Innovative Projects Realized

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

29670 Completed Projects

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801
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663
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Projects by Category

Making us whole again: Developing culturally appropriate, evidence driven evaluations for Indigenous sport organizations in Canada

Indigenous sport organizations in Canada currently struggle with providing sustainable programs. This lack of sustainability limits their ability to meet the needs and interests of the people they serve, especially the youth. This problem stems in part from the type of evaluations that are currently used to determine community needs and assess the programs they develop, including surveys and interviews. The purpose of this study is to address these existing problems by developing culturally appropriate, evidence driven evaluations that support the aims and objectives of Indigenous sport organizations in Canada. By working collaboratively with the Manitoba Aboriginal Sports and Recreation Council (MASRC), our team will provide new forms of evaluation for determining what Indigenous sport looks like. These new evaluative metrics, and the results they produce, will empower these Indigenous sporting communities to target their specific needs more effectively, especially relating to new and existing youth programs.

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Faculty Supervisor:

Taylor McKee;Janice Forsyth

Student:

Partner:

Manitoba Aboriginal Sports and Recreation Council

Discipline:

Sociology

Sector:

Arts, entertainment and recreation

University:

Brock University

Program:

Accelerate

Developing a novel medical robotic device for treatment of lower back pain employing a non-invasive human-robot interaction method

NeoSpina Health Care Inc intends to contribute to unprecedented treatment techniques for LBP by developing a novel medical device and investigating acquired data from treatment procedures. Accordingly, the main objective of this project is to develop a non-invasive robotic device to treat a wide array of spinal conditions while reducing the treatment duration compared to conventional methods. The device will be equipped with motor actuators and force sensors, permitting interaction with the patient’s lumbar spine and data acquisition in real-time, which entails an appropriate design. This leads to distraction instead of traction, targeting only the segments that need treatment. To perform the required motions by the robot arm and soft interaction with the patient’s lumbar spine in a safe way, a feasible impedance/admittance control method will be developed to be applied to the robot’s arm.

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Faculty Supervisor:

Wen-Fang Xie

Student:

Partner:

NeoSpina Health Care Inc.

Discipline:

Engineering

Sector:

Manufacturing

University:

Concordia University

Program:

Accelerate

Application et développement avancé d’un code de mesure de champs de déformation par corrélation d’images

L’objectif de ce projet est de tester et valider un code de mesures de déformation par corrélation d’images numériques (digital image corrélation en anglais, DIC en abrégé). Cette technique permet d’évaluer les déformations en surface que subit une pièce sollicitée mécaniquement, de façon à prédire son comportement en service. Le principe de la corrélation d’images repose sur la comparaison d’images de la pièce prises avant et après déformation. Elle présente l’avantage d’être sans contact et adimensionnelle, c’est-à-dire applicable à toutes les échelles. Les actions précédentes en collaboration avec l’entreprise partenaire ont mené à la conception d’un logiciel de corrélations d’images nommé OpenDIC. Ce logiciel libre et accessible est un atout pour l’entreprise partenaire, dans la mesure où les besoins sont nombreux et les champs d’application, variés. Avant d’être mis à disposition, le logiciel doit cependant faire l’objet de tests en conditions réelles. Il s’agit donc dans ce projet de valider la fiabilité d’OpenDIC, de développer les fonctionnalités que l’entreprise partenaire jugerait nécessaire au regard des résultats obtenus, et de valoriser ceux-ci.

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Faculty Supervisor:

Philippe Bocher

Student:

Partner:

Institut de Recherche Hydro-Québec

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

École de technologie supérieure

Program:

Accelerate

Classification et segmentation de données de drone par intelligence artificielle

Traitement d’images collectées avec des drone par des algorithmes de classification et de segmentation par modèles d’intelligence artificielle. L’objectif du projet est d’automatiser la détection de caractéristiques dans l’image et de convertir ces données en données géographiques. Ce projet permettra de réduire le temps nécessaire pour procéder à l’analyse de données aériennes afin de produire des couches de données géoréférencées et des rapports de situation sur l’état de diverses infrastructures. Nous prévoyons des retombées importantes dans les milieux des inspections d’infrastructure, de la construction, de l’environnement, des mines et de la foresterie. Ce projet permettra également de mettre de l’avant l’utilisation des drones dans divers opérations de terrain.

