Development of Stable and Sustainable Saffron Extracts for Commercialization

Saffron (Crocus sativus) is considered the most expensive spice in the world, costing between $500 and $5000 USD per pound. It is one of the most highly regarded and highest value botanical plants in the world and is a recognized natural health product. It is traditionally used for different health conditions, including sexual dysfunction, depression […]

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Understanding Question Difficulty and Student Ability in Mathematics Assessments

Education software is abundant on the web, but few support the analysis of students’ performance and test difficulty over user-defined questions and learning objectives. The idea of this project is to create a computer program to provide educators with insights on student performance on assessment items and perceived and actual assessment item difficulty within fine-grained […]

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Designing for better novice assembly: towards energy efficient novice building

This research is about technologies for ‘DIY’ or ‘novice’ home-construction. The research asks if high energy efficiency homes could be built by novice and non-expert builders. Energy efficient construction is an increasingly expert craft: with specialized knowledge, tools, and practices now required to achieve excellent building energy performance, this presents barriers to building efficiency for […]

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Preserving Affordable Rental Housing: Tenant Opportunity to Purchase, Housing Cooperatives, and Land Trusts

Housing is becoming increasingly unaffordable in Canadian cities and tenants are struggling. Financialized landlords and other investment companies are depleting the affordable rental stock in the private market much faster than new social rental units are being created. One solution is for tenants to have the opportunity to collectively purchase their own buildings when landlords […]

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Access and Equity for LGBTQ2S+ Businesses in Canada

The Diversity Institute (DI) aims to work in partnership with CGLCC to identify barriers for entrepreneurship in the LGBTQ2S+ community and drive inclusive innovation in the Canadian business ecosystem. Through in-depth interviews with LGBTQ2S+ business owners across Canada, recruited through CGLCC’s supplier network and diverse partners, the project aims to fill the gap in available […]

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Building a safe, welcoming, and inclusive environment for Para sport athletes

Rates of participation in sport among Canadians with a disability are low. Children, youth, and adults with a disability are missing out on the social and physical benefits of sport. Lack of programming is a significant barrier to participation. The proposed projects aim to address this barrier. Through a systematic program of research, we will […]

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Applying Generative Design to Complete Community Planning

Applying Generative Design to Complete Community Planning brings together growing computational practices in generative design with the urban design challenge of planning and building complete communities using urban data analysis. The concept of complete communities is in part inspired by new urbanism which focuses on human and environmental needs. Transportation modes within a community and […]

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Derisking GNSS use in the design of a train autonomy system

Thales Canada, Transportation Solutions has a long history of developing automated train systems. The company has designed a new autonomous train system that contains a Global Navigation Satellite System (GNSS), e.g., GPS, sensor input using corrected GNSS measurements. Thales and York University’s GNSS Laboratory are proposing in this Mitacs Accelerate proposal that one senior doctoral […]

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Developing metal nanoparticle surfaces and the combination of polyionic liquids with nanoparticles as antimicrobial coatings

SARS-CoV-2 has emphasized the need for antimicrobial defenses in our environment. We need to minimize the risk of microbe transfer between people via touching a common surface. This project, led by the University of Windsor and Ontario coatings companies Tessonics and ONTech Rapid Coatings, combines three different strategies to develop a persistent antiviral coating that […]

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Automated Assessment of Forest Fire Hazards

The proposed project is to develop a Deep Reinforcement Learning (DRL) model capable of using Light Detection and Ranging (LiDAR) data to automatically analyze whether there is a risk of forest fire due to vegetation management around electric equipment. The model automatically classifies points in a LiDAR scan to determine whether there is direct contact […]

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