Running speed is one of the most sought after abilities in sport with many coaches and athletes looking to improve it. This project aims to determine the effectiveness of overspeed training, a method used to make athletes run faster than they could on their own to improve speed. Little is known about how well this […]

In 1982, Holt and Cordy created Turing, a programming language for teaching at the University of Toronto. It followed best software design practices and had a huge impact on the quality of learning. At STaBL Foundation, we believe it is time to design a new programming language for teaching—Snowb^rd(TM)—to bring the leading edge of programming […]

This project focuses on the development of a method for the direct analysis of solid samples by laser ablation, which is greatly advantageous over methods requiring sample dissolution. It involves minimal sample preparation and eliminates acids and other reagents required for dissolution, thereby making it a greener method of analysis. However, because ablated solid materials […]

HIV-1 persists in people on antiretroviral therapy (ART) because the virus can hide in long-lived immune cells, forming a latent reservoir. These hidden viruses can reactivate if treatment stops, making HIV difficult to cure. Efforts to reverse latency aim to “wake up” these silent viruses so the immune system or drugs can eliminate them, but […]

This project will investigate how coaches make selection decisions in sport, combining youth athlete testing results with the intuition and experience coaches bring to their decisions. We will use retrospective testing data from athletes whose career outcomes are already known, allowing us to evaluate how accurately coaches predict future success and which factors, e.g., speed, […]

This project aims to facilitate expanded reporting of student mental health and well-being data to various schools within Ontario. Such innovative reports would take the form of infographics that would provide school leaders with prevalence estimates based on the responses of participating students from their school alongside estimates for the entire province. Such reports are […]

This project examines how customer support staff use generative AI tools that suggest responses during live service interactions, and how responsibility for what is ultimately said remains with human workers. Focusing on customer support operations in Japan, the study looks at how agents decide whether to accept, modify, or reject AI-generated suggestions when handling real […]

Many reports have established a correlation between obesity and diabetes plus cardiovascular complications with the amount of a hormone in the body called adiponectin. Interestingly, the amount of adiponectin circulating in the blood decreases in obese and diabetic individuals. The precise reasons why changes in adiponectin cause diabetes and its complications remain to be determined. […]

This project aims to enhance the data analytics capabilities of an educational software company by upgrading its existing Business Intelligence (BI) system. Currently, the system mainly shows past trends, requiring educators to manually interpret data to spot issues like students at risk of failing. The research will integrate predictive machine learning models to forecast these […]

As Canada’s population ages, many seniors face long wait times for healthcare and increasing social isolation. This project develops a voice-activated AI companion that acts like a caring friend, checking in daily on seniors living alone. Unlike current smart speakers that only respond when asked, this system proactively starts conversations to monitor mood, provides personalized […]

This project brings together a multi-institutional collaboration among the University of Toronto (Canada), the Technical University of Munich (Germany), and the Université de Paris Cité (France) to investigate the role of reactive hydrogenation intermediates in the catalytic hydrodeoxygenation of lignin-derived phenolic compounds. Understanding these intermediates is critical for advancing sustainable catalytic pathways for biomass valorization. […]

This project will use health data from the University of Pittsburgh Medical Center (UPMC) to identify neighborhoods where prostate cancer deaths are higher than expected and to examine whether men in these areas are less likely to receive PSA screening. By combining mapping tools and statistical analysis, the project will help pinpoint communities that may […]