Projets novateurs réalisés

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

30 508 projets complétés

2882
AB
5105
C.-B.
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
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Projets par catégorie

Study the dynamics of changes in the nutritional value of wetlands for important waterfowl species after removing the invasive species Phragmites australis from the ecosystem in the Ramsar wetland and international birding area on the northern shore of Lake Ontario called Long Point

The availability of vegetative forage material is a crucial factor in determining the quality of habitat for waterfowl. During their migratory staging, waterfowl rely on consuming seeds and tubers of specific wetland plants to build their energy reserves. Phragmites australis, an invasive species, provides very little forage value, and is known to degrade wetland habitat for migratory waterfowl. While native plants differ in their forage value for migratory waterfowl, they are generally superior to Phragmites australis, whose rhizomes are tough and inedible. My study aims to assess whether the plant species that colonize wetlands after the removal of Phragmites australis can lead to an increase in forage value for migratory waterfowl in Long Point, a Ramsar Wetland and Internationally Important Bird Area located on the north shore of Lake Ontario.

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Superviseur du corps professoral :

Rebecca Rooney

Étudiant :

Partenaire :

National University of Kyiv-Mohyla Academy

Discipline :

Earth science

Secteur :

Sustainability & the Environment; Environmental Science and Technology; Biotechnology

Université :

University of Waterloo

Programme :

Globalink Research Award

Development of biocompatible magnetic resin for 3D printing

The goal of this project is to fabricate biocompatible, magnetic inks for 3D printing of structures that offer controlled motion by weak magnetic fields for various medical benefits such as increased imaging contrast, magnetic guidance and positioning of the structures. This has potential applications in regenerative medicine, such as smart implants, 3D printing of tissue implants, but also soft biohybrid actuators in robotics.

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Superviseur du corps professoral :

Veronika Magdanz

Étudiant :

Partenaire :

Creative CADworks;University of Strathclyde

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Waterloo

Programme :

Accelerate

Using a novel sequencing method to explore signatures of viral mutation

Viruses can jump hosts and develop resistance due to genetic changes caused by mutations. Currently we have a limited
understanding of viral mutations as traditional genetic sequencing technology can only extract certain mutations (those that occur
at high frequency). Duplex seq is a sequencing technology able to detect rare mutations due to its very low error rate, however it
has not been implemented for analyzing viral mutations. Using this novel technique will allow for a comprehensive analysis of viral
mutations, yielding less biased results compared to traditional sequencing. We plan to use this technology to study the mutations
that incur in an algal virus as it develops resistance to its host, shedding light on how early mutations give rise to later viral
resistance.

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Superviseur du corps professoral :

Rob Ness

Étudiant :

Partenaire :

University of Konstanz

Discipline :

Life Sciences

Secteur :

Education

Université :

University of Toronto

Programme :

Globalink Research Award

Beyond endless frontiers: rethinking the social contract for science and innovation

The social contract for science and innovation is under strain. With the decline of trust, there are worrying signs of a public unsure about the value and authority of science in their everyday lives, and a growing disconnect between what the public increasingly sees as unapproachable, elitist institutions and what scientists see as a lack of public appreciation for the modes and merit of their work. At the same time, there have been major developments in the processes of science and innovation and their intersections with public policy, communications, and broad societal challenges. In this period of significant social, economic and environmental stresses, the need for science and innovation to be central to society’s response is even greater. The goal of this Mitacs grant is to work in partnership with a similarly titled SSRHC partnership development grant team and our industrial partner to examine the postwar social contract that underpins Canada’s scientific enterprise, and explore the elements of a new policy framework.

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Superviseur du corps professoral :

Peter Phillips;R. Sandra Schillo

Étudiant :

Partenaire :

Institute on Governance

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

University of Saskatchewan

Programme :

Accelerate

Reward circuits neuroprosthesis to shape movement execution

Most neurotraumas affecting the control of movements are partial, allowing some recovery of movement with time and rehabilitation. Motivation and persistence through this difficult process are crucial in mediating rehabilitation-dependent recovery, but are negatively affected by the physical and psychological challenges that accompany neurotrauma. We know that the reward network of the brain is involved in both the learning and reinforcement of behavior, as well as the recovery of motor functions after injury, but its conditioning of precise movements in an interventional rehabilitation context has not been attempted. We seek to determine whether brief, temporally precise neurostimulation of this network could help shape and reinforce the execution of targeted movements during rehabilitation, boosting recovery. To this end, we will develop and test the effectiveness of a neuroprosthesis where electrical deep brain stimulation (DBS) of the lateral hypothalamus (a major structure of the reward network) is delivered contingently with the execution of specific limb movements of intact and spinal-injured rats in clinically-relevant motor tasks.

