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ICMS - International Centre for Mathematical Sciences

This workshop will gather researchers from the intersecting fields of inverse problems, uncertainty quantification, data analytics, machine learning, and related areas to discuss novel theory and new methods for big data challenges. A focused multifaceted research group gathered at one location is an excellent opportunity for established and early career researchers. The aim of this workshop is to foster a diverse, open, and friendly environment to advance this field, open new directions, and to stimulate new collaboration.

Gestion des connaissances, Big Data Computing,    Calcul scientifique et science des données

Isaac Newton Institute for Mathematical Sciences (INI)

Our workshop on Climate Applications of Layering will bring together specialists in theory, numerical modelling, laboratory experiments and observations to address questions including how do layers and interfaces form in various settings, what factors control the strength of the interface between layers, what factors result in the erosion of the interface, and how strong must an interface be to resist being eroded?

Physique numérique,    Météorologie et les changements climatiques

ICMS - International Centre for Mathematical Sciences

The aim of this workshop is to facilitate Knowledge Exchange between academics working in the area of Discrete Geometry/Geometric Rigidity/Graphic Statics and industry professionals who have an interest in the design and analysis of rigid and flexible structures, particularly in the field of structural engineering.

Génie civil, architecture et géotechnique,    Physique numérique

Isaac Newton Institute for Mathematical Sciences

Our workshop on Anti-Diffusion in Multiphase and Active Flows will bring together specialists in theory, numerical simulations, and experiments to address questions including: Can we draw quantitative connections between the interfacial properties of turbulent multi-phase fluids and those of active structured fluids that can form phases with orientational order — both polar and nematic — and are important to biological applications? What are the roles of active forces and interface anchoring in renormalizing the interfacial tension and driving coarsening kinetics? Can we identify generic classes of extended systems that organize in nonequilibrium statistically steady states, with both spatial and temporal structure? How can we systematize the study of the statistical properties of particles and fields in multi-phase and active-fluid turbulence?

Anti-diffusive dynamics: from sub-cellular to astrophysical scales

ICMS - International Centre for Mathematical Sciences

In broad terms, this workshop will be centered on topics that lie in the intersection of mathematics and democracy. There are various strands of activity in this area, some more recent and some classical; for example, modern social choice theory has been around in some form since the 1780s, while rigorous mathematical approaches to districting are a recent development. Despite the differences in history and techniques, topics such as voting, representation, and districting have a common thread – they are motivated by the notion that mathematics can play an important role in making democracy work better for everyone. There is consequently a growing awareness that interweaving the research – and consequently the events featuring it – in these areas is desirable and necessary. This workshop will be guided by this principle.

This workshop aims to be interdisciplinary, bringing together researchers in the fields of computer science, economics, mathematics, and political science. The main themes of the workshop will be · Social Choice (theoretical and computational) · Proportional representation · Districting

Statistique, Théorie des jeux,    

Institute of Mathematics and its Applications (IMA)

Inverse problems are widespread in many varied fields such as medical and satellite imaging, biology, astronomy, geophysics, environmental sciences, computer vision, energy, finance, and defence. These problems are inverse in the sense that they arise from seeking to use a mathematical or physical model “backwards” to indirectly determine a quantity of interest from the effect that this quantity causes on some observed data.

Email.: conferences@ima.org.uk

Inverse problems in mathematical and computational imaging, science, medicine, engineering, Optimisation, statistical, machine learning, Mathematical theory, Deterministic and stochastic computational methods and algorithms.

Réunions de corps professionnels en mathématiques,    Analyse