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PRODID:-//University of Utah Math Department//Data-driven dynamical systems discovery: Embracing uncertainty.//EN
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X-WR-CALNAME:Data-driven dynamical systems discovery: Embracing uncertainty.
X-WR-CALDESC:Data-driven dynamical systems discovery: Embracing uncertainty. at University of Utah Mathematics Department
X-WR-TIMEZONE:America/Denver
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UID:20260219T160000-niall-m-mangan@math.utah.edu
DTSTART;TZID=America/Denver:20260219T160000
DTEND;TZID=America/Denver:20260219T170000
DTSTAMP:20260922T150857Z
SUMMARY:Data-driven dynamical systems discovery: Embracing uncertainty.
DESCRIPTION:Speaker: Niall M Mangan\, Northwestern University\n\nBuilding models for biological, chemical, and physical systems has traditionally relied on domain-specific intuition about which interactions and features most strongly influence a system. Our group balances traditional modeling with data-driven methods from machine learning, statistics, and …

LOCATION:LCB 215

URL:https://www.math.utah.edu/research/colloquia/2026-02-19-niall-m-mangan/
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