Konferenzen  >  Mathematik  >  Angewandte Mathematik (allgem.)

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

A tensor category is a category with a tensor product that satisfies properties similar to the tensor product of vector spaces. A typical example is given by the representation category of a group with the usual tensor product. While the most important examples of tensor categories arise from representation theory, the theory has outgrown its origins and has emerged into a vast and complex theory on its own, providing a unified language for many phenomena in different fields. Tensor categories are now ubiquitous in areas such as representation theory, invariants of links and 3-manifolds, algebraic geometry, higher category theory, quantum computing and mathematical physics. All in all the abstract theory of tensor categories along with its applications has seen a rapid growth over the last 10 - 20 years.

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

Symbiotic relationships are ubiquitous on our planet, and a necessary component of life in all its forms. Symbioses have been identified in ecological contexts ranging from forests, to coral reefs, to the microbiota of humans. Despite their importance, the main body of theory largely neglects key features of host-symbiont relationships, such as their interdependent fitness and the fluctuating abundance of symbionts within a hosts’ lifetime. This lack of mathematical theory limits our predictive understanding of the ecological and evolutionary dynamics of these communities, and is affecting our ability to successfully manage and conserve them. During this workshop, biologists and mathematicians will come together to discuss the current challenges and opportunities for the mathematical modelling of symbiotic systems. Participants will develop the foundations of a new class of ‘eco-evolutionary’ models that explicitly accounts for host-symbiont intertwined ecology and evolution, and for the consequences of this interdependence. The developed models will help advance our mechanistic understanding of host-symbiont community dynamics, with implications ranging from forestry management, to coral reef conservation, to human health.

Simulation,    Systembiologie und mathematische Biologie

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

In-host modelling is a burgeoning field at the intersection of biology, mathematics, and computational science, dedicated to unravelling the intricate dynamics of disease and the immune system within individual hosts. The field has evolved significantly over time, driven by the need to understand how pathogens interact with the immune system and how interventions like treatments and vaccines can alter disease or infection outcomes. More work needs to be done to understand how genetic, environmental, and physiological factors affect how individuals respond to infections, vaccines, and treatments, influenced by variations in age, comorbidities, sex, ethnicity, immune-related genes, exposure histories, and overall health. Understanding these differences is crucial for advancing personalized and group-targeted medicines or vaccines, developing new drugs and vaccines, and optimizing public health programming for all populations. A workshop focus will be on key questions from industry and government through large and small group discussions. Industry and government reports will result.

Simulation,    Systembiologie und mathematische Biologie

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This seminar bridges that gap. Designed specifically for non-statisticians, it provides a clear, practical introduction to biostatistics without overwhelming you with mathematics. You’ll learn the “why” behind the numbers, gain tools to spot meaningful findings, and avoid being misled by misused statistics. By the end of the program, you’ll be able to read statistical reports with confidence, communicate findings to colleagues and stakeholders, and make better data-driven decisions that can shape the future of clinical and biotech innovation. By attending, you will: Develop a clearer understanding of common statistical terms and concepts, Gain practical insight into how and why certain tests are applied, Learn approaches for distinguishing between statistically significant and clinically meaningful results, Improve your ability to follow discussions with statisticians and regulatory professionals.

statistics, clinical research, decision making, p-value, drug development, procedure development, statistical theory, statistical application, statistical software, non-statisticians, study design, interpretation of findings, biostatistics, statistical concepts, statistical skills, clinical research findings, statistical interpretation, non-mathematical introduction, descriptive statistics, measures of variability, confidence intervals, effect sizes, clinical significance, meaningful significance, comparative tests, correlation, regression analysis, non-parametric techniques, bayesian logic, bayesian methods, diagnostic testing, genetics, team exercise, scientific paper review, reproducibility, transparency, bias, limitations, statistical jargon, study power, sample size, statistical analysis plan, fda guidance, sap template, logistic regression, survival curves, cox regression, holistic study design

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

Mathematically, the characterization of localization and delocalization is a rich and delicate problem. Many disciplines, including probability, the analysis of partial differential equations, and mathematical physics, offer tools to tackle localization questions. This workshop will convene researchers from across these fields to share new techniques, explore common questions, and initiate novel lines of research. Moreover, the workshop is designed to nurture a community of early-career researchers who are comfortable communicating and collaborating across disciplines.

