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July 2021
AARMS COVID-19 Seminar: Cindy Feng (Dalhousie)
Spatial-Temporal Modeling of COVID-19 Mortality Risk in Toronto, Canada In this talk, a spatial-temporal model for modeling georeferenced COVID -19 mortality data in Toronto, Canada will be presented. A range of factors and spatial-temporal terms are incorporated into the model. The non-linear and interactive effects of the neighborhood-level factors, i.e., population density and average of income, are modeled as a two-dimensional spline smoother. The change of spatial pattern over time is modeled as a three-dimensional tensor product smoother. By fitting…
Find out more »AARMS Industrial Problem Solving Workshop 2021
The Atlantic Association for Research in the Mathematical Sciences (AARMS) will host its third Industrial Problem Solving Workshop (IPSW) in a purely online format from from July 26 to August 6 About IPSWs The main goals of an IPSW are to build connections between researchers in industry, non-profit organizations, and academia. Organizations based in Atlantic Canada and elsewhere present problems related to their interests, and participants will break into teams to explore solutions to these problems. The problems come from…
Find out more »AARMS COVID-19 Seminar: Lam Ho (Dalhousie)
Modelling the dynamics of COVID-19 epidemic Managing the COVID-19 pandemic has become the top priority since its inception in late 2019. Modelling the development of the epidemic is a crucial step for governments to make effective public health policies. In this talk, we will discuss some challenges of studying the dynamics of the COVID-19 epidemic as well as our recent ideas that cut directly to the heart of these challenges. More information about this seminar series. This is a virtual…
Find out more »August 2021
AARMS CRG Online Workshop on Financial Mathematics and Actuarial Science
The AARMS CRG Online Workshop on Financial Mathematics and Actuarial Science will be held August 6th, 2020 in PEI, Canada. This workshop is mainly hosted by the Atlantic Association for Research in Mathematical Sciences (AARMS) collaborative research group (CRG) and the School of Mathematical and Computational Sciences (SMCS) at University of Prince Edward Island (UPEI), Canada.
Find out more »17th Algorithms and Data Structures Symposium & 33rd Canadian Conference on Computational Geometry
This event consists of two co-located conferences over a four-day period. These two conferences are the 17th Algorithms and Data Structures Symposium (WADS) and the 33rd Canadian Conference on Computational Geometry (CCCG). WADS is intended as a forum for researchers in the area of design and analysis of algorithms and data structures. We invite submissions of papers presenting original research on the theory and application of algorithms and data structures in all areas, including combinatorics, computational geometry, databases, graphics, and…
Find out more »AARMS COVID-19 Seminar: Jane Heffernan (York)
Modelling immunity against SARS-CoV-2 from infection and vaccination: The Atlantic Bubble We have developed a mathematical model model of COVID-19 in the population. The model is stratified over 5-year age groups, and by immunity status. We track mild, moderate, and severe infections by age, as well as vaccination uptake. The model is fit to COVID-19 case data, and produces estimates of immunity distributions for each age group, from infection and vaccination. In this talk I will provide a overview of…
Find out more »September 2021
AARMS COVID-19 Seminar: Theodore Kolokolnikov (Dalhousie)
Modelling of disease spread through heterogeneous population We present a simple model of disease spread that incorporates spatial variability in population density. Starting from first principles, we derive a novel PDE with state-dependent diffusion. Consistent with observations, this model exhibits higher infection rates in the areas of higher population density. The model also exhibits an infection wave whose speed varies with population density. In addition, we demonstrate the possibility of super-diffusive propagation of infection, whereby an infection can "jump" across…
Find out more »Atlantic Algebra Centre Minicourse: Introduction to Schubert calculus via (nil-)Hecke algebras
Professor Kirill Zaynullin (University of Ottawa) From September 20 to September 23, 2021, Professor Kirill Zaynullin from the University of Ottawa will give an introductory mini- course on nil-Hecke algebras and their applications in cohomology. The mini-course will consist of four lectures and will give a self-contained exposition on the use of the techniques of nil-Hecke algebras in the equivariant Schubert calculus for cohomology of flag varieties. The first part will discuss root datum and Coxeter groups (Lectures 1-2): definition…
Find out more »October 2021
Atlantic Graph Theory Seminar: Anthony Bonato (Ryerson University)
In pursuit-evasion games, a set of pursuers attempts to locate, eliminate, or contain an evader in a network. The rules, specified from the outset, greatly determine the difficulty of the questions posed above. For example, the evader may be visible, but the pursuers may have limited movement speed, only moving to nearby vertices adjacent to them. Central to pursuit-evasion games is the idea of optimizing certain parameters, whether they are the search number, burning number, or localization number, for example.…
Find out more »Atlantic Graph Theory Seminar: Danny Dyer (Memorial University)
Title: The basics of the deduction game Abstract: The deduction game is a new variant of the classical chasers and runners game where the chasers are trying to catch an invisible runner quickly, but with no communication possible between chasers on different vertices. Instead, chasers may deduce where their fellow chasers *must* move, and make corresponding adjustments to their own movements. The goal is to use as few chasers as possible, and in some cases that number is quite high. We…
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