Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

31 620 projets complétés

2978
AB
5221
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856
MB
696
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899
SK
9419
ON
9858
QC
98
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619
NB
1192
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Projets par catégorie

Creating a Predictive Financial Model to Optimize Digital Marketing Budget of SMEs Post COVID-19

With schools closed due to the COVID-19 pandemic, many education outreach companies that offer in-class summer camps are having to pivot to virtual classes to adjust to the new normal. Their main challenge is how and where to spend their marketing budget efficiently to attract new students. They traditionally advertise locally such as in schools or communities which are not available to them now. Therefore, their advertising budgets are moving to digital marketing such as social media and search engines. These companies have to rethink which platforms help them transform their businesses that have been altered by this crisis. Using data science helps them to spend their marketing budget efficiently. Analyzing data gathered from marketing campaigns and social media channels will equip companies with valuable information on why, when, and how their customers engage with their brand.
In this research, by focusing on education companies, we try to create a model to predict customers behaviors and optimize company’s marketing bu

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Superviseur du corps professoral :

Laleh Samarbakhsh

Étudiant :

Partenaire :

Genius Camp

Discipline :

Business

Secteur :

Education

Université :

Toronto Metropolitan University

Programme :

Accelerate

New designs for Bayesian adaptive cluster randomized trials for an individualized clinical support tool with capacity to support distance follow up and treatment of depression

Depression is a common and often devastating illness that contributes to suffering for patients and families and is also the number one cause of disability globally. Many patients do not respond to their
first trial of treatment, and managing depression according to best practices can be difficult for clinicians. Using the power of machine learning, a new tool has been developed that is intended to help match
patients to treatments using a simple questionnaire and to assist clinicians in improving the quality of depression treatment. It is now time to test this tool in a clinical trial, and this project aims to help ensure
that this trial is designed to take into account new challenges and questions that come with this kind of tool, and that the analysis of the results of the study is rigorous and provide meaningful answers about
the effect of the tool on patient outcomes.

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Superviseur du corps professoral :

Erica Moodie;Shirin Golchi

Étudiant :

Partenaire :

Aifred Health Inc

Discipline :

Mathematics

Secteur :

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

Université :

McGill University

Programme :

Accelerate

An examination of gamification methods to improve user engagement: A case study of a system to manage expertise during the COVID-19 Pandemic

totaliQ has developed an expertise management platform that helps organisations save significant time and money by providing them with maximum visibility into the individual expertise that each employee within the organization has and where that employee is located. safetyiQ is a free, light version of this system that will allow employees, managers and occupational health and safety professionals to share best practices, templates, lessons learned, Q&A and more, while it auto-generates an inventory of each user’s areas of expertise so that collaborators can identify experts in specific topics within this online community during the COVID-19 pandemic.
Gamification is a technique to increase willingness of the user to contribute to share his knowledge with others. When applying gamification to knowledge management, the idea is to get employees to share knowledge and expertise by making it fun, introducing an element of friendly competition, and shining a light on top performers. The purpose of this project is investigating gamification techniques that maximise user engagement in expertise management platform of totaliQ.

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Superviseur du corps professoral :

Jennifer Jewer

Étudiant :

Partenaire :

totaliQ Technology Inc

Discipline :

Business

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

Memorial University of Newfoundland

Programme :

Accelerate

Heat Stress in Older Adults

Deep mechanized mines can be harsh work environments. In addition to the dust and
potential noxious gases, workers are frequently exposed to high heat and high humidity
conditions for extended periods of time. Studies suggest that an individual’s ability to maintain
a safe body temperature decreases with age, thereby increasing the risk of heat-related
injury. Poor physical fitness and chronic disease, which become more common with
increasing age, will also decrease heat tolerance. As the average age of workers has been
increasing across Canada, heat-related safety is becoming more of a concern. This research
seeks to examine the upper thresholds of temperature that older workers will be able to
tolerate. We will be measuring their responses to heat exposure both at rest, as well as
during incremental exercise in order to define the upper thresholds for safety in these
environments.

