Mathematical Methods for the Study of Self-organization in the Biological Sciences

Postponed to 2022 due to Covid-19

Thematic Programme cancelled / postponed due to corona virus to 2022.

DESCRIPTION

Self-organization is pervasive in biology as living organisms are by essence systems that have self-assembled and self-organized in the course of their development. Self-organization refers to the ability of systems made of a large number of independent agents interacting through rather simple and local rules to generate large scale spatio-temporal coherent structures with typical dimensions orders of magnitude larger than those associated with each individual agent. Examples of self-organisation are natural network formation (like capillaries and leaf venation), collective dynamics (like flocking, herding and pedestrian dynamics), opinion dynamics, landscape formation, tissue and organ formation... This programme brings together mathematicians and biologists to provide a broad overview of the various self-organization mechanisms that prevail at the various scales and the mathematical models by which they can be described or even explained. 

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  • Sara Merino-Aceituno (U Vienna) — Organizer
At a glance
Type:
Thematic Programme
When:
Nov. 16, 2020 -- Dec. 11, 2020
Where:
ESI Boltzmann Lecture Hall
Organizer(s):
Pierre Degond (Imperial College, London)
Marie Doumic (Sorbonne U, Paris)
Anna Kicheva (ISTA, Klosterneuburg)
Sara Merino-Aceituno (U Vienna)
Christian Schmeiser (U Vienna)
More:
Website