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

Exploring the Impacts of a Community-Based Post-Secondary Education Award

Canadian community foundations significantly support post-secondary institutions and students in their provision of merit and needs based awards and bursaries. Yet little is known about the impacts of these investments for students. The Edmonton Community Foundation has partnered with UAlberta (Community Service-Learning) and the Edmonton Social Planning Council (ESPC) to explore the impacts of a specific ECF Awards program for low-income and civically engaged students. Beginning with the 2018 group of award winners, the study will track these students as they enter higher education, take their courses and engage in other socially minded and career oriented activities, and transition into various forms of employment. Researchers will connect with the participants using interviews, surveys and focus groups, at four points of time across 2019-2025: during their studies, upon graduation or withdrawal, at six months after graduation and at two years after graduation. The study will compare the characteristics of those students who won awards to those who did not, and also visually map the journeys of participant students from home to school to post-secondary institution to employment sites.

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Faculty Supervisor:

David Peacock

Student:

Partner:

Edmonton Community Foundation;Edmonton Social Planning Council

Discipline:

Sociology

Sector:

Arts, entertainment and recreation; Other services (except public administration)

University:

University of Alberta

Program:

Accelerate

Predicting the Fair Market Value of a Real Estate Asset

Finding the right real estate property that grows in value over the next few years is of paramount importance. For doing so, one of the most important factors is to estimate the current value of the property as well as its future value. The goal of this project is to build a data and domain-driven model using machine learning that uses previous real estate data to estimate the value of property and suggest the right property in the right neighborhood for investment. We will build an end-to-end framework to collect and preprocess the data and then predict the value of a property.

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Faculty Supervisor:

Morteza Zihayat;Mehdi Kargar

Student:

Partner:

BuyProperly Limited

Discipline:

Computer science

Sector:

Real estate and rental and leasing

University:

Toronto Metropolitan University

Program:

Accelerate

Two-Stage Anaerobic Digestion of Source-Separated Organics and Municipal Sludges to Produce Renewable Bioenergy

A significant fraction of wet organic waste streams within typical municipalities include food wastes (collected by many as source separated organics), and sludges or biosolids. In Canada, such wastes are mostly going to landfill or being land applied to recover some nutrient value. Anaerobic digestion (AD) for disposal of organic waste is an attractive option to recover renewable bioenergy (as methane or hydrogen), with additional environmental benefits from preventing such wastes from going to the landfill. However, time needed to recover bioenergy conventional AD technology is large, which increases capital costs, making it uneconomical for most municipalities to recover this bioenergy. Greenfield has developed a high-rate AD (GHRAD) technology expected to reduce the time needed, and thus improve the economics of bioenergy recovery. This project will help improve and optimize the recovery of bioenergy from municipal source separated organics and municipal sludges using GHRAD technology, established at pilot-scale by Greenfield.

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Faculty Supervisor:

Rajesh Seth;Nihar Biswas

Student:

Partner:

Greenfield Global

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Windsor

Program:

Accelerate

Two case studies in the public history of international development policies in Canada: the Lebanese Special Measures Program (1975-1990) and The Life of Lewis Perinbam (1925-2008)

This project will involve the research of international development assistance policy in Canada. It will focus on two case studies: Lebanese Special Measures Program and the life of distinguished Canadian humanitarian Lewis Perinbam. This research would contribute to a better understanding of the history of international development assistance in Canada. The partners in this project are not-for-profit organizations focused on promoting education and community development. By partnering with MITACS Accelerate, we will be able to fund high level research that explores how Canada’s international development assistance operates in practice. The ultimate goal is to promote a better understanding of this history to the public.

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Faculty Supervisor:

Dominique Marshall

Student:

Partner:

World University Service of Canada;The Canadian Immigration Historical Society

Discipline:

Sociology

Sector:

Education; Other services (except public administration); Professional, scientific and technical services

University:

Carleton University

Program:

Accelerate

Développement d’un personnage universel acrobatique en partenariatavec le Cirque du Soleil

Le Cirque du soleil utilise depuis plusieurs annees des logiciels de previsualisation lors de la phase de conception d’un nouveau spectacle. Ces outils sont puissants pour simuler les decors, les agres et les eclairages prevus. Quand vient le temps de simuler la performance des acrobates, ces logiciels utilisent une representation tres stylisee, sous forme, par exemple, de diagrammes filaires animes de mouvements rudimentaires peu realistes. Le but de ce projet est le developpement d’un outil de previsualisation, de composition et d’integration de l’ensemble des elements d’une nouvelle performance de scene incluant des performances d’athletes. Pour ce faire une premiere etape est de proposer une methode pour estimer a plausabilite biomecanique d’enchainements de mouvements qui seront visualises par l’intermediare d’un avatar. Il s’agira de develop[per un premier personnage universel acrobatique (avatar) qui sera capable d’effectuer quelques acrobaties determinees. Une fois un premier personnage universel developpe, il s’agira d’explorer comment realiser une…..