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Superviseur du corps professoral :

Glen Kenny

Étudiant :

Partenaire :

Vale Canada Limited (Copper Cliff, ON)

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

University of Ottawa

Programme :

Accelerate

Analysis of Emotional Well-Being via CheckingIn

Checkingin is a publicly available app through which users report their current emotion, energy level, and the context descriptive of this state. The present project seeks to analyze if such self-initiated technology is capable of detecting emotional shifts in well-being under times of great stress, as on-going in the current COVID-19 pandemic. Specifically, a comparison will be made on what emotions were most frequently reported prior to the pandemic, and how these emotions shifted over time up to present day. This will compliment laboratory-based research reliant on retrospective recall. Secondly, by pairing context with emotional well-being, activities that are beneficial, or may be detrimental, for well-being can be identified. This can help individuals know, for instance, that exercise was beneficial for well-being maintenance during the past several weeks relative to spending time on social media.

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Superviseur du corps professoral :

James Enns

Étudiant :

Partenaire :

CheckingIn

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Towards developing inhibitors to treat CoVID-19

The SARS-CoV-2 outbreak, which started in Dec. 2019, has so far not been contained due to unpreparedness and unsuccessful development of antiviral drugs against SARS-CoV-2. In response to this pandemic, we propose strategies for the development of novel antiviral agents against a number of known viral targets using in-silico modeling and laboratory testing to rapidly identify and validate their efficiency in blocking viral functions. We have prior experience working with viruses of the same family, which include those that cause Porcine epidemic diarrhea (PEDv) and influenza A/H1N1, and aim to -build small molecules to block the new virus. The goal of our design will be to find molecules for 1) the inhibition of SARS-CoV-2 replication; 2) blocking of S protein-ACE2-mediated viral entry; 3) targeting SARS-CoV protease (3CL); 4) inhibiting viral protein nsp-14 – DDX1 helicase interaction. Each molecule will be evaluated for specificity and efficacy in in-vitro assays. We will synthesize target proteins and promising compounds and test their interactions by functional assays, including cell toxicity, and biophysical assays including analytical ultracentrifugation (AUC), Microscale Thermophoresis (MST), and by high throughput screening.

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Superviseur du corps professoral :

Neal Davies;Trushar Patel;Borries Demeler

Étudiant :

Partenaire :

Applied Pharmaceutical Innovation

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services; Retail trade

Université :

University of Lethbridge

Programme :

Accelerate

Distributed Learning over Edge Computing to Support Covid-19 Modelling

The proposed research will allow any device to contribute its computing capabilities to the general distributed computer. Combined, these devices become a super-computer — providing resources for researchers and scientists in their quest for discovery. This research focuses on the finely calibrated aspects of scheduling slices of computing on this computing network. The intern will be involved in performing the raw science in the laboratory and then bringing those results to the non-academic partner for incorporation into the product’s commercialization. By improving on the distributed computer, this project allows KDS to create a critical mass of users who love, utilize, and promote the DCP as a leading-edge tool for parallel computing worldwide. This will include the distributed computer’s support of the extension of COVID-19 and future pandemic analysis platform.

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Superviseur du corps professoral :

Hossam Hassanein

Étudiant :

Partenaire :

Kings Distributed Systems

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

Queen's University

Programme :

Accelerate

Ongoing Development of Energy-Economy Climate Policy Models

The overall objective for this project is to support the research of two master’s students who would help advance the methods for modelling energy-climate policies, a field in which EMRG in the School of Resource and Environmental Management at SFU is one of the leading research units in the country and in which Navius Research Incorporated is the leading Canadian consulting firm, providing support to governments and other stakeholders in the development and assessment of energy and climate policy. One sub-project focuses on modeling assumptions and features needed to best model Canada’s achievement of its “net-neutral by 2050” climate target. The other sub-project focuses modeling assumptions and features needed to best model deep decarbonization of Canada’s Emissions-Intensive, Trade-Exposed industri

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Superviseur du corps professoral :

Mark Jaccard

Étudiant :

Partenaire :

Navius Research

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Accelerate

Building the Evaluation Capacity of the Alberta Mentoring Partnership

This Mitacs project will support the Alberta Mentoring Partnership in building evaluation capacity across the province of Alberta for their affiliated organizations. The Mitacs intern will engage AMP decision makers in the development of the project, the creation and delivery of two online evaluation capacity workshops for mentoring organizations, the development and delivery of a 6-month learning opportunity for organizations, and knowledge mobilization about the project. This project provides the AMP partner organizations with the resources they need to monitor the impacts of their work, the effectiveness of their funding, and the achievement of their goals. By participating in this project, we will build their capacity to assess the impacts of their work on children, youth and families, collect evidence about the progress of their work, and provide evidence that can be used to refine the projects of AMP to better meet the needs of schools and youth serving agencies.