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Superviseur du corps professoral :

Marco Bonizzato

Étudiant :

Partenaire :

Erasmus University Medical Center

Discipline :

Life Sciences

Secteur :

Technology; Life Sciences (not health); Health and Related Sciences & Technology

Université :

Université de Montréal

Programme :

Globalink Research Award

Design improvement of novel textile garment technology

In this project, we focus on a composite wearable system that combines a kirigami pattern with fabrics with the goal of realizing a wearable garment that can morph and conform to human body parts. Preliminary results have shown challenges on the fronts of manufacturing and attainable performance, i.e. the integration of the textiles and the accomplishment of the desired morphing capacity. The goal of this project is to solve the problems by resorting to a combined approach of computational analysis, structural optimization and manufacturing of proof-of-concept prototypes.

Voir la description complète du projet
Superviseur du corps professoral :

Damiano Pasini

Étudiant :

Partenaire :

CXC

Discipline :

Engineering

Secteur :

Agriculture; Professional, scientific and technical services

Université :

McGill University

Programme :

Accelerate

Modeling Impacts of Cyberattacks on Financial Assets Valuation

This research aims to create a platform that can predict the impacts of cyberattacks on various financial assets, such as bonds, stocks, and a company’s credit risk. The focus is on the impacts of cyberattacks on the prices of financial assets listed on the Toronto Stock Exchange (TSE). Still, the prediction models and tools developed should also be applicable to assets listed in other comparable markets. The project has four main objectives: understanding the relationship between the type, impact, and severity of cyberattacks and trading activities; modelling the behaviour of liquidity providers in response to major cyberattack news; modelling the longterm impacts of cyberattacks on companies’ credit risk; and devising an ensemble of deep learning agents to predict the price movement of companies’ stocks, bonds and offer real-time trading signals. This research makes significant contributions to machine learning-based modelling of the effects of rare events on financial asset pricing, specifically focusing on the short and long-term impacts of cybersecurity attacks.

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Superviseur du corps professoral :

Davar Rezania

Étudiant :

Partenaire :

Cyber Maple Ltd

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

University of Guelph

Programme :

Accelerate

Mesure du comportement en fatigue de métaux d’apport de haute résistance pour la réparation in-situ de fissures sur les roues de turbines hydrauliques

Les roues de turbines hydrauliques au nombre de 350 dans le parc de production d’Hydro-Québec fournissent la quasi-totalité de la puissance électrique disponible au Québec. Elles sont donc des composantes stratégiques. l
Conçues pour une vie utile de 70 ans, elles dépassent rarement le cap des 15 ans sans subir à répétition des réparations suite à l’apparition de fissures de fatigue, sans compter les dommages occasionnés par les mécanismes d’érosion de cavitation.
Les fissures de fatigue dans les aubes de turbines sont particulièrement pernicieuses car elles sont souvent difficiles à détecter et peuvent se communiquer à la couronne et à la ceinture de la roue lorsqu’elles ne sont pas réparées dès leur apparition.
Les roues de turbines comportent trois sections, la couronne, l’aubage et la ceinture. Ces sections sont assemblées en usine en soudant les aubes à la couronne et à la ceinture. Les fissures se produisent en service dans les joints soudés. La réparation en place ne peut être effectuée avec le même métal d’apport utilisé en usine. Il y a un enjeu sur les plans intégrité structurale et sécurité. Il faut avoir recours à des aciers d’un autre type.

Voir la description complète du projet
Superviseur du corps professoral :

Henri Champliaud;Mohammad Jahazi

Étudiant :

Partenaire :

Institut de Recherche Hydro-Québec

Discipline :

Engineering

Secteur :

Professional, scientific and technical services; Utilities

Université :

École de technologie supérieure

Programme :

Accelerate

Smart waste management app: efficient waste separation from visual footprints – Smart waste classification framework

Plastic has become ubiquitous in our daily lives, finding its way into a wide variety of products and applications. However, the extensive use of plastic, coupled with improper disposal and inadequate recycling practices, has significant economic and environmental consequences, posing a severe threat to our planet.
In Canada alone, a staggering 3 million tons of plastic waste are generated annually, with only 9% of that waste being recycled and a staggering 91% ending up in landfills. This alarming statistic highlights the inadequacy of current recycling policies, underscoring the need for smart, innovative solutions and technologies to address this critical issue.
To tackle this challenge, we propose the development of a smart waste management app that will enhance the efficiency of waste separation at the consumer level. By leveraging the power of technology, this app will empower consumers to make informed decisions about how they dispose of their waste and encourage them to adopt more sustainable habits
Through the use of camera and machine learning algorithms, the app will be able to identify and sort different types of waste, ensuring that materials are appropriately separated for recycling or other forms of disposal. By providing users with real-time feedback on their waste disposal practices and the environmental impact of their actions, the app will promote greater awareness and accountability, ultimately leading to more sustainable outcomes.

