2016-04-01 to 2016-04-02

Clare College, Cambridge, UK

The objective of this Info-Metrics Institute workshop is to study new methods of statistical inference based on information-theoretic methods.

Info-metric and Information-Theoretic ideas are being applied in variety of disciplines, such as biology, ecology, economics, finance and physics (for examples see Fall 2014 conference celebrating the fifth anniversary of the Institute).

The Spring 2016 workshop focuses on the use of info-metric and information-theoretic ideas in the development and analysis of statistical models. The aims of the workshop are to provide a forum for the dissemination of new research in this area and also to stimulate discussion between researchers across fields.

2016-06-06 to 2016-06-10

Barcelona, Spain

The title of this forthcoming edition of the Sitges Conference will be "Nonequilibrium phenomena in confined systems". The Conference will take place in Barcelona from the 6th until the 10th of June 2016. We will have the participation of prominent researchers in the areas of physics, chemistry and biology working on confined systems in topics like: Diffusion and entropic transport in confined systems; Ion and polymer translocation; Phase transitions and chemical reactions in confined media; Forces induced by fluctuations in confined systems and Casimir effect; Confined active mater; Macromolecular crowding; Energy conversion in confinement.

2016-07-10 to 2016-07-15

Ghent, Belgium

For over 35 years, the MaxEnt workshops have explored the use of Bayesian and Maximum Entropy methods in scientific and engineering applications. The workshop invites contributions on all aspects of probabilistic inference, including novel techniques and applications, and work that sheds new light on the foundations of inference. In previous workshops, areas of application have included astronomy and astrophysics, chemistry, communications theory, cosmology, climate studies, earth science, fluid mechanics, genetics, geophysics, machine learning, material science, medical imaging, nanoscience, source separation, thermodynamics (equilibrium and non-equilibrium), particle physics, plasma physics, quantum mechanics, robotics and social sciences. Bayesian computational techniques such as Markov chain Monte Carlo sampling have been regular topics, as are approximate inferential methods. Foundational issues involving probability theory and information theory, and the novel application of inference to illuminate the foundations of physical theories, have also been of keen interest.