This research project aims to explore how civil society organizations in Metro Vancouver might devise Community Land Trusts that allow their property interests to intersect with their social mission. Metro Vancouver Alliance, a broad-based community organizing alliance of faith, labour, community, and education sectors, previously conducted listening campaigns identifying reconciliation and affordable housing as common […]

MatchWork enables non-profit employment support organizations to support marginalized people to find meaningful employment opportunities. This includes people with physical and mental challenges, veterans, new immigrants and refugees.

Across Canada, many families struggle to find high quality, affordable child care. Most child care options for families are limited to daytime and weekday work hours; this creates even greater challenges for shiftworkers who rely on paid child care. When child care is not available, mothers usually bear the greatest burden as many women, whether […]

The 21st century has witnessed an increased prevalence of men and women removing unwanted body hair for cosmetic, social, cultural, or medical reasons. When not done properly, the removal of unwanted hair can lead to injuries to the skin and can cause ingrown hairs, also known as razor bumps. The prevention of ingrown hairs is […]

Bank Swallows (Riparia riparia), a threatened species in Ontario, breed primarily in either banks at lakeshores or at exposed surfaces in man-made aggregate pits that occur with and without waterbodies. Pits are suspected to be ecological traps for this species but the relative trade-offs in nesting at pits vs. natural sites are poorly known. Availability […]

Infections acquired through long-term catheter use are a major problem for nearly 20% of all patients. This project seeks to apply Econous Systems’ anti-fouling MEG-OH coating to biomedical plastic catheters to see if they prevent the 3 most common microbes: E. coli, C. Albicans and S. Aureus, f rom growing. This will initially involve in […]

Postmates has a successful software business in numerous cities in the short-distance package delivery business, matching the vendor (for example, a restaurant, shop or other retail business) with the recipient of a package (for example, groceries, a hot meal, or an envelope), and then contracting with individual couriers (in cars, bikes or on foot) in […]

The recent advances in machine learning based on deep neural networks, coupled with the availability of phenomenal storage capacity, are transforming the industrial landscape. However, these novel machine learning approaches are known to be data hungry, as they need to tune a huge number of parameters in order to perform well. As more and more […]

Machine learning approaches are transforming fields such as finance, healthcare, electronic commerce, social networks, and natural disaster forecasting. We propose collaborative research that develops novel methods and applications of machine learning techniques for event prediction, modeling relations between entities, and inference techniques that can impact these domains. In the context of event prediction, we will […]

This project involves the synthesis, characterization and evaluation of new low-molecular weight gelators for cleaning up oil spills. First responders to oil spills can add these gelators to the oil / water mixture to prevent spreading of the oil before additional resources are available to clean up the spill. This project will involve collaboration with […]

Histopathology is the study and examination of tissue slides under magnification and is the definitive diagnosis for many diseases including cancer. With the advent of whole-slide scanners and image management software systems, computational pathology tools can be created to measure disease in an efficient and objective manner. This is in contrast to the labourious and […]

At this juncture, much data on tourism in Kingston has been collected. However, no appropriate statistical method and analysis has been implemented yet to understand these data. The current project thus aims to create a benchmark for tourism data for Kingston by adopting various modelling techniques (e.g., Hierarchical Linear Modelling (Gelman, 2007), Multilevel Modeling (Green […]