2018-04-05 to 2018-04-07

Venice, Italy

Living systems are characterized by the emergence of recurrent dynamical patterns at all scales of magnitude. Self-organized behaviors are observed both in large communities of microscopic components - like neural oscillations and gene network activity - as well as on larger levels - as predator-prey equilibria to name a few. Such regularities are deemed to be universal in the sense they are due to common mechanisms, independent of the details of the system. This belief justifies investigation through quantitative models able to grasp key features while disregarding inessential complications. The attempt of modeling such complex systems leads naturally to consider large families of microscopic identical units. Complexity and self-organization then arise on a macroscopic scale from the dynamics of these minimal components that evolve coupled by interaction terms. Within this scenario, probability theory and statistical mechanics come into play very soon. Aim of the workshop is to bring together scientists with different background - biology, physics and mathematics - interested in stochastic models in ecology and evolutionary biology, to discuss issues and exchange ideas. A partial list of topics includes: stochastic population dynamics, branching processes, interacting particle systems and statistical mechanics models in ecology, robustness and adaptability of ecosystems, resilience and criticality of ecological systems, models and prediction of biodiversity, molecular evolution, and neuroscience.

The style of the workshop will be rather informal. The idea is to have the opportunity to freely share ideas and discuss. Talks will be organised in different thematic sessions, and we will have both colloquia and more technical presentations.

http://www.pd.infn.it/~maritan/veniceworkshop/veniceworkshop.html

2018-05-14 to 2018-05-16

Barcelona, Spain

One of the most frequently used scientific words, is the word “Entropy”. The reason is that it is related to two main scientific domains: physics and information theory. Its origin goes back to the start of physics (thermodynamics), but since Shannon, it has become related to information theory. This conference is an opportunity to bring researchers of these two communities together and create a synergy. The main topics and sessions of the conference cover:

Physics: classical Thermodynamics and Quantum

Statistical physics and Bayesian computation

Geometrical science of information, topology and metrics

Maximum entropy principle and inference

Kullback and Bayes or information theory and Bayesian inference

Entropy in action (applications)

The inter-disciplinary nature of contributions from both theoretical and applied perspectives are very welcome, including papers addressing conceptual and methodological developments, as well as new applications of entropy and information theory.

2018-07-17 to 2018-07-18

Seattle, WA, USA

Methods originally developed in Information Theory have found wide applicability in computational neuroscience. Beyond these original methods there is a need to develop novel tools and approaches that are driven by problems arising in neuroscience.

A number of researchers in computational/systems neuroscience and in information/communication theory are investigating problems of information representation and processing. While the goals are often the same, these researchers bring different perspectives and points of view to a common set of neuroscience problems. Often they participate in different fora and their interaction is limited.

The goal of the workshop is to bring some of these researchers together to discuss challenges posed by neuroscience and to exchange ideas and present their latest work.

The workshop is targeted towards computational and systems neuroscientists with interest in methods of information theory as well as information/communication theorists with interest in neuroscience.

A number of researchers in computational/systems neuroscience and in information/communication theory are investigating problems of information representation and processing. While the goals are often the same, these researchers bring different perspectives and points of view to a common set of neuroscience problems. Often they participate in different fora and their interaction is limited.

The goal of the workshop is to bring some of these researchers together to discuss challenges posed by neuroscience and to exchange ideas and present their latest work.

The workshop is targeted towards computational and systems neuroscientists with interest in methods of information theory as well as information/communication theorists with interest in neuroscience.

2018-07-23 to 2018-07-28

Montreal, QC, Canada

On behalf of the International Association of Mathematical Physics, the International Scientific Committee, and the Local Organizing Committee we invite you to participate in the XIX International Congress on Mathematical Physics to be held in Montreal, Quebec, Canada from July 23 to July 28. The International Congress of Mathematical Physics (ICMP), on its three year cycle, is the most important conference of the International Association of Mathematical Physics. The ICMP 2018 will be a major event, where new results and future challenges will be discussed, illustrating the richness and vitality of Mathematical Physics.

Following a tradition started in London in 2000, the ICMP 2018 will be preceded by the Young Researchers Symposium (July 20 and 21, 2018). Seven satellite meetings are being organized in Banff, Toronto, Montreal, and Perimeter Institute either before or after ICMP 2018.

We hope that you will be able to attend and contribute to the success of the meeting.

We are looking forward to see you in Montreal, Quebec, Canada in 2018.

Vojkan Jaksic

Chair of the Local Organizing Committee

Robert Seiringer, Chair

President of the International Association of Mathematical Physics, and Chair of the International Scientific Committee