Courses and Events for Math Students and Early Career Researchers

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)

Cornell University

Phone: [6072554013];     Email: hko1@cornell.edu

Hausdorff Center for Mathematics

Complex Systems Society and Italian Society for Chaos and Complexity

The school “Complex Networks: Theory, Methods, and Applications” offers a succinct education in network science. It is open to all aspiring scholars in any area of science or engineering who wish to study networks of any kind (whether theoretical or applied), and it is especially addressed to doctoral students and young postdoctoral scholars. The aim of the school is to deepen into both theoretical developments and applications in targeted fields.

Courses and Events for Physics Students,    Complex Networks

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)

University of Salerno

The aim of the Intensive Period is to bring together researchers interested in Poisson geometry in a broad sense and mathematical physics from Italy and from abroad. It also aims at presenting the foundations of the theory as well as its more recent results/ramifications to potentially interested young researchers. The Intensive Period is organized in - a Series of Seminars - a Mini-Workshop on Coisotropic Reduction - a Mini-Workshop on VB-Groupoids - a Summer School on Poisson Geometry - an International Conference on Poisson Geometry

Geometry and Topology,    Mathematical Physics

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

IMUVA-Mathematics Research Institute of the University of Valladolid

This school is organized by the IMUVA-Mathematics Research Institute of the University of Valladolid. The main objective is to offer to future and young researchers of distinct branches of mathematics a series of courses at doctorate level on a new field connected to many areas. There will be an introductory course with minimal prerequisites and two courses on recent applications in different areas. The three courses are aimed to be as self-contained as possible in order to make the school attractive to a wide and diverse audience. The target audience is master's students, PhD students and postdocs from all areas of mathematics. Senior researchers interested in learning on this new topic are also welcome. The school is based on 3 courses organized in an exercise-based format (1 hour of lecture + 40 minutes of exercises for each session). We will also give the opportunity to young researchers to present their own work either through a series of short communications or a poster session.

University of Helsinki, Department of Mathematics and Statistics

The mission of this traditional summer school is to provide one-week intensive courses on active research topics in probability and statistics, lectured by leading scholars in the field. The school is targeted primarily for doctoral students in probability, statistics, and related areas. Advanced MSc students and fresh postdocs are also encouraged to apply.

Dario Gasbarra PL 68 (Gustaf Hällströmin katu 2b) 00014 University of Helsinki, Finland;     Email: dario.gasbarra@helsinki.fi

Probabilistic numerical methods for non-linear PDEs, Large deviations, moment problems, Non-Gaussian selfsimilar processes

The 2020 School on Column Generation is the fourth of its kind (after Paris, France, in 2018 and 2014, Darmstadt, Germany, in 2010 and Montréal, Canada, in 2006) and aims at teaching the state-of-the-art in column generation and branch-and-price to advanced students and PhD students but also to practitioners and researchers interested. The lectures will be given by renowned scientists in the field. The participants will have the opportunity to present their own research or application problems in order to foster discussions and create a "real workshop atmosphere".

Basic theory (decompositions, reformulations, convexification, discretization, etc.), vehicle routing and crew scheduling applications, shortest path subproblems, column generation heuristics, master problem issues (stabilization, aggregation), branching and cutting

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Operational research,    Transportation and Logistics

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

Fintech

Mathematical Economics and Finance,    Cryptography, Blockchain and Information Security

London School of Economics and Political Science

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

The Banff International Research Station will host the "Random motions in Markov and semi-Markov environments and their applications" workshop in Banff from June 7, 2020 to June 14, 2020. The workshop is devoted to the study of random motions (for example, telegraph or transport models) in Markov and semi-Markov environments and their applications. Applications include, in particular, modelling of stock price in finance via the exponential of random telegraph process. Analogue of the Black-Scholes formula for European call option price will be obtained in this case. Another application will be considered to obtain generalization of Black-76 formula in commodity markets by regarding Markov or semi-Markov modulated volatility in the forward pricing of energy markets' products.

Institut de Mathématiques de Bourgogne, Dijon

This Spring School is intended for advanced master students, PhD students, and young researchers in algebraic geometry. Its aim is to provide an insight of some current research topics on the themes of invariants in algebraic geometry. It will be centered around a series of five courses of 4 hours each completed by research talks proposed by the participants to the school.

