Meetings/Workshops on Applied Mathematics (in general) in Canada

Society for Industrial and Applied Mathematics (SIAM)/Canadian Applied and Industrial Mathematics Society (CAIMS)

2020 SIAM Annual Meeting held jointly with the 2020 Annual Meeting of The Canadian Applied and Industrial Mathematics Society (CAIMS)/Société Canadienne de Mathématiques Appliquées et Industrielles (SCMAI).

Canadian Mathematical Society

The pandemic has changed the way we plan, teach, and do research. The CMS COVID-19 meeting is an occasion for the community to come together, discuss these changes and map the way forward. A complete and detailed list of sessions and speakers is posted on the meeting website.

Event Organiser;     Email: meetings@cms.math.ca

K-12 Math Education, Math and Public Policy, Pandemic, Covid-19, Online Teaching, Grant Writing

Modeling and Simulation,    General Mathematical Research and Multidisciplinary Events

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

Partial differential equations arise ubiquitously as laws of physics and other mathematical models across the scientific and engineering disciplines. The solutions to these equations describe the behavior of the systems modeled by the equations, but very often the solutions are too complicated to be found exactly. As an example from one of many disciplines, equations governing the flow of liquids or gases can be simple to write down, but solutions corresponding to extremely intricate turbulent motions of the fluids are impossible to find. One approach in such cases is to use powerful computers to approximate single solutions. A second complementary approach is to seek mathematical statements that give only partial information about solutions but that apply broadly to all possible solutions. This Focused Research Group aims to improve and apply methods that take the latter approach. This will be done by using recently developed tools from the field of optimization to solve research questions in the field of partial differential equations. This requires bringing together researchers in both of these largely separate mathematical disciplines, which is made possible by the BIRS Focused Research Group program.

Interfacial phenomena are observed in many fields of sciences, such as chemistry, physics, biology and medicine. Examples include formation and motion of phase boundaries in multi-phase materials, propagation of population waves in ecology, and so on. This workshop focuses, among other things, on interfacial phenomena in complex environments, such as those in spatially and/or temporally heterogeneous media, those in random environments, and those in the presence of obstacles. We also focus on interfacial phenomena in biology and those related to geometry. We aim at developing new mathematical framework to deepen our understanding of those complex interfacial phenomena.

University of Saskatchewan

The Canadian Conference on Computational Geometry (CCCG) is a forum to disseminate and discuss new theoretical and applied results in discrete and computational geometry. CCCG focuses on the design of efficient algorithms, the development of software, and the study of the mathematical foundations of computational problems whose formulations involve geometric constraints. The field of computational geometry is motivated by problems from a broad range of application areas, as diverse as computer graphics and animation, computer vision, computer-aided design and manufacturing, geographic information systems, pattern recognition, wireless communications, robotics, protein folding, urban planning, graph drawing, or statistical analysis.

Geometry and Topology,    Algorithms

Causal inference is a central pillar of many scientific disciplines. Motivated by applications in different scientific fields, there has been tremendous progress in causal inference in the last twenty years. At the same time, the era of big data has presented the field with massive, heterogeneous and complex data sets, posing further challenges. It is therefore crucial and timely to bring together the researchers from both ends, in order to share recent advances, to identify pressing problems, to spark productive collaborations, and to ultimately advance the state of the art by developing new theory and methods for causal inference with big data.

The purpose of this workshop is to bring together researchers in mathematics and statistics to discuss the next generation of problems evolving from the analysis of time series and spatiotemporal data using multitaper methods.

One of the key technologies emerging in the 21st century is that of advanced materials, which offer the opportunity to change our lives in many ways, from improving energy efficiency through enabling new biomedical treatments and devices. In order to harness these materials, though, significant progress is needed in developing our understanding of how they work and interact, across scales ranging from those of atoms and molecules through the full size of devices constructed from them. Across the fields of experimentalists, materials scientists, and computational scientists focusing on active biological tissue, significant research is now underway in understanding the properties of both natural and engineered materials across these scales. This workshop brings together experts with distinct views on these materials and devices, aiming to seed the cross-disciplinary research needed to realize their potential to gain new knowledge on active biological materials and to best exploit it. We will bring together a diverse group of world-leading researchers focusing on discussions on the advances currently being made and the collaborations needed to fully unlock the transformative power of advanced materials by using biological active materials as role models.

Condensed Matter Physics and Materials,    Computational Physics and Numerical Simulation

This interdisciplinary workshop brings together engineers and researchers from numerical mathematics, statistics, and environmental sciences, to develop and innovate on the assimilation and inverse methods to address the specific issues related to atmospheric composition and chemistry. It will also be a forum to train new scientists in this emerging field, and to promote the research towards new operational monitoring products.

Department of Mathematics & Statistics and the Department of Supply Chain & Business Technology Management of Concordia University in Montreal

In keeping with the long tradition of previous decennial conferences (starting in 1971), this convention is dedicated to all areas of statistical sciences. In addition to the traditional theoretical/applied areas, interdisciplinary research would be encouraged and promoted including major theme areas Applied Statistics, Big Data, Bioinformatics, Biostatistics, Computational Statistics, Data Mining, Data Science, Demography, Econometrics, Health Statistics, Model Selection and Validation, Social Statistics, Supply Chain, Survival Analysis, Stochastic Methods in Ecology, Finance and Engineering.