Konferenzen  >  Biowissenschaften  >  Systembiologie und mathematische Biologie

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.

Angewandte Mathematik (allgem.),    Simulation

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.

Angewandte Mathematik (allgem.),    Simulation

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).

Angewandte Mathematik (allgem.),    Biologie

Max Planck Institute for the Physics of Complex Systems, Dresden

Genomforschung und Bioinformatik,    Biophysik

Max Planck Institute for the Physics of Complex Systems, Dresden

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Metabolomics involves the comprehensive analysis of small molecules within a biological sample. Typically acquired using mass spectrometry, metabolomics data reflect the cellular state which can provide insights into health, disease, environmental toxicity, industrial technology, and other areas. Metabolomics data is rich and complex, requiring specialized techniques to interpret the data. With improved detection technologies and advances in machine learning and generative AI, computational analysis of metabolomics is rapidly expanding. This Dagstuhl Seminar extends the Computational Metabolomics series by focusing on enhancing our understanding of metabolomics data and turning the data into actionable biological insights. During this seminar, we aim to discuss topics related to several current challenges in metabolomics.

Molekularbiologie,    Allgemeine und fachübergreifende Veranstaltugen in Informatik

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.

Angewandte Mathematik (allgem.),    Simulation

The European Association for Cancer Research (EACR)

The 7th edition of this extremely popular conference topic will be held in Essen, Germany on 12-14 May 2026. It will showcase the latest breakthroughs in cancer genomics, multiomics, and computational biology, covering topics including machine learning and artificial intelligence, single-cell and spatial analysis of cancers, cell plasticity, cancer immune genomics, data integration and convergence, epigenetics, and genomic instability. If your work centres on any of these topics, you may be able to present it at our conference! Submit an abstract by 16 March 2026 for a chance to have your work featured as a Proffered Paper or in a Flash Talk presentation! Participant registration closes on 13 April 2026.

Conference Officer: Chris Iliffe;     Email: christopher.iliffe@eacr.org

cancer research, oncology, cancer genomics, cancer multiomics, computational cancer biology, machine learning, artificial intelligence, single-cell analysis, spatial analysis, cancer cell plasticity, cancer immune genomics, data integration and convergence, cancer epigenetics, genomic instability, molecular pathology, cancer evolution, immune evasion, bioinformatics, systems biology, translational cancer research

Onkologie,    Genomforschung und Bioinformatik

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

The mathematical modeling of biological systems with partial differential equations has a long and successful history. Many results on species invasion or extinction, pattern formation and species interactions have been derived and used to better understand the biology around us. Applications cover a vast scale of sizes, from protein movement in the cell nucleus, to cell movement to tissue structure, organ structure, up to species interactions on the population level. Recently, a new model class arose that include finite distance interactions into the partial differential equation (PDE) framework. Non-local interactions relate to different sensing mechanisms, starting with sensing through sight and smell, to sensing through touch, cell-cell contact and cell protrusions to more abstract concepts such as learning and memory. In this workshop we aim to bring together established and young researchers to push the frontiers of research into non-local partial differential equations and their applications to biological problems.

Simulation,    Infinitesimalrechnung, Differentialgleichungen, Integralrechnung