Courses and Events for Math Students and Early Career Researchers

The Mathematics Academy is a unique opportunity for students interested in examining mathematical concepts rarely offered at the high school level. This rigorous, proof-oriented program will fuse lectures, problem sessions, demonstrations, and exploratory research to engage students.

Discrete Mathematics, Algebra and Number Theory, Geometry and Topology

Algebra,    Geometry and Topology

A group is a mathematical object encoding natural notions of symmetries and transformations. Geometric group theory is an area in mathematics devoted to the study of discrete groups by exploring connections between algebraic properties of such groups and topological and geometric properties of spaces on which these groups act.

As a distinct area, geometric group theory is relatively new, and became an identifiable branch of mathematics in the early 1990's. Geometric group theory closely interacts with low-dimensional topology, hyperbolic geometry, Lie groups and homogeneous spaces, algebraic topology, computational group theory, and differential geometry. There are also substantial connections with complexity theory, mathematical logic, dynamical systems, probability theory, K-theory, and other areas of mathematics.

This is an IHES Summer School, organized in partnership with the Clay Mathematical Institute, and the support of the Société Générale, the FMJH, the IUF, the ANR GAMME, the project Jeunes Géomètres and the ERC.

Graph Theory and Combinatorics,    Applied Maths: Complex Networks

Centre International de Rencontres Mathématiques (CIRM)

The subject of Large Deviations measures the probabilities of atypically large fluctuations of random process from their means. On the other hand, small ball probabilities measure the atypically small fluctuations from the mean. While there is an extensive literature on large deviations, small ball probabilities have not been well understood. There has been quite some work on Gaussian processes but far less for general processes. We are interested in understanding the small ball problem in the setting of the stochastic heat equation (SHE); this has not been explored before. Our results would be a first step in understanding behaviour of the paths of the SHE at a fixed time t under the influence of a random field. Examples of random fields are obstacles or a penalty for paths (at fixed time) to self intersect.

RESEARCH IN PAIRS

Lake Como School of Advanced Studies

The aim of the Bocconi Summer School in Advanced Statistics and Probability is to establish a track of high level courses on advanced and cutting-edge topics in Statistics and Probability. The Summer School offers lectures delivered by internationally leading scholars on the specific designated topic, and supervised tutorials.

In the past eight years, a number of longstanding open problems in combinatorics were resolved using a new set of algebraic techniques. In this summer school, we will discuss these new techniques as well as some exciting recent developments.

Centre International de Rencontres Mathématiques (CIRM)

The CEMRACS is a scientific event of the SMAI (the French Society of Applied and Industrial Mathematics). The concept was initiated in 1996 by Yvon Maday and Frédéric Coquel and takes place every year at CIRM in Luminy (Marseille, France) during 6 weeks from mid-july. The goal of this event is to bring together scientists from both the academic and industrial communities to work and discuss on focused topics.

SMAI SUMMER SCHOOL – CEMRACS

Applied Mathematics (in general),    Geophysics and Geology

The Fields Institute

Living systems are typical examples of dynamical systems with many interrelated parts or subsystems, from small-scale cellular relationships to large-scale population relationships. Nonlinear dynamics arise when the behaviour of one subsystem, with its own dynamics, becomes the input for another subsystem, imposing certain constraints on its dynamics. Mathematics, physics, and biological sciences have contributed important theoretical developments to the understanding of how nonlinear dynamics explain behaviour in a wide range of disciplines in natural sciences, social sciences, and life sciences, based on common principles arising from differential equations. Nonlinear dynamics underlie the developmental trajectory of living organisms; the spread of information in neural networks and disease in populations; and the prediction of evolving ecosystems in changing environments. While different challenges arise in each research area, the required quantitative models are shared across areas. These models, accompanied by statistical and computational tools, provide young scientists with a platform to understand the dynamics of their systems and to guide new experiments. As a result, the fields of mathematical and computational modeling have had significant impact across the natural and life sciences, including neuroscience, physiology, immunology, computer science, ecology, and evolutionary biology.