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Faculty Supervisor:

Petko Valtchev

Student:

Partner:

Chaac Technologies

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université du Québec à Montréal

Program:

Accelerate

Integrating public and in-house multiomics data to identify drug repurposing candidates for scleroderma

Scleroderma is a rare disease with no known cure that affects 22,000 Canadians. The body essentially attacks itself scarring many organs including hardening and thickening of the skin. Since the disease is so wide spread the current treatment approach is to target the affected organs or use general immunosuppressive drugs. Therefore, in order to develop effect therapies for this condition, the biology driving the disease and how it manifests in its different forms must be studied. We will curate the world wide web to collect all previous data that was derived from scleroderma patients as well as apply advanced technology to generate new molecular data. Combining as many data sources as possible will allow us to cover as many scleroderma patients as possible, that is, different subtypes of scleroderma. This project will benefit the PROOF centre through the development of tools and methods which will disseminated through open-source software. We will identify molecules that are associated with different manifestations of scleroderma as well as disease severity.

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Faculty Supervisor:

Amrit Singh;James Vincent Dunne;Kevin Keen

Student:

Partner:

PROOF Centre of Excellence

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

The University of British Columbia

Program:

Elevate

Integrating digital pathology with electronic health records for predicting outcomes in heart transplantation

There is a strong risk of rejection after a patient receives a heart transplant which leads to death in 1 in 5 people that receive the transplant. Biopsies are taken frequently to determine if the new heart is rejecting by looking at the piece of tissue under a microscope. A specialist doctor will then make an assessment as to the rejection status. However many doctors do not agree on the diagnosis and therefore on a definitive diagnosis. We will develop automated algorithms that takes in different kinds of data (images of tissues, doctor’s notes, patient history, blood test results) and aid the doctor in make the rejection assessment. These algorithms can also find places on the tissue images that it thinks are causing the rejection. We will measure the RNA and protein levels in these regions to determine the biology of these regions. The goal of this work is to help the doctor in making a definitive diagnosis of heart transplant rejection and understand the biology behind transplant rejection.

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Faculty Supervisor:

Amrit Singh

Student:

Partner:

PROOF Centre of Excellence

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

The University of British Columbia

Program:

Elevate

Indigenizing ‘Equine Assisted Learning’: developing and evidencing Syilx horseculture based youth wellness programs

Horses have long held special cultural, spiritual and economic importance in many Indigenous North American cultures, offering teaching, healing and connection to the environment. There is research which supports the value of ‘equine therapy’ and even some that highlights the usefulness of equine assisted interventions for Indigenous ‘clients’, but this project is the first to work from the ground up, working with Indigenous horse culture knowledge to develop and document the development of an Indigenous horse-culture-based wellness program. This project is being developed with and for the Syilx Indigenous community through a partnership with the En’owkin Centre, itself a First Nations Centre of excellence in cultural revitalization and education, to develop and evaluate a horse program which supports youth wellbeing and connection with land and culture.

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Faculty Supervisor:

William Cohen

Student:

Partner:

The En'owkin Centre

Discipline:

Sociology

Sector:

Education

University:

The University of British Columbia - Okanagan

Program:

Elevate

Achieving Circular Wastewater Management with Machine Learning

Effective wastewater treatment is essential to the health of the environment. When operating wastewater treatment plants, utilities must ensure that the treated water meets environmental regulations, while balancing competing needs to minimize the cost of running the plant against the maximizing resource recovery. Additionally, most wastewater treatment plants include a combination of physical, chemical, and biological processes, all of which are complex and which can change rapidly in response to changing conditions. Operators need reliable tools to predict the future state of the plant so that they can effectively operate the plant proactively – ensuring that environmental regulations are met without incurring massive costs, all while recovering resources from the wastewater. In this project we will use machine learning tools help generate insights from routinely monitored data in a wastewater treatment plant operated by the Ontario Clean Water Agency to support the operation and control of the plant.

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Faculty Supervisor:

Stephanie Gora;Usman Khan;Satinder Brar

Student:

Partner:

Ontario Clean Water Agency

Discipline:

Engineering

Sector:

Construction and infrastructure; Utilities

University:

York University

Program:

Accelerate

Integrating Artificial Intelligence-based tools and citizen science to enhance biodiversity research and conservation of the charismatic praying mantises (Insecta: Mantodea).

