Projets novateurs réalisés

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

30156 projets achevés

2861
AB
5059
C.-B.
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projets par catégorie

Arts Junktion Development

Engaging on-site at ArtsJunktion to acclimate to the environment. Responsibilities will encompass organizing the received donations, designing three distinct craft workshops, assisting during shopping days for craft supplies available to those in need, and offering support to the program coordinator. This involvement will advantage the organization by contributing an additional staff member to provide assistance where required.

Voir la description complète du projet
Superviseur du corps professoral :

Shauna MacKinnon

Étudiant :

Partenaire :

ArtsJunktion

Discipline :

Sociology

Secteur :

Arts, entertainment and recreation; Health and Related Sciences & Technology

Université :

University of Winnipeg

Programme :

Business Strategy Internship

Medicine Wheel Publishing – Orange Shirt Day Book Launch

This project focuses on launching a new Orange Shirt Day book to mark a historic milestone in 2026, signaling the first graduating class of students who have participated in Orange Shirt Day throughout their entire K-12 education. Medicine Wheel Publishing is collaborating with the Orange Shirt Society to create a meaningful book that highlights stories and reflections connected to this moment. The intern will help gather and organize stories, assist with editing and design, create marketing strategies, and prepare the book for publication. This project supports Medicine Wheel Publishing’s mission to share authentic Indigenous stories, promote Truth and Reconciliation, and increase access to culturally respectful resources in schools and libraries. It will strengthen Medicine Wheel Publishing’s leadership in decolonized publishing and deepen their impact in educational spaces.

Voir la description complète du projet
Superviseur du corps professoral :

John Maxwell

Étudiant :

Partenaire :

Medicine Wheel Publishing

Discipline :

Sociology

Secteur :

Information and cultural industries

Université :

Simon Fraser University

Programme :

Business Strategy Internship

Internship at Voronoi Health Analytics

This project will help Voronoi Health Analytics improve and refine their advanced artificial models used for automating interpreting and analyzing medical images. The intern will help with data collection processes that are required in order to train state of the art AI models for automating medical image analysis, resulting in more efficient and effective health outcomes.

Voir la description complète du projet
Superviseur du corps professoral :

Matthew Hamilton

Étudiant :

Partenaire :

Voronoi Health Analytics Incorporated

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

Memorial University of Newfoundland

Programme :

Business Strategy Internship

Analyse du rôle et de l’impact des critères substituts dans l’homologation et le remboursement des médicaments anticancéreux au Canada.

Lorsqu’un nouveau traitement est évalué dans les études cliniques, des critères cliniques sont utilisés pour mesurer son efficacité en fonction de l’état du patient, notamment comment il se sent, fonctionne ou survit. Cependant, ces critères peuvent nécessiter un suivi prolongé avant de fournir des résultats concluants dans la recherche clinique en oncologie. Pour accélérer l’évaluation des traitements, des critères substituts peuvent être utilisés. Ce sont des paramètres intermédiaires qui permettent de prédire plus rapidement l’effet d’un médicament sans attendre des résultats à long terme, comme la survie globale. Par exemple, la mesure de la maladie résiduelle minime peut donner une indication précoce de l’efficacité d’un traitement contre le cancer. Ainsi, l’intégration des critères substitutifs dans les demandes de remboursement auprès d’agences comme l’Agence des Médicaments du Canada et l’Institut National d’Excellence en Santé et Services Sociaux au Canada est un enjeu clé. Elle permet de faciliter l’accès aux anticancéreux tout en assurant leur valeur clinique ajoutée pour les patients. Dans ce contexte, ce projet de stage vise à analyser comment les critères substituts sont pris en compte dans les demandes d’homologation et d’évaluation du remboursement des médicaments anticancéreux au Canada, afin d’identifier les tendances, les défis et les opportunités.

