Computational Mathematics conferences

Researchers and practitioners will discuss mathematical foundations of data science, including high-dimensional geometry, dimensionality reduction, scalable algorithms, uncertainty and machine learning. The conference takes place in person at the Salt Palace Convention Center on 16–20 November 2026. Early rates run through 19 October; abstract and travel-support deadlines have passed. Registration also covers the co-located SIAM Imaging Science and Data Mining conferences.

The 70th annual meeting spans pure and applied mathematics, statistics, computational methods and interdisciplinary research. Researchers, educators, students and industry participants will discuss fundamental theory and applications through plenary lectures and specialist sessions. The programme connects mathematical discovery with problems in data science, technology and society. Featured research areas include convex geometry and optimisation, algebra and topology, asymptotic analysis, harmonic analysis, probability and mathematical modelling. The conference is hosted at the University of Western Australia in Perth from 1 to 4 December. An early-career workshop and other associated events precede or accompany the main scientific meeting.

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.

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 convenes its triennial conference on applied and numerical linear algebra. The programme covers matrix computations, machine learning, quantum simulation, inverse problems, high-performance computing, dynamical systems, model reduction, optimal transport, network science, tensor methods and related applications. Minitutorial and minisymposium proposals are due 26 October 2026 and contributed presentation abstracts due 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.