Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Mise en valeur de Place Royale

En collaboration avec le Centre du Patrimoine Urbain de Québec (CPUQ), Avec Architectes et l’Université Laval, le projet s’engage dans la production de dessins architecturaux et des modélisations de la transformation de Place Royale, depuis la période autochtone jusqu’à aujourd’hui. 9 sites ont été sélectionnées par le CPUQ et à chacune une modélisation permet de présenter les lieux à 6 moments clés; 1. avant 1608, 2. 1608-1680, 3. 1680-1759, 4. 1759-1815, 5. 1815-1900, 6. 1900-1950, le présent étant observable sur place. Les dessins architecturaux permettent de concevoir les modélisations qui seront intégrées à une tablette prêtée au public participant à un jeu de découverte du secteur de Place Royale. Les dessins s’appuient sur les recherches historiques, les rapports d’archéologues, les archives du projet Place Royale (BAnQ), de la Ville de Québec et Parcs Canada (Maquette Duberger 1815).
Ce travail de reconstitution inclut une dimension urbaine et paysagère avec l’évolution du site, dont le remblayage du fleuve et la modification de la falaise, la présentation de la transformation de l’architecture, avec le nombre d’étages, les systèmes constructifs et les usages, et les aménagements intérieurs, en particulier des lieux disparus tel le Palais de l’Intendant, siège de la CPUQ. La modification de la topographie entre le remblayage du littoral et le niveau des rues constituent des aspects clés de l’urbanisation face au site naturel occupée de manière saisonnière par les premières nations, expliquant d’ailleurs le choix de Champlain.

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Faculty Supervisor:

François Dufaux

Student:

Partner:

Avec Architectes

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Université Laval

Program:

Business Strategy Internship

Development of an App-based Screening Tool for Earlier Detection of Acromegaly

Acromegaly is a disease caused by a tumour in the brain that leads to coarsening and enlargement of features of the face, hands, and feet, as well as a host of diseases including diabetes, hypertension, arthritis, and sleep apnea, that lead to disfigurement, poor quality of life and premature death. If caught in early stages, it is curable, but patients often go undiagnosed or are diagnosed late when the tumour has invaded the surrounding tissue, meaning that disease will persist, despite expensive surgery, medical therapy, and radiation. Our research group has been developing an artificial intelligence (AI) tool to identify the earliest changes caused by the disease and recommend patients that are identified as high-risk to seek further medical testing. To support the use of this AI tool on a simple, accessible, and easy-to-use platform, our research group is developing a web and/or smartphone application that can be used by patients, clinicians, and other stakeholders to screen for Acromegaly.
This Mitacs-supported project will elucidate the functions, features, and user flows that make for an intuitive and appealing Acromegaly screening app. These outcomes will be derived from literature review, stakeholder interviews, and end-user surveys, and help to guide the design of app wireframes and eventually high-fidelity end-user tested prototypes. Taken together, this project will facilitate the development of an accessible, user-friendly, and ground-breaking screening tool to detect Acromegaly earlier and reduce the burden of the disease.

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Faculty Supervisor:

Alexis Morris

Student:

Partner:

St. Michael's Hospital (Unity Health)

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology

University:

Ontario College of Art & Design University

Program:

Business Strategy Internship

Un nouveau rôle pour la finance dans les secteurs réglementés

Le projet consiste à adapter un outil informatique de modélisation financière servant à l’aide à la prise de décision créé par Solutions Modex afin qu’il puisse connaître un nouveau rôle; soit de servir d’outil de transparence pour l’aide à la négociation des entreprises réglementés lors de la soumission d’un projet d’investissement à leur régulateur. Il s’agira d’évaluer s’il existe un impact significatif de la réglementation, soit de la décision finale du régulateur sur les projets. L’exemple d’Hydro-Québec sera utilisé pour démontrer s’il y a un impact de la décision de la Régie sur le prix de l’énergie. Finalement, des recommandations sur la présentation des résultats obtenus à l’aide de l’outil de Solutions Modex (InfraModex) seront faites dans le but d’atteindre l’objectif : qu’il soit un outil de transparence et d’aide à la négociation.

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Faculty Supervisor:

Marc André Lapointe

Student:

Partner:

Solutions Modex

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Transformer la gestion de projet en environnement complexe : le cas du développement de produits chez BRP

Ce projet, mené en collaboration avec Bombardier Produits Récréatifs (BRP), vise à optimiser le design organisationnel de son Centre de développement de produits afin de mieux répondre aux défis d’un environnement volatil, complexe et ambiguë. En s’appuyant sur une démarche de recherche-action, il évaluera la maturité des pratiques de gestion de projets, puis proposera et mettra en œuvre des recommandations concrètes pour améliorer l’alignement entre stratégie, structure et opérations. Le projet contribuera à renforcer l’agilité organisationnelle de BRP, tout en générant des connaissances transférables sur la gestion organisationnelle de projets complexes dans des contextes industriels en transformation.

