Mathematical Modeling conferences

This research conference examines how to model physical interactions at flat interfaces in two-dimensional materials, thin films and metal surfaces. It addresses lattice mismatch and moiré systems, machine-learning interatomic potentials, and prediction of vibrational and electronic properties. Invited talks, short presentations and a panel connect scalable atomistic methods to materials discovery and composition optimization, including applications in carbon capture, alternatives to persistent chemicals and solar-energy materials. Researchers from academia and industry will discuss common accuracy and computational challenges. Friday 13 November 2026, 09:00–17:00 GMT (Europe/London); welcome at 09:40 and invited talks from 10:00. Attendance is free, with limited places and advance registration.

ESCAIDE brings together infectious-disease epidemiology, public-health practice and research. Its programme connects outbreak investigation, surveillance, genomic evidence, modelling and One Health approaches with prevention and health-security decisions. Plenaries examine distributed global public-health leadership and cooperation, the scientific infrastructure behind EU health security, communicating risk when trust is contested, integrated respiratory-infection surveillance, and modelling for public-health decisions. Contributed sessions cover respiratory and food- and water-borne diseases, antimicrobial resistance, surveillance and quantitative methods. Named plenary participants include Shingai Machingaidze (Coalition for Epidemic Preparedness Innovations / International Pandemic Preparedness Secretariat), Gianfranco Spiteri (ECDC), Helen Brown (Safinea, Ireland) and Magdalena Rosińska (National Public Health Institute, Poland). Their sessions consider evidence sharing and equity, capacity gaps, epidemic intelligence and analytical tools for coordinated responses. The conference runs 18–20 November 2026. Programme times are CET (Europe/Stockholm): the opening ceremony is 09:00 on 18 November; the first plenary is 09:30–10:30 and the EU health-security plenary 17:15–18:30 that day. The published programme is provisional and session details may change. Online participation is free, with unlimited general registration open through the conference days. Physical places are at capacity; on-site registration is limited to issued access codes or the waiting list. This listing offers online attendance through the official registration platform.

NeuralNet is the annual scientific meeting of the GDR NeuralNet, a research network supported by the Centre National de la Recherche Scientifique (CNRS) that brings together researchers, engineers and specialists in neural data acquisition, analysis, interpretation and modelling, and fosters collaboration across systems neuroscience, computational modelling, NeuroAI and data science. The 15th annual meeting takes place from 25 to 27 November 2026 at Université Paris Cité, Campus Odéon, Paris. Keynote speakers are Asli Ayaz (VIB-KU Leuven Center for Neuroscience), Sophie Bagur (ESPCI), Joao Barbosa (Neurospin), Brice Bathellier (Institut de l'Audition), Alex Cayco Gajic (École Normale Supérieure), Keith Doelling (Institut de l'Audition), Audrey Hay (CRNL, Lyon), Quentin Perrenoud (École Normale Supérieure), Lorenzo Posani (Paris Brain Institute), Pascale Quilichini (Institut de Neurosciences des Systèmes, Marseille), Peter Rupprecht (Brain Research Institute, Zürich), Ourania Semelidou (Institute of Neurodegenerative Diseases, Bordeaux), Manuel Valero (HMRIB, Barcelona) and Katharina Wilmes (Institute of Neuroinformatics, Zürich). Abstracts for talks and posters are due on 26 October 2026. Early registration, until 10 November 2026, costs €200 for regular participants and €90 for students and postdocs, rising to €250 and €100; it covers the meeting, two breakfasts, one lunch, two coffee breaks, the Thursday evening poster session and a wine and cheese mixer. A separately registered minischool precedes the meeting from 23 to 25 November. Organized by GDR NeuralNet (CNRS).

Explore how evidence can support decisions across livestock production, nutrition, rural economies and land management. The programme connects multi-criteria assessment, life-cycle analysis, system-level modelling, carbon footprints and digital twins, considering environmental, nutritional, economic and social outcomes together. Sessions examine assessment beyond farm boundaries, scenario modelling, harmonization of on-farm tools, and the translation of complex evidence into practical decisions. Discussion panels address uncertainty, trade-offs, model fitness and implementation. The meeting brings together researchers, farmers, industry, policymakers, advisers and sustainability practitioners. Tuesday 1 December 2026, Europe/London (GMT): registration at 10:00, keynote at 10:30, sessions through the afternoon, networking at 16:10 and close at 17:00. Early-bird fees through 3 November are £115 for SCI members, £165 for non-members and £50 for SCI student members; later fees are £145, £195 and £70 respectively. Registration requires an SCI or event account. Poster abstracts are due 26 October.