Algebra,    Geometry and Topology

The PhD Summer Academy for PhD students is a 2 weeks intense period of learning for PhD students, debating, and discovering the fundamental concepts and recent trends in supply chain management, in addition to meeting future colleagues and having a great time in Zaragoza, Spain.

Operational research,    Transportation and Logistics

The main theme of the proposed school are graph algebras, which are objects of growing interest that lie at the boundary between algebra and analysis among other mathematical fields. Despite being introduced only about a decade ago, Leavitt path algebras, as algebraic counterpart of graph C*-algebras, have arisen in a variety of different contexts as diverse as symbolic dynamics, noncommutative geometry, representation theory, and number theory. In particular, Leavitt path algebras can be seen as an algebraic avenue paving the road to understanding its more complex operator theory sibling, graph C*-algebras. Because of the central role these analytic objects play in both the genesis and the ongoing development of Leavitt path algebras, no history of the subject would be complete without a discussion on this topic and its close connexion to Leavitt path algebras.

In this Hausdorff school we study algorithmic aspects of foundational methods to learn and generalise from data. While the nexus is algorithmic, this area of research is a rich and vibrant field within theoretical computer science which draws from deep connections to statistics, geometry, and combinatorics. This Hausdorff School is intended for motivated graduate or postdoctoral students of mathematics or computer science.

Training in Computer Science, Courses,    Algorithms

University of Kent

In this conference we aim to bring together postgraduate researchers working on various areas of Lie theory, such as classical representation theory, diagrammatic and 2-categorical Lie theory and algebraic geometry (such as homogenous spaces). Our goal is to create a friendly and supportive environment for postgraduate students to present their work, see other people’s work and discuss ideas that could be useful in their research. Moreover postgraduate students will have the opportunity to attend talks from experienced researchers in the area.

The school aims at introducing young researchers to the very active and exciting research area related to the so called Langland correspondence. The school will discuss the recent developments concerning local Langlands, together with the more arithmetic recent achievements.

Operational research,    Electric Power Transmission, Power Grid, Smart Grid

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

University of Bialystok

The School is intended for young researchers and graduate students. During the School we plan to organize several 3h courses by leading experts in mathematical physics. The most recent list of speakers can be found at wgmp.uwb.edu.pl/.

Geometry and Topology,    Mathematical Physics

The application of topology to physics has become an integral part of a second quantum revolution in the sciences. The discovery of topological insulators and progress towards topological superconductors realizing non-abelian statistics has moved topological phases of matter onto the center stage in the interaction of topology and physics beyond the quantum Hall effect. While topological physics has been intensively investigated by physicists for the last few decades, the mathematical theory lags far behind. One challenge is formulating the right definition of topological phases of matter, which is closely related to the notoriously difficult problem of finding a rigorous mathematical formulation of quantum field theory. In this summer school, we will focus on two relatively mature foundational topics, and two new directions in the mathematics of topological phases of matter.

Courses and Events for Physics Students,    Mathematical Physics

INESC-TEC Porto / EURO – The Association of European Operational Research Societies

Hausdorff Center for Mathematics (hcm)

The Circle Method emerged one hundred years ago from ideas of Ramanujan, Hardy and Littlewood, and quickly became the most powerful analytic method for counting solutions to Diophantine equations. As the Circle Method enters its second century, new work is making significant advances both in strengthening results in classical Diophantine settings, and in demonstrating applications in novel settings. This includes function field, number field, adelic, geometric, and harmonic analytic applications, with striking consequences in areas such as ergodic theory, subconvexity for L -functions, and the Langlands program. This summer school for graduate students and postdocs will present accessible lecture series that demonstrate how to apply the Circle Method in a wide variety of settings.

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

CIRM – Centre International de Rencontres Mathématiques

Graph problems have applications in many fields and typically require multidisciplinary approaches. The fifth edition of this school aims to bring together leading scientists, junior researchers and PhD students from several areas in order to discuss, possibly in a systematic and organic way, different approaches for solving graph problems. The school is organized in plenary lectures held by internationally renowned speakers. The intended audience consists of PhD students and junior researchers interested in graph problems, coming from several areas including (but not limited to) the design, analysis and experimentation of algorithms, operations research, optimization, and discrete mathematics.