Applied Mathematics (in general),    Applied Maths: Dynamic Systems, Control and Automation

Algebra,    Number Theory, Arithmetic

This summer school will provide opportunities to collect experience with modern data analysis, in particular Big Data analytics. This includes subjects to mine data in the Internet of Things. Our main and special guest lectures, which are recognized authorities in such a field, will address such a scope focusing on algorithms, computational models and practical results.

Applied Maths: Dynamic Systems, Control and Automation,    Internet of Things (IoT) and Sensor Networks

The Young Topologists Meeting is an annual event for graduate students, recent PhDs and other junior researchers in topology. Previous editions were organised by the University of Copenhagen, jointly by Stockholm University and the Royal Institute of Technology, and the EPFL. The Young Topologists Meeting 2019 will take place July 22-26 at the EPFL.

This is the third school on Advances in Complex Systems. The first edition of the school took place in the summer of 2015 and the second edition in the summer of 2017. The scope of the school series is to present recent advances in complex systems discussing applications of statistical mechanics of non-equilibrium and disordered systems, theories of complex networks and other stochastic systems to different topics in materials science, social sciences, biology and biomedical research. The broad choice of interdisciplinary topics is designed to expose the students to some of the multiple facets of complex systems theory. The 2019 edition of the school will focus on inderdisciplinary and quantitative approaches that span from ecology to economics. The school is open to 40 graduate students and postdoctoral fellows working in complex systems and related fields.

Applied Maths: Economics and Finance,    Complex Systems, Chaos and Self-Organisation

The third summer school of this series will focus on methods for analyzing multimedia data. We have invited outstanding speakers from different disciplines that will teach different methods and show how multimedia data can be used to answer interesting research questions that are relevant for the social sciences and gain insights into cultural phenomena like social orientation and its expression for instance in urban spaces, images and art. Students will conduct small projects in which they will apply the newly learned methods and will be supervised by the invited speakers.

computer vision methods, spatial and temporal analysis of urban spaces via multimedia content analysis, spreading and mutation models for multimedia content

Applied Maths: Neural Networks and Artificial Intelligence, Machine Learning,    Multimedia, Computer Graphics and Visualization

The purpose of the workshop is to introduce graduate students to fundamental results on the Navier-Stokes and the Euler equations, with special emphasis on the solvability of its initial value problem with rough initial data as well as the large time behavior of a solution. These topics have long research history. However, recent studies clarify the problems from a broad point of view, not only from analysis but also from detailed studies of orbit of the flow.

Applied Mathematics (in general),    Computational Physics and Numerical Simulation

The Second International Summer Institute on Network Physiology (ISINP), to be held 28 July – 02 August 2019 in Como, Italy, will focus on this emerging field. It will lay the foundation of a new conceptual framework to study network interactions among diverse organ systems and sub-systems as a hallmark of physiologic state and function.

Applied Maths: Complex Networks,    Systems Biology and Computational Biology

The Fields Institute

The Fields Institute

Lehrstuhl für Mathematik VII (Numerical Mathematics and Optimization), Universität Würzburg

The focus of this summer school is on recent developments in cryptography, graph theory, and their intersection. Topics are the distribution of products of two distinct prime numbers (as they are used for keys in RSA), an isogeny-based elliptic curve cryptosystem (as a candidate for post-quantum cryptography), and aspects of algebraic graph theory (e.g., the spectrum of graphs, expanders and Ramanujan graphs and their role in certain post-quantum cryptosystems). The Summer School is supported by the European Mathematical Society.

Graph Theory and Combinatorics,    Applied Maths: Cryptography, Blockchain and Information Security

The workshop is intended for graduate students with some postdocs, and will be led by Diane Maclagan and Jeff Giansiracusa. More information can be found on the workshop webpage.

The Summer Northwestern Analysis Program (SNAP 2019) is a three-week summer school in Analysis to be held at Northwestern University as part of the activities of the NSF RTG grant “Analysis on Manifolds”. The summer school is organised in partnership with the Clay Mathematics Institute. It will feature three weeks of mini-courses of increasing level of specialization, aimed at undergraduate and graduate students and recent PhDs, in various topics in analysis. The theme of SNAP 2019 is Semiclassical Analysis.

Bandung Institute of Technology

The Mid Year School on Analysis, Geometry, and Applications, abbreviated MYSAGA, is a recent initiative from Analysis and Geometry Group, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung (ITB). The school is held for master and doctoral students in mathematics, but newly graduated mathematics doctors are also welcome. The lectures will be delivered by three experts in the field, two of which are coming from overseas.

