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

L’impact du “fly-in fly-out” (navettage) dans la vie des hommes

Des recherches dans le secteur minier montrent que plusieurs hommes rapportent vivre une fatigue chronique provenant des longues heures de transport, de travail, ainsi que de l’instabilité liée aux différents endroits pour dormir et aux conditions de sommeil. Plusieurs travailleurs indiquent se sentir isolés socialement. Ce projet veut étudier les impacts du modèle navettage dans la vie des hommes, plus précisément 1) décrire les conséquences du navettage dans les différentes sphères de la vie des hommes (santé – bien-être – famille); 2) faire un portrait sur la qualité des services d’aide offerts aux hommes qui travaillent en faisant le navettage (accessibilité des services, adéquation des interventions offertes, etc.); 3) décrire les connaissances manquantes et les solutions à mettre en place en termes de réduction des conséquences négatives du navettage sur la santé et la vie familiale des hommes. La méthodologie utilisée sera de type qualitative et la technique de l’entrevue semi-structurée sera privilégiée pour collecter les données dans les cinq municipalités régionales du comté et de la région.

View Full Project Description
Faculty Supervisor:

Oscar Labra;François Déry

Student:

Partner:

Groupe Image

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Accelerate

Journalism Product Innovation and Audience Engagement at The Conversation Canada

The Conversation Canada (TCC) is an independent news startup that specializes in short-form, evidence-based explanatory journalism written by experts in universities and curated by professional journalists. TCC is supported by a consortium of universities, agencies, and governments. News articles are freely available online and may be republished at no cost under a Creative Commons license. In 2018 The Conversation Canada published nearly 1,000 stories, and has around 1.3 million monthly views, two-thirds from outside Canada. Research will be undertaken to help The Conversation Canada to further develop impactful explanatory journalism by experimenting with new journalism products in three new formats: podcasting, newsletter, and long-form journalism. As well, analytics will be used to assess The Conversation Canada’s current audience. The focus will be on articles in The Conversation Canada’s section on Culture, Society, and Critical Race Issues.

View Full Project Description
Faculty Supervisor:

Charles Davis

Student:

Partner:

The Conversation Canada

Discipline:

Sociology

Sector:

Information and cultural industries

University:

Toronto Metropolitan University

Program:

Accelerate

Technologies for Improved Sustainability of Long-Life Flexible Pavements

A sustainable pavement is one that is safe, smooth, efficient, economic, and environment friendly,
meeting the needs of present-day users without comprising those of future generations. Sustainable
flexible (asphalt) pavements, in particular, are those that minimize environmental impacts through the
reduction of fuel and energy-based materials (asphalt cement, for example) consumption, more
effective use of natural resources, and reduction of greenhouse gas emissions while meeting all
performance conditions and standards. The proposed research focuses on the development of
different applied technologies in design, construction and maintenance for improved sustainability of
long-life flexible (asphalt) pavements to: minimize the use of natural resources through recycling;
reduce pavement temperatures in hot seasons; enhance pavement performances; reduce user fuel
consumption; and reduce greenhouse gas emissions. The developed technologies for light-coloured
grey asphalt pavements and high performance granular layers using reclaimed materials will foster
improved designs for sustainable long-life flexible pavements.

View Full Project Description
Faculty Supervisor:

Peijun Guo

Student:

Partner:

Shiloh Canconstruct Ltd

Discipline:

Engineering

Sector:

Clean Technology; Environmental Science and Technology; Clean Technology; Environmental Science and Technology

University:

McMaster University

Program:

Accelerate

Thales – Prédiction logistique en pharmacie

Les pharmacies au détail s’appuient principalement sur leurs propres données empiriques pour planifier et prévoir leurs stocks. Ce type de données a ses propres caractéristiques, qui peuvent être saisonnières et être affectées par des événements spéciaux et imprévus tels que les maladies pandémiques. Toutefois, à mesure que la quantité de données s’accumule, il n’est pas évident de savoir comment prévoir efficacement leurs stocks, découvrir les habitudes d’achat de certains médicaments à certaines périodes de l’année et prévenir davantage les pénuries. L’apprentissage automatique et l’analyse prédictive permettent d’analyser les données, de découvrir les habitudes d’achat des clients, les habitudes d’achat de médicaments à la demande, les associations et les informations potentiellement utiles cachées dans les données, ce qui est pertinent pour ce projet.
Le but de ce stage est d’étudier les sujets de recherche suivants. Comment pouvons-nous mieux modéliser les données logistiques des pharmacies ? Existe-t-il des caractéristiques indirectes autres que l’historique d’achat des clients que nous devons saisir à des fins prédictives ? Quel type d’algorithme est approprié pour prédire les modèles de demande de médicaments et les modèles de pénurie des fournisseurs ?

