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UID:77@escience.washington.edu
DTSTART;TZID=America/Los_Angeles:20240327T163000
DTEND;TZID=America/Los_Angeles:20240327T172000
DTSTAMP:20240312T221458Z
URL:https://escience.washington.edu/events/uwdss-incubator-1/
SUMMARY:UW Data Science Seminar: Winter Incubator
DESCRIPTION:Please join us for a UW Data Science Seminar on Wednesday\, Mar
 ch 27th from 4:30 to 5:20 p.m. PST. The seminar will feature two projects 
 from Diane Xue and George Brencher\, who participated in our 2024 Data Sci
 ence Incubator program at the eScience Institute.\n2024 Spring Quarter sem
 inars will be held in PAA A118 - campus map\n&nbsp\;\n"Polygenic and Conte
 xtual Determinants of Alzheimer's Disease and Related Dementias"\nAbstract
 : The goal of this project is to model multi-level macro- and meso- enviro
 nmental factors including ambient pollutants\, socioeconomic status\, dens
 ity of physical activity facilities and social engagement destinations. al
 ongside polygenic scores that summarize individual-level genetic risk for 
 AD in order to determine what social and environmental factors remain sign
 ificantly associated with dementia risk and/or cognitive decline after con
 trolling for PRS.  Additionally\, we want to investigate whether effects 
 of social and environmental factors differ for high- and low- genetic risk
  groups. Social\, built\, and physical environmental variables that are as
 sociated with healthy controls who are at high genetic risk can be further
  investigated as population-level solutions for promoting AD resilience. F
 urthermore\, early prediction of AD is key to prevention. The results of t
 he proposal will prepare us to integrate genetic and non-genetic factors f
 or risk prediction\, moving us close to precision treatments.\n\n\n"Charac
 terizing glacial lake outburst flood hazard at a regional scale using fuse
 d InSAR-speckle tracking surface displacement time series"\nAbstract: Usin
 g satellite synthetic aperture radar remote sensing\, we have developed a 
 workflow allowing us to quantify surface changes that can contribute to gl
 acial lake outburst flood (GLOF) likelihood\, including landslide movement
  and moraine dam subsidence. Our approach fuses interferometric synthetic 
 aperture radar (InSAR) and SAR speckle tracking data to accurately capture
  deformation as fast as hundreds of meters per year and as slow as &lt\;1 
 cm per year. During this incubator project\, we developed infrastructure t
 o deploy our workflow on the cloud using Github Actions\, allowing us to q
 uickly and efficiently process large radar datasets and create surface dis
 placement time series. We applied this processing pipeline to measure surf
 ace displacement from 2017-present day with high spatial and temporal reso
 lution for the areas surrounding selected hazardous glacial lakes in Nepal
 \, India\, and China. The resulting multi-year displacement time series al
 low us to detect and track intra- and inter-annual changes of dynamic land
 slide\, permafrost\, and glacial features and precisely quantify rates of 
 moraine dam subsidence\, significantly improving our understanding of GLOF
  hazard and providing a critical missing input to existing risk analysis f
 rameworks. We use radar data acquired in two orientations to decompose sur
 face displacement into vertical and horizontal components\, allowing us to
  understand the contribution of ice melt\, ice flow\, and other processes 
 to ground movement and to quantify how those processes change on seasonal 
 and yearly time scales. These results have implications not only for GLOF 
 hazard\, but also alpine geomorphology and glaciology\, as we learn about 
 processes associated with thinning and retreat of debris-covered glaciers.
 \n\n\n\n\nThe UW Data Science Seminar is an annual lecture series at the U
 niversity of Washington that hosts scholars working across applied areas o
 f 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\, governm
 ental agencies and industry.\n\n&nbsp\;\n\nThe 2023-2024 seminars will be 
 held in person\, and are free and open to the public.\n\n\n\n
LOCATION:Physics/Astronomy Auditorium\, room A118\, Seattle\, WA\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Seattle\, WA\, ;X-APPLE-RAD
 IUS=100;X-TITLE=Physics/Astronomy Auditorium\, room A118:geo:0,0
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DTSTART:20240310T030000
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