The purpose of this research is to understand the role that community sport programming plays in enhancing northern and urban youth physical and mental health as sport returns from COVID-19 restrictions. Specifically, the research will longitudinally track changes to social identity, mental health, and physical activity among 300 children and youth (6-14 years old). The […]

For children with disabilities, receiving therapy services is important to supporting development and participation. In Ontario, publicly-funded children’s rehabilitation services are offered through organizations called Children’s Treatment Centres (CTCs). Prior to the COVID-19 pandemic, appointments at CTCs primarily occurred face-to-face. COVID-19 restrictions meant that CTCs had to pivot and offer services remotely using telerehabilitation technologies. […]

The mining sector is vital to the Canadian economy, contributing $71B towards the GDP and providing 392,000 jobs. Canada is the 4th and 8th largest global producer of refined zinc and lead, respectively, and as one of the world’s largest zinc and lead refining facilities, Teck Resources’ operation in Trail, BC, is an important part […]

This project will examine the effects of a topical magnesium gel on exercise recovery. Eccentric exercise, including downhill running, is known to cause muscle damage, soreness, and inflammation. Oral magnesium supplements have been shown to protect against some of the muscle damage and soreness. Petra has developed a topical magnesium gel that they believe will […]

Yooreka is a smart-home, consumer Internet of Things (IoT) device and/or peripheral, system agent and subscription service intended to assist families and parents with early childhood development. It may use Artificial Intelligence (AI) I to gain an advanced understanding of a child’s learning environment to support their socio-emotional development, and assists parents’ decision making while […]

This research project will engage 10-20 participants from community-based food initiatives across Waterloo-Wellington region to explore how groups access land to grow food. Access to land within urban environments is important for urban Indigenous peoples whose relationships with land have been disrupted by colonization. Indigenous Peoples honour relationships and responsibilities to land, which stands in […]

Quantum networks will enhance the security of communication and link quantum computers together to solve certain problems that are not possible with present day computers. To realize practical applications with a quantum advantage, thousands of photons must be controlled, and entanglement utilized to distribute quantum bits across the network. In this project, we will develop […]

The goal of this project is to investigate how a new online digital technology, Maple Learn, can contribute to contemporary mathematics curricula internationally. New curricula in mathematics emphasize broad skills that cut across all mathematics domains. In other words, instead of focusing of formulas and procedures, contemporary mathematics curricula promote similarities across domains (such as […]

The objective of this GRA is to recreate high mobility debris flows in the laboratory to create the novel observations of landslide shear behaviour during flow needed to further refine predictive models of landslide mobility. Specifically, this collaboration is aimed to unlock the synergy between advanced sensor technologies developed by the team at the Technion […]

Advanced energy storage plays a critical role in addressing climate change and increasing the high penetration of renewable energy sources such as wind and solar. Among energy storage systems, lithium-ion batteries are the most electrifying and sustainable. These technologies’ functional constraints, prices, and safety all have an impact on the acceptability of large-scale battery storage […]

There is recently a trend of applying computer vision for interpreting the inspection images or videos of pips automatically. In recent years, deep learning has obtained promising performance in various computer vision tasks such as image classification and object detection. Compared with conventional computer vision techniques, approaches based on deep learning are capable of extracting […]

The frost deterioration caused by freeze-thaw cycles (FTC) is of great concern in masonry buildings due to its detrimental effect on durability and long-term seismic performance. Recent findings reveal a substantial reduction in mechanical properties of masonry (e.g., compressive strength) when exposed to FTC. This material damage weakens the seismic capacity of masonry walls, increasing […]