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Faculty Supervisor:

Nicola Hagemeister

Student:

Partner:

Cirque du Soleil;Dassault Systèmes

Discipline:

Engineering

Sector:

Arts, entertainment and recreation

University:

École de technologie supérieure

Program:

Accelerate

Programme de promotion de la bienveillance et de lutte contre l’intolérance entre résidents : Améliorer la vie collective en résidence privée pour aînés

L’intolérance, ou la maltraitance, entre résidents en résidence privée pour aînés (RPA) est un sujet émergent de préoccupations pour les secteurs privé, public et communautaire. Peu de pratiques et d’outils validés existent pour contrer l’intolérance entre résidents en RPA et pour promouvoir le « bien vivre ensemble ». Le présent projet a pour but de développer et d’implanter un programme visant la promotion de la bienveillance et la lutte contre les situations d’intolérance entre résidents au sein de RPA situées en Estrie et en Montérégie, au Québec. En s’alliant à la Fondation Jasmin Roy Sophie Desmarais, qui a à coeur de construire une communauté bienveillante, ce projet vise à favoriser un climat de bienveillance en RPA et à cibler des interventions pour lutter contre l’intolérance entre résidents.

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Faculty Supervisor:

Marie Beaulieu

Student:

Partner:

Fondation Jasmin Roy Sophie Desmarais

Discipline:

Sociology

Sector:

Education; Other services (except public administration)

University:

Université de Sherbrooke

Program:

Accelerate

Application Edge AI pour l’inspection automatisée de seringues

Développement du premier logiciel de vision par ordinateur propulsé par l’apprentissage profond et déployé en périphérie (edge) permettant aux entreprises manufacturières de détecter la présence de contaminants à l’intérieur de seringues après leur remplissage et de rejeter celles qui ne respectent pas les critères d’inspection.

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Faculty Supervisor:

Christian Desrosiers;Matthew Toews

Student:

Partner:

HAXIO

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Accelerate

Controlling the Recoil of .50 Calibre Sniper Rifle

A novel approach is taken to reduce vibration through the design of a passive smart device with the use of magnetic actuators. In the proposed device, magnets are arranged in a particular alignment, so as to attenuate the resulting vibrations from the explosion at the moment of firing. The device has shown to be effective while maintaining a low mass (expected to be approximately ~150 grams), which is a relatively lightweight device for the desired purpose.

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Faculty Supervisor:

Hadi Mohammadi

Student:

Partner:

Steadiwear Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Developing, Implementing, and Evaluating internet-based Cognitive Behavioural Therapy for Anxiety and Depression

Public health struggles to meet the needs of adults with mental health concerns in a timely manner. Given the impact of the COVID-19 pandemic on the decreased ability to provide face-to-face therapy and the anticipated increase in mental health difficulties as a result of the pandemic, alternatives need to be made available for Canadians seeking support. This project will evaluate a new internet-based Cognitive Behavioural Therapy (iCBT) platform, Tranquility Online, within the context of a global pandemic. Tranquility Online uses iCBT, with the option of an online coach, to help adults manage and treat mild to moderate symptoms of anxiety and depression. A program evaluation will use surveys to assess the effectiveness of having a coach, and examine mental health outcomes using questionnaires. The plan is to share these results through the company website, meetings within the public health sector, and social marketing.

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Faculty Supervisor:

Janine Olthuis

Student:

Partner:

Tranquility Online

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

University of New Brunswick

Program:

Accelerate

Automate key elements of the patient journey in the Medical Context

Dialogue is a virtual healthcare provider targeted towards the corporate environment. The service promotes employee wellness and productivity by connecting users to qualified healthcare professionals through an online or mobile application. The Dialogue service is increasingly being enhanced by AI techniques to improve user experience and streamline the procedure. These improvements include:
• A Natural Language Understanding (NLU) model capable of extracting information from user messages, with automatic appointment booking and providing answers to frequently asked questions;
• A Natural Language Generation (NLG) model capable of generating personalized follow-ups based on a user’s past care episodes;
• A Reinforcement Learning (RL) model capable of conversing with the user and diagnosing medical conditions.
This project involves improving an existing model or creating a new model that accomplishes one of the above tasks, as well as deploying it to production.

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Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

Dialogue Technologies Inc.

Discipline:

Computer science

Sector:

COVID-19 related Research and Solutions; Health and Related Sciences & Technology; Artificial Intelligence; Other

University:

Université de Montréal

Program:

Accelerate

New molecular representation, molecular generation, and data mining strategies for thedesign of SARS-CoV-2 therapies

The goal of the project is to facilitate the research and development of new drugs using machine learning. More specifically, exploring new techniques to model molecules and how they can be represented. Doing so will involve training deep learning models on multiple small datasets with the objective of improving the generalization performance on new tasks. The trained models will have to be accurate even in the context of new types of molecules. With the small amount of data available, out-of-distribution techniques will be used. Molecules are dynamic 3D structures but are currently not represented as such. New machine learning models will be created in order to capture the dynamic aspects of molecules. If successful, this will improve the performance of many tasks that requires molecular information.

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Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

Valence Discovery Inc

Discipline:

Computer science

Sector:

COVID-19 related Research and Solutions; Pharmaceuticals; Artificial Intelligence

University:

Université de Montréal

Program:

Accelerate

Artifici : Classification des résultats de consultation citoyenne.

Votepour.ca est une OBNL qui réalise des activités de sensibilisation, de consultation et de participation citoyennes à la demande de municipalités, d’organisations publiques et locales, ainsi que d’entreprises, dans le but de mieux orienter le développement de projets locaux et d’en favoriser l’acceptabilité sociale. Pour répondre à leurs besoins, Artifici, entreprise qui vise à offrir des solutions pertinentes et adaptées, permettant de mesurer en temps réel l’opinion publique sur un sujet précis, a été mandatée pour automatiser les processus d’analyse des résultats d’enquête et de consultation citoyenne.

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Faculty Supervisor:

Christian Gagné;Luc Lamontagne

Student:

Partner:

Artifici

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Université Laval

Program:

Accelerate

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