Salt marshes are highly productive coastal ecosystems that have faced extensive impacts from human activities. They provide an extensive array of services including the provisioning of habitat to a diversity of species. In Maritime Canada, acres of salt marsh have been diked to accommodate agricultural land, freshwater impoundments, and infrastructure. Increasing recognition of the services […]

Statistical and harmonic analysis of 3-dimensional motions of objects or humans are instrumental to establish how these motions differ, depending on various influences. When such motions involve no tearing, they may be described by elements of the Euclidean Group. Algorithms developed in the author’s Ph.D. dissertation exploit the unique properties of Conformal Geometric Algebra to […]

B-Side Group is launching an operational excellence initiative aimed at significantly enhancing our firm’s scalability, efficiency, and client service quality. The primary objectives of this initiative include mapping and standardizing key workflows, developing automated tools and templates to streamline administrative processes, and establishing a centralized repository for firm-wide knowledge management. This project will deliver clear, […]

In accordance with the Digital Policy Hub research foci on artificial intelligence, as well as digitization, security and democracy, the underlying purpose of the project is to research the limitations of language translation technologies in order to suggest updated policy for international institutions to responsibly use them. This directly supports the Digital Policy Hub’s objective […]

Le Québec est confronté à une intensification des effets des changements climatiques, exacerbant les défis liés à l’itinérance, une crise amplifiée par l’escalade du coût de la vie et une crise du logement. Pour répondre à ces enjeux, le projet vise à vise à comprendre et à réduire les impacts des bouleversements climatiques sur les […]

This project aims to automate the early detection of pandemics by constructing knowledge graphs from open-source data, by providing direct enhancement to an important R&D project, the Health Emergency Monitoring (HEM) tool, of the partner organization. The research, when completed, will provide advanced AI capabilities (more specifically the incorporation of state-of-art LLM), and reduce the […]

Ultimarii is a software company that helps speed up environmental and regulatory approvals for major infrastructure projects by using artificial intelligence. This internship project will bring on a student researcher to study environmental and energy policies, analyze public data on approval processes, and create easy-to-understand reports and summaries. The intern’s work will directly support Ultimarii’s […]

Ce projet de recherche, réalisé en collaboration avec la Fédération canadienne de l’entreprise indépendante (FCEI), a pour but de mieux comprendre comment les petites et moyennes entreprises (PME) du Québec gèrent leur consommation d’énergie. Dans un contexte où les enjeux environnementaux prennent de plus en plus d’importance, il est essentiel d’identifier les pratiques actuelles des […]

Many new mothers face uncertainty and a lack of support when making decisions about how to feed their newborns, especially in the early postpartum period. While breastfeeding is widely recognized for its benefits—such as supporting infant immune health, cognitive development, and mother-baby bonding—access to consistent guidance can vary greatly. Studies show that mothers with access […]

Prairie Grants is a forward-thinking organization that simplifies the complex grant discovery and application process for Canadian start-ups. Despite the abundance of funding opportunities in Canada, many businesses struggle to access them due to limited awareness, difficulty identifying relevant programs, and inefficient, manual application procedures. Currently, Prairie Grants provides client support through manual grant matching […]

L’utilisation des données du monde réel (DMR) est un phénomène s’imposant désormais de manière grandissante dans la décision des agences réglementaires. En effet, les données sur l’efficacité, l’innocuité et l’utilisation de médicaments dans un contexte réel de soins de santé permettent d’offrir une meilleure vue d’ensemble aux agences pour une approbation (de surcroit, une accessibilité) […]

This project will develop Canada’s nationwide, open-source simulation model to predict both supply and demand for Personal Support Workers (PSWs), addressing a critical workforce shortage as Canada’s older adult population grows rapidly. Health Workforce Canada will create innovative modelling tools that allow healthcare decision-makers to test different policy scenarios and make evidence-based planning decisions for […]