The City of Vancouver’s Integrated Rainwater Management Plan and Rain City Strategy provides rainwater management targets and design standards for public spaces (streets, public spaces, parks) and private spaces (private property, City-owned property) in the City of Vancouver. To reach these targets, the City has adopted several Green Rainwater Infrastructure (GRI) approaches to achieve the […]

Noise affects everyone, and our cities try to limit noise impacts through effective policy. We focus on the issue of night noise, where the needs of different people can vary widely between wanting quiet for sleeping and for the great nightlife that cities are known for. This collaboration between the City of Montreal and the […]

The need for food (26.6% increase since the year 2000 according to Statistics Canada 2016) and the cost of energy are increasing rapidly as the world population continues to grow exponentially. Moreover, world-wide demand for fresh water is rapidly increasing while supply is very limited. Agriculture uses 70% of the global fresh water supply as […]

This project is designed to characterize the effect of flocculant addition to mine tailings for the reduction of mine dust dispersion. Mine dust prevention is of importance for mine management as well as to reduce the possible dispersion of dust to nearby urban centers like Timmins and Porcupine Lake. To assess the effect of flocculation, […]

The Town of Happy Valley – Goose Bay is located in the central part of Labrador on the coast of Lake Melville and Churchill River and as such it plays a significant role in the area as a place of employment, education sectors, healthcare facilities, shopping, municipal services and healthcare facilities. With a population of […]

Zanidatamab is an antibody being evaluated in clinical trials to treat breast cancer, biliary tract cancer and gastroesophageal adenocarcinomas linked to the overabundance of a protein known as HER2. Zanidatamab was developed to bind to two copies of HER2 in tandem instead of one, increasing its binding affinity and improving its inhibition of HER2 tumor-promoting […]

The impact of COVID-19 on the mental health of women is currently unknown in Yukon Territory. Women have experienced unemployment, domestic violence and greater caregiving responsibilities because of COVID-19. It is important to support women’s mental health during the pandemic. Therapeutic Recreation is a healthcare profession that uses leisure and recreation to improve health and […]

The focus of this project will be how modern technologies, specifically static and mobile laser scanners, drone photogrammetry, and Virtual Reality (VR) can be applied to solve issues related to renovating and utilizing (repurposing) old buildings. This is a multi-disciplinary approach with college interns from Geomatics Engineering and Architecture Engineering programs.

Informal learning involves acquiring knowledge outside of a structured setting in which learning is self-directed and developed from experience, exposure, and interactions with their environments (Nelson et al., 2006). Examples of informal coach learning includes experience as an athlete, coach observation, self-reflection, reading books, exploring the internet, and learning from experts or mentors in the […]

The availability and reliability of public transit has been a long standing equity issue for residents living in rural communities. This issue significantly impacts those who have lower incomes, the elderly, children, and people with disabilities. Access to of consistent and secure funding has been the main factor challenging the sustainability of rural transit. This […]

This research project is part of a broader initiative to establish an “Innovation Nexus on Social Inclusion”, a center for collaborative action-oriented learning to initiate and evaluate innovative strategies for social inclusion. It is being hosted by Mennonite Central Committee (MCC) Ontario in partnership with the Centre for Community Based Research (CCBR) and Conrad Grebel […]

Deep learning in medical imaging analysis has revolutionized the field in areas such as computer-aided detection and segmentation of clinical abnormalities. Several studies have been published on lung cancer screening using deep learning methodologies. Specific to lung cancer screening, algorithms have been trained to automatically detect and diagnose lesions in the lungs in low dose […]