Graph Theory and Combinatorics,    Algorithms

College of Liberal and Professional Studies | University of Pennsylvania

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.

RegML is a 20 hours advanced machine learning course including theory classes and practical laboratory sessions. The course covers foundations as well as recent advances in Machine Learning with emphasis on high dimensional data and a core set techniques, namely regularization methods. In many respects the course is a compressed version of the 9.520 course at MIT.

Neural Networks and Artificial Intelligence, Machine Learning,    Training in Computer Science, Courses

Max Planck Institute for Intelligent Systems, Tübingen, Germany

The machine learning summer school (MLSS) series was started in 2002 with the motivation to promulgate modern methods of statistical machine learning and inference. It was motivated by the observation that while many students are keen to learn about machine learning, and an increasing number of researchers want to apply machine learning methods to their research problems, only few machine learning courses are taught at universities. Machine learning summer schools present topics which are at the core of modern Machine Learning, from fundamentals to state-of-the-art practice. The speakers are leading experts in their field who talk with enthusiasm about their subjects.

Neural Networks and Artificial Intelligence, Machine Learning,    Training in Computer Science, Courses

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

KTH Royal Institute of Technology and Stockholm University

The Young Topologists Meeting (YTM) is an annual event that has previously been organised by the EPFL (Switzerland), the University of Copenhagen (Denmark); and jointly by Stockholm University and the Royal Institute of Technology (Sweden). This year it will take place on July 6-10 in Stockholm. The intention of the conference is to create a setting in which young researchers in topology can meet each other and share their work.

Email: youngtopologistsmeeting@gmail.com

Department of Mathematics of the University of Salerno

Poisson 2020 is the 12nd in a series of international conferences on Poisson geometry. It will be held in the Department of Mathematics of the University of Salerno, Fisciano (SA), and the Accademia Pontaniana, Napoli, Italy. The event comprises: - a Summer School (July 6 - 10), aimed at students in their final years, PhD students and young researchers. - an International Conference (July 13 - 17), to be attended by students and researches from around the world, including some of the leading mathematicians in the field of Poisson Geometry. Links to the previous conferences in the series can be found at the Poisson Geometry Home Page: www.lpthe.jussieu.fr/~dito/poissongeometry.

PhD summer schools on Multiple Criteria Decision Aiding/Making (MCDA/MCDM) have been jointly organized by the International Society on Multiple Criteria Decision (MCDM) making and EURO Working Group on Multicriteria Decision Aiding (EWG-MCDA) regularly since 1983. The summer school brings together around 50 PhD students from all over the world and leading scholars of MCDA/MCDM at a venue where all participants live, work, and socialize together for a two-week period. This event has been very successful in educating future generations of MCDA/MCDM scholars and facilitating networking among participants.

Automorphic forms are present in almost every area of modern number theory. In recent decades there has been a starburst of activity and progress in this broad area, leading to many new and exciting directions, applications, and connections with other areas. This is a rapidly expanding area, with numerous approaches, tools, and interconnections, as well as connections to other areas of mathematics. The Building Bridges research school offers training to graduate students and early career researchers in the areas of automorphic forms and related topics that continue to be the foci of exciting and influential research activity. The five-day workshop immediately following the summer school aims to foster and strengthen a long-lasting, friendly and supportive exchange between automorphic forms researchers in the EU and the US, and to integrate the summer school students into this community. The organizers have obtained funding to subsidize the costs of successful applicants to the summer school.

Nesin Mathematical Village

The 5th GTSS will be held at the IMBM, İstanbul Center for Mathematical Sciences which is established in the main (South) Campus of Boğaziçi University (Bosphorus). There will be about 15 mini-courses of introductory nature, related to the Geometry-Topology research subjects. In the middle of the week there is an excursion on the Bosphorus.