Infinitesimalrechnung, Differentialgleichungen, Integralrechnung,    Mathematische Physik

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

The vaccine development pipeline is a time, cost and labour-intensive process. Mathematical and computational methods can alleviate challenges related to this intensive process as well as providing further insights into the efficacy and safety of vaccines. These methods are key components of model-informed vaccine development (MIVD) and quantitative systems pharmacology/toxicology (QSP/T). MIVD and QSP/T can be used in tandem to better understand the biological processes and outcomes from vaccination administration, spurring future research. This workshop will strengthen and contribute to the ongoing development of this interdisciplinary community of biologists, mathematicians and vaccinologists.

Simulation,    Pharmakologie und Arzneimittelentwicklung

The GAMM Annual Meeting 2026 will be hosted by the Universität Stuttgart

Infinitesimalrechnung, Differentialgleichungen, Integralrechnung,    Analysis

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

This workshop explores problems in mathematical political science, focusing on recent developments in the study of alternative voting methods and the creation of district electoral maps. Over the last 20 years, many jurisdictions in Canada and the United States have adopted or have considered adopting alternative voting methods such as ranked-choice voting for electing mayors, representatives, city council members, etc. There are many questions about such methods which can be analyzed mathematically. For example, does ranked-choice voting tend to elect candidates who are more centrist than candidates elected by more commonly-used methods like plurality? How can we best achieve proportional representation on a legislative body? What makes an election fair? There are many open problems around such questions, and this workshop hopes to make some progress on them using mathematical tools.

Politikwissenschaft,    Soziologie

American Institute of Mathematics, Pasadena, California

This workshop, sponsored by AIM and the NSF, will focus on advancing mathematical modeling frameworks and theory to address the urgent challenges posed by declining pollinator populations. Insect pollination is vital to terrestrial ecosystems and agriculture, with honeybee pollination in the United States alone valued at over $12 billion annually. Yet, substantial evidence shows that pollinator populations are in sharp decline, with honeybee colony losses reaching unprecedented levels — threatening agricultural sustainability and food security. These declines result from complex interactions among environmental factors (e.g., shifting climate patterns) and biological processes (e.g., exposure to agrochemicals such as insecticides and fungicides, parasitic infections, diseases, and habitat degradation).

Biologie,    Systembiologie und mathematische Biologie

Isaac Newton Institute for Mathematical Sciences, Cambridge

This workshop explores challenging applications of causal inference methodology in biomedical research. These include a variety of topics including; clinical trials with the question of suitable causal estimands in view of intercurrent events, the application of causal discovery in epidemiology, advances in quantitative bias analyses and methods of Mendelian randomisation with time-varying exposures. The time-dependent nature of real-world biomedical data, with its special sources of potential bias, requires tailored statistical methods and will be a core aspect of the workshop. The aim is to move beyond the common simple settings of binary point treatments towards methods allowing for realistically complex causal questions taking the practical limitations of typical biomedical data into account. The workshop will highlight cutting-edge developments and foster discussion on future directions in this arguably most important field of application of causal inference.

Statistik, Spieltheorie ,    Klinisches Datenmanagement, E-Health

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

The landscape of drug design is rapidly evolving, with computational methods and artificial intelligence (AI) playing an increasingly important role. This workshop aims to explore cutting-edge mathematical approaches that are transforming the field of computational drug design. We will delve into multiscale modeling techniques that bridge the gap between molecular and macroscopic levels, providing a comprehensive understanding of drug interactions and dynamics. Additionally, we will highlight the integration of generative AI and machine learning (ML) algorithms in predicting drug efficacy, optimizing molecular structure, speeding up drug repurposing, understanding potential toxicity, and thus accelerating the drug discovery and development process. By bringing together diverse experts from academia, industry, and innovation support organizations, and adding early career researchers to the mix, this workshop will foster interdisciplinary collaboration and innovation. Participants will gain insights into the latest developments, discuss challenges, and explore future opportunities in the quest for more effective and efficient drug design.

Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen,    Pharmakologie und Arzneimittelentwicklung

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

Baryonic matter in the Universe is almost exclusively (99,9 \%) in the plasma state, which is one of the four common states (with solid, liquid and gas), having the specificity of being strongly affected by electrical and magnetic fields. Already three generations of plasma physicists have worked at understanding more precisely the dynamics of plasmas, unravelling their secrets and bringing order to what seems by nature chaotic. Still, the plasmas continue to preserve a part of their mystery. First, our project aims to gain more insight into the microscopic reactions induced by the presence of radiation. Secondly, it is to mathematically elucidate how inertial effects coming from the mixing of charged species (like electrons and ions) is able to stabilize the plasma dynamics at very small scales. Incidently, this would bring innovative insight about some specificities of (magnetohydrodynamics).

