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PRODID:adamgibbons/ics
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BEGIN:VEVENT
UID:WK8bjvWNxGxgrq4U4cyVz
SUMMARY:Uncertainty Quantification for Mathematical Biology
DTSTAMP:20260330T195000Z
DTSTART;VALUE=DATE:20250505
DTEND;VALUE=DATE:20250509
DESCRIPTION:This workshop capitalizes on the significant potential for mutu
	al advancement in uncertainty quantification (UQ) and mathematical biology
	 through cross-disciplinary collaboration. Bringing together UQ practition
	ers and mathematical biologists will allow UQ methodologies to be applied 
	to explore and improve biological models through computational methods. Co
	nversely\, the unique challenges of modeling uncertainty in biological sys
	tems can inspire the development of novel UQ techniques. By fostering rese
	arch collaborations at the intersection of computational and mathematical 
	biology\, UQ algorithms\, and data-driven learning\, this workshop aims to
	 galvanize advancements across these fields.
URL:https://icerm.brown.edu/program/topical_workshop/tw-25-uqmb
LOCATION:Institute for Computational and Experimental Research in Mathemati
	cs\, Brown University
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