Differential Geometry, Complex Differential Geometry, Topology, Algebraic Geometry

The fourteenth edition of the International Computer Vision Summer School aims to provide both an objective and clear overview and an in-depth analysis of the state-of-the-art research in Computer Vision. The last decade has seen a revolution in the theory and application of computer vision and machine learning. The next decade will see machine perception in embodied systems which learn representations for and from action and interaction. The courses will be delivered by world renowned experts in the field, from both academia and industry, and will cover both theoretical and practical aspects of real Computer Vision problems as well as examples of their successful commercialization

University of Rochester, Yerevan State University and Norwegian University of Science and Technology

University of Rochester, in collaboration with the Yerevan State University and Norwegian University of Science and Technology, is organizing a CIMPA Summer School on Finite Point Configurations and Discrete Integrable Systems, to be held at the Yerevan State University, Armenia, from July 13 until July 24. The summer school will be dedicated to finite point configurations and rigidity, Erdos problems in discrete geometry and frame theory, the Falconer distance conjecture in geometric measure theory, discrete integrable systems and connections between these topics. Participants will be introduced to various open problems and possible research projects in these very active research areas.

Finite Point Configurations, Discrete Integrable Systems, Discrete Geometry

Analysis,    Geometry and Topology

Association of European Operational Research Societies (EURO)

For one week, PhD students and young researchers have the opportunity to learn more on how operational research methods can support organizations on the design, planning and operation of supply chains towards sustainability goals.

The main purpose of ELAVIO is to encourage and strengthen scientific studies conducted by young researchers in the area of Operational Research, training them on topics that are the state of the art in this area, and promoting future scientific collaborations among young researchers and experienced researchers from different Latin-Ibero-American regions and from the world. To fulfill this purpose, ELAVIO 2020 will gather several renowned researchers as invited speakers, who will teach short courses and tutorials (see section Speakers and Courses on our site), besides evaluating the research papers presented by young researchers and commenting on improvements to them. The official languages of ELAVIO are Spanish, Portuguese and English. Short courses and tutorials, and presentations by participants will be given in any of these languages (with slides in English).

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.

The international Metaheuristics Summer School is aimed at qualified and strongly motivated MSc and PhD students; post-docs; young researchers, and both academic and industrial professionals to provide an overview on the several metaheuristics techniques, and an in-depth analysis of the state-of-the-art. The main theme of the 2020 edition is "Learning and Optimization from Big Data", therefore MESS 2020 wants to focus on (i) Learning for Metaheuristics; (ii) Optimization in Machine Learning; and (iii) how Optimization and Learning affect the Metaheuristics making them relevant in handling Big Data.

Operational research,    Information & Knowledge Management, Big Data Computing

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

The Banff International Research Station will host the "Algebraically Integrable Domains" workshop in Banff from August 2, 2020 to August 9, 2020. The main theme of the proposed research activities concerns algebraically integrable domains.

Courses and Events for Physics Students,    Neural Networks and Artificial Intelligence, Machine Learning

Funded by the European Research Council

The field of natural language semantics has undergone what some refer to as an ‘experimental turn’ and is arguably currently undergoing a ‘computational turn’. By expanding the toolbox available to the semanticist, these two turns have the effect of expanding the phenomena that can be explained and the varieties of semantic explanation that can be offered. For example, experimental methods can help distinguish between alternative explanations of semantic effects, e.g. whether to classify controversial phenomena as implicatures or presuppositions. Similarly, computational models of semantics can generate fine-grained and non-categorical predictions that can fruitfully be tested experimentally. And both kinds of methods can be used to ask questions about the emergence of semantic structures in language, including which factors influence their distribution and typology. Given this wider toolbox and purview, we aim to gather a workshop to showcase exciting new work that develops new semantic explanations using experimental and computational methods, as well as to invite broader reflection on the methodology of semantics now and in its future. Topics of potential interest include but are not limited to: * Experimental semantics and pragmatics * Graded/non-categorical semantic theories and explanations * Information-theoretic measures and explanations in semantics and pragmatics * Semantic universals * Learnability and evolution of semantics and pragmatics * Bayesian approaches to semantics and pragmatics * Probing neural models for learned semantic representations * Semantics in emergent communication protocols * The methodology of semantics We invite anonymized submission of abstracts of 2 pages (12 pt font; 1in or 2.5cm margins) — with an extra page for references of figures — on new research on topics related to those listed above by February 15.