Analysis,    Geometry and Topology

Lake Como School of Advanced Studies

This school aims to introduce PhD students (and early career scientists) in Physics, Mathematics and Computer Science to various aspects of the spectral theory of linear and nonlinear operators on networks. During the school we will explore the intricate relations between graphs models in Physics, Mathematics and Computer Science and point out similarities between those apparently different research directions which are all combined in the interdisciplinary area of networks.

Courses and Events for Physics Students,    Applied Maths: Complex Networks

The MBI Capstone Conference is a student-centered conference featuring talks and posters by students doing research in the mathematical biosciences, keynote talks by prominent mathematical biologists, a graduate studies recruitment event, panels on mathematical biosciences fields of research and career opportunities, and a conference social event.

Applied Mathematics (in general),    Systems Biology and Computational Biology

The European Summer School in Logic, Language and Information (ESSLLI) is an annual event under the auspices of the Association for Logic, Language and Information (FoLLI) and brings together logicians, linguists, computer scientists, and philosophers to study language, logic, and information, and their interconnections. Proposals for courses and workshops at ESSLLI 2019 are invited in all areas of Logic, Linguistics and Computing Sciences. Cross-disciplinary and innovative topics are particularly encouraged. Each course and workshop will consist of five 90 minute sessions, offered daily (Monday-Friday) in a single week. Proposals for two-week courses should be structured and submitted as two independent one-week courses. Each proposal should fall under one of the following categories: 'Foundational Courses', 'Introductory Courses', 'Advanced Courses' or 'Workshops'.

Swiss Association of Actuaries

We are very proud to announce the 32nd International Summer School (2019) of the Swiss Association of Actuaries that will be held from August 12th to 16th 2019 at the University of Lausanne. The theme of the week will be: “Insurance Data Science: Use and Value of Unusual Data.”

The Fields Institute

We will explore various theoretical and practical aspects of relational data representation and mining. The format of the course will be a mix of lectures and demonstrations of various techniques over relational datasets using Python, Julia and Jupyter Notebooks.

Modeling and Simulation,    Applied Maths: Complex Networks

Bernoulli Center (CIB)

The summer school will provide courses from experts in the areas of the scope of the program ''Dynamics with Structures''. It is intended to provide surveys of modern directions in the theory of dynamical systems on the level of graduate students and junior researchers. The goal is to propagate modern directions of research to younger scientists and show the variety of methods and results obtained by imposing different structures on a dynamical system. It will be a unique possibility to give an insight on all three main events of the semester. The topics will reach from Conservative Dynamics and Hamiltonian Systems over Algebraic and Number Theoretic Systems and Methods, Analytic Dynamical Systems and Thermodynamic Formalism. Besides the lectures the audience is encouraged to have active discussions with the lecturers and other experts.

Centre International de Rencontres Mathématiques (CIRM)

The aim of the summer school is to gather young researchers arising from a quite wide mathematical area in order to build knowledge in two complementary fundamental theories. The first one is Bruhat-Tits theory which deals with the Euclidean buildings and integral models of reductive algebraic groups defined over a local field, the second one is the theory of Affine Grassmannians which are geometric objects arising from Representation Theory.

Algebra,    Group Theory

In the last decade, network theory has been revealed to be a perfect instrument to model the structure of complex systems and the dynamical process they are involved into. The wide variety of applications to social sciences, technological networks, biology, transportation and economic, to cite just only some of them, showed that network theory is suitable to provide new insights into many problems. Given the success of the Fifth Edition in 2018 of the Mediterranean School of Complex Networks, we call for applications to the Sixth Edition in 2019.

Lake Como School of Advanced Studies

This is a School of “model-guided Data Science”, organized as an intensive training week to familiarize PhD students and postdocs with interdisciplinary and quantitative interests (particularly from math, physics, engineering) to the job and tools of Data Scientist. Through mini-courses and hands-on work on concrete examples, the students will acquire specific skills that characterize modern data analysis. At the same time, they will be stimulated to make the most of the scientific skills and scientific and critical thinking already acquired over their education.

