Simulation models based on traditional Susceptible-Infectious-Recovered (SIR) equations have been used to predict pandemic dynamics in recent years and are now being used to predict the spread of COVID-19 in the majority of countries worldwide. In this talk, Dr. Gabriel Wainer will discuss how researchers at Carleton University’s Advanced Real-Time Simulation Laboratory have developed new methods to define complex models – including the spread of diseases – using a space-based approach that: allows for the definition of models that can evolve with new data and research insight, provides mechanisms to combine models with the built environment (buildings, cities, transportation), and enables advanced visualization of disease models using graphical environments for improved decision making.
Presented by the Faculty of Engineering and Design, Carleton’s Ingenious Talks lecture series engages the community in discussions of timely and innovative ideas in engineering, design and technology.
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