View Full Project Description
Faculty Supervisor:

Christian Gagné;Jonathan Gaudreault

Student:

Partner:

Thales Canada Inc

Discipline:

Computer science

Sector:

Information and Communications Technology; Technology

University:

Université Laval

Program:

Accelerate

Monitoring the sustainability of agricultural system for Ontario’s Greenbelt

This project aims at developing information and knowledge that will promote public and policy support for the long-term sustainability of the agricultural system surrounding the greenbelt. Based on a preliminary research led by the Friends of Greenbelt Foundation, this research will develop a monitoring framework for the viability and protection of the agricultural system in the greenbelt and assess the trends of agricultural viability and protection in Greenbelt during the past 15 years. It also looks into the urbanization trend and farmland loss approaching the greenbelt and aims at investigating its impact on the sustainability of the greenbelt. This project will be of interest to the policy makers, municipal leader and communities who are interested in the sustainable development of the greenbelt and the Greater Golden Horseshoe. This research project will directly benefit the greenbelt foundation’s future work by creating a framework which could guide through the further monitoring projects, and provide an in-depth review on the status of the greenbelt during the past 15 years.

View Full Project Description
Faculty Supervisor:

Wayne Caldwell

Student:

Partner:

Friends of the Greenbelt Foundation

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

University of Guelph

Program:

Accelerate

Yield optimization of an agrifood production process using AI tools and Industry 4.0 technologies

Food manufacturers experience significant waste when transforming raw materials into refined finished products. In the food processing industries, a single line can have 50% or more of raw materials loss while simultaneously producing varying degrees of quality simply because processing equipment is not optimally configured to the characteristics of the suppliers’ raw materials. Worximity proposes a project to use artificial intelligence, combined with industrial sensors (IIoT) and computer vision to optimize food production yield, improve quality, safety, and reduce waste in food manufacturing.

View Full Project Description
Faculty Supervisor:

Maha Ben Ali;Robert Pellerin;Christophe Danjou

Student:

Partner:

Worximity Technology Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Accelerate

Optimal and heuristic optimization methods for large-scale naval refit operations

This project deals with the development of new mathematical models and solution methods to optimize naval surface ship refit operations. The Naval Surface Ship Work Period Problem (NSWPP) is a highly complex resource-constrained project scheduling problem (RCPSP) with many work orders that are equivalent to small projects. Planning, scheduling, and executing NSWPPs are very challenging, and a large volume of planned and scheduled work is typically never achieved for a variety of reasons such as unexpected discovery of damages, high variability in work scope and duration, unavailability of human resources or equipment, logistical delays. The goal of NSWPP is to complete all important and critical activities within the time-window available, where uncompleted activities will not compromise the mission or can be reasonably mitigated.
This project will propose new models to deal with the optimization of the NSWPP and incorporate time-quality, capacity-cost, cost-risk trade-offs. Heuristic solution methods will also be developed.

View Full Project Description
Faculty Supervisor:

Claver Diallo;Alireza Ghasemi

Student:

Partner:

Thales Canada Inc

Discipline:

Engineering

Sector:

Management of companies and enterprises; Manufacturing; Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Moose browsing intensity and landscape structure of wintering habitat patches

Over the last decades, the moose population of New Brunswick has greatly increased, to a point where forest regeneration is locally compromised. Moose browsing can severely influence forest dynamics by altering stand structure and composition and favouring softwood species over hardwoods in mixedwood stands. Hence, it is important to understand the factors influencing moose browsing in order to reduce damage to regeneration and economic losses to the forest industry. Although the factors influencing the spatial distribution of moose browsing have been intensively studied, both in Europe and North America, the influence of landscape structure of wintering habitat patches has not been studied. Therefore, we decided to analyze the influence of the landscape structure of wintering habitat patches at the landscape level on moose browsing intensity.