Zahlentheorie, Arithmetik,    Mathematische Physik

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

According to recently published research study in Canada Medical Association Journal, in 2024, the number of new cancer cases and deaths from cancer were expected to reach 247 100 and 88 100, respectively. A key driver of cancer formation, development and its metastasis are single cancer cells. Understanding the biochemical processes that drive their force generation and polarisation and their mechanical properties might aid our understanding of how single cancer cells evolve over time and how they aid the formation of primary and secondary tumours. Cell migration is essential for many biological processes; e.g. immune response, embryogenesis, and cancer metastasis. The aim of this 5-day workshop is to bring applied mathematicians, cellular, molecular and developmental biologists, biophysicists, biostatisticians, biomechanical engineers and biotechnologists to deliberate on a roadmap towards developing 2- and 3-D mechanobiochemical models (MBMs) for single and collective cell migration through non-isotropic environments. The ultimate goal is to develop biophysically- and mathematically-engineered artificial cells that can be easily interrogated and perturbed for medical, biomedical, cancer and drug-delivery research at low cost, while reducing the use of animals in experiments.

Simulation,    Systembiologie und mathematische Biologie

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

Plant productivity and resilience to environmental stresses such as climate change depends on the mechanisms that define cellular morphogenesis. This is largely governed by the mechanical properties of the plant cell wall, which is in turn dependent on the spatial organization of dynamic cytoskeletal polymers known as microtubules. In contrast to animal cells, where microtubule organization is controlled by organizing centres, plant cell microtubule arrays are self organized. Understanding this self-organization remains an active area of research where mathematical approaches have proven to be indispensable. This is done by simulating interacting microtubules in shapes representing an individual cell. Starting with simple simulations, different researchers have implemented their own computational models to study various aspects involved in this process. Building on this, these models are now employing increasingly sophisticated ideas. This workshop aims to give researchers the opportunity to understand each others' models and to foster stronger collaborations.

Simulation,    Botanik

The conference focuses on recent developments in applied mathematics. Topics will include challenges from materials and fluids, singular stochastic models, homogenization, optimal transport and regularity theory. The conference seeks to create interaction at the interface of these fields bringing together international experts and junior scientists.

Association of Nepalese Mathematicians in America, Nepal Mathematical Society, and Central Department of Mathematics at Tribhuvan University

The conference provides a platform for a diverse group of scientists applying mathematics to natural and health sciences, engineering, and finance. Specific areas covered include, but are not limited to, differential equations, computational mathematics, mathematical biology, statistics, data science and analytics, mathematics education, analysis, topology, geometry, algebra, number theory, optimization, operations research, quantitative finance, biomedical science, biophysics, and public health. The emphasis will be on bringing together mathematicians and scientists from all over the world for discussing and disseminating current research trends so as to provide opportunities for participants particularly from Southeast and East Asian countries for initiating research collaborations and building professional network.The conference features six plenary lectures delivered by renowned scientists and educators, special lectures presented by experts in diverse research topics, parallel sessions on invited and contributed talks, and poster presentations.

Email: khana66a@erau.edu

Differential Equations and Nonlinear Analysis, Mathematical Biology, Algebra, Geometry, Topology, Probability, Statistics, Data Science, Mathematics Education, Numerical Analysis, Scientific Computation, and Optimization

Infinitesimalrechnung, Differentialgleichungen, Integralrechnung,    Numerische Analysis

The Hausdorff Research Institute for Mathematics (HIM)

This school features talks on topics in mechanism design theory of recent interest. The emphasis is on topics closely related to the program's core objectives. Participation in the school prepares attendees for researching current questions in mechanism design.

Fields Institute, Toronto, Canada

Kurse und Veranstaltungen für Physikstudenten,    Infinitesimalrechnung, Differentialgleichungen, Integralrechnung

Fields Institute, Toronto, Canada

The Hausdorff Research Institute for Mathematics (HIM)

Mechanism design without transfers considers the case when outcomes are allocations of objects to agents and do not involve monetary transfers between the agents. There are various legal, ethical, or practical reasons motivating this restriction. The absence of transfers limits the extent to which mechanism design goals can be achieved. The literature thus focuses on proving the existence of and constructing allocations with economically desirable properties rather than incentive-compatible mechanisms implementing those. Indeed, such mechanisms often fail to exist. Recently, this line of work has been picked up by theoretical computer scientists since it gives rise to various computational questions. This workshop focuses on fair division, matching, and other allocation problems without transfers.

