Due to the complex nature of a concussion recovery trajectories, rehabilitation must be tailored to the individual athlete. In high performance sport, athletes have access to world-class integrated support teams (IST) to guide concussion recovery. However, there are often barriers met, including decentralization from the team and/or travel throughout the competition year. In addition, there […]

Respiratory diseases caused by viruses that are frequently evolving have placed significant strains on Canadian healthcare systems. Traditional methods of diagnostics can detect the presence of viruses in clinical specimens but do not always distinguish them at the variant level. Next Generation Sequencing (NGS) is a high throughput technique that is used to determine the […]

The Downsview redevelopment is one of the most significant projects to occur in the history of Toronto, led by Northcrest Developments (Northcrest). Northcrest is wholly owned by the Public Sector Pension Investment Board (PSP Investments), one of Canada’s largest pension fund managers. The goal is that over the next 30 years, the 370-acre Downsview Airport […]

Newly available technologies for 3D fabrication — notably hobbyist 3D printers — are widening the user base for 3D design software. Autodesk, currently the industry leader in 3D design software, is broadening the scope of their activities, seeking to reach amateur users and to encourage their use of Autodesk software solutions. One of the most […]

This project is associated to the creation of a circular economy around styrene-based plastics such as polystyrene, acrylonitrile-styrene copolymer (SAN) and ABS (acrylonitrile-butadiene-styrene) terpolymer. Polystyvert has developed a technology that transform ABS post-consumer materials that come from electronics, car parts, toys ect. in a recycled SAN (rSAN) of high purity. This solvent-based technology is green […]

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 […]

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 […]

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 […]

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, […]

Canada’s rapidly ageing population has drawn attention to the housing and care needs of older adults. Supporting older Canadians to age in the right place will require innovative housing models and infrastructure that can support their independence, safety, health and social well- being. One such model is Naturally Occurring Retirement Communities (NORCs), which integrate health, […]

This project will investigate machine learning methods to organize and discover the vast literature on biomedical science. First, it will focus on named entity recognition–the task of finding and classifying entities in text documents–on large collections of abstracts and full-text of research papers and investigate semi-supervised learning methods to leverage large collections of unlabeled research […]

When workers experience poor mental health, it has significant costs for both individuals and the economy. It affects their overall well-being, income, and productivity (e.g., sickness absences). Workers with poor mental health need access to adequate mental health services. Thus, this study examines the impact of seeing a psychologist or social worker for mental health […]