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ICMS - International Centre for Mathematical Sciences

This workshop will focus on developing new statistical solutions to address these new ecological data-driven challenges.

Probability and Statistics, Game Theory,    Modeling and Simulation

Isaac Newton Institute for Mathematical Sciences (INI)

ICMS - International Centre for Mathematical Sciences

The International Conference on Stochastic Analysis and Applications (ICSAA) is a biannual on Stochastic Analysis. The first edition of this conference series was held in Washington in 2006, for past editions of ICSAA see https://www.math.uni-bielefeld.de/icsaa/#history. It is in the scope of the conference to embrace a wide breadth of topics in stochastic analysis and interplaying mathematical disciplines.

Isaac Newton Institute for Mathematical Sciences (INI)

This workshop will bring together researchers from biophysics/mechanobiology experiment, soft active matter theory and non-equilibrium statistical mechanics. There will be a mixture of pedagogical overview talks and research talks. The meeting aims to bring together mathematicians and statistical physicists specializing in the fundamental properties of fluctuations and response in nonequilibrium states with theoretical researchers in soft matter working on active matter and biological physics and experimental researchers in biology and biophysics. We expect to enable new collaborations and cross-fertilization of ideas. In short, we expect that understanding the living world will provide challenges that will stimulate new fundamental thinking in statistical physics while current research in this field will help to structure our ever-expanding knowledge of living matter as a nonequilibrium dynamical system.

 Department of Actuarial Mathematics and Statistics at HWU

The 26th International Congress on Insurance: Mathematics and Economics (IME 2023) will take place on 4th – 7th July 2023, hosted by the Department of Actuarial Mathematics and Statistics at Heriot-Watt University (HWU), in association with the journal Insurance: Mathematics and Economics. The conference will take place at the Edinburgh Conference Centre at HWU’s Edinburgh campus. We are proud to have been given the opportunity to host the first in-person IME congress since Munich in 2019 and we look forward to welcoming you all in Summer 2023!

Climate Risk and Sustainability  • Cyber Risk  • Data Science  • Finance  • Insurance Technology  • Life  • Non-Life  • Pandemic Risk  • Pension and Retirement  • Quantitative Risk Management 

Probability and Statistics, Game Theory,    Mathematical Economics and Finance

ICMS - International Centre for Mathematical Sciences

Isaac Newton Institute for Mathematical Sciences (INI)

The "Complex analysis: techniques, applications and computations" (CAT) programme of 2019 brought together participants from diverse geographical and scientific communities to develop and apply complex analysis to a host of problems from areas including pure and applied mathematics, physics, engineering, and medicine. The Follow-On workshop is an opportunity to consolidate the achievements of the CAT programme and enhance its impact. Its first main goal will be to assess the progress that has taken place in the key thematic areas of the programme. The second main goal will be to formulate new open problems for the community to address in subsequent years. Finally, the workshop will also provide an opportunity to establish new collaborations. The workshop will mirror the structure of the original thematic programme and will cover the following three main overlapping areas: (1) Techniques of complex analysis, including, but not limited to, connections with classical, harmonic and asymptotic analysis, new transform methods, advances in the Wiener–Hopf and Riemann–Hilbert problems; (2) Applications of complex analysis, highlighting connections with diverse areas of modern physics and applied sciences as well as engineering; and n(3) computational complex analysis, including a range of topics bridging mathematical foundations of various numerical techniques and their software implementations.

Isaac Newton Institute for Mathematical Sciences (INI)

Modelling collective group movement in animal ecology and cell biology has, over the years, followed two relatively parallel modelling paths. Most prevalent for the former are what one might define as discrete level models, whereby computational constructs are used to keep track of the spatio-temporal dynamics of each individual in a group. Problems in the latter, cell biology, have been tackled mostly by continuous models whereby the details of the individuals are neglected, in favour of a description of the entire population through, e.g. a density function. However, more recently hybrid agent-based/population models have gained increasing usage.