This workshop is directed at the participants in the Trimester Program "Advances in Mechanism Design". It is not possible to apply only for this workshop.

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

Cost-effective monitoring of large transportation networks, combined with the collection of accurate and relevant data on transport, vehicle movements, and individual mobility through various technologies, is crucial for enhancing transportation service efficiency. As we have seen in the past decade, recent technological advancements have produced an enormous volume of data, which is invaluable for understanding, planning, and managing transport networks in large cities, while also addressing the limitations imposed by road network growth. The challenge of managing, analyzing, and interpreting the information collected is considerable. The objective of this workshop is to bring together statisticians and engineers, with the specific goal to share recent advances, identify pressing problems, spark productive collaborations, and ultimately advance the state of the art by developing methods for the statistical modeling of data in the field of transportation. We will foster these interactions through four theme-focused daily workshops on the following topics: network modeling, travel behavior and choice modeling, traffic flow modeling and accident and safety analysis.

Optimierungsrechnung, Entscheidungsunterstützung,    Transport und Logistik

The Hausdorff Research Institute for Mathematics (HIM)

The workshop brings together research at the intersection of mechanism design and information design. Traditionally, mechanism design studies the design of optimal institutions, taking the information structure as given, whereas information design studies the design of optimal information structures, within a given institution. Recent applications have highlighted the importance of jointly determining mechanisms together with how information is used by the mechanism (e.g., limited commitment, aftermarkets, robust mechanism design) and how the tools of information/mechanism design can be used to answer questions of mechanism/information design (e.g., delegation). The goal of the workshop is to introduce participants to this new frontier of design by showcasing the latest research in the area.

This workshop is directed at the participants in the Trimester Program "Advances in Mechanism Design". It is not possible to apply only for this workshop.

The Hausdorff Research Institute for Mathematics (HIM)

The outcome of a mechanism is, from the perspective of an agent, uncertain ex-ante since the other agents’ types are unknown or the mechanism itself randomizes over outcomes. Most work on mechanism design assumes that agents maximize their expected utility when faced with uncertainty. There is, however, strong empirical evidence that expected utility theory does not explain agents’ behavior in common mechanism design settings well. This workshop aims to promote a more general theory for mechanism design without the expected utility hypothesis by combining the expertise on decision-making under uncertainty in the decision theory community with methods from mechanism design.

Isaac Newton Institute for Mathematical Sciences, Cambridge

Interdisciplinary research requires researchers to first develop a common language for discipline specific terminology. This school will gather experts from various disciplines within behavioural and mathematical sciences, to establish common ground in terminology, map the similarities and differences in challenge perspectives across disciplines, and discuss inclusive environments in interdisciplinary settings. The confluence of modelling and behavioural expertise will be harnessed to promote structured discussions of the adequacy and required innovation to capture key behaviours in modelling approaches. The school will feature contributions from across the mathematical sciences, with expertise in incorporating behaviour into the spectrum of modelling approaches (agent-based models, meso-level, macro-level and AI modelling) across epidemiology, energy use and other application areas, to present conventional and emerging methodologies for incorporating human behaviour.

Psychologie,    Soziologie

The International Centre for Mathematical Sciences (ICMS)

Collective cell migration and pattern formation are entwined phenomena of immense fascination. Development, tissue repair and disease progression all involve coordination between cell movements, growth, and intercellular signalling processes. A better understanding of their interplay across different spatial and temporal scales will help improve diagnosis and treatment of diseases. The aim of this workshop is to draw together state of the art techniques within (i) the biological mechanisms that underpin processes of collective cell migration and pattern formation, (ii) the mathematical and computational models used to study these phenomena, and (iii) the analytical tools that can be used to unlock core properties contained within these models.

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

The subjects in this workshop are closely related to the world we live in. For example, the Einstein metrics - describing gravitational fields and mirror symmetry - a phenomenon discovered to describe our physical universe. To understand them, we need to find solutions to equations that involve many unknowns and their derivatives. It is highly challenging to construct solutions for these equations. Many basic questions remain open despite great efforts have been devoted and significant progress has been made. In attempts to solve the equations, a powerful way is the geometric flows. These are equations which evolve the key quantities that we try to understand along with time, and as time moves on the evolutions eventually get close to the true solutions. This approach has been fruitful and providing deep insights. It it timely to gather some of the leading experts and young talents to share their results and imitate new projects.

