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X-FROM-URL:https://eom.sdu.dk/events/ical/3b99a5f8-9cb5-4204-985a-402bd2ab
 1109
X-WR-CALNAME:Journal Club: Information Geometry in Epidemiology and Popula
 tion Dynamics
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TZID:Europe/Copenhagen
X-LIC-LOCATION:Europe/Copenhagen
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DTSTAMP:20260513T184554Z
DTSTART:20261028T030000
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DESCRIPTION:[b]Speaker:[/b] Stefan Hohenegger\, Senior Researcher\n[b]Abst
 ract:[/b] In this talk I introduce basic concepts in information theory a
 nd apply them to epidemiology and population dynamics: I start by reformu
 lating simple evolution models in terms of probability distributions. Thi
 s allows me to construct the Fisher information\, which I interpret as th
 e metric of a one-dimensional differentiable manifold. For systems that c
 an be effectively described by a single degree of freedom\, I show that t
 heir time evolution is fully captured by this metric. In this way\, I ext
 ract universal features across seemingly very different models. This furt
 her motivates a reorganisation of the dynamics around zeroes of the Fishe
 r metric\, corresponding to extrema of the probability distribution. Conc
 retely\, I propose a simple form of the metric for which I analytically s
 olve the dynamics of the system that well approximates the time evolution
  of various established models in epidemiology and population dynamics\, 
 thus providing a unifying framework.\n[b]Location:[/b] [url=https://clien
 ts.mapsindoors.com/sdu/573f26e4bc1f571b08094312/details/19fef689994645869
 65ec676]The DIAS Meetingroom Syd (V22-503a-2)[/url]\nYou can also [url=ht
 tps://syddanskuni.zoom.us/j/68803047878#success]join via Zoom[/url] (pass
 code: 060379).\n\nThe event is open to all.
DTEND:20240419T110000Z
DTSTAMP:20260513T184554Z
DTSTART:20240419T093000Z
LOCATION:Syddansk Universitet\, Fioniavej 34\, 5230\, Odense M
SEQUENCE:0
SUMMARY:Journal Club: Information Geometry in Epidemiology and Population 
 Dynamics
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