Courses and Events for Physics Students,    Training in Computer Science, Courses

The purpose of this two weeks meeting is to bring together people working on rational and integral points in a broad sense. Topics include but are not restricted to connections to analysis, analytic number theory, arithmetic dynamics and diophantine approximation. The first week will be a summer school consisting of five mini-courses aimed at PhD students and postdocs. Advanced Master students are also welcome. The second week will be a traditional conference.

Summer School (Sept. 2-6, 2019)

Mathematical Sciences Research Institute (MSRI), Berkeley

This workshop will provide a comprehensive introduction to the field for postdocs and graduate students as well as specialists outside the field, building up from standard facts about the Fourier transform, distributions and basic functional analysis.

The aim of the conference is to allow PhD students and young researchers to share their knowledge and discuss topics in Algebra. The number of admissible participants is limited. Requests for a financial support to cover accommodation expenses must be indicated in the application form and will be evaluated by the organizers.

The School of Complex Systems and Big Data: Ethical Implications for Self-Organized Cognition aims at discussing ethical and epistemological implications of the use of Big Data Analytics for self-organized cognition and action, from the perspective of the Complex Systems paradigm.

Information & Knowledge Management, Big Data Computing,    Applied Maths: Dynamic Systems, Control and Automation

Centre International de Rencontres Mathématiques (CIRM)

This conference is part of the ”Semaines CIRM-SMF” program and is dedicated to the mathematical analysis of non homogeneous models of fluid mechanics.

RESEARCH SCHOOL (CIRM-SMF)

Applied Mathematics (in general),    Thermodynamics, Fluid Dynamics and Statistical Physics

Institute for Pure and Applied Mathematics (IPAM), UCLA

Part of the Long Program Machine Learning for Physics and the Physics of Learning.

The workshop will examine how to plan experiments in order to use information in a cost-optimal way. It will also include the application of these modalities to training complex models, such as deep architectures, and the transfer of these ideas to the generation of physically-relevant complex structures such as chemical structures, molecular structures, scalar or vector fields in fluid dynamics or electrodynamics, proposal steps for Markov chain Monte Carlo of physical systems etc.

Bernoulli Center (CIB)

This workshop brings together dynamicists who use techniques from, and are motivated by, combinatorics, geometry, and number theory. The topics cover a broad swath of dynamics, including ergodic theory, homogeneous dynamics, symbolic dynamics, Teichmuller theory, and billiards, and the aim of the workshop is to highlight the common features across these subjects.

Part of the Semester : Dynamics with Structures

Graph Theory and Combinatorics,    Applied Maths: Dynamic Systems, Control and Automation

Institute for Pure and Applied Mathematics (IPAM), UCLA

Part of the Long Program Machine Learning for Physics and the Physics of Learning.

This workshop will showcase how to employ mathematical aspects of statistical / information theoretic approaches in ML for the discovery of physical laws from data. Offering statistical guarantees along with the learned models is critical in physics and in areas such as aeronautics, climate science, chemistry, biology, and robotics. We will consider model selection, robust statistics, model-free and adaptive learning, and model validation in the context of both static and dynamic models, such as equations of motion.

Mathematical Physics,    High Energy Physics, Particles and Fields

Department of Mathematics, Purdue University

Each Fall Alliance Scholars, together with their Alliance Mentors, are invited to the Field of Dreams Conference. The Field of Dreams Conference introduces potential graduate students to graduate programs in the mathematical sciences at Alliance schools as well as professional opportunities in these fields. Scholars spend time with faculty mentors from the Alliance schools, get advice on graduate school applications, and attend seminars on graduate school preparation and expectations as well as career seminars.

These are a series of combinatorial workshops, held once per semester, each on a Saturday. The series began with its first meeting in spring 2010. They rotate among the universities in and around the Research Triangle. Participants come from numerous colleges and universities within a few hours drive, and some from even farther away. These workshops are funded by the National Science Foundation, in particular enabling us to bring in four exciting speakers to give one hour talks each time as well as funding travel expenses for participants.

Institute for Pure and Applied Mathematics (IPAM), UCLA

Part of the Long Program Machine Learning for Physics and the Physics of Learning.