Isaac Newton Institute for Mathematical Sciences, Cambridge

The workshop aims to advance the mathematical design and analysis of wave propagation in metamaterials and complex media for a wide variety of applications of major importance for industry and society. It will focus on two outstanding and interconnected themes of multiple wave scattering identified during the parent programme and which have rapidly progressed since: (i) heterogeneous materials with varying degrees of order/disorder, and (ii) locally resonant materials, with applications in water-wave energy harvesting, electromagnetics/optics, acoustics/elastic waves etc.

Isaac Newton Institute for Mathematical Sciences, Cambridge

The main goal of this Workshop is to advance our understanding of metastability, critical behaviour, and long transients in models of Earth system to substantially improve our ability to anticipate critical behaviour. The topic covers a diverse spectrum of research disciplines: applied mathematics, data science, theoretical and statistical physics, complexity theory, climate science, paeloclimatology, and mathematical/theoretical ecology. Therefore, we will welcome diverse participants ranging from theoreticians to numerical modellers, and to experts in observations, experiments, data collection and postprocessing. We will focus on the nascent approaches and theories, and will explore the interdisciplinary aspects of the problem. We will also relate modelling the current global situation the Earth’s crises in the past, where changes in the climatic conditions or in its dominant patterns of variability caused mass extinction events. The workshop will consist of a set of insightful talks followed by joint discussions.

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

Catastrophic events, even though they happen rarely, have a significant impact when they occur. Disastrous climate, financial, insurance or complex network failure events can have devastating social and environmental consequences. A complete risk analysis for modelling and prediction purposes requires understanding how these extreme, rare events occur, and what are the main drivers causing them. Machine learning methods open the road for methodological developments to forecast these extreme events and discover their complex, possibly high-dimensional nature. The aim of this workshop is to bring together researchers contributing to closely related, but culturally disconnected research communities: extreme value theory and machine learning. The goal is to discuss new directions and open mathematical problems, and foster further collaboration. The leading experts will introduce young researchers, postdocs and graduate students to the state-of-the-art in the field.

Statistik, Spieltheorie ,    Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen

Isaac Newton Institute for Mathematical Sciences, Cambridge

The workshop will focus on mathematical modelling for behaviour, with three main themes: (i) Abstraction of real-world systems into mathematical models: (ii) Societal response to policy; (iii) Data needs. Much of the workshop will consist of invited and contributed research talks, and we will hold dynamic panel-based discussion sessions around key topics including engagement with government and public communication of modelling. Another key topic for discussion during the workshop will be the international vision for the research area. This workshop will take a global perspective, seeking to develop a roadmap for how the discipline can develop in the medium- and long-term. The strong interdisciplinary focus will aptly position workshop attendees to help steer the future development of the maths of human behaviour as a research area (with interdisciplinarity, internationalism and impact at the forefront).

Simulation,    Computerphysik und Numerische Simulation

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

The Banff International Research Station will host the workshop "Recent Breakthroughs and New Perspectives on the Interplay between Fluid Mechanics and Kinetic Theory" in 2026. This event will bring together leading experts from two closely-related fields---fluid mechanics and kinetic theory---that have seen remarkable progress and growth in the last decade. The workshop aims to foster collaboration and the exchange of ideas between these communities, accelerating the proliferation of techniques and discovery of new research directions.

Infinitesimalrechnung, Differentialgleichungen, Integralrechnung,    Angewandte Physik (allgemein)

The Romanian Society of Applied and Industrial Mathematics (ROMAI)

CAIM series provide a forum for the review of the recent trends in applied and industrial mathematics either from a qualitative or from a numerical point of view. Computer science communications are welcome. Since theoretical studies find sooner or later their applicability, the conference has also sections for the theoretical branches of mathematics like algebra, probability theory, mathematical statistics or geometry.

Email: romai.board@gmail.com

Partial Differential Equations, Dynamical Systems, Mathematical Modeling in Engineering and Life Sciences, Functional and Numerical Analysis, Probability Theory, Mathematical Statistics, Operations Research, Algebra, Logic, Geometry, Computer Science, Education.

Numerische Analysis,    Infinitesimalrechnung, Differentialgleichungen, Integralrechnung

TOBB University of Economics and Technology, Department of Mathematics

The ATSF 2026 Conference is the 9th event of the Approximation Theory and Special Functions (ATSF) series. The conference aims to bring together researchers working in approximation theory, special functions, numerical analysis, and related areas, fostering interaction between theoretical developments and applications.

