The Euler’s method and the Gillespie algorithm to simulate a stochastic SIR model (part 2) JC Loredo-Osti (MUN) The second part of this presentation will be used to talk about some example of extensions to the stochastic SIR model. We

Source Sink Diffusion Danielle Cox (MSVU) We will introduce the diffusion process on graphs with the addition of sources and sinks. In particular, we will provide some results regarding the periodicity of the process. This is joint work with Todd

The Oberwolfach Problem Andrea Burgess (UNB Saint John) The Oberwolfach Problem was posed by Ringel as a seating problem: $n$ people attend a conference in Oberwolfach, where the dining room has round tables of sizes $k_1, k_2, \ldots, k_t$ (with

Scenario-based modeling of healthcare demand and PPE usage during the COVID-19 pandemic One of the big risks during the current pandemic is stress and overburdening of the healthcare system, and a possible scarcity of resources. We will present a three

Number Theory in Quantum Mechanics Suresh Eswarathasan (Dalhousie | 8:00-8:20) In this lecture, I will discuss some concrete connections between two seemingly disparate fields: number theory and quantum mechanics. The first 10 minutes will be spent giving some “standard” facts

When the best pandemic models are the simplest As a pandemic of coronavirus spreads across the globe, people debate policies to mitigate its severity. Many complex, highly detailed models have been developed to help policy setters make better decisions. However,

Modelling correlated count data-can I delete the zeroes? Gary Sneddon (Mount Saint Vincent) Correlated count data with excess zeroes arise in a number of applications. We will discuss 3 motivating examples, and some approaches to modelling these type of data.

Tips and Tricks for Online Teaching Rebecca McKay (UNB Saint John) Many of us will be teaching with some online component in Fall 2020. In this brief talk, I will outline some tips and tricks for moving mathematics and statistics