In this workshop we will explore how to use physical intuition and ideas to design new classes of machine learning (ML) algorithms. Physics-inspired sampling algorithms could be used to train ML structures or sample the hyper-parameter space (e.g. deep Neural Networks). Additionally, physics-based models such as Ising/Potts models or energy-based models have influenced ML inference frameworks such as Markov Random Fields and Restricted Boltzmann Machines, and we want to continue the discussion to facilitate this innovation transfer. Finally, physical insight could be used to enhance learning in the situation of scarce data by enforcing smoothness, differentiability or other physical properties relevant to a given problem.

The Capability Systems Centre at UNSW Canberra will host the Summer School on Model-Based Decision Analysis the week before MODSIM 2019.

Bernoulli Center (CIB)

Part of the Semester : Dynamics with Structures

Algebra,    Geometry and Topology

Banaras Hindu University Varanasi, University of Strasbourg

Geometry and Topology,    Algebra

Centre International de Rencontres Mathématiques (CIRM)

Representation theory is the study of the basic symmetries of mathematics and physics. Recently, it has known some spectacular developments, thanks to the introduction of new technics such as categorical representations or parity sheaves. The continued development of the subject has motivated a trimester in representation theory at the IHP that will take place in 2020 from January to March. This program will begin with an introductory conference. It will consist of 6 mini-courses on the main topics (categorifications and quantum groups, quiver varieties, character varieties, geometric representation theory). It is devoted to younger researchers, but also to senior ones in order to promote the discussions between young mathematicians and seniors.

Algebra,    Mathematical Physics

The Fields Institute

Two intensive mini-courses will be given over one week by experts on polyhedral products and toric topology. These are designed to give graduate students and early career researchers in nearby fields a better understanding of each subject by presenting multiple viewpoints from different lecturers, thus enabling the participants to better engage in the subsequent workshops and seminars.

The workshop intentionally focusses on only four main speakers giving a 4-hour mini-course each. Their lectures are supposed to present a panoramic overview over some important developments in their field with the goal to enable the participants to actively participate in the new directions of research emerging from these developments. Special time slots will be reserved for active discussions of the participants under the moderation of the main speakers.

Institute for Pure and Applied Mathematics (IPAM), UCLA

Applications that involve HJ PDEs in a high-dimensional (and possibly infinite-dimensional) setting lead to challenging computational problems. Although a large literature is available on HJ PDEs, many challenges remain both from a mathematical and computational point of view. The program will open with one week of tutorials, presented by some of the main organizers. These tutorials will provide an introduction to the major themes of the entire program and connect the themes of the four workshops. The goal is to introduce a common language and build a foundation for the participants of this program who have diverse scientific backgrounds. During the weeks between workshops, participants in residence will develop collaborations; we expect fruitful discussions especially between domain scientists, algorithm developers and pure and applied mathematicians.

Calculus, Differential Equations and Integration,    Applied Mathematics (in general)

Bernoulli Center (CIB)

Functional data such as space curves, images, and surfaces are seldom sensed directly; curves are often noisily and discretely sampled, images are subject to blurring and deformation, and surfaces are often obtained via indirect linear measurements. Understanding the generation of the observations then requires modelling the act of acquisition, and solving an inverse problem in order to arrive at statistical inferences. This leads to a host of new research questions, from identifiability to trade-offs between statistical optimality and computational feasibility, which also make contact with signal processing and numerical analysis.

Part of the Semester : Functional Data Analysis

Institute for Pure and Applied Mathematics (IPAM), UCLA

Ideas to be explored in the workshop include different computational methodologies for efficient real-time solution of nonlinear HJ equations in reachability, optimal control, and differential games. Ideas such as efficient reduced-complexity computation of optimal control solutions, exploiting structure to decompose the solution space to scalable computations and reduced-complexity feedback structures for efficient implementation of optimal controllers based on available data will be considered.

Calculus, Differential Equations and Integration,    Applied Mathematics (in general)

Centre International de Rencontres Mathématiques (CIRM)

Geometry and Topology,    Mathematical Physics

Institute for Pure and Applied Mathematics (IPAM), UCLA

This workshop will bring together researchers with background in PDEs, Inverse Problems, and Scientific Computing who are already working in machine learning, along with researchers who are interested in these approaches.

