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

Prediction models and longitudinal outcome analysis for child and youth psychiatric acute care admissions or access to high-intensity community-based services: machine learning models to identify risk factors, quantify service capacity short-falls, and promote appropriate transitions into the adult system of care

This research project aims to improve the care of children with severe mental health or substance use disorders by developing a ML model that can predict which children are most likely to need hospitalization. The project will analyze data from various services, including transitions into the adult mental health/addictions system and examine hospital admission outcomes using longitudinal data. By utilizing this model, healthcare providers can make better decisions on when to admit children to the hospital, ensuring that resources are used effectively. Island Health will conduct the research project, and the expected benefit is to improve the care provided to children with mental health and substance use disorders, as well as to better understand the transition into the adult mental health/addictions system. This initiative will contribute to meeting the priorities for Mental Health & Substance Use in Island Health, ultimately improving the health and well-being of these children.

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Faculty Supervisor:

Amirali Baniasadi

Student:

Partner:

Vancouver Island Health Authority (Victoria, BC)

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology

University:

University of Victoria

Program:

Elevate

Exploring Alternatives with Design Analytics Interfaces: A Human-Centered Approach for Integrating Generative Design and Performance Assessment with Machine Learning-Based Surrogate Modelling

Designing built environments is a complex process that involves generating and evaluating alternative solutions using computational tools. In the Architecture, Engineering, and Construction (AEC) industry, designers use generative design methods to explore a larger number of alternatives and ML-driven rapid performance prediction to identify potential issues early on. However, separating these tasks hampers creative flow in decision-making. This project aims to bridge the gap between generative design and performance assessment with ML-based surrogate modelling techniques by introducing novel Design Analytics tools for AEC projects. We aim to enable designers to search for designs satisfying design criteria for better building performance, enhanced energy efficiency, and reduced environmental impact, ultimately advancing the sustainability and resilience of built environments. Our approach will incorporate interactive data visualizations to support decision-making and enable efficient design space exploration.

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Faculty Supervisor:

Halil Erhan

Student:

Partner:

Perkins+Will Canada Architects Co.

Discipline:

Engineering

Sector:

Construction; Information and Communications Technology; Technology

University:

Simon Fraser University

Program:

Accelerate

Enhancing Fall Risk Assessment Precision and Patient Outcomes with Sensitive Markerless Motion Capture Technology in Clinical Setting

This project will study a new way to measure the risk of falls for elderly people in hospitals and clinics. The technology is called Markerless Motion Capture, which uses a camera to track how patients move without any markers or sensors on their body. The study will see if this technology can help identify patients who are more likely to fall and prevent future injuries. The research will help health care providers better assess the risk of falls and improve patient care.

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Faculty Supervisor:

Martin Ferguson-Pell

Student:

Partner:

The Leading Edge Physiotherapy Clinic

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

University of Alberta

Program:

Accelerate

Leveraging Technology to Augment Teachers’ Capacity for Implementing Classroom Formative Assessment

The overarching goal of the project is to seek insights into how teachers use assessment to gather information about student learning and to inform their instruction, and the challenges that teachers face in consistently implementing these assessments in their classrooms. It aims to explore how technologies can be leveraged to address the challenges and obstacles teachers face in implementing classroom formative assessment. In Phase 1, the intern will conduct a systematic review to synthesize the existing research on the effective strategies of formative assessment and challenges faced by teachers in consistently implementing it in their classrooms. In Phase 2, the intern will engage K-6 teachers who have experience with classroom formative assessment. CTC will benefit from the research by gaining a better understanding of teacher processes and obstacles when implementing formative assessment. This will help guide CTC in their development of web-based solutions that can help teachers overcome the obstacles.

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Faculty Supervisor:

Eunice Eunhee Jang

Student:

Partner:

CTC/Canadian Test Centre Inc.

Discipline:

Sociology

Sector:

Education

University:

University of Toronto

Program:

Accelerate

Développement d’outils pour automatiser l’interprétation géologique

Les sciences de la Terre comprennent principalement trois disciplines, dont la géologie, la géochimie et la géophysique. La plupart des informations géologiques ont une nature descriptive issues directement de l’observation. Les analyses géochimiques déterminent précisément la composition des substances terrestres solides et liquides et sont quantitatives à l’échelle microscopique. L’interprétation des relevés géophysiques détermine la variation compositionnelle et structurale de la Terre à l’échelle macroscopique ainsi qu’à de grandes profondeurs. Toutes ces méthodes visent à révéler la présence de ressources minérales ou un problème environnemental. Un outil d’analyse ces données/images de différentes échelles favorise l’extraction des informations utiles. Depuis 2018, nous commençons à développer un outil de traitements d’image avancés. Le présent projet est pour le but de transférer nos outils et nos connaissances vers le milieu de pratique, pour aider nos partenaires à générer des cibles d’exploration minérale efficacement et à augmenter le taux de succès.

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Faculty Supervisor:

Lizhen Cheng

Student:

Partner:

Eagle Géosciences

Discipline:

Earth science

Sector:

Mining

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Accelerate

Development of ventilatory training practices for artistic swimming athletes

In artistic swimming, athletes must perform complex movement routines in the water, while holding their breath for up to 60% of the time, which greatly accelerates the development of hypoxia-induced fatigue. Research shows that hypoventilation training at low lung volumes improves energy metabolism, thereby reducing muscle fatigue and improving physical performance. Furthermore, inspiratory muscle training can improve respiratory efficiency by reducing inspiratory muscle fatigue both in normoxia and oxygen-deprived environments. However, the potential synergistic effects of these two training modalities have not been examined. This project aims to 1) evaluate the feasibility of these two training methods to ensure optimal implementation and long-term sustainability in the context of artistic swimming in Quebec, and 2) explore the ergogenic effects on artistic swimming performance. This project will be conducted in Quebec City in collaboration with Natation artistique Québec, and will provide coaches and strength and conditioning specialists with new, evidence-based modalities and equipment for their toolbox to enhance training specificity and safety for their athletes.