Neural Networks and Artificial Intelligence, Machine Learning,    Natural Language Processing, Computational Linguistics

Funded by the European Research Council

The field of natural language semantics has undergone what some refer to as an ‘experimental turn’ and is arguably currently undergoing a ‘computational turn’. By expanding the toolbox available to the semanticist, these two turns have the effect of expanding the phenomena that can be explained and the varieties of semantic explanation that can be offered. For example, experimental methods can help distinguish between alternative explanations of semantic effects, e.g. whether to classify controversial phenomena as implicatures or presuppositions. Similarly, computational models of semantics can generate fine-grained and non-categorical predictions that can fruitfully be tested experimentally. And both kinds of methods can be used to ask questions about the emergence of semantic structures in language, including which factors influence their distribution and typology. Given this wider toolbox and purview, we aim to gather a workshop to showcase exciting new work that develops new semantic explanations using experimental and computational methods, as well as to invite broader reflection on the methodology of semantics now and in its future.

Experimental semantics and pragmatics * Graded/non-categorical semantic theories and explanations * Information-theoretic measures and explanations in semantics and pragmatics * Semantic universals * Learnability and evolution of semantics and pragmatics * Bayesian approaches to semantics and pragmatics * Probing neural models for learned semantic representations * Semantics in emergent communication protocols * The methodology of semantics

Neural Networks and Artificial Intelligence, Machine Learning,    Natural Language Processing, Computational Linguistics

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Geometry and Topology,    Number Theory, Arithmetic

The third edition of Prague Summer School on Discrete Mathematics will be held on August 24-28, 2020 in the historical building of the Computer Science Department of Charles University in the very heart of Prague. Lecture series will be given by Subhash Khot (New York University) and Shayan Oveis Gharan (University of Washington). The School is primarily intended for PhD students and early career researchers. There is no registration fee and a number of travel stipends will be available.

Graph Theory and Combinatorics,    Numerical Analysis and Computational Mathematics

Mathematical Sciences Research Institute – MSRI

CIRM – Centre International de Rencontres Mathématiques

Applied Mathematics (in general),    Natural Language Processing, Computational Linguistics

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

The summer school will consist of short introductory courses followed by more advanced courses on current topics in the area. It will be open to all early-career researchers with even a vague interest in representation theory. We especially encourage masters and Ph.D. students at all levels to attend and anticipate providing accommodation for them.

Bergische Universität Wuppertal

The school aims to introduce graduate students and young researchers to the recent connections between p-adic analysis (understood in a large sense) with mathematical physics and computer science. Several mini-courses and talks will be offered.

ntroduction to p-adic analysis; Introduction to local zeta functions; The p-adic theory of automata; p-Adic models in quantum physics; p-Adic electrostatics; Strings amplitudes, local zeta functions, and log-Coulomb gases.

Number Theory, Arithmetic,    Analysis

Institute for Mathematical Sciences/National University of Singapore

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Institute for Mathematical Sciences/National University of Singapore

Engineering (general),    Applied Mathematics (in general)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Graph Theory and Combinatorics,    Geometry and Topology

Institute for Mathematical Sciences/National University of Singapore

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

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Algebra,    Geometry and Topology

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

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Calculus, Differential Equations and Integration,    Numerical Analysis and Computational Mathematics

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

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.

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Applied Mathematics (in general),    Mathematical Physics

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Neural Networks and Artificial Intelligence, Machine Learning,    Analysis

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

CIRM – Centre International de Rencontres Mathématiques

CIRM IHP PROGRAM

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematical Logic and Foundations,    Information Theory, Foundations of Computer Science

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

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

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Geometry and Topology,    Algebra

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Analysis,    Geometry and Topology

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Calculus, Differential Equations and Integration,    Numerical Analysis and Computational Mathematics

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Analysis,    Systems theory, Control and Automation

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Systems theory, Control and Automation,    Pattern Recognition and Image Processing, Machine Vision

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematical Physics,    Astronomy, Astrophysics and Cosmology

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Algebra,    Analysis

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Quantum Mechanics and Quantum Information Theory,    Mathematical Physics

CIRM – Centre International de Rencontres Mathématiques

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Graph Theory and Combinatorics,    Operational research

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)