Voir la description complète du projet
Superviseur du corps professoral :

Nasim Hajari

Étudiant :

Partenaire :

Roseridge Waste Management Centre

Discipline :

Computer science

Secteur :

Administrative and support, waste management and remediation services

Université :

Concordia University of Edmonton

Programme :

Business Strategy Internship

Summer Student Intern Project- SAFER- Safety Leadership for CEO’s/Administrators in Nova Scotia Health and Community Service Sectors

The project intern will play a key role in contributing to the development and implementation of SAFERi Safety Leadership Program, communication planning and development of an evaluation strategy to determine the effectiveness of the SAFERi Safety Leadership for CEOs in Nova Scotia’s Long-Term Care, Home Care, and Disability Support Program organizations.

Voir la description complète du projet
Superviseur du corps professoral :

Kevin Kelloway

Étudiant :

Partenaire :

AWARE-NS

Discipline :

Business

Secteur :

Health and Related Sciences & Technology

Université :

Saint Mary's University

Programme :

Business Strategy Internship

Caractérisation d’un système terahertz d’imagerie multispectrale

L’imagerie THz multispectrale est une technologie prometteuse qui peut révolutionner le contrôle de la qualité dans des secteurs tels que l’aérospatiale et l’alimentation. Cette technique d’imagerie utilise le rayonnement térahertz pour créer des images détaillées d’objets, qui peuvent être utilisées pour détecter des défauts cachés et des contaminants qui ne sont pas visibles à l’œil nu.
Dans l’industrie aérospatiale, l’imagerie THz multispectrale peut être utilisée pour identifier les défauts des matériaux composites utilisés dans la construction des avions, ce qui peut contribuer à prévenir des défaillances catastrophiques. De même, dans l’industrie alimentaire, cette technologie peut être utilisée pour identifier les contaminants tels que les corps étrangers dans les produits alimentaires, ce qui peut améliorer la sécurité alimentaire et réduire le risque de maladies d’origine alimentaire.
L’imagerie THz multispectrale peut également être utilisée pour effectuer des tests non destructifs sur les produits, ce qui permet de réduire les déchets et les coûts. En identifiant rapidement les défauts ou les contaminants dans les produits, les fabricants peuvent éviter des rappels coûteux et améliorer la satisfaction des clients.
Dans l’ensemble, l’imagerie THz multispectrale a le potentiel d’améliorer considérablement le contrôle de la qualité dans diverses industries, ce qui se traduit par des produits plus sûrs

Voir la description complète du projet
Superviseur du corps professoral :

François Blanchard

Étudiant :

Partenaire :

National Optics Institute (QC)

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

École de technologie supérieure

Programme :

Accelerate

Product Development to Scale Low Carbon Business Intelligence

Acuicy Inc. is a growth-stage startup based in Halifax. The organization is an innovative business intelligence platform that provides tailored, data-driven insights, helping managers identify and deploy their company’s most capital-efficient clean technology solutions. Acuicy leverages the power of business intelligence, climate science, and economics to provide effective decarbonization strategies and delivers custom business cases with ROI calculated for various strategies. Initial work has been led by the Co-Founders to identify the market gap and need for this type of platform, define the product, and outline the business plan. This project will help the Co-Founders address our core challenge at this growth stage, which is the need to move quickly into customer discovery
over the next three months, in order to further iterate the MVP into a beta version as we move towards market launch in early 2024. This project will help us to pilot software and adjust and validate our assumptions in the MVP version of the software with real-world insights from target customers. Successfully completing the objectives of this project will allow us to move on to the next stage of business development and attract the initial seed funding that we need to grow.

Voir la description complète du projet
Superviseur du corps professoral :

Pawan Lingras

Étudiant :

Partenaire :

Acuicy

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

Saint Mary's University

Programme :

Business Strategy Internship

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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.