Conferences and Meetings on Complex Systems, Chaos and Self-Organisation

MRSI – Mathematical Sciences Research Institute, Berkeley

Holomorphic dynamics is a vibrant field of mathematics that has seen profound progress over the past 40 years. It has numerous interconnections to other fields of mathematics and beyond. Our semester will focus on three selected classes of dynamical systems: rational maps (postcritically finite and beyond); transcendental maps; and maps in several complex variables. We will put particular emphasis on the interactions between each these, and on connections with adjacent areas of mathematics.

General Mathematical Research and Multidisciplinary Events,    Courses and Events for Math Students and Early Career Researchers

As 11th edition, we will be running a series of online Zoom « Festival de Theorie Lectures » in the spirit of our long tutorials, accessible and pedagogic. This online series starts on June 1st, 2021 and runs through July 2nd, 2021 at a rate of 3 seminars per week (Tuesdays, Wednesdays and Fridays), at 18:00 (Paris) – 9am (San Diego) – 00:00 (Beijing).

Control, feedback & model reduction

Plasma and Gas-discharge Physics, Nuclear Fusion,    Courses and Events for Physics Students

Lake Como School of Advanced Studies

Applied Mathematics (in general),    Probability and Statistics, Game Theory

Santa Fe Institute (SFI)

Complex Systems Summer School (CSSS) offers an intensive four-week introduction to complex behavior in mathematical, physical, living, and social systems. CSSS brings together graduate students, postdoctoral fellows, and professionals to transcend disciplinary boundaries, take intellectual risks, and ask big questions about complex systems. The residential program comprises a series of lectures and workshops devoted to theory and tools, applications-focused seminars, and discussions with faculty and fellow participants. CSSS participants put what they learn from these didactic sessions into practice through group research projects, conducted throughout the program and often extending into manuscripts and longer-term collaborations. CSSS provides an unparalleled opportunity for early-career researchers to expand their professional networks, produce a novel research product, and gain valuable experience working in transdisciplinary teams.

Sociology,    Complex Networks

Lake Como School of Advanced Studies

Probability and Statistics, Game Theory,    Courses and Events for Math Students and Early Career Researchers

Self-organisation refers to the ability of systems made of a large number of independent agents inter- acting through local rules to generate large-scale spatio-temporal coherent structures. The emergent properties of interacting agents span systems and scales, from cells forming biological tissues, fish schools moving in synchrony, animal migrations across continents, to robot swarms. By bringing together analysts, mathematical biologists and robotics researchers, this workshop will 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.

Complex Networks,    Systems theory, Control and Automation

Analytical Chemistry, Inorganic Chemistry,    Physical (Theoretical) Chemistry, Computational Chemistry

Analytical Chemistry, Inorganic Chemistry,    Physical (Theoretical) Chemistry, Computational Chemistry

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Patterns are abundant in nature, from ripples and dunes that form in sand, to the wrinkling of dried fruits, our fingerprints, or the folds in our brains. How exactly do they form? By the laws of physics, of course, but why should the ripples form in this way, or the wrinkles go in that way, and why do our brains fold at all? Explaining these and other emergent patterns presents a serious and important challenge for mathematicians, physicists, and engineers alike. This workshop will explore questions at the forefront of our understanding of pattern formation, focusing on identifying universal mathematical descriptions.

Two distinct paradigms are currently used to explain patterns. The workshop aims to find links and commonality between them. Many regular patterns can be explained as being the “best” possible configuration in the sense that they optimize some quantity, usually the energy. In other more dynamic cases, patterns emerge as a result of open processes with no obvious optimum energy. Nevertheless, universal mathematical connections do exist between these two approaches, even though they are typically found in quite distinct sciences. This workshop brings together scientists from these different fields to find common explanations.

Institute for Pure and Applied Mathematics (IPAM) at UCLA

This workshop will explore a unique combination of data- and model-driven approach by inviting mathematicians and scientists focusing on neurosciences and beyond. We will have an in-depth discussion of data-driven modeling techniques, dynamics reconstruction and characterization over multiple scales treating the underlying systems as structures in space as well as structures in time. Problems to be discussed include: predicting critical transitions from multivariate time series; extracting interactions between brain areas and the effects of anaesthetics; understanding the effects pathologies in the network connectivity and modeling ways to alleviate them; introducing and studying models that depart from functional connectivity.

Lake Como School of Advanced Studies

Quantum Mechanics and Quantum Information Theory,    Courses and Events for Physics Students

Galileo Galilei Institute

Critical phase transitions are ubiquitous in nature, as they describe both classical statistical systems such as the water/vapor transition, as well as quantum systems such as superfluid transitions. These phase transitions are difficult to study, because the quantum field theories that describe them are generically strongly coupled, and traditional methods like Feynman diagrams do not suffice. Recently, new non-perturbative tools such as the conformal bootstrap and duality have been used to study strongly coupled phase transitions, which complements non-perturbative methods such as lattice Monte Carlo. This workshop will bring together scientists from the neighboring communities of condensed matter and high energy theory to identify new continuous phase transitions that appear in nature, especially those with emergent gauge fields, and develop strategies to solve these systems and guide ongoing experiments.

Critical phase transitions * Numerical conformal bootstrap * Lattice methods * Dualities * Gauge theories in 2+1 dimensions

This is the meeting of the SIAM Activity Group on Dynamical Systems.