Projets novateurs réalisés

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

29 670 projets achevés

2811
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4990
C.-B.
801
MB
663
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825
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8841
ON
9197
QC
95
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568
NB
1088
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Projets par catégorie

Design and Development of a Mobile-based Medical Image Archiving System for Skin Cancer Screening

This project will help to design and develop the user interface and an image picture archiving and communication system (PACS) for mobile teledermatology for use in an application of skin imaging. This will enable both patients and specialists to acquire, archive and manage dermatological images for further diagnosis, triage and follow-up purposes. The project goals are to design, implement and evaluate the app interface of the new “MoleScope” dermoscope which attaches to a smartphone camera, in order to acquire and store images. One aspect of this interface is to provide a 2D body-map for users to locate the imaged lesions on the body for future follow-up. Also, this project will design and implement the desktop web-based interface for the specialist to evaluate acquired mole images (the clinical software). This requires implementing the communication module which will interact with a patient electronic management system, and includes

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Superviseur du corps professoral :

M. Stella Atkins

Étudiant :

Partenaire :

MetaOptima Technology Inc

Discipline :

Computer science

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Accelerate

Decolonizing knowledge mobilization to advance Indigenous led conservation and reconciliation

The objective of this research project is to build capacity among Indigenous Nations and the
conservation sector to catalyze reconciliation through the establishment of Indigenous Protected and
Conserved Areas (IPCAs). To do so, this we will investigate how knowledge and evidence-based
research can be effectively communicated in cross-cultural and Indigenous contexts. While the field of
“knowledge mobilization” offers researchers a wealth of information on turning research into action, the
field has been slow to adopt decolonial approaches. Partnering with two Indigenous-led
organization/initiatives—the IISAAK OLAM Foundation and Conservation through Reconciliation
Partnership—and informed by many collaborators, we will generate a diverse suite of informative
outputs. In addition to open-access articles, these may include guides, educational modules, summaries,
infographics, evaluation frameworks, etc. This project will directly support the IISAAK OLAM
Foundation and Conservation through Reconciliation Partnership, including two major initiatives: IPCA
Knowledge Basket and the Pacific IPCA Innovation Centre.

Voir la description complète du projet
Superviseur du corps professoral :

Terre Satterfield;Don Carruthers Den Hoed

Étudiant :

Partenaire :

IISAAK OLAM Foundation

Discipline :

Sociology

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Examining social innovation engagement models to promote social cohesion and equity via climate action

This project looks at the drivers, impact and actor-groups that lead to successful Social Innovations.
Social Innovation has prominence in both the public and private sectors, as a way to reform societal relations and create system level change, in the structure of relationships with the goal of empowering community actors to lead the development of solutions to challenges impacting them.
There is a general consensus that SI has positive results; however, there are questions in academia around whether SI actually results in improvements.
The work of Inspiring Communities will be observed and analysed to deeply understand the organization’s social innovation approach and reveal the impact of processes on systems level change. Insight into how social cohesion impacts the effectiveness of initiatives will inform a case study on how a rallying point such as climate action can be used to engage communities and sustain resident participation in interventions in novel ways

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Superviseur du corps professoral :

Chantal Hervieux

Étudiant :

Partenaire :

Inspiring Communities

Discipline :

Sociology

Secteur :

Other services (except public administration)

Université :

Saint Mary's University

Programme :

Accelerate

Analysis and optimization of conceptual landing gear designs

This project, sponsored by Safran Landing Systems Canada (SafranLS), involves the development of engineering techniques that enable rapid conceptual design of aircraft landing gear. The goal is to speed the early design of new landing gear to enable SafranLS to produce more, faster bids to manufacture landing gear for new aircraft at their two Canadian sites. The interns engaged on this project will be using existing SafranLS data to improve models for kinematic optimization and parameter estimation, and implement these models in computational codes that are intended for use by SafranLS engineering staff. In total, there will be eight four-month internship units among six interns during the course of the project. These interns will get critical training in mechanics and design of landing gear, and will interact with the SafranLS design engineers throughout their internship terms.

