Projets novateurs réalisés

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

31 133 projets complétés

2940
AB
5159
C.-B.
837
MB
685
NL
882
SK
9292
ON
9695
QC
97
PE
601
NB
1161
NS

Projets par catégorie

Using Shared Mental Models to Improve Collaboration in Integrated Service Delivery Settings

Growing complexity of social needs, aligned with pressures for efficient and effective public services, has been met with calls for inter-professional, integrated approaches to societal problems (Henderson et al., 2020; Careau et al., 2018). Recent evidence has confirmed a positive relationship between shared mental models, and team/organizational performance (Evans & Baker, 2012). The purpose of this research project is to explore how the shared mental model framework can be applied in an inter-professional service delivery setting to improve collaborative practices and service delivery.
Luna Child and Youth Advocacy Centre (Luna) is a recognized centre of excellence in child abuse intervention and prevention. They have a dedicated and skilled inter-professional team that work together to focus on the most complex, severe and urgent cases of child maltreatment. Using Luna as the location of study, this explanatory sequential mixed methods research project will: identify the shared mental models that underpins their work; understand the impact shared mental models have had on collaborative practice; and, articulate lessons learned in a way that benefits Luna and other Canadian child and youth advocacy centres.

Voir la description complète du projet
Superviseur du corps professoral :

Cathie Scott

Étudiant :

Partenaire :

Luna Child and Youth Advocacy Centre

Discipline :

Business

Secteur :

Health and Related Sciences & Technology

Université :

Royal Roads University

Programme :

Accelerate

Developing an Automated Response Characterization Tool Based on Affect, Content, and Linguistic Features of the Casper Test

Open-ended questions are where respondents consider hypothetical scenarios that they might encounter in real life and describe what action(s) they might take in response to each situation. To assess a test-taker’s responses to these questions, a human scoring process (i.e., human raters marking each response individually) is followed. Despite following clear scoring criteria, human raters are likely to take additional factors (e.g., word choices) into account when scoring open-ended questions. Therefore, to what extent how someone writes influence the scoring needs to be carefully evaluated. Fortunately, new techniques and tools in natural language processing (NLP) allows researchers to analyze large amounts of textual data efficiently and achieve state-of-the-art results. This project aims to develop a tool that can analyze responses given to open-ended questions.

Voir la description complète du projet
Superviseur du corps professoral :

Okan Bulut

Étudiant :

Partenaire :

Altus Assessments

Discipline :

Sociology

Secteur :

Education

Université :

University of Alberta

Programme :

Accelerate

The Pan-Canadian Immunoglobulin Database: Enabling Utilization Reporting and Personalized Treatment Using Data Mining Techniques for Immunoglobulin

Immunoglobulin (Ig) is a blood product that is used for people who either lack IgG antibodies or require immunomodulatory therapy for life-threatening autoimmune conditions. The use of Ig products continues to increase each year, at an average rate of 8%. The COVID-19 pandemic has introduced additional stress on the Ig supply due to a reduction in the collection of source plasma.
We will build a comprehensive database for Ig products using electronic health records and patient clinical information to gain in-depth understanding on why, where and to whom Ig products were used in Hamilton Ontario and Calgary Alberta. Data-driven models will be developed to investigate strategies to positively impact health outcomes and optimize Ig utilization. We will also assess the compliance with current provincial guidelines, and design tools to help electronic data collection and to achieve automated utilization reporting and audit.

Voir la description complète du projet
Superviseur du corps professoral :

Na Li;Douglas Down;Douglas Down;Na Li

Étudiant :

Partenaire :

Canadian Blood Services (ON)

Discipline :

Life Sciences

Secteur :

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

Université :

McMaster University; University of Calgary

Programme :

Accelerate

Development of Supervised and Unsupervised Computer Vision Methods to Quantify Salmon and Forage Fish Biodiversity from Underwater Video

Underwater video cameras are a convenient method to monitor aquatic life such as fish. However, these cameras can collect a lot of footage, which can be challenging for humans to process. This project will use computer vision to automatically sort through video taken within and near to seaweed farms to specify the clips that have fish in them. The computers will then help identify and count rare and common fish to describe how marine organisms use seaweed farms as habitat. This information helps companies like Cascadia Seaweed farm seaweed in better ways to promote marine biodiversity by making their farms better habitats for marine life.

