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UID:242@escience.washington.edu
DTSTART;TZID=America/Los_Angeles:20241112T163000
DTEND;TZID=America/Los_Angeles:20241112T172000
DTSTAMP:20241120T205151Z
URL:https://escience.washington.edu/events/uw-data-science-seminar-adam-vi
 sokay/
SUMMARY:UW Data Science Seminar: Adam Visokay
DESCRIPTION:\n\nPlease join us for a UW Data Science Seminar on Tuesday\, N
 ovember 12th from 4:30 to 5:20 p.m. PT. The seminar will feature Adam Viso
 kay\, PhD Student in the Department of Sociology at the University of Wash
 ington.\n\nThe seminar will be held in the Physics/Astronomy Auditorium (P
 AA)\, Room A118 - campus map.\n\n\n"Inference on Predicted Data: Examples
  from Verbal Autopsies and the BMI "\nAbstract: As AI and ML tools become
  more accessible\, and scientists face new obstacles to data collection (e
 .g. rising costs\, declining survey response rates)\, researchers increasi
 ngly use relatively cheap predictions from pre-trained algorithms in place
  of more expensive "ground truth" data. Standard tools for inference can m
 isrepresent the association between independent variables and the outcome 
 of interest when the true\, unobserved outcome is replaced by a predicted 
 value. In this talk\, I present an overview detailing how to perform valid
  inference when working with predicted data. I will share two examples of 
 this method in practice - one in the context of global public health worki
 ng with Verbal Autopsy data\, and the other in the context of medicine\, w
 orking with BMI data.\nBio: Adam is a PhD student at the University of Was
 hington\, advised by Professor Tyler McCormick. They are also an affiliate
  student at the Max Planck Institute for Demographic Research. Adam's rese
 arch explores how to leverage artificial intelligence and machine learning
  to study social phenomena\, typically motivated by questions in public h
 ealth\, economics\, and sociology. Adam is particularly interested in imp
 roving the interpretability and transparency of language models and how to
  perform valid statistical inference using predictions.\n\nThe UW Data Sci
 ence 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 methodologica
 l areas in data science\, such as computer science\, applied math and stat
 istics. Our presenters come from all domain fields and include occasional 
 external speakers from regional partners\, governmental agencies and indus
 try.\n\n&nbsp\;\n\nThe 2024-2025 seminars will be held in person\, and are
  free and open to the public.
ATTACH;FMTTYPE=image/jpeg:https://escience.washington.edu/wp-content/uploa
 ds/2024/11/visokay_portrait-1.jpg
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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