ISEC brings together ecologists, statisticians and quantitative researchers working on ecological inference and modelling. The main conference runs 10–15 January 2027 in Mérida, Mexico; separate pre-conference workshops run 8–9 January. Early rates run through 30 September 2026, with reduced rates for eligible Global South participants.

The conference examines how probabilistic physical descriptions can explain complex living systems. Themes include reduced-dimensional models, self-assembly, biological cycles, and the exchange and use of energy and information. Minimal models of life, inverse problems and systems with many interacting components are used to seek common theoretical principles. Introductory perspectives and contributed short talks connect physics with biology and learning. Attendance requires a bachelor’s degree in science or engineering, or an accepted equivalent. Applications are subject to selection and available capacity.

SIAM’s computational science and engineering meeting covers mathematical models, scalable algorithms, scientific software, high-performance computing and scientific machine learning. It takes place in Pittsburgh on 22–26 February 2027. Travel-support applications are open until 30 November 2026. Abstract deadlines have passed; registration is scheduled to open in December 2026. The meeting is co-located with ACDA27 and the International Meshing Roundtable.

COSYNE 2027 meets in Montréal, 11–16 March: main meeting 11–14 March and workshops 15–16 March. Registration opens 2 November 2026. COSYNE brings experimental and theoretical approaches together to understand how neural systems support behaviour and cognition. Research connects systems neuroscience with computational models, emphasizing explanations of brain function and exchange between empirical and theoretical researchers. The main meeting is at Fairmont The Queen Elizabeth and workshops are at Le Westin Montréal. Abstract submission is closed. Abstracts use double-blind review, with decisions expected in December 2026. Presenting authors must register by 31 January 2027 at 23:59 EST. Early rates end on 2 February at 23:59 EST.

The conference connects mathematical and computational methods with materials science and engineering. Themes include variational models and partial differential equations, homogenization, inverse problems, image analysis, nonlinear elasticity, phase transitions and pattern formation. Research on soft, active, optical, topological and other functional materials is considered alongside electronic structure, quantum approaches, machine learning and data-driven methods.

The Society for Industrial and Applied Mathematics convenes researchers developing and applying dynamical-systems methods across biology, chemistry, physics, climate science, social science, industry and data science. Themes include computational, experimental, theoretical and data-driven methods; AI-informed systems; fluid and climate dynamics; materials; networks; pattern formation; population dynamics; stochastic systems and tipping points. Minisymposium proposals are due 26 October 2026, followed by contributed lecture, poster and minisymposium-presentation abstracts on 23 November 2026.

The Society for Industrial and Applied Mathematics brings together applied mathematicians, probabilists, statisticians, computer and data scientists, economists and industry practitioners to examine mathematical and computational methods in quantitative finance. Themes include algorithmic trading, agentic and generative AI, climate finance, digital assets, credit and cyber risk, financial data science, insurance mathematics, market microstructure, stochastic control, systemic risk and volatility modelling. Minisymposium proposals are due 17 November 2026, followed by contributed lecture, poster and minisymposium-presentation abstracts on 15 December 2026.

The meeting connects ecology, hydrology, geochemistry, soil science and Earth-system modelling to explain how catchments function across boundaries. Researchers will compare findings across biogeoclimatic regions, disciplinary approaches, and spatial and temporal scales, with particular attention to interfaces between systems. Experimental studies, laboratory analyses, modelling and synthesis of observations will be used to identify advances that become visible when these approaches are combined. Attendance applications are reviewed and capacity may fill before the application deadline.

This conference combines single-molecule imaging, genomics and theory to study dynamic gene regulation, from chromatin organization and transcription through RNA processing and translation. Measurements on individual DNA and RNA molecules in living systems are used to move toward predictive mechanistic models. Themes include epigenetic regulation, transcription dynamics, RNA fate, translation, quantitative theory, integration of imaging with genomics, and AI-assisted analysis of single-molecule data. The 2027 edition includes abstract-selected presentations and panel discussions on theory, AI and best practices, with participation from experimental and theoretical researchers at all career stages. Attendance is available in Heidelberg and virtually. On-site registration closes 6 April 2027; virtual registration closes 6 July 2027.

The Cognitive Computational Neuroscience (CCN) conference connects cognitive science, neuroscience and artificial intelligence through computational explanations of complex behaviour. Its scope includes mechanistic interpretability, representation learning and alignment, biological and artificial intelligence, neural dynamics, and models of perception, cognition and action. The primarily single-track format combines keynotes, research talks and posters with some parallel community sessions. Generative Adversarial Collaborations examine competing theories; keynote-and-tutorial sessions connect research methods with practical implementation. The published submission and early-registration deadlines use end-of-day Anywhere on Earth (AoE, UTC−12).