Supporting adaptive grizzly bear population management in British Columbia using dietary profiles

Stable isotope analysis is an important tool for identifying the primary foods present in wildlife diets. This project will use stable isotopes, collected from approximately 1000 hair samples, to develop dietary profiles of grizzly bears in British Columbia, Canada. The dietary profiles, representing the proportion of meat, fish, other marine fods, and vegetation in an individual bear’s diet, will be used to understand how the availability and quality of different foods, topography, climate and human pressures combine to influence bear diet throughout the province.

Hidden Champions Businesses II: A Survey of Recent Theory and Empirical Evidence

This investigation will examine real-world potential Canadian hidden champions through a survey to gain further insight into what characteristics enable hidden champions to thrive. This survey will also expose a need for a more thorough case study (titled “A case study on Hidden Champions in North America, Europe and Asia) to examine the nuances of regional hidden champions and how they express themselves differently around the world.

Improving Competency-Based Medical Education through Technology

Competency-based medical education (CBME) is an approach to training that combines educational objectives and time-based learning. CBME is currently being rolled out in residency training programs across Canada and represents the biggest change in medical education since the early 1900s. This project aims to determine perspectives of current residents in CBME- and non-CBME-based residency training programs at Memorial University of Newfoundland.

Process study, simulation and optimization of direct conversion of biomass to ethyl evulinate

Increasing concerns about global warming related to greenhouse emission, and depletion of fossil fuel resources, bring biomass as a promising environmentally friendly and sustainable alternative to supply chemicals and fuels. One attractive option is the conversion of biomass obtained from recycling activities to high-value chemicals.

What does the extant literature and needs assessment determine is the most effective mentorship model for low SES Black children?

The purpose of this project is to support the effective planning, design, development, implementation, and maintenance of a new mentorship program through the YCMA of Greater Toronto serving Black youth in priority neighbourhoods in Toronto’s east end, namely the Galloway, Malvern and Dorset Park neighbourhoods in Scarborough.

The Next Generation Agriculture: Role of Functional Microbiome in Cannabis Breeding strategies against biotic stress

Plants including Cannabis host distinct beneficial microbial communities on and inside their tissues designated the plant microbiota from the moment that they are planted into the soil as seed. Understanding the microbial partnerships with Cannabis has the potential to affect agricultural practices by improving plant fitness and production yield of Cannabinoids. Much less is known about these beneficial Cannabis-microbe interactions, particularly,the role that Cannabis may play in supporting or enhancing them.

Risk Analysis of Affordable Housing Mortgage Models

Habitat for Humanity (H4H) Halton-Mississauga (HM) provides affordable housing to families in the Halton-Mississauga region. This research project examines the viability - from a financial, organizational risk and family impact point of view - of different mortgage models.

Laura Secord Campus Commons Material Deconstruction and Reuse

Willowbank Centre for Cultural Landscape will work with a University of Waterloo student to engage in an emerging process of building disassembly and material reuse. Demolishing a building and sending the debris to landfill sites is a huge loss of resources, energy, and historical value. This project becomes a prototype on how to reuse building materials in other contexts.

Advancing sustainable management of construction, renovation and demolition (CRD) waste

The waste generated from construction, renovation and demolition (CRD) activities accounts for around 27% of all waste generated in Canada. The large amount of CRD waste which could be prevented or recycled is sent to landfill without utilization, resulting in environmental problems and waste of resources. The aim of project is to provide the best management practices and policy recommendations for CRD waste management in Montreal West.

Reducing Training Data Requirements with Cognitive Cues

The aim of this project is to allow for Deep Learning approaches utilized by Eye For Infrastructure to rely less heavily on labelled training data as well as to produce more human-understandable and actionable results. The improved system would allow for a seamless integration with municipalities for automated infrastructure assessment.

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