As the overall aim of the workshop is to create an overarching modelling framework with which to interpret common empirical features, the exchange of ideas and techniques from the different communities is an invaluable opportunity to move forward and at the same to delineate the boundaries of applicability of the different approaches in collective movement research.

Modeling and Simulation,    Systems Biology and Computational Biology

Institute of Mathematics and its Applications

This conference aims to bring together a wide variety of participants and topics applying a variety of mathematical methods with defence and security applications. The programme will include invited speakers, presentations and poster sessions, as well as refreshment breaks for informal discussions. It is aimed towards mathematicians, scientists and engineers from both industry and academia, in addition to government and military personnel who have an interest in how mathematics can be applied to defence and security problems.

Email: conferences@ima.org.uk

Cryptography, Blockchain and Information Security,    Meetings of Professional Bodies in Mathematics

ICMS - International Centre for Mathematical Sciences

The aim of this workshop is to bring together experts from different communities to cover the investigation of diffusive systems from several viewpoints: analytically, combining methods and techniques from Partial Differential Equations (PDEs) and dynamical systems to derive and analyse mathematical models for the applied phenomena; numerically, reviewing the most recent techniques and software for the computation of bifurcation diagrams and continuation with respect to the systems’ parameters; and, last but not least, from the applied — in particular biological — viewpoint: a constant exchange of knowledge between the theoretical investigations and the experimental data is in fact crucial in order to advance the research in this area. Our speakers will illustrate the most recent advancements in these fields, and foster the creation of new research directions with a concluding description of three open research questions aimed at colleagues working in fields different from their own. This will allow researchers with different backgrounds to learn ultimate techniques, connect with experts from various areas, and collaborate with fellow participants to produce new, cutting-edge research.

Analysis,    Calculus, Differential Equations and Integration

Isaac Newton Institute for Mathematical Sciences (INI)

The study of interactions among living entities covers broad scientific domains, ranging from molecules and cells through individual organisms and groups to species, populations and communities. Common to all domains is the need to quantify the presumed interactions at the relevant spatial and temporal scales. While no formal theory exists in the literature, there exist different approaches that aim to construct a mechanistic representation of how individuals interact with each other as well as how to measure such interactions, but in most cases such approaches are specific to the problem at hand. The common factor among the existing approaches is their intention to represent the sequential nature of how organisms interact, first acquiring information from their surroundings, then processing that information and subsequently selecting a movement response.

By cross-fertilising different ideas and techniques in animal ecology and cell biology we aim to gain a more realistic perspective on measurement and representation of organism interactions, revisiting existing concepts, and permitting new discoveries and insights.

Modeling and Simulation,    Systems Biology and Computational Biology

Isaac Newton Institute for Mathematical Sciences (INI)

Thermodynamics, Fluid Dynamics and Statistical Physics,    Condensed Matter Physics and Materials

Isaac Newton Institute for Mathematical Sciences (INI)

Modeling and Simulation,    Systems Biology and Computational Biology

Isaac Newton Institute for Mathematical Sciences (INI)

The purpose of this workshop is to bring together scientists interested in different areas of complex movement in a biological context, from field research, to data analysis, to theoretical modelling. In particular, the focus will be on complex movement beyond the Markov property, such as memory-dependent animal foraging processes, spatial avoidance due to past deposition of animal scent or resource depletion, and directed motion in neutrophils. Despite its ubiquity, the mathematical difficulty in dealing with history dependence has hampered the study of non-Markov movement processes. Past empirical limitations are also responsible for the lack of a general theory to describe history dependent movement processes, as detection of features that would distinguish between Markov and non-Markov model predictions were not attainable. Currently, movement data may reach unprecedented resolution, and there is a renewed interest in developing non-Markov movement models, exemplified by recent theoretical studies to devise general prescriptions to simulate non-Markov stochastic processes.

Modeling and Simulation,    Systems Biology and Computational Biology

ICMS - International Centre for Mathematical Sciences

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

Information & Knowledge Management, Big Data Computing,    Scientific Computing and Data Science

Isaac Newton Institute for Mathematical Sciences (INI)

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

Computational Physics and Numerical Simulation,    Meteorology and Climate Change