Voir la description complète du projet
Superviseur du corps professoral :

Alexandra Branzan Albu;Francis Juanes

Étudiant :

Partenaire :

Cascadia Seaweed

Discipline :

Computer science

Secteur :

Sustainability & the Environment; Artificial Intelligence; Aquaculture and Fishing

Université :

University of Victoria

Programme :

Accelerate

Artificial Intelligence for Condition Assessment of Critical Infrastructure

Unexpected deterioration and failure of concrete infrastructure causes major disruptions and in the most severe
cases, results in lives lost. According to the 2019 Canadian Infrastructure Report Card, Canadian public
infrastructure is at risk therefore, detecting and addressing deterioration in such structures is crucial. The Damage
Rating Index (DRI), a reliable novel quantitative microscopic procedure, is currently used to assess deterioration
in concrete. Yet, its use is limited since it is time-consuming besides requiring experienced operators. Automating
the DRI using artificial intelligence (AI), reducing human error and increasing its accessibility leading towards more
complete diagnosis, has the potential to revolutionize the monitoring and management of critical concrete
infrastructure, enabling early detection, preventing minor disruptions and catastrophic failures and helping in the
selection of rehabilitation strategies to extend the lifespan of aging/deteriorating structures. Combined with the
collaboration of Englobe and their expertise in concrete materials, this project will achieve fruitful results.

Voir la description complète du projet
Superviseur du corps professoral :

Leandro Sanchez

Étudiant :

Partenaire :

Englobe

Discipline :

Engineering

Secteur :

Construction; Artificial Intelligence

Université :

University of Ottawa

Programme :

Accelerate

An Aerodynamic-Acoustic Design of an Electrical and Shrouded Tail Rotor

Aerospace industry innovations targets reduction of fuel consumption and noise emission. Electrical power-bywire
enabled technology address these challenges yielding lighter designs, increased operation flexibility and cost
reduction. With electric motors having variable rotational speed, constraints in design and optimization strategies
for rotor and propellers can be released. ln addition to conventional aircraft and rotorcraft, new concepts arise in
the urban air mobility or autonomous air delivery markets. Noise annoyance during manoeuvre and local
community noise concerns around heliports have to be addressed early by manufacturers. This research project
is intended to take on the challenge with the development of aerodynamic-aeroacoustic coupled optimization
methods for the design of quieter rotor and propellers. The objective of the partnership Bell Textron Canada
Limited and Optis Engineering is to develop a coupled aerodynamic-aeroacoustic optimization framework for an
electrical distributed anti-torque (EDAT) system to equip future Bell helicopters produced in Canada.

Voir la description complète du projet
Superviseur du corps professoral :

Marlène Sanjosé;Stéphane Moreau;Sivakumaran Nadarajah

Étudiant :

Partenaire :

Bell Textron Canada;Optis Consultants Inc

Discipline :

Engineering

Secteur :

Manufacturing; Transportation and warehousing

Université :

École de technologie supérieure; McGill University; Université de Sherbrooke

Programme :

Accelerate

Documentation et évaluation d’un projet de transition socio-écologique dans une perspective d’amélioration et de mise à l’échelle

La génération de déchets dans le secteur de la restauration a emporté est un fléau. Alors que la Ville de Montréal vient d’adopter un règlement interdisant l’utilisation de plastiques à usage unique, l’entreprise d’économie sociale Retournzy coop propose un modèle innovant d’économie circulaire et de partage de contenants réutilisables consignés sous forme d’un réseau. L’objectif de la recherche sera de documenter les résultats et indicateurs des opérations menées sur le terrain afin de formuler des recommandations quant à l’amélioration du processus dans une perspective de validation de l’intervention comme réponse à l’objectif de départ ainsi qu’une perspective de mise à l’échelle.

Voir la description complète du projet
Superviseur du corps professoral :

Luciano Barin Cruz

Étudiant :

Partenaire :

Retournzy Coop de Solidarité

Discipline :

Business

Secteur :

Real estate and rental and leasing

Université :

HEC Montréal

Programme :

Accelerate

Early Biomarkers for Prediction of Chemotherapy-induced RNA Disruption in Tumour Cells

Chemotherapy agents can induce the degradation of a molecule in tumour cells called RNA. We call this phenomenon “RNA disruption”. High tumour RNA disruption after about 1 month of chemotherapy predicts for complete tumour destruction and improved cancer patient survival. We and Rna Diagnostics, Inc. are using this knowledge to predict patient outcome from chemotherapy. Patients with tumours not exhibiting high RNA disruption are likely to benefit from discontinuing chemotherapy and moving on to other treatments. We now have knowledge of earlier events within tumour cells that precede RNA disruption. The student will example some of these earlier events, with the goal of possibly identifying new tools to predict chemotherapy treatment outcome even earlier during treatment.