View Full Project Description
Faculty Supervisor:

Martin-Hugues St-Laurent

Student:

Partner:

Northern Hardwoods Research Institute

Discipline:

Life Sciences

Sector:

Forestry; Natural Resources; Sustainability & the Environment

University:

Université du Québec à Rimouski

Program:

Accelerate

Impacts on dairy management and acceptability of a law restricting use of Class 1 antimicrobial

In a recent study conducted in the province of Quebec it was determined that 34% of antimicrobials used on dairies are antimicrobials of very high importance for humans (AKA Category 1 antimicrobials; Lardé et al., personal communication). However, since February 2019, a new regulation restricts their use in food producing animals in Quebec’s province, Thus, the objectives of this project are to determine the impacts of the implementation of a new regulation aimed at restricting category I AMU on the sale of veterinary drugs on dairy farms in Quebec by measuring the change in Category 1 AMU on dairies following application of the new regulation, investigating factors that are associated with reducing Category 1 AMU and exploring the main barriers and facilitators to the implementation of this new regulation. In France a similar legislation was implemented in 2016. Thus, doing an internship at l’INRAE will be helpful to develop hypothesis in the study of factors that are associated with a decrease in category 1 antimicrobials (objective 2 of the research project) and to target themes to explore with the qualitative interviews (objective 3 of the research project).

View Full Project Description
Faculty Supervisor:

Cécile Aenishaenslin;Simon Dufour

Student:

Partner:

École nationale vétérinaire, agroalimentaire et de l'alimentation, Nantes-Atlantique

Discipline:

Life Sciences

Sector:

Public Service, Policy, and Governance; Health and Related Sciences & Technology; Agriculture and Food

University:

Université de Montréal

Program:

Globalink Research Award

Do socio-demographic and parenting factors moderate the impact of the HIPPY program on children’s school readiness?

The purpose of this project is to assess the impact of a home-based education program for preschool-aged children called the Home Instruction Program for Preschool Youngsters (HIPPY). This program aims to increase school readiness of children deemed educationally “at-risk” by reason of family poverty, parent education levels, family isolation, settlement issues, and/or English language skills. 13% of HIPPY participants are refugees, 70% are newcomers to Canada, and 12% are Indigenous. A data set on school readiness will be analyzed, as measured by The Bracken Basic Concept Scale (2006), a well-known standardized school readiness instrument. Bracken data were collected at two time points one year apart on 311 preschool children at 6 HIPPY sites across Canada, serving a diverse population of families. Analyses of the data will address change over time in children’s age-adjusted Bracken standard scores. Bracken scores will also be examined in relation to a variety of socio-demographic (e.g., child sex, immigration status, place of birth, and mothers’ English language competency) and parent (e.g., frequency of reading to child, engagement in HIPPY) factors.

View Full Project Description
Faculty Supervisor:

Lucy Le Mare

Student:

Partner:

Mothers Matter Centre

Discipline:

Sociology

Sector:

Education

University:

Simon Fraser University

Program:

Accelerate

Optimisation du processus de classification des initiatives 4.0

L’émergence de l’Industrie 4.0 amène les chefs d’entreprise à remettre en question leurs modèles d’affaires et à envisager de quelle façon ces technologies peuvent se combiner pour transformer les produits, les processus et les services offerts. Cette transformation numérique amène inévitablement les entreprises à identifier les fournisseurs de ces technologies et les experts qui peuvent les accompagner dans leur démarche. BRIDGR offre ce service d’accompagnement à partir de sa plate-forme web en offrant un service de jumelage entre les entreprises et les fournisseurs de service technologique. L’accompagnement des clients pour clarifier leurs besoins réels et les solutions potentielles exige toutefois un investissement en temps considérable. L’objectif de ce projet est de revoir le processus de jumelage en cherchant à faciliter l’identification des fournisseurs potentiels à partir de l’énoncé des besoins exprimés par les clients.

View Full Project Description
Faculty Supervisor:

Robert Pellerin;Christophe Danjou

Student:

Partner:

BRIDGR

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Accelerate

iStandardize: Recommendations for Healthcare Form Standardiz

iStandardize is an AI-powered machine learning solution that is designed to streamline the standardization of clinical order sets (i.e., forms) by using machine learning and natural language processing techniques. Currently, hospital networks use multiple versions of forms and order sets, many of them are similar in nature. The lack of standardization poses a challenge in integrating the data for sharing, adds additional documentation burden, and disrupts the workflow for clinicians. The solution applies Natural Language Processing and Machine Learning to identify similar order sets and their elements (attributes and responses), reduce the manual work required to compare the order sets, and expedite the decision making process for standardization.

View Full Project Description
Faculty Supervisor:

Michael Brudno

Student:

Partner:

Deloitte Consulting (Toronto, ON)

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Previous
1…1,9221,9231,9241,9251,9261,9271,928…2,473
Next

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe