Our presenters come from all d omain fields and include occasional external speakers from regional partne rs\, governmental agencies and industry.\nThe 2023-2024 seminars will be h eld in person\, and are free and open to the public. LOCATION:Electrical and Computer Engineering Building\, Room 105\, 185 W St evens Way NE\, Seattle\, WA\, 98195\, United States X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=185 W Stevens Way NE\, Seat tle\, WA\, 98195\, United States;X-APPLE-RADIUS=100;X-TITLE=Electrical and Computer Engineering Building\, Room 105:geo:0,0 END:VEVENT BEGIN:VTIMEZONE TZID:America/Los_Angeles X-LIC-LOCATION:America/Los_Angeles BEGIN:STANDARD DTSTART:20231105T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST END:STANDARD END:VTIMEZONE END:VCALENDAR