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Faculty Supervisor:

François Billaut

Student:

Partner:

Natation artistique Canada

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate

Reimagining the Hardy Boys for their Centennial Anniversary

With the Hardy Boys’ 100th anniversary coming up in 2027, there is no better time than the present to explore their history and for Simon & Schuster Canada, the copyright owners, to consider how the well-loved characters can be ushered into the modern day. In celebration of the centennial anniversary of the beloved detective duo from Bayport, Simon & Schuster Canada is open to the possibility of rebooting of the Hardy Boys series in a way that brings the characters into the modern day while still connecting to their original intent and roots as characters and cultural icons. The proposed project will see the intern take on extensive research regarding the original Hardy Boys series and distill that research into an actionable proposal for Simon & Schuster Canada, which will detail how the Hardy Boys can be rebooted in the modern day while still maintaining the original essence of the series.

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Faculty Supervisor:

Scott Steedman

Student:

Partner:

Simon & Schuster

Discipline:

Sociology

Sector:

Information and cultural industries

University:

Simon Fraser University

Program:

Accelerate

Alberta Early Learning and Care Workforce Stability Project

The goal of the proposed research project is to assist the Association of Early Childhood Educators of Alberta (AECA) in building their understanding of the needs of early childhood educators so they can advocate for evidence-informed outcomes as decisions are being made on their behalf on how the bilateral funding is to be spent to achieve quality ELCC. The study will look at the lived experiences of ECEs and see what opportunities exist to reduce turnover, specifically through a fair compensation framework. This research will ultimately help identify how ELCC service providers and policymakers can utilize evidence to inform systems building and change. Hence, the Mitacs project will benefit the AECEA in achieving its mission and vision and the ECN’s and SSHRC PG’s goals and foci in knowledge creation and evidence discovery for action. ECN will particularly be able to use this Mitacs project to explore the impacts of a community-driven research practice that supports families and children and contributes to the long-term well-being and development of children.

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Faculty Supervisor:

Rebecca Gokiert

Student:

Partner:

Association of Early Childhood Educators of Alberta

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

University of Alberta

Program:

Accelerate

AI-based Saliency Prediction for better perceptual quality in Display and Video Compression

This research project aims to develop AI based models for predicting visual saliency in gaming videos. Visual saliency refers to identifying the most relevant and important areas in an image or video. This technology has numerous applications, including improving video compression and optimizing the backlight dimming of displays, leading to better user experience and power savings. However, there is currently a lack of saliency prediction datasets for gaming videos, which are essential for developing accurate models. This project will explore ways to enrich these datasets and improve the accuracy of the models using advanced machine learning techniques. The partner organization, AMD, will benefit from the research by gaining expertise in video saliency technology, particularly for gaming, which can be used to create more energy-efficient displays and better video compression, leading to improved user experience.

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Faculty Supervisor:

Qiang Sun

Student:

Partner:

AMD Canada

Discipline:

Computer science

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

In vitro placental response to miRNAs associated with insulin resistance in pregnant women

The O’Tierney-Ginn lab in the Mother Infant Research Institute, Boston, seeks to understand how maternal-placental communication affects fetal growth and pregnancy outcomes. Specifically, they are investigating the mechanism of action of specific miRNAs produced by the placenta that were associated with maternal insulin resistance in pregnancy. In fall 2023, Ms. Lavoie will complete a 15-week internship to learn human placental collection, culture methods and analysis. She will assess the effect of miRNA of interest on human placental explants in vitro. This experience and the knowledge and skills she will develop are fully aligned with the objectives of her future scientific career.

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Faculty Supervisor:

Luigi Bouchard

Student:

Partner:

Tufts University

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Life Sciences (not health)

University:

Université de Sherbrooke

Program:

Globalink Research Award

Développement d’une méthodologie d’analyse numérique

Le travail de recherche consistera à répertorier un nombre maximum d’outils d’analyse dans le domaine du marketing et de la stratégie numérique, d’analyser ces outils afin d’en extraire une série d’attributs puis de bâtir un « méta-outil ». Le résultat final prendra la forme d’une méthodologie de service-conseil qui permettra d’élaborer des stratégies numériques permettant ainsi aux organismes d’accroître leur capacité numérique.

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Faculty Supervisor:

Ygal Bendavid

Student:

Partner:

Charity Rocket

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

Université du Québec à Montréal

Program:

Accelerate

Optimizing skate fit and comfort design using statistical shape model of foot shape and sensitivity

The design and fit of sporting equipment play a significant role in an athlete’s comfort, performance, and injury risk. The case is similar for hockey skates, where inter-individual variations in foot shape and sensitivity can influence skate comfort and fit, and subsequent performance. Hockey skate design is further challenged as skates need to function in a variety of maneuvers and movements athletes perform while skating. As a leading Canadian hockey equipment manufacturer, CCM hockey continually seeks to enhance the design of skate and padding to improve athlete’s fit, comfort, and performance. Partnered with the Human Performance Lab, CCM aims to further improve the design of hockey skates and padding using statistical shape model of foot shape and sensitivity. The findings of this project can be broadly applied to serve as a guide for future skate design.

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Faculty Supervisor:

Brent Edwards

Student:

Partner:

Sport Maska Inc

Discipline:

Life Sciences

Sector:

Manufacturing; Retail trade; Wholesale trade

University:

University of Calgary

Program:

Accelerate

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