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Faculty Supervisor:

Alejandro Romero-Torres

Student:

Partner:

Bombardier Produits Recreatifs

Discipline:

Sociology

Sector:

Manufacturing

University:

Université du Québec à Montréal

Program:

Accelerate

Using Machine Learning Software (Deep Anatomical Federated Network) to Analyze Magnetic Resonance Imaging (MRI) Sequences of Anatomical Structures

We aim to enhance AI learning of MR images by providing scans of the pectoralis major, deltoid, and gluteus maximus from young healthy adults to Deep Anatomical Federated Network (DAFNE). DAFNE is a decentralized AI software that improves over time through user refinement. Machine Learning (ML) models enable faster automated analysis, distinguishing anatomical structures and abnormalities.
Currently, DAFNE has not analyzed the muscle groups our research will provide. Training ML models for MR scans offers Built With Science (BWS) an effective tool for segmenting muscle boundaries, helping assess the impact of training interventions on muscle size and shape. This supports BWS in communicating the latest evidence on improving body composition.
By contributing images and refining models, we enhance DAFNE’s efficiency for future users. BWS can continue supplying MR scans, improving DAFNE while benefiting from its evolving capabilities. Our MR scans will be conducted at the UBC MRI Research Facility, University of British Columbia, Vancouver, Canada.

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Faculty Supervisor:

Cameron Mitchell

Student:

Partner:

J. Ethier Holdings Corp

Discipline:

Life Sciences

Sector:

Education

University:

The University of British Columbia

Program:

Accelerate

High-throughput selection of monoclonal antibodies against GPCRs using a microfluidic single cell screening platform – Year two

Antibodies are biomolecules naturally produced by immune cells, called antibody-secreting cells, to protect against
infection and diseases. Each antibody-secreting cell makes a unique type of antibody that binds specifically to a target molecule. A major challenge in developing antibody therapeutics is selecting the most effective antibodies from the billions produced within any given host.
Our aim is to build on an established technology platform that uses analysis of very small volumes (1/10^9 liters) in
miniaturized devices (microfluidics) to select antibodies against challenging membrane receptor targets directly from
single cells. This project will advance new and innovative solutions to antibody drug discovery such as: finding
antibodies against difficult drug targets; improved capabilities in the selection of antibodies; and high-value
applications in vaccine development and improved approaches to immunotherapy. The work done in this project will
be directly transferable to AbCellera and bring important new capabilities to their technology platform.

View Full Project Description
Faculty Supervisor:

T. Michael UnderHill

Student:

Partner:

AbCellera

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Elevate

Learning from Lax Kwil Ts’iit: Gitga’at Resource Use at Clamstown

Indigenous peoples on the northwest coast have modified marine and coastal ecosystems to enhance food resources, shaping both local biodiversity and ecosystem structure since Time Immemorial. Forest Gardens near villages enhance food plant abundance and diversity, while Clam Gardens and managed clam beds improve clam productivity in the intertidal zone. Today these sites remain vital for cultural practice, food security, and conservation but face various human-caused threats, including climate change, development, and resource extraction. Our research in Gitga’at Territory combines archaeology and ecology to study these cultivated ecosystems, documenting their history and informing future policy along a rapidly changing coast.

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Faculty Supervisor:

Camilla Speller

Student:

Partner:

World Wildlife Fund Canada (Toronto, ON)

Discipline:

Life Sciences

Sector:

Other services (except public administration)

University:

The University of British Columbia

Program:

Accelerate

A Multimodal AI System for Intelligent Hazard and Operability Analysis in Process Industries

This project will explore how artificial intelligence (AI) can make safety reviews in industrial plants faster, smarter, and more reliable. The intern will help build a computer system that can read and understand technical drawings and documents used in engineering, then use that information to spot possible risks in how equipment is designed or operated. By using advanced AI tools like language models and image recognition, the system will help safety teams identify hazards earlier and suggest ways to fix them. This will save time, reduce human error, and improve how safety checks are done. The partner organization will benefit from early access to this new technology, which can make their safety processes more efficient and help prevent accidents in complex systems.

