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UID:20260624T082125EDT-6425KWviVi@132.216.98.100
DTSTAMP:20260624T122125Z
DESCRIPTION:Title: A combinatorial approach to computable global dynamics f
 or biological networks\n	\n	Abstract:\n	Modeling the dynamics of biological n
 etworks requires understanding system parameters. Typically\, these parame
 ters are high dimensional or difficult to measure which complicates this t
 ask. To further complicate matters\, collecting data in real world example
 s may be expensive so often data is also sparse.\n	\n	In this talk we will p
 resent a generally applicable combinatorial approach to studying dynamics 
 which aims to overcome some of these issues. We will illustrate the method
  with some examples and describe how this approach has revealed surprising
  connections between dynamical systems\, algebraic geometry\, and order th
 eory.\n\n\n	 \n
DTSTART:20191028T200000Z
DTEND:20191028T210000Z
LOCATION:Room 1104\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue
  Sherbrooke Ouest
SUMMARY:Shane Kepley (Rutgers University)
URL:/mathstat/channels/event/shane-kepley-rutgers-univ
 ersity-301877
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