Insects are a key component of ecosystems, economies and human cultures. The Montreal Insectarium seeks to connect the public to nature through engagement with insects, implementing educational programs and citizen science-based research to encourage their conservation. Charismatic species such as praying mantises are instrumental in this context, fostering knowledge of and positive attitudes towards insects through their aesthetic appeal and cultural and commercial value. However, despite the popularity of praying mantises, a historical lack of research has resulted in considerable knowledge gaps about their biodiversity and ecological relevance. This project will integrate artificial intelligence-based tools and citizen science to crowdsource data in order to overcome this data deficiency, raising praying mantises’ profile as flagship organisms for insect conservation and advancing insect biodiversity science. It will assist the Montreal Insectarium in strengthening and diversifying its public education programs to encourage individuals to take collective action in support of insect conservation.

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Faculty Supervisor:

Colin Robert Favret

Student:

Partner:

Ville de Montréal (Espace pour la vie)

Discipline:

Life Sciences

Sector:

Arts, entertainment and recreation; Public administration; Utilities

University:

Université de Montréal

Program:

Accelerate

Développement et synthèse du polymère Lubrium

Le Lubrium est un polymère synthétique mimant l’activité d’une glycoprotéine naturelle, la lubricine (protéoglycan-4), qui est présente à différents endroits du corps humain, notamment à la surface des cartilages des articulations. En effet, l’arthrose est une pathologie très handicapante ayant un développement progressif avec des prévalences respectives de 20% (7 millions de cas) et 26% (78 millions de cas) au Canada et aux États-Unis respectivement. Bien que certains traitements soient présentement sur le marché afin de réduire les symptômes, aucun produit permettant de ralentir ou arrêter la progression de la maladie n’est encore proposé. L’absence d’options thérapeutiques efficaces et sécuritaires pour les patients souffrant d’arthrose, représente une opportunité importante quant à l’application du Lubrium. Pour répondre à ces enjeux, la présente demande propose la synthèse du polymère Lubrium sera optimisée pour permettra l’obtention dudit polymère en quantités suffisantes. Ceci permettra de poursuivre le développement du Lubrium vers sa commercialisation.

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Faculty Supervisor:

David Gendron

Student:

Partner:

Galenova

Discipline:

Physics

Sector:

Manufacturing; Professional, scientific and technical services; Wholesale trade

University:

Cégep de Thetford

Program:

Accelerate

Advancing Strategic Design for Identity Finding in the Financial Services Industry

PenderFund is a small and growing mutual fund company in an industry facing rapid changes. In order to thrive in the industry, the company needs to become more sophisticated in its sales and marketing techniques. In order to move to its next phase of growth, Pender must first investigate and determine what it stands for—finding a vision and mission to guide its growth. To navigate expected industry shake-ups, Pender must increase its brand awareness and strong reputation across Canada. Primary and secondary research using strategic design processes and the Ask.Try.Do. principles will provide the partner with a fully co-created communications platform on which to test brand awareness raising campaigns.

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Faculty Supervisor:

Moura Quayle

Student:

Partner:

PenderFund Capital Management Inc

Discipline:

Business

Sector:

Finance and Insurance

University:

The University of British Columbia

Program:

Accelerate

Increasing Engagement and Reducing Barriers to Participation among Immigrant Voters in Canadian Big-City Elections

In this mixed-methods study, we aim to identify specific experiences and institutional barriers that prevent recent immigrants from engaging with and participating in municipal elections in the city of Calgary, Alberta. Using a systematic literature review and data from focus groups and in-depth interviews in Calgary, we will first develop a list of the concrete local factors that reduce interest and engagement in municipal elections among new Canadians. We will then use a large-scale public opinion survey to further test these factors and to explore (using experiments embedded in the survey) the likely effects of a suite of possible interventions to improve engagement and participation. Our intention is to develop a set of recommendations, based on high-quality local evidence, to mitigate barriers and inform effective voting program design in Calgary for the 2025 general election.

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Faculty Supervisor:

Jack Lucas

Student:

Partner:

City of Calgary

Discipline:

Sociology

Sector:

Public administration; Utilities

University:

University of Calgary

Program:

Accelerate

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