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BEGIN:VEVENT
DTSTAMP:20210927T082012Z
DTSTART:20210929T120000Z
DTEND:20210929T130000Z
SUMMARY:Kit Yates -- Hybrid Frameworks for modelling reaction-diffusion p
 rocesses
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}bjn-ku2drpt
 j-vg7yla
DESCRIPTION:(via Zoom)\nJoin us for this seminar by Kit Yates (Bath) as p
 art of the North West Seminar Series in Mathematical Biology and Data Sc
 iences. Details of the full series can be found here https://www.cms.liv
 jm.ac.uk/APMSeminar/\n\nPlease contact carl.whitfield@manchester.ac.uk o
 r I.Siekmann@ljmu.ac.uk for the zoom link\, or sign up to the mailing li
 st.\n\nAbstract: Spatial reaction-diffusion models have been employed to
  describe many emergent phenomena in biological systems. The modelling t
 echnique for reaction-diffusion systems that has predominated due to its
  analytical tractability and ease of simulation has been the use of part
 ial differential equations (PDEs). However\, due to recent advances in c
 omputational power\, the simulation\, and therefore postulation\, of com
 putationally intensive individual-based models has become a popular way 
 to investigate the effects of noise in reaction-diffusion systems.\nIn a
  wide variety of biological situations\, computationally-intensive\, hig
 h-resolution models are relevant only in particular regions of the spati
 al domain. In other regions\, coarser representations may suffice to cap
 ture the important dynamics. Such conditions necessitate the development
  of hybrid models in which some areas of the domain are modelled using a
  coarse-grained representation and others using a more fine-grained repr
 esentation.\nIn this talk I will discuss recent work from my group on co
 nnecting coarse and fine representations of reaction-diffusion phenomena
 . The models to be coupled will include both on and off-lattice individu
 al-based representations of diffusion with and without volume exclusion 
 as well as macroscopic partial differential equations. In each scenario 
 we will demonstrate good agreement between our hybrid models and the ful
 l individual-based representation whilst achieving significant computati
 onal savings.\n\nTo subscribe to the mailing list for this event series\
 , please send an e-mail with the phrase “subscribe math-lifesci-seminar”
  in the message body to listserv@listserv.manchester.ac.uk
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