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Superviseur du corps professoral :

Craig Steeves

Étudiant :

Partenaire :

Safran Landing Systems

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Toronto

Programme :

Accelerate

Field Assessment of Infrastructure Carrying Capacity

Over the last five years, it has become possible to estimate the capacity of existing, sometimes damaged,
utilities and other infrastructure systems to support the local population in war zones. This estimation
currently relies on satellite data to provide a basic map of what infrastructure is where. However, it is
often difficult o get access to current satellite data while the war continues, amid security concerns by
either side. Therefore, a simpler approach is needed that allows relief and reconstruction planners to gain
sufficient understanding of the actual infrastructure capacity using only field observations and interviews
by local Red Cross personnel. This research seeks to establish generic models for each critical
infrastructure system to inform that field data collection. Success would represent a significant step
towards more efficient and timely reconstruction planning that directly benefits the local population and
alleviates suffering by the most vulnerable.

Voir la description complète du projet
Superviseur du corps professoral :

David Meyer

Étudiant :

Partenaire :

SHL

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Investigating astrocyte responses in brain metastasis of HER2-positive breast cancer

Brain metastasis of breast cancer has a very poor prognosis in patients. Treatment options are limited because the blood-brain-barrier prevents drugs from entering the brain. Importantly, we are lacking information on how brain cells are supporting the growth of metastatic breast cancer cells. Using HER2-positive breast cancer cells isolated from a patient brain metastasis the Hombach lab has established a mouse model to study the responses of astrocytes, the most abundant glial cells in the brain, to brain metastatic tumors. Astrocytes will be isolated from the mouse brain at early and late time points of metastatic development to determine changes in their gene expression profile. We will validate selected genes and will use mouse brain tissue sections to study their localization. This will allow us to identify the responses of astrocyte in the vicinity of brain metastasis and inform us on novel therapeutic targets to explore in the future.

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Superviseur du corps professoral :

Sabine Hombach-Klonisch

Étudiant :

Partenaire :

Dr. D. Y. Patil Biotechnology & Bioinformatics Institute

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

University of Manitoba

Programme :

Globalink Research Award

Les as de l’info : analyse d’un dispositif numérique devant contribuer à combattre la désinformation chez les jeunes et leurs familles

Dans le contexte communicationnel et technologique actuel, les enfants se retrouvent face à une prolifération d’informations et de contenus. Cette dynamique ouvre grande la porte un phénomène de désinformation poussé, tout particulièrement, par la communication numérique. Or, le numérique est aussi porteur d’opportunités de contre-information et les enfants ont la capacité de se montrer critiques et actifs face aux contenus qu’ils consomment. Dans le cadre de ce projet de recherche partenariale mené avec le média jeunesse numérique Les as de l’info (média destiné aux 8-12 ans), nous désirons évaluer le rôle que peut jouer ce dispositif en ligne dans le combat contre la désinformation chez les jeunes et leurs familles.

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Superviseur du corps professoral :

Olivier Champagne-Poirier;Marie-Ève Carignan

Étudiant :

Partenaire :

Le Quotidien

Discipline :

Sociology

Secteur :

New and Digital Media; Entertainment and Media

Université :

Université de Sherbrooke

Programme :

Accelerate

Synoptic conditions of rain-on-snow related environmental and operational issues in forestry activities on Vancouver Island, British Columbia, Canada

Watersheds in the coastal regions of British Columbia are comprised of rugged mountains and high storm
runoff, rendering streams prone to increases in snowmelt during rain-on-snow (ROS) events due to forest
harvesting. Importantly, both forest harvesting operations and ROS events are widespread in the transitional snow
zones of Vancouver Island, BC. Correspondingly, they routinely experience ROS events associated with flooding,
runoff, and landslides which pose a number of challenges to forestry companies. Knowledge of the processes
regulating snowmelt during ROS events is useful when making operational decisions; despite this, uncertainty
persists in the relationship between forestry operations and ROS events. Future climate and wildfires are likely to
continue to alter snow dynamics in these areas, and thus, improved understanding of ROS events should remain
a key priority. The goal of this project is to increase understanding of the weather and hydrological factors that
contribute to damaging outcomes from ROS events with respect to forest harvesting activities on Vancouver
Island, BC. This will improve our ability to estimate and adapt to the cumulative effects of forestry practices and
climate change across watersheds, and forecast the arrival of ROS events in the future.

Voir la description complète du projet
Superviseur du corps professoral :

David Atkinson

Étudiant :

Partenaire :

Mosaic Forest Management Corp

Discipline :

Earth science

Secteur :

Agriculture

Université :

University of Victoria

Programme :

Accelerate

Implementation of Tensor Neural Networks

Tensor networks are a quantum inspired technique that provide useful mechanisms for solving hard problems, usually in the realm of quantum mechanics and many-body systems, through the manipulation and operation of tensors. The main challenge underlying this project is the productionalization of a quantum-inspired deep learning algorithm which currently exists as a proof of concept (POC). That POC was specifically built for a single user’s needs, applied to the fair pricing of financial derivatives.

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Superviseur du corps professoral :

Hausi Müller

Étudiant :

Partenaire :

Multiverse Computing

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Victoria

Programme :

Accelerate

L’analyse automatique de la subjectivité dans les articles de presse en français du Québec

A partir d’un corpus d’articles de presse publiés au Québec en français, nous cherchons à comprendre les mécanismes linguistiques de la subjectivité dans les textes journalistiques. Notre objectif est de confronter l’efficacité des méthodes statistiques d’analyse de la subjectivité, basées sur la théorie linguistique, avec les performances inégalées mais peu transparentes des approches utilisant l’apprentissage automatique pour distinguer les articles neutres et subjectifs. Notre projet s’appuie également sur des annotations humaines d’articles journalistiques pour déterminer quels sont les marqueurs de l’opinion de l’auteur dans un texte de presse. En combinant ces différentes approches, nous créons un modèle hybride aussi efficace qu’explicable pour l’analyse automatique de la subjectivité. Nos résultats sur le français du Québec seront comparés avec ceux obtenus sur un corpus similaire d’articles de presse en français de Belgique, afin d’observer les différences entre ces deux variétés concernant la matérialisation linguistique de la subjectivité dans la presse.

Voir la description complète du projet
Superviseur du corps professoral :

Patrick Drouin

Étudiant :

Partenaire :

Université Catholique de Louvain

Discipline :

Sociology

Secteur :

Education

Université :

Université de Montréal

Programme :

Globalink Research Award

Development of a method to predict the remaining useful life of a mill roll for grain milling

In grain processing, milling usually plays a key role. The efficiency of the milling process is key to the profitability of the process and is decisive for the quality of the final product. However, milling is often subject to wear problems. Indeed, the degradation of the rolls varies over time depending on factors that are difficult to quantify, especially in an uncertain environment. This research project will provide a data-driven method for the prediction of the remaining useful life (RUL) of rolls in grain milling. RUL prediction is used to forecast the future performance of machinery and obtain the time left before machinery loses its operation ability. The prediction of the RUL of the rolls would be beneficial to plan maintenance in advance and would allow a better control of the production process. Data-driven methods attempt to explain the wear and tear of a machine based on collected data from the shop floor using machine learning techniques. The method will specify the selection of the most relevant attributes for the prediction of the RUL of rollers in grain processing.

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Superviseur du corps professoral :

Bruno Agard

Étudiant :

Partenaire :

Centro de Inovação e Tecnologia SENAI FIEMG - Campus CETEC

Discipline :

Life Sciences

Secteur :

Manufacturing and Construction; Artificial Intelligence; Agriculture and Food

Université :

Polytechnique Montréal

Programme :

Globalink Research Award

A transformative vision for Winnipeg’s inner city

Inner-city organizations in Winnipeg have long called for transformation of the policies and practices that created injustice for inner-city residents. This year’s State of the Inner City report uses precedent studies to identify funding models that foreground community leadership, and knowledge translation and community development events to celebrate the people and community organizations of the inner city. Its objective is to advance the inner city community’s vision of social and economic transformation through the creation of community-based calls to action and a toolkit that can be used to advocate for the inner city to the governments of Winnipeg, Manitoba and Canada.

Voir la description complète du projet
Superviseur du corps professoral :

Sarah Cooper

Étudiant :

Partenaire :

Canadian Centre for Policy Alternatives

Discipline :

Sociology

Secteur :

Public Service, Policy, and Governance

Université :

University of Manitoba

Programme :

Accelerate

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