Calculus, Differential Equations and Integration,    Applied Mathematics (in general)

The Fields Institute

Bernoulli Center (CIB)

Spatio-temporal modelling central to many modern applications, but the dimensionality of the domain of such data poses both conceptual and computational statistical challenges. These are exacerbated in a nonparametric setting, where questions related to asymptotic framework and invariance assumptions arise. The areas of functional data analysis and random field analysis have been attacking these problems separately, but are now increasingly coming into contact, especially when replication may be feasible. The workshop will bring together experts from both areas to explore recent trends and novel challenges.

Part of the Semester : Functional Data Analysis

Institute for Pure and Applied Mathematics (IPAM), UCLA

This week-long workshop on Mean Field Games (MFG) and Applications for has a number of goals: (i) to gather together leading researchers in MFG and certain cognate areas (economics, optimal transportation, finite dimensional Hamilton-Jacobi equations, Stochastic equations, applied control, numerics). (ii) to expose new researchers to the promise of the field and its array of challenges, while grounding them in its basic techniques; (iv) to make available to the wider community a series of broad interest talks on MFG.

Calculus, Differential Equations and Integration,    Applied Mathematics (in general)

Hausdorff Center for Mathematics

Institute for Pure and Applied Mathematics (IPAM), UCLA

In spite of its flexibility, computing nonlinear problems in random media is very expensive. Hence, in practice, it is needed to consider environments which are small random perturbations of periodic ones, and then to obtain some asymptotic expansion for the ergodic constants. Concrete examples of such phenomena that relate to Hamilton-Jacobi equations are large deviations, front propagation and random walks in random media. The latter strengthens the connection with probability.

Calculus, Differential Equations and Integration,    Applied Mathematics (in general)

The Fields Institute

Two mini-courses will be given by experts in Geometric Group Theory. These are designed to give graduate students and early career researchers a research level perspective on how and why Polyhedral Products appear in Geometric Group Theory, thereby enabling the participants to engage fully in the workshop that immediately follows.

Geometry and Topology,    Group Theory

Bernoulli Center (CIB)

Topological and discrete data such as trees and networks constitute strongly non-Euclidean structures, often beyond the reach of traditional statistical tools. Their analysis is often challenged by computational tractability, as natural constraints such as permutation invariance are computationally hard to implement. Still, such data can be often transposed into more familiar contexts, whether by transformation, asymptotic arguments, or replicated observations. This workshop will explore both modelling and processing of discrete structures, also drawing in areas such as signal processing on graphs and nonparametrics.

Part of the Semester : Functional Data Analysis

Institute for Mathematical Sciences/National University of Singapore

Interactions between people working in Index Theory and Complex Geometry are increasing. One of the reasons is that although researchers use different tools and techniques, their studies have profound connections and are understandable to people from both sides. Sharing experiences and techniques is an opportunity for them to accelerate collaboration works. Index Theory and Complex Geometry recently both have spectacular developments. In this program, we plan to dig out more materials on complex geometry side of global analysis led by recent development on geometric hypoelliptic Laplacians.

Algebra,    Geometry and Topology

Bernoulli Center (CIB)

Important classes of functional data, such as random measures and random operators, are intrinsically constrained and need to be represented as elements of suitable non-Euclidean spaces, such as Hilbert manifolds. The interplay between the infinite dimensionality of their variation and the non-linearity of their representation space poses novel challenges for statistics, at the interface of several domains, such as shape analysis, stochastic geometry, manifold learning, and functional data analysis. This workshop will bring together experts from these fields to explore these novel challenges and future perspectives.

Part of the Semester : Functional Data Analysis

Sobolev Institute of Mathematics, Siberian Branch of Russian Academy of Science, Russia

G2G2-Summer School is associated with G2G2-Minisymposia of 8ECM. It belongs to the G2-series that are about strong and beautiful mathematics, especially those involving group actions on combinatorial objects. The main goal of G2G2-Summer School is to bring together experts and students to exchange ideas and to enrich their mathematical horizon. We organize two short courses and four colloquium talks to let participants see order and simplicity from possibly new perspectives and share insights with experts.