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Superviseur du corps professoral :

Rebecca Gokiert

Étudiant :

Partenaire :

Boys and Girls Clubs Big Brothers Big Sisters of Edmonton and Area

Discipline :

Sociology

Secteur :

Education; Health and Related Sciences & Technology; Other services (except public administration)

Université :

University of Alberta

Programme :

Accelerate

Le musée face aux enjeux d’une expographie et médiation numériques participatives : l’exemple de la plateforme éducative educart.ca du MBAM et son évolution en dispositif de réalité virtuelle

Soyez au coeur de l’expérience muséale! L’Application ÉducArt en VR invite l’usager à découvrir de manière innovante toute une série d’objets et d’oeuvres d’art de collection issus du Musée des Beaux-Arts de Montréal, et à participer, en collaboration avec le musée, à la construction de cette exposition virtuelle. Cette “réappropriation patrimoniale” et gamification de la visite place finalement le public au coeur de l’expérience muséale l’appelant à réfléchir autour de la co-création et valorisation du savoir à partir d’une collection et de sa mise en exposition numérique. Le dispositif permettra en même temps aux élèves et aux classes secondaires québécoises participan

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Superviseur du corps professoral :

Marie Fraser

Étudiant :

Partenaire :

Musée des Beaux-Arts de Montréal

Discipline :

Sociology

Secteur :

Education; Information and Communications Technology; New and Digital Media

Université :

Université du Québec à Montréal

Programme :

Accelerate

Handheld intraoral ultrasound for assessment of tooth-periodontium complex

Correction of misaligned teeth requires orthodontic braces treatment. Cone-beam computed tomography (CBCT) has been routinely used in orthodontic diagnosis and treatment planning in recent years. Its three-dimensional capability to view images has a significant advantage over traditional 2D X-rays. However, CBCT typically delivers more radiation than conventional dental 2D X-rays. As children and adolescents are the most common individuals getting braces to correct misaligned teeth, they are increasingly susceptible to harmful effects of excessive radiation, due to rate of cellular growth and organ development, and longer life expectancies. This proposal suggests using ultrasound techniques to study tooth-gum tissue complex and validating the ultrasound results with CBCT. Ultrasound method is non-invasive, cost-effective, and free of ionizing radiation. If ultrasound is found to be a reliable tool in imaging the tooth-gum complex, children and adolescents will benefit immensely from the decreased radiation risks and reduced cancer rate. The project’s outcome will significantly advance the commercialization of DenSonics’ ultrasound technology.

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Superviseur du corps professoral :

Fabiana Marques;Carlos Flores-Mir

Étudiant :

Partenaire :

DenSonics Imaging

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Alberta

Programme :

Accelerate

Organisation du travail dans les services préhospitaliers d’urgence : facteurs facilitant le déploiement du travail et le maintien au travail des paramédics lors d’une pandémie (COVID19)

Le projet présenté porte sur l’organisation du travail dans les services d’urgence et vise à faire ressortir les facteurs facilitant le déploiement du travail et le maintien au travail des paramédics lors d’une pandémie. Actuellement, les services ambulanciers d’urgence font face à des défis importants afin de s’assurer que la sécurité de la population de même que celle des employés soit toujours au premier plan lors des interventions. La démarche proposée dans ce projet s’inscrit dans un processus de gestion de risque qui vise à assurer la sécurité des paramédics et de la population dans le contexte lié à la COVID19 dans le respect des directives de l’INSPQ. Le projet vise à obtenir un portrait global de l’organisation du travail en temps de pandémie afin que la lecture de la trajectoire des soins et services offerts par les paramédics puisse être la plus performante possible pour les services à offrir à la population.

Voir la description complète du projet
Superviseur du corps professoral :

Denis Lagacé

Étudiant :

Partenaire :

Ambulance 22-22

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology

Université :

Université du Québec à Trois-Rivières

Programme :

Accelerate