Voir la description complète du projet
Superviseur du corps professoral :

Catherine Beauchemin

Étudiant :

Partenaire :

Pfizer Canada (Kirkland, QC)

Discipline :

Life Sciences

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Accelerate

Quantum Black Holes

For a long time, scientists have been trying to unify the theory of gravitation with quantum physics. Quantized gravity is necessary to correctly describe phenomena where huge masses combine with tiny dimensions such as at the big bang or in black holes. The latter can be observed and thus can serve as an ideal testbed for theories of quantum gravity. Although full quantum gravity still hasn’t been achieved, quantum black holes have been studied in a semi-classical approach, where quantum corrections of matter are taken into account through the energy-momentum tensor, its classical version being replaced by an expectation value of its quantum counterpart. In this project, we aim to continue on this path. We shall construct quantum charged and spinning black holes in the context of non-linear electrodynamics and we will explore their thermodynamic behaviour. This work is of high importance for the field of theoretical physics and will be highly beneficial for participating institutions since it presents the most current research and can bring fascinating discoveries in the branch of black hole physics.

Voir la description complète du projet
Superviseur du corps professoral :

Robert Mann

Étudiant :

Partenaire :

Charles University

Discipline :

Physics

Secteur :

Other; Quantum Science

Université :

University of Waterloo

Programme :

Globalink Research Award

Optimizing Resource Allocation in Satellite-Assisted Hybrid Quantum–Classical Networks

This project brings together ÉTS Montréal and the American University of Beirut to design smarter ways for satellites and ground stations to share network resources so that next generation of quantum secure communications can run in a optimized way. Using quantum computer simulations, the intern will test new matching and learning algorithms that decide, in real time, which links and bandwidth each user should get, balancing speed, reliability, and security. The work will give ÉTS practical tools and fresh data for Canada’s emerging quantum network programs, while AUB gains hands on experience with advanced network design; strengthening both partners and helping move the world closer to a truly global, secure internet.

Voir la description complète du projet
Superviseur du corps professoral :

Georges Kaddoum

Étudiant :

Partenaire :

American University of Beirut

Discipline :

Engineering

Secteur :

Quantum Science; Artificial Intelligence; Information and Communications Technology

Université :

École de technologie supérieure

Programme :

Globalink Research Award

AI-assisted Recommendation System for False Positive Reduction at Security Operations Centers

Security Operations Centers (SOCs) are responsible for detection and review of malicious interactions. The SOC issues tickets for interactions that are considered suspicious or threatening. These tickets are then inspected by analysts for approval. For sake of safety, this ticketing system often issues too many “false positives”, i.e., it alerts for interactions that are not really threatening. While this keeps the security level high, it can cause analyst fatigue due to high volume of unnecessary ticket reviews. This project aims to develop an AI-assisted system to refine detection mechanisms at SOCs and reduce the issue of unnecessary alerts. This can contribute significantly in enhancing SOC efficiency by both decreasing the number of false positives and reducing the number of reports being processed by the analyst in a certain time period.

Voir la description complète du projet
Superviseur du corps professoral :

Ali Bereyhi

Étudiant :

Partenaire :

GlassHouse Systems

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Exploring How Mathematics and Literacies Homework is Taken Up the Context of After School/Summer Programs

Our current research is focused on homework policies, how teachers enact such policies, and how homework impacts family life. Extending that work into this proposed MITACS research project, we aim to examine after-school and summer programs and how such programs are connected to schools and homework. This project will provide insights into how mathematics and literacy are taken up outside of the context of school. The partner organization will provide a space for an after school/summer program where an intern will work with children in mathematics and literacy. The project will recruit an intern to help organize and support new and existing programs with the partner organization. The proposed research aims to: a) investigate how mathematics and literacies homework is taken up the context of after school/summer programs (b) examine students’ perceptions of what constitutes math and literacy and (c) support learning during the summer months.

Voir la description complète du projet
Superviseur du corps professoral :

Carolyn Clarke

Étudiant :

Partenaire :

Pictou-Antigonish Regional Library

Discipline :

Sociology

Secteur :

Public administration

Université :

St. Francis Xavier University

Programme :

Accelerate

Research intern for leaf morphodynamics

The ability for movement to adjust posture and growth in response to environmental stimuli is important for plants as sessile organisms. This project aims to understand how mechanics regulate plant movement by studying leaf movement in Arabidopsis. This research combines cutting-edge imaging and mechanical modeling techniques from both the host institution, Université de Montréal, and the home institution, Nara Institute of Science and Technology, to explore the driving mechanism of the movement from a multi-scale mechanical perspective. This project strengthens international collaboration between the two institutions and promotes research in multiscale morphodynamics, contributing to advancing the field of plant biomechanics.

