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

TP Rescheduled for 2022 due to Covid-19

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

New Dates: November 14 - December 9, 2022

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. 

Please visit the official website for more information.

Coming soon.

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At a glance
Thematic Programme
Nov. 16, 2020 — Dec. 11, 2020
ESI Boltzmann Lecture Hall
Pierre Degond (IMT)
Marie Doumic (Sorbonne U, Paris)
Anna Kicheva (ISTA, Klosterneuburg)
Sara Merino-Aceituno (U of Vienna)
Christian Schmeiser (U of Vienna)