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SUMMARY:Using Critical Slowing Down to suggest statistical indicators of d
 isease emergence and elimination - Louise Dyson\, University of Warwick
DTSTART:20230307T130000Z
DTEND:20230307T140000Z
UID:TALK193468@talks.cam.ac.uk
CONTACT:Camille Scalliet
DESCRIPTION: The theory of critical slowing down observes that as a steady
  state changes stability\, its eigenvalue passes through zero and so pertu
 rbations away from the steady state recover increasingly slowly. This obse
 rvation suggests that such transitions may be observed in the statistics o
 f fluctuations in noisy timeseries data\, with potential applications in m
 any fields including epidemiology\, ecology and climate change. Finding an
 d applying robust statistical indicators that work in practice has proven 
 difficult\, however. We investigate such practicalities\, and suggest usin
 g an equation free method to visually inspect the potential surface realis
 ed by stochastic simulations.
LOCATION:Center for Mathematical Sciences\, Lecture room MR4
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