SPL
3 July 2023 to 20 December 2023
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Understanding biological physics in detail requires one to not only explore the complex, multiscale structures of biological materials but also to understand their emergent properties that arise out of their being in a nonequilibrium steady state. The cytoskeleton, for example, is a complex assemblage of filaments, their bundles, and various proteins which interact with them. But the mechanics and biological utility of this structure are not determined merely by their structural elements, but by their nonequilibrium state, characterized by endogenous motor activity and the polymerization and depolymerization of the constituent filaments. Consequently, recent developments in the areas of nonequilibrium statistical mechanics and thermodynamics are of critical importance to the physical foundations of living matter, but these ideas remain incomplete and, in most cases, have not penetrated into the biological physics and biology communities.
The proposed programme aims to bring together researchers in mathematics and statistical physics specializing in the fundamental properties of fluctuations and response in nonequilibrium states with researchers in biological physics. We expect the work to enable new collaborations and cross-fertilization of ideas. In short, we expect that understanding the living world will provide challenges that will stimulate new fundamental thinking in statistical physics while current research in this field will help to structure our ever-expanding knowledge of living matter as a nonequilibrium dynamical system. One example of how the living world can introduce new ideas into statistical physics is found in the studies of a large class of nonequilibrium steady-states that are under some form of homeostatic control. In these systems, the energy input maintaining the nonequilibrium state itself depends on the current (or recent) state of the system. While there has been great progress in understanding the statistical physics of driven systems, this new feature of feedback-based control, which is endemic to biology, has received comparatively little attention.
We believe that the time is ripe for a programme to bring together biologists and biophysicists at the cutting edge of these investigations with physicists and mathematicians studying nonequilibrium statistical physics. The potential for collaborative breakthrough is strong: not only are more abstract mathematical ideas from statistical physics necessary to interpret these data, but also these experiments will point out new areas for theoretical research in a variety of tightly regulated nonequilibrium systems.
3 July 2023 to 7 July 2023
4 September 2023 to 8 September 2023
9 October 2023 to 13 October 2023
13 November 2023 to 17 November 2023
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