This research project aims to investigate the role of social media in information warfare, focusing on Russian propaganda campaigns related to the war in Ukraine. By collecting and analyzing tweets, the project will identify narratives and strategies used in these campaigns. The data will be classified and employed to train a machine learning model capable […]

Multidisciplinary automated design-optimization (MDO) is a rapidly growing field of interest in sectors as diverse as architecture, engineering, science, and more. Often the computational cost of doing such optimization can be staggeringly high, requiring hundreds of computers connected through high-performance networks with complex custom designed software to support it. To address these problems, we propose […]

One Health is a collaborative approach between multiple stakeholders working together to manage large scale issues that impact humans, animals and the environment. This method has never been used with smaller scale, regional issues before. A new framework developed by the Canadian Animal Health Surveillance System (CAHSS) has the potential to adapt One Health principles […]

This project will develop computer-based decision support tools for portfolio constructions for retail investors. The tools will enable investors to access powerful quantitative frameworks for structuring investment portfolios as well as analysing existing portfolios in terms of risk and return. Typically, these tools have been only accessible to institutional investors or large financial institutions but […]

Peanut products are known to contain allergens capable of causing severe and life threatening allergic reactions. Classically, Ara h 1, Ara h 2, and Ara h 3 are considered to be the major peanut allergens, whereas Ara h 9 is the most prevalent allergen in Mediterranean countries. Current detection methods of peanut allergens are expensive […]

Imagine a world where youth with Intellectual and Developmental Disabilities (IDD) and mental health concerns can access tailored mental health services with ease. Collaborating with Sunnybrook Hospital, this research aims to make this a reality by addressing the challenges faced by transitional aged youth with IDD’s through a family focused navigation approach. Family Navigators are […]

GestureLogic is building a product that optimizes athletic performance. The product is a wearable sensory network that monitors muscle activity. The goal of this research is to take this inherently complex muscle data that is acquired by the sensory network and translate it to useful biometrics for the consumer with the help of intelligent algorithms. […]

Involving some of the smartest students in Ukraine, the research project and partnership will enrich the Master of Global Affairs and Master of Public Policy programs at the Munk School. KSE students will provide Munk community a window into the Ukrainian policymaking process as well as a more general understanding of governance during conflict. Simultaneously, […]

Many lessons from previous pandemics help to guide future outbreaks. This project reviews the avian influenza outbreak in Canada and applies some of the lessons learned to help mitigate the potential outbreaks of African swine fever and foot and mouth disease using a One Health approach.

The healthcare system in Canada and world-wide is suffering increased pressure due to an aging population and increased rates of chronic disease. Research shows that self-management and social networks are key indicators for reducing utilization and cost and improving outcomes of healthcare systems. Lifeguard Health Solutions Inc. has developed a mobile health application that uses […]

Engineers that design and enhance buildings widely rely on computer simulations to understand wind flows. Wind flows around buildings can affect human safety, comfort, structural safety, and the surrounding environment. Therefore, accurate and fast simulation of urban wind flows is critical to ensure safe, comfortable, and sustainable designs. If architectural engineers have access to a […]

Intent classification is a highly popular task within research communities and industries. Having a system that can classify intents of emails or messages from users can lead to a wide range of applications such as ticket routing and issue resolution. However, training such models require a large set of labeled data that might not be […]