Approximation Theory, Special Functions, Summability Theory, Applied Mathematics, Analysis and Functions Theory

Analysis,    Numerische Analysis

Isaac Newton Institute for Mathematical Sciences, Cambridge

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

Understanding the resilience of ecosystems will be critical for our future considering the multiple crises that we face. Current understanding of resilience relies largely on examining the consequences of disturbances in a deterministic framework. However, disturbances will be arguably stochastic in nature. Disturbances will be multifaceted, often repeated, and probably highly variable over time. Furthermore there is uncertainty and randomness in the processes that respond to the disturbances. Consequently, resilience is most naturally explored in the context of stochasticity: randomness in disturbances must be expected and prepared for. In this workshop, we aim to bring together stochastic and deterministic researchers studying the resilience of ecosystems and the resilience of human economic-ecosystem interactions.

Statistik, Spieltheorie ,    Ökosysteme, Umwelt und nachhaltige Entwicklung

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

Most volcanic hazards --- from lava and pyroclastic flows to ash and gas clouds --- are fundamentally multiphase fluid flows. Predicting these fluid flows is of considerable importance in order to inform quantitative hazard assessment, including, for example, potential evacuation and exclusion zones during eruptions. Although recent advances in remote sensing offer some remarkable new insights into the dynamics, these hazardous fluid flows can be difficult to measure directly. Predictive mathematical models therefore play a vital role in allowing forecasters make robust operational decisions. This is the theme of our proposed workshop: the fluid mechanics of volcanic hazards.

Simulation,    Geophysik und Geologie

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

The 5-day workshop, "Space-time Approaches to PDE Solvers: Unlocking the Power of Co-Design'', will bring together a diverse group of leading international experts in numerical analysis, scientific computing, and hardware-software integration to review and explore the cutting-edge developments and challenges in the simulation of complex PDEs. The workshop will focus on three major themes: i) space-time discretization methods for PDEs; ii) co-design principles for the next generation of PDE solvers; and iii) real-world applications for these advanced solvers, ranging from fluid dynamics and Earth system modeling to plasma-based energy systems to biomedical simulations and personalized medicine.

Infinitesimalrechnung, Differentialgleichungen, Integralrechnung,    Numerische Analysis

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

The upcoming workshop on the analysis of wastewater and environmental surveillance data aims to revolutionize how we handle and interpret wastewater data through advanced statistical methods. Participants will focus on newly developed statistical approaches and optimization of existing models, with a special emphasis on how to prioritize avenues of research that not only generate insightful academic results but are also feasible, impactful, and capable of addressing immediate public health needs. This thoughtful approach will help bridge scientific discovery and real-world implementation. The workshop will also work toward establishing a standardized framework to evaluate and enhance the performance of wastewater models. By fostering collaboration among statisticians, engineers, biologists, and public health experts, the event seeks to generate innovative, practical solutions. Additionally, it will provide public health decision-makers with reliable tools for interpreting wastewater data, helping them make informed decisions during health crises.

Hydrologie,    Schulungen in Entsorgung, Abfallwirtschaft und Umweltschutz

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

The mathematics of Design Theory traces its roots back to antiquity, with Latin squares appearing in medieval Islamic manuscripts and in the 17th and 18th century works of Choi Seok-jeong, Jacques Ozanam and Leonhard Euler. The subject is known for its longstanding open problems, many of which took over a century to resolve: Euler's 36 Officers Problem was posed in the 18th century and solved by Tarry in 1900; the Existence Problem for Combinatorial Designs was posed in the 19th century and solved for large orders by Keevash in 2014. The impetus for this workshop comes from the dramatic advances that have been made in Design Theory during the last decade since this breakthrough. This period has seen an explosion of solutions for large orders to high profile classical problems in Design Theory, based on the key new idea that probabilistic arguments, often in conjunction with algebraic constructions, can yield powerful new approaches for finding these solutions for large orders. The time is therefore ripe for bringing together experts in both the new and classical methods of Design Theory to share ideas, make new collaborations, solve problems and identify important directions for future research.

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

The rapid advances in the mathematical analysis of geometric nonlinear dispersive equations, from General Relativity, fluid dynamics, quantum mechanics, both on the deterministic and the probabilistic side, make this an opportune time for the proposed workshop. Our objective is to bring together leading experts with overlapping interests related to this wide range of problems and disseminate and exchange state of the art tools newly available.

Isaac Newton Institute for Mathematical Sciences, Cambridge

Optimierungsrechnung, Entscheidungsunterstützung,    Statistik, Spieltheorie