Voir la description complète du projet
Superviseur du corps professoral :

Daniel Kierzkowski

Étudiant :

Partenaire :

Nara Institute of Science and Technology

Discipline :

Life Sciences

Secteur :

Life Sciences (not health)

Université :

Université de Montréal

Programme :

Globalink Research Award

Revue systématique sur l’utilisation des technologies en prévention des troubles des conduites alimentaires : portrait des approches actuelles et recommandations

Le projet vise à identifier les modalités technologiques (ex., application mobile, messagerie instantanée, jeux sérieux, etc.) utilisées dans les interventions existantes pour prévenir les TCA; et comparer leurs efficacités. De plus, ce projet examinera les différents publics cibles et les caractéristiques des individus ciblés par les interventions numériques existantes pour prévenir les TCA. Cela inclut, par exemple, l’âge, le sexe et le rôle (ex., parent, éducateur, enfant, etc) des individus ciblés. Nous comparerons également l’efficacité des interventions préventives selon ces différents contextes. Les retombées potentielles du projet incluent la génération des connaissances qui pourraient mener à des répercussion concrètes en TCA, où les besoins en prévention sont incontestables et une meilleure compréhension comment la technologie peut être mise à profit comme outil de prévention en TCA. De plus, nous serons également en mesure d’identifier les lacunes et d’émettre des recommandations quant aux approches optimales, en plus de clarifier si l’efficacité et la pertinence des interventions varient en fonctions des caractéristiques de leurs public cibles. Le stagiaire sera capable d’acquérir et d’améliorer ses compétences en recherche dans des domaines variés, dont la psychiatrie, la méthodologie et la technologie en développant plusiers aptitudes essentiells en recherche.

Voir la description complète du projet
Superviseur du corps professoral :

Édith Breton

Étudiant :

Partenaire :

Tilburg University

Discipline :

Life Sciences

Secteur :

Technology; Health and Related Sciences & Technology; Agriculture and Food

Université :

Université du Québec à Chicoutimi

Programme :

Globalink Research Award

Conformal prediction, fairness and calibration

The internship focuses on the intersection of mathematics, machine learning, and ethical AI, specifically within the domains of conformal prediction, fairness, and calibration. Conformal prediction is a statistical framework that provides mathematically rigorous confidence measures for machine learning predictions, ensuring that the uncertainty quantification is valid under minimal assumptions. In this project, the goal is to explore how conformal prediction methods can be extended or adapted to meet fairness criteria, addressing biases that may arise in datasets or prediction algorithms.

Voir la description complète du projet
Superviseur du corps professoral :

Masoud Asgharian;Arthur Charpentier

Étudiant :

Partenaire :

Layer 6 AI

Discipline :

Mathematics

Secteur :

Finance and Insurance; Professional, scientific and technical services

Université :

McGill University

Programme :

Accelerate

Analyzing process data alongside traditional item responses to obtain more accurate imputation, offering a deeper understanding of respondent behavior and enhancing the quality of imputing missing responses

This project aims to enhance proficiency estimation in large-scale assessments by improving missing-data imputation techniques. Specifically, the study focuses on refining Multiple Imputation with Denoising Autoencoders (MIDAS)—a deep learning-based approach—by incorporating item response time as an additional contextual feature. Unlike traditional item response theory (IRT) or regression-based methods, which rely on strong assumptions, the proposed approach leverages the flexibility of deep learning to better handle the complexity and dimensionality of large-scale assessment data.

Voir la description complète du projet
Superviseur du corps professoral :

Ying Cui

Étudiant :

Partenaire :

ETS Canada;ETS Global;Educational Testing Service

Discipline :

Sociology

Secteur :

Education; Professional, scientific and technical services

Université :

University of Alberta

Programme :

Accelerate

Précédent
1...443444445446447448449...2,513
Suivant

Joignez-vous à un écosystème d’innovation florissant.

Abonnez-vous à notre infolettre dès maintenant!

S’inscrire