Conferences  >  Mathematics  >  Applied Mathematics (in general)  >  United Kingdom

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.

Probability and Statistics, Game Theory,    Clinical Data Management, e-Health

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.

Psychology,    Sociology

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.

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.

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).

Modeling and Simulation,    Computational Physics and Numerical Simulation

Isaac Newton Institute for Mathematical Sciences, Cambridge

Isaac Newton Institute for Mathematical Sciences, Cambridge

Optimization Theory, Operational Research,    Probability and Statistics, Game Theory