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Faculty Supervisor:

Homayoun Najjaran

Student:

Partner:

HazopCA Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Évaluation de l’utilité des mesures objectives et subjectives de la charge d’entrainement des artistes de cirque

La gestion de la santé physique et mentale des artistes de cirque est un défi, car les exigences varient beaucoup selon les disciplines de cirque. Actuellement, le suivi de la charge de travail, utilisé pour optimiser l’entraînement et prévenir les blessures dans d’autres sports, n’est pas encore appliqué aux arts du cirque. Ce projet vise à développer des métriques adaptées au cirque pour suivre la charge de travail des artistes, en intégrant des mesures objectives et subjectives. En évaluant l’efficacité de ces métriques, le projet apportera des solutions pour mieux gérer l’entraînement et la prévention des blessures, tant pendant les entraînements que les spectacles. Les résultats du projet seront essentiels pour améliorer la pratique et la santé des artistes.

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Faculty Supervisor:

Julien Clément

Student:

Partner:

École nationale de cirque (Centre de recherche, d‘innovation et de transfert en arts du cirque)

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Accelerate

Changes in Pediatric RSV Hospitalizations after the COVID-19 Pandemic, 2022-2023, Canada: An Active Surveillance Study

The proposed project will be the largest ever study of RSV associated hospitalizations to Canadian tertiary pediatric hospitals. Cases are identified via our national active surveillance program for vaccine-preventable diseases, the Canadian Immunization Monitoring Program ACTive (IMPACT). IMPACT’s pediatric hospital-based active surveillance network provides a rich source of data with rigorous quality control processes and is an integral part of Canada’s vaccine safety monitoring and disease reporting surveillance systems, covering ~90% of pediatric tertiary care beds in the country. The objective is to conduct the data analysis of RSV seasons from 2022-2023 and add this to the current data from 2017-2022. The previous work determined that the burden of RSV in pediatric populations drastically decreased in 2020 due to public health measures during the COVID-19 pandemic, before seeing an increase in 2021. This project aims to evaluate if the burden in the 2022-2023 data continues to reflect the increase as seen in 2021 or if the burden has returned to rates seen prior to the COVID-19 pandemic. The study will allow public health professionals to make recommendations regarding surveillance of RSV in pediatric population going forward.

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Faculty Supervisor:

Joseph Cox

Student:

Partner:

McGill University Health Centre

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

Research Institute of the McGill University Health Centre

Program:

Accelerate

Assessing the Burden and Outcomes of Acute Respiratory Infection among Children with Medical Complexity at The Hospital for Sick Children

Given advancements in medical and surgical technology, the number of children with medical complexity (CMC) is rising. These children, who experience multiple chronic medical conditions and require ongoing specialized therapies, are at higher risk of adverse outcomes from respiratory infections. However, most research on respiratory infections among CMC has been limited by small sample sizes. This project aims to study disease outcomes and hospital resource needs among CMC hospitalized with respiratory viral infections. This project will use data collected from the READAPT-Kids study at two large children’s hospitals in Canada from 2022-2023, which included nearly 300 CMC hospitalized with respiratory viral infections. In this project, the intern will analyze patient characteristics, presenting symptoms, respiratory virus testing, laboratory and vital indicators, hospital resource utilization, and disease severity outcomes which occurred during hospitalization. The project can benefit SickKids by improving care, management, and hospital resource utilization for CMC by informing clinical decision-making for CMC presenting with acute respiratory infections.

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Faculty Supervisor:

Shelly Bolotin

Student:

Partner:

The Hospital for Sick Children

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Public administration

University:

University of Toronto

Program:

Accelerate

High-throughput selection of monoclonal antibodies against GPCRs using a microfluidic single cell screening platform

Antibodies are biomolecules naturally produced by immune cells, called antibody-secreting cells, to protect against
infection and diseases. Each antibody-secreting cell makes a unique type of antibody that binds specifically to a target molecule. A major challenge in developing antibody therapeutics is selecting the most effective antibodies from the billions produced within any given host.
Our aim is to build on an established technology platform that uses analysis of very small volumes (1/10^9 liters) in
miniaturized devices (microfluidics) to select antibodies against challenging membrane receptor targets directly from
single cells. This project will advance new and innovative solutions to antibody drug discovery such as: finding
antibodies against difficult drug targets; improved capabilities in the selection of antibodies; and high-value
applications in vaccine development and improved approaches to immunotherapy. The work done in this project will
be directly transferable to AbCellera and bring important new capabilities to their technology platform.

View Full Project Description
Faculty Supervisor:

T. Michael UnderHill

Student:

Partner:

AbCellera

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Elevate

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