Healthcare innovation in Canada is an important priority of health systems. Innovation leads to adaptability of health services, a trait which allows them to maintain fidelity of care in the face of stress. The COVID-19 pandemic was a severe system stressor, which saw a diversity of responses across the Canadian health system. Understanding the strategies […]

This project is a community-based action research initiative focused on inclusive branding and communications. As the province has become much more diverse, many organizations are struggling to connect effectively with newcomers and other under-represented groups. The goal of the project is to help address that gap and disconnect by conducting research with a sample from […]

This project will help improve BenchBoss, a sports performance tracking app created by Breton Group, by moving it from an early prototype to a fully tested and reliable platform. The intern will research better ways to capture real-time performance data, build and validate easy-to-understand analytics dashboards, and test the app with youth coaches and parents […]

Peatlands, in spite of only occupying 3-6% of earth’s land surface, store about 30% of global soil carbon (C). This project will estimate the areal coverage of provincially significant peatlands and calculate their carbon storage. The results of this project will show the importance of peatlands in NL’s carbon storage and help NL’s provincial government […]

The project focuses on using novel method to maximize oil recovery. It is carried out through both experiment study in core scale and simulation research in field scale. The new knowledge that will be accrued will be the culmination of a truly collaborative approach. First and foremost, Canada and Newfoundland and Labrador will gain immensely […]

Labatt is transitioning customers from the current BEES ordering platform to the upgraded Canadian BEES App, which introduces new features and incentives, including improved navigation, personalized product suggestions, in-app promotions, BEES rewards, push notifications, and streamlined ordering workflows. While the enhanced app provides significant mutual benefits for both Labatt and its retail partners, customer adoption […]

The wind energy industry currently relies on a fragmented workflow involving multiple disconnected and expensive software tools for site assessment, energy calculations, and reporting. This inefficiency limits the number of sites developers can evaluate and creates a high barrier to entry for smaller developers and community projects. This project, titled WindChat, focuses on validating a […]

This project explores the use of GNSS reflectometry as a simple way to observe local sea conditions from the shoreline. The work focuses on understanding how signals from navigation satellites can be used to estimate changes in sea level and surface state without placing equipment in the water. During the internship we will study the […]

Title “Blue Beauty Innovation: Sustainable Seaweed Bioactives for Cosmetics and Skincare” This project explores the potential of using natural compounds extracted from sugar kelp (Saccharina latissima), a seaweed that grows abundantly in Atlantic Canada, as safe and effective ingredients for skincare and cosmetic products. Around the world, consumers and companies are looking for cleaner, more […]

Wildfires create serious threats to communities, infrastructure, and natural environments across Canada. Many regions face fires that grow faster and burn hotter due to climate change, dry conditions, and limited access to real-time information. Current tools often fail to provide timely or accurate understandings, especially in remote or northern areas where ground reports arrive late […]

Monitoring water quality is essential for protecting public health and the environment, yet many harmful pollutants remain difficult and expensive to detect. Among them, phenolic compounds commonly released from industrial activities are persistent, toxic, and often found in Canadian water systems at levels that require advanced laboratory testing. Unfortunately, current sample-preparation methods used to extract […]

Waste sorting today is inefficient and relatively expensive since current systems can’t achieve full autonomy. Our project introduces a practical solution that combines AI-powered vision-based object detection with low-cost robotic manipulators to automatically detect and sort waste streams in real time. This innovation reduces hardware and maintenance costs, minimizes the labor reliance, and greatly enhances […]