Graph Theory and Combinatorics,    Group Theory

Institute for Mathematical Sciences/National University of Singapore

Causal inference is the study of quantifying whether a treatment, policy, or an intervention, denoted as A, has a causal effect on an outcome interest, denoted as Y. What distinguishes a causal effect of A on Y from an associative effect of A on Y, say by computing the correlation between A and Y, is that under a causal effect, intervening on the treatment A leads to changes in the outcome Y. Hence, a causal effect is a stronger notion of a relationship between A and Y than an associative effect.

Applied Mathematics (in general),    Information & Knowledge Management, Big Data Computing

Centre International de Rencontres Mathématiques (CIRM)

RESEARCH SCHOOL

Algebra,    Applied Mathematics (in general)

Each of three main courses consists of 5 hours of lectures and 1 hour of exercises.

Phone: [48693218569];     Email: psniady@impan.pl

random Young tableaux, shifted symmetric groups, reflection groups, crystal bases

The Young Researchers in Combinatorics workshop is aimed at PhD students and early-career academics working in Extremal and Probabilistic Combinatorics and related fields. By building an environment without senior researchers, we hope the participants will feel free to contribute their ideas openly, thus preparing them to undertake their own research projects. The workshop consists mostly of working sessions in which participants collaborate on research problems, and a limited number of talks and lectures. We aim to host around 10 invited participants and about 25 PhD students for a week between 19 and 25 July 2020 at ICMS Edinburgh. Accommodation and refreshments are provided for all participants, as well as a conference dinner. A registration fee of 100GBP is payable by all non-invited participants. We expect to start accepting applications in October 2019.

Mathematical Sciences Research Institute – MSRI

The Illustrating Mathematics program brings together mathematicians, makers, and artists who share a common interest in illustrating mathematical ideas via computational tools.

The program includes week-long workshops in Geometry and Topology, Algebra and Number Theory, and Dynamics and Probability, as well as master courses, seminars, and an art exhibition.

moduli spaces of geometric structures, hyperbolic geometry, configuration spaces, sphere eversions, apollonian packings, kleinian groups, sandpiles and tropical geometry, analytic number theory, supercharacters, complex dynamics, billiards, random walks, and Schramm–Loewner evolution

Institute for Mathematical Sciences/National University of Singapore

Institute for Mathematical Sciences/National University of Singapore

Engineering (general),    Applied Mathematics (in general)

Institute for Mathematical Sciences/National University of Singapore

This workshop is devoted to the theory of representations of reductive groups over local fields.

Institute for Mathematical Sciences/National University of Singapore

In this two-week program, we explore the interactions between geometric group theory, geometric structures and Anosov representations. Geometric group theory, in the broadest sense, seeks to understand the structure of groups through their actions on objects with geometric meaning. Conversely, one can take a known group and attempt to understand all its geometrically meaningful actions. One natural notion that arises in this setting is an Anosov representation, which came about as an attempt to describe what it means for the action of a discrete group on a homogeneous space to be geometrically well behaved. Also, in his Erlangen program, Felix Klein viewed geometry as a space which is invariant under a group of transformations. This gave rise to the notion of a geometric structure, which gives yet another notion of a geometrically meaningful action of a group on a homogeneous space.

Group Theory,    Geometry and Topology

Institute for Mathematical Sciences/National University of Singapore

This is a two-week program gathering mathematicians and physicists interested in the statistical physics of strongly correlated and long range random particle systems. These particle systems include Gibbs point processes such as Coulomb gases, determinantal point process, eigenvalues of random matrices, etc. They are linked to mathematical long-standing challenges such as the crystallization and best packing conjectures among others. One aspect that we want to put forward in this meeting is that the pioneering tools from classical statistical mechanics à la Ruelle, Lanford, Lebowitz may not have been used enough for the study of these particle systems yet.

Institute for Mathematical Sciences/National University of Singapore

This is a one-week program gathering mathematicians, engineers, and scientists interested in reduced order models and methods (ROMs) for systems of partial differential equations. The general idea behind ROMs is to derive a low-dimensional model from a high-dimensional model, by integrating techniques from data science, modeling, and simulation, in order to obtain accurate and reliable results at greatly reduced computational costs.

Applied Mathematics (in general),    Analysis

Institute for Mathematical Sciences/National University of Singapore