Voir la description complète du projet
Superviseur du corps professoral :

Tom Kovala

Étudiant :

Partenaire :

RNA Diagnostics Inc

Discipline :

Life Sciences

Secteur :

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

Université :

Laurentian University

Programme :

Accelerate

Le profil du client selon l’aire de diffusion: une application au domaine culturel

Un des gros défis des entreprises culturelles et artistiques est celui de la connaissance de leur public. Cette connaissance est le principal fondement pour la mise en place d’actions marketing pertinentes (Colbert & Dantas, 2019). Certes, les informations fournies par les systèmes de billetterie sont utiles pour la prise de décision. Cependant, ces informations ne sont pas suffisantes pour dresser un profil du public consommateur de spectacles. Ainsi, à l’aide de données de billetterie (Tuxedo) correspondant à plus de 15 000 spectacles, de codes postaux (Postes Canada) et des aires de diffusion (Statistiques Canada), nous allons établir le profil des clients ayant acheté des billets pour chacun des spectacles analysés.

Voir la description complète du projet
Superviseur du corps professoral :

Danilo Dantas

Étudiant :

Partenaire :

Groupe iCible Inc.

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

HEC Montréal

Programme :

Accelerate

Cost-effective leachate treatment using aerobic granular sludge technology

Landfill leachate is a complex wastewater composed of organic carbon, nitrogen compounds, dissolved solids, and heavy metals. Leachate characteristics may differ depending on the waste landfilled, climate conditions, and landfill age. Because of the toxic and recalcitrant nature of its constituents, landfill leachate wastewater (LLW) must be treated before being released to the environment. There is an urgent need to develop robust and energy and cost efficient leachate treatment processes that can handle the high organic carbon and high ammonia loadings of leachate while be able to withstand the toxicity and inhibition that may arise due to the heavy metals of leachate.
In this two-year project, Dr. Liu’s research group at the University of Alberta will collaborate with the City of Edmonton, to develop and optimize aerobic granular sludge (AGS)-based nitritation/denitritation/anammox treatment processes for energy efficient high-strength LLW treatment. Pilot-scale bioreactors will be operated and optimized for enhanced ammonia reduction efficiency, improved energy efficiency and reduced environmental impacts for LLW treatment. The focus will be to determine the optimal conditions for LLW treatment and select the operation conditions and control strategies most favorable for developing a robust microbiome within bioreactors.

Voir la description complète du projet
Superviseur du corps professoral :

Yang Liu

Étudiant :

Partenaire :

City of Edmonton

Discipline :

Engineering

Secteur :

Administrative and support, waste management and remediation services; Public administration

Université :

University of Alberta

Programme :

Accelerate

Using Technology for Curriculum-Based Measurement of Literacy

We do not have an effective Canadian Curriculum-Based Measurement Tool. Moreover, existing tools do not incorporate Artificial Intelligence. We aim to develop a tool that will enable the targeted and brief assessment of gaps in student literacy skills with the aim of allowing strategic instruction to be planned and delivered based on those gaps. Identifying and addressing these gaps is critical to improving student trajectories and ensuring their later success. Year 1 of our joint research project will implement established programs to provide online tutorial sessions. These sessions will enable data collection so that we can begin the development of a Curriculum-Based Measurement Tool in year 2. This tool will be developed using models that were created with the Year 1 data.

Voir la description complète du projet
Superviseur du corps professoral :

Carrie Demmans Epp;Janet Werker

Étudiant :

Partenaire :

uLearnify Ltd.

Discipline :

Computer science

Secteur :

Education

Université :

University of Alberta

Programme :

Accelerate

Remotely Piloted Aircraft Systems for Precision Agriculture in Canadian Stone Fruit Orchards

On this project, the use of tethered remotely piloted aircraft systems to protect stone fruit orchards will be explored. The intern sill design and evaluate the performance of such aircraft systems and conduct both ground and in-flight testing of the system. BAAZ UAV will benefit from this technology and the potential deployment to support Canadian stone fruit producers in adapting to increasingly unpredictable and unfavourable growing conditions due to climate change.

Voir la description complète du projet
Superviseur du corps professoral :

Jeremy Laliberté

Étudiant :

Partenaire :

BAAZ UAV

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Carleton University

Programme :

Accelerate

Précédent
1...1,5021,5031,5041,5051,5061,5071,508...2,595
Suivant

Joignez-vous à un écosystème d’innovation florissant.

Abonnez-vous à notre infolettre dès maintenant!

S’inscrire

Mitacs — Retour sur innovation

Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.