Diagnostic du cycle de l’eau et sources de contamination en contexte de forçage anthropique extrême : cas du ruisseau Rousse, Québec

Les ressources en eau subissent des pressions croissantes mondialement en raison du changement climatique, de l’agriculture intensive et de la croissance démographique. D’ici 2050, la majorité des bassins versants pourraient être en situation critique et il devient crucial de développer des outils pour en faire le diagnostic. Dans les Basses-Laurentides, le bassin du Ruisseau Rousse […]

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Stage en Design UX/UI – Système produits et « funnel » marketing

Le projet contribuera à actualiser et simplifier le système produit sur le site web de Carverinno Conseil pour le rendre plus intuitif et accessible, en intégrant son système à un plan marketing stratégique axé sur les formations en Design Thinking (ACTIVER), les sprints de stratégie (ORIENTER) et le UX Design Sprint optimisé à l’IA (ACCÉLÉRER). […]

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Organizational Factors in Resource Constrained Organizations

This research project aims to understand what key organizational factors are necessary to manage change in resource constrained organizations (RCOs) to enhance organizational survivability. RCOs include small businesses and not for profit organizations that have limited resources such as time or money to manage continuous change. The findings in this research will assist 1743231 Alberta […]

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Neurophysiological AI models for training of public safety officers under high stress and mental load

Psychological stress could be an important indicator of comfort with a task, particularly for training in safety-critical fields such as public safety. Continuous stress monitoring emerges as a valuable tool for improving and individualizing training, offering instructors a more comprehensive understanding of each student’s overall task comfort and enabling timely interventions based on stress levels […]

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Transductive open-vocabulary segmentation

Modern deep neural networks have demonstrated remarkable performance across various visual recognition tasks, including image classification and semantic segmentation. The effectiveness of these networks largely relies on having abundant labeled examples for each desired category. Acquiring such datasets, however, poses particular challenges in the context of semantic segmentation, where a label is required for each […]

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Enhancing economic outcomes for Albertans through data-driven insights.

The Alberta Chambers of Commerce (ACC) is actively leading the transformative Hire by Referral project, aligning with our commitment to support Alberta’s business community. Representing a network of 100+ local chambers and over 20,000 businesses, our primary focus is to enhance successful hiring and retention practices for diverse job seekers. Dedicated to supporting Albertans in […]

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Culture Index Validation and Relationship Analysis: Enhancing Organizational Culture Assessment

This project, a collaborative effort between Saint Mary’s University and Wise Leadership Inc., seeks to address the pressing need for a more evidence-based approach to measuring workplace culture, especially in a post-COVID environment. Wise Leadership Inc., committed to enhancing organizational culture and leadership, faces the challenge of refining their tools and methods for more accurate […]

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Détection d’objets dans des images grand-angle

La detection d’objets est une tache complexe en vision par ordinateur car elle vise a la fois a etablir la localisation et la classification d’objets dans une image. Cette tache devient plus difficile lorsqu’elle est etudiee sur des images capturees par des cameras munies de lentilles « grand-angle ». Ces lentilles offrent des champs de […]

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Thales : Évaluation et explication des LLM (Large Language Model) : comment transférer le jugement d’experts dans un LLM évaluateur

Les architectures et techniques d’apprentissage qui ont mené à la création des Large Language Models (LLM) sont la cause de leur succès et de leurs défauts. En effet, ils sont surprenamment performants, apprenants et faciles à utiliser, mais leurs erreurs sont très difficiles à expliquer et contrôler. Étant donné que le développement actuel et futur […]

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Reconstruction de la communauté de poissons dans les lacs prioritaires du parc national du Mont-Tremblant à l’aide de la paléolimnologie

Au cours des dernières années, le Parc National du Mont Tremblant (PNMT) se questionne sur le caractère domestique et indigène de certaines communautés de poissons dans ses lacs prioritaires, particulièrement pour les lacs à omble de fontaine (Salvelinus fontinalis) et touladi (Salvelinus namaycush). L’impact humain sur les communautés de poissons semble important (ensemencements, contamination des […]

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The New Economy: Empowering Business Through Organizational Thinking

Due to consumer demand for social and environmental responsibility, accountability and transparency, businesses are looking to redefine stakeholder value as more than just financial returns. This paradigm shift in business allows for progressive organizational thinking and the adopting of alternative forms of business organization that embed principles of corporate social responsibility. The proposed research will […]

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Dreamcatcher Informatics: a Web-based and Mobile Information System to Support Land Management, Consultation, and the Preservation of History, Culture and Traditional Ecological Knowledge

The role of this internship is to assist in reaching the SSHRC goal for theDreamcatcher system of capturing cultural data, traditional ecological knowledge, and traditional land use in order to create as full of a historical, cultural, and economic record as is possible as well as strong land use management/consultation, water management, asset management, and […]

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