AI Adoption Project for the NB Contact Centre Industry

The McKenna Institute and ContactNB are collaborating on an initiative to promote AI adoption and responsible use within New Brunswick’s contact centre industry, aiming to enhance productivity, competitiveness, and sustainability by supporting SMEs with AI integration, workforce training, academic collaboration, and attracting investment in the business services sector.

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Snowb^rd: A Programming Language for Teaching

In 1982, Holt and Cordy created Turing, a programming language for teaching at the University of Toronto. It followed best software design practices and had a huge impact on the quality of learning. At STaBL Foundation, we believe it is time to design a new programming language for teaching—Snowb^rd(TM)—to bring the leading edge of programming […]

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L2M Launch Atlantic Cohort / Development of an Intelligent Scribe for Medical Pre-Consultation

Family doctors in Canada are currently overwhelmed by administrative tasks, spending nearly half of their time on paperwork rather than patient care. This project focuses on the commercialization of Mavia, an AI-powered pre-consultation platform designed to reduce this burden. Mavia interacts with patients before their appointment to gather their medical history and symptoms, automatically generating […]

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Data-efficient Robot Learning from Human Demonstrations via Interaction Graph

The proposed research project aims to solve a critical challenge in robotics, the need of large amounts of training data, which is often costly and time-consuming to collect. Interaction graphs have shown impressive generalization capability by retargeting human motions to robots from just a single demonstration. However, the behaviors exhibited from existing frameworks leveraging interaction […]

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L2M – CareAssist

This project will develop CareAssist, a shared decision-making platform that helps specialty and subspecialty teams better understand what matters to patients and clearly explain treatment options and tradeoffs. Patients complete a short pre-visit questionnaire to capture their goals, preferences, and concerns, and clinicians receive an easy-to-read summary plus patient-friendly option comparisons that support a more […]

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L2M – Lokd Focus

Lokd Focus is a digital wellness platform that combines a mobile app with interactive physical hardware to eliminate phone distractions and improve student attention. The intern will engineer the frontend and backend technology and user experience required to deploy this system in shared institutional spaces, such as university libraries, allowing for enhanced study environments and […]

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Enhancing Educational Business Intelligence with Predictive Analytics and LLM-Driven Insights

This project aims to enhance the data analytics capabilities of an educational software company by upgrading its existing Business Intelligence (BI) system. Currently, the system mainly shows past trends, requiring educators to manually interpret data to spot issues like students at risk of failing. The research will integrate predictive machine learning models to forecast these […]

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Personalized gamification of educational software

By leveraging personalized gamification and persuasive technology, this project aims to improve motivation and engagement in introductory computer science (CS1) courses, which are often associated with low persistence and high dropout rates. A growing body of research shows that gamification, when grounded in motivational theory, can positively influence learner engagement; however, generic, one-size-fits-all approaches frequently […]

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Simulation à base d’agent pour l’acceptabilité sociale

Ce projet de recherche vise à modéliser et à simuler les dynamiques de l’acceptabilité sociale dans le secteur des ressources naturelles en utilisant la simulation à base d’agents. Face à la complexité croissante des interactions entre promoteurs industriels, législateurs et communautés locales, cette étude délaisse les approches statiques traditionnelles pour une analyse dynamique et comportementale. […]

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Une approche formelle pour détecter et corriger des incohérences opérationnelles dans les architectures microservices

La définition d’un niveau de service réalisable pour les systèmes d’information contemporains est une activité complexe. L’utilisation d’architectures logicielles granulaires, comme celle de microservices, demande une analyse locale et globale des capacités de chaque composante d’un système informatique. L’analyse manuelle des profils opérationnels de ces composantes par un expert humain rencontre des limitations cognitives. En […]

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Prédiction des interactions médicament–cible dans le paludisme à l’aide de réseaux de neurones sur graphes et d’apprentissage profond

Le paludisme, aussi appelé la malaria, est l’une des maladies infectieuses les plus meurtrières au monde. Elle est causée par le parasite protozoaire Plasmodium. Malgré les avancées significatives dans la compréhension de ce parasite, plusieurs enjeux persistent, notamment le développement de résistances aux traitements antipaludiques actuels. Cette problématique renforce l’urgence de découvrir de nouveaux composés […]

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Efficient Algorithms for Visualizing Signed Networks

Network visualization is a powerful tool for understanding complex relational data such as social networks, software dependencies, and transportation systems. Traditional visualization methods reveal communities or dense subnetworks, but often miss important details when networks include positive and negative influences or direction of flow, such as who influences whom on Twitter or how bugs spread […]

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