Community Wealth Building in Ontario’s Mid-Sized Cities

As we begin to emerge from a global pandemic, communities around the world are looking for strategies to promote economic recovery. We know that the pandemic has disproportionately impacted equity-deserving groups and that recovery strategies must be sustainable and work to advance equity and inclusion. Locally, Ontario cities and towns have begun to bring together […]

Read More
Application of protein fibers in plant-based meat analogues to improve mechanical and textural properties

Plenty of conclusive evidence points to the association of meat consumption with negative environmental outcomes resulting in climate change. These findings show the importance of reducing meat consumption and developing efficient strategies such as production of meat alternatives to alleviate the associated environmental and health issues. However, the production of plant-based meat analogues that can […]

Read More
Towards an understanding of women’s experiences on well-being in mining communities

Mining operations can have positive and negative impacts on local communities and there are no standardised ways to measure the overall impact of mining operations on community wellbeing. On the one hand, this is because corporate reporting on sustainability related issues is targeted towards investors and other financial stakeholders which are (overall) less concerned with […]

Read More
Innovation Management: Decision mapping in the production and management of Danby Appliances

Danby Appliances specializes in the design, production, and distribution of small appliances. With the intention of improving efficiency relating to their product development and product management processes, Danby Appliances has communicated adaptive decision making and mitigating supply chain management uncertainty as areas of significant interest. Utilizing qualitative methods, process mapping, and strategy charts, recommendations will […]

Read More
Assessment and Implementation of a new Club licensing and accreditation system

Across Canada, the amateur sport system continues to face mounting criticism and dissatisfaction with the traditional delivery of sport participation opportunities. As result, many young Canadian athletes are abandoning the sport system in favour of opportunities offered by private enterprises. Thus, the sport system has subsequently been fractured due to a decreasing number of participants, […]

Read More
The application and validation of predictive models to establish indices of protein quality in companion animal feed ingredients

This project will result in the generation of mathematical models that will predict the quality and sustainability of protein-based ingredients that are commonly used in dog diets. With the projected growth of human and pet populations, and increases in food production necessary to meet growing demands, providing Canadian pet food companies (such as our industry […]

Read More
Exploring Generation Alpha as Environmental Stewards

In recent years we’ve seen evidence of youth activism related to important social causes. Although much has been written about Millennials and Generation Z, little is known about the generation of young people who are currently at the precipice of adolescence – Generation Alpha (born 2010 and later). This generation will inherit the post-COVID society […]

Read More
Examining the impact of an in-hospital intervention on veterinary team coordination, employee mental health and commitment, and veterinary hospital business metrics

Prior to the COVID-19 pandemic, there were mounting concerns related to the mental health and wellbeing of veterinary professionals, resulting in an increased rate of employee turnover across the profession. The COVID-19 pandemic has exacerbated these concerns, calling for veterinary organizations, such as VCA Canada, to emphasize business practices that promote positive client, patient, and […]

Read More
Explainable Fuzzy Deep Neural Networks for Cyber Threat Attribution

Threat attribution is crucial to detect attacks as early as possible and understand how attacks will proceed and the likely scope. This project will propose an explainable fuzzy deep neural network for cyber threat attribution. We obtain transparency and explainability via extracting fuzzy rules from DNN for cyber threat attribution. Indeed, this model, via providing […]

Read More
Combining experiments, genomic tools, and an eco-evolutionary framework to understand the biotic basis of harmful algal blooms

Although evolution is considered a gradual process recent evidence suggests that adaptation can be rapid, particularly when there is genetic variation and selection is strong. Determining whether rapid evolution happens predictably in nature, both at the phenotypic and genomic levels, is crucial to understanding the origins and maintenance of biodiversity. Harmful algal blooms (HABs) pose […]

Read More