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

Developing trajectory predictions for AI-enabled psychiatric clinical decision support systems – Aifred Health

Aifred Health has developed an AI-powered clinical decision support system to support doctors treating patients with depression, which is currently under clinical trial. This project aims to improve Aifred’s existing offering by developing technology for trajectory predictions. This technology can be used for several applications involving time-series data, including tracking patient treatment progress. This will enable Aifred Health to continue to offer first-of-its-kind solutions within its clinical decision support system, all to improve the treatment of mental illness.

Voir la description complète du projet
Superviseur du corps professoral :

Svetlana Yanushkevich

Étudiant :

Partenaire :

Aifred Health Inc

Discipline :

Computer science

Secteur :

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

Université :

University of Calgary

Programme :

Business Strategy Internship

Water Conservation Systems Augmentation

The project will involve investigating rehabilitation options for Jordan’s Pond in Stratford, PE with regards to the water quality of the pond and hydrology related to the berm that is in place. Data analysis of historical water quality reports will be done to help create standard procedures for water quality monitoring in Stratford.

Voir la description complète du projet
Superviseur du corps professoral :

Bryan Grimmelt

Étudiant :

Partenaire :

Town of Stratford;Stratford Area Watershed Improvement Group

Discipline :

Physics

Secteur :

Public administration

Université :

Holland College

Programme :

Business Strategy Internship

Habiter les territoires de la violence à Port-au-Prince (Haïti)

Ce projet s’intéresse à l’impact de la violence armée sur les femmes et sur les autres groupes vulnérables vivant dans les quartiers pauvres de Port-au-Prince contrôlés par des gangs armés. Il vise à mieux connaître les enjeux sociaux de cette problématique et à renforcer les capacités des actrices et acteurs locaux accompagnant les femmes et autres groupes vulnérables victimes de ces violences. Une enquête sera menée auprès de victimes directes et indirectes de ces violences, auprès d’individus liés à ces groupes armés, de leaders communautaires et de responsables d’ONG intervenant dans le domaine des violences faites aux femmes et dans celui des droits de la personne. Il ciblera en particulier les quartiers de Martissant, Bel-Air, Bas Delmas, La Saline et Cité Soleil. Ce projet ouvrira la porte à une compréhension plus fine de ce type de violence et fournira des données probantes aux décideurs haïtiens et internationaux, leur permettant ainsi de mieux orienter leurs interventions auprès de ces communautés vulnérables que ce soit en Haïti ou dans tout autre pays confronté à de telles situations. Des articles destinés à la communauté scientifique seront produits, des interventions médiatiques (articles de presse, interventions, conférences-débats) seront élaborées et des formations sur mesure seront données.

Voir la description complète du projet
Superviseur du corps professoral :

Denyse Côté

Étudiant :

Partenaire :

Observatoire sur le développement régional et l'analyse différenciée selon les sexes

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

Université du Québec en Outaouais

Programme :

Elevate

Goal-based Wealth Management by Reinforcement Learning

Investors always face the dilemma of risk and return: risky investments offer better returns on average, but also dismal returns once in a while. Goal-based Wealth management is a rather natural way of communicating the “risk vs return” to an investor. Essentially, he or she is asked to define a financial goal over a time horizon (for example, having 1M$ in 10 years), and the probability of attaining this goal is optimized on the basis of historical data, yielding for example an 83% chance of success. If the investor is unhappy with this probability, the goal can be downsized. In all cases, the program optimizes the asset allocation to provide the best chance of success.

Voir la description complète du projet
Superviseur du corps professoral :

Michel Denault;Jean-Guy Simonato

Étudiant :

Partenaire :

Inovestor

Discipline :

Business

Secteur :

Information and cultural industries

Université :

HEC Montréal

Programme :

Accelerate

Les élu.es des petites municipalités québécoises face aux outils pour faciliter la participation citoyenne dans le cadre de la transition socioécologique : étude de cas

La recherche qui sera effectuée dans le cadre de ce stage est une étude de cas visant à acquérir des connaissances sur le rapport entretenu par les élu.es des petites municipalités québécoises avec différents outils existants pour leur permettre de favoriser la participation citoyenne. Nous nous intéressons au rapport à ces outils dans un contexte de transition socioécologique, c’est-à-dire d’orientation de l’action publique en faveur d’un développement plus durable, orientation pour laquelle l’engagement citoyen est une clé de changement de pratiques. Dans une approche inductive, quatre groupes de discussion seront animés en mode semi-structuré afin de recueillir des données liées à des catégories d’observation relatives à la littérature sur le sujet de la mobilisation des savoirs en politique. Ces groupes se tiendront dans la région administrative du Saguenay-Lac-St-Jean, territoire québécois sélectionné pour son dynamisme quant aux initiatives menées en matière d’approche durable de l’action collective, et la présence active du Grand dialogue pour la transition écologique, une initiative
citoyenne mobilisatrice.

Voir la description complète du projet
Superviseur du corps professoral :

Guy Chiasson;Mario Gauthier

Étudiant :

Partenaire :

Communagir

Discipline :

Sociology

Secteur :

Other services (except public administration)

Université :

Université du Québec en Outaouais

Programme :

Accelerate

Promoting Citizenship in Housing First Programs

Housing First (HF) is an approach that assists people with serious mental illness who are chronically homeless to become housed. Research has shown HF assists people in leaving homelessness and achieving stable housing. However, HF participants do not experience increased participation in the community or improved social networks. In response to these results, the present project involves creating a “social prescribing” intervention within HF programs. Social prescribing involves connecting people with community resources to address social connection and loneliness, such as outdoor and nature activities, arts-based projects, museums, and gardening clubs. The proposed project will integrate social prescribing into a HF program with the goal of assisting participants in becoming more integrated in the community. The project will be completed in collaboration with the Ottawa Branch of the Canadian Mental Health Association (CMHA Ottawa). Throughout CMHA’s experience with HF, they have noted the difficulty in meeting their HF clients’ social isolation and loneliness needs. Therefore, the project will address a problem and support the needs of the organization. By creating, implementing, and evaluating this socially innovative intervention, the project will strengthen the effectiveness of HF initiatives and assist those with mental health concerns in becoming more integrated as citizens.

Voir la description complète du projet
Superviseur du corps professoral :

Tim Aubry

Étudiant :

Partenaire :

Canadian Mental Health Association (Ottawa)

Discipline :

Sociology

Secteur :

Social Innovation; Health and Related Sciences & Technology; Public Service, Policy, and Governance

Université :

University of Ottawa

Programme :

Elevate

Hybrid Graph-based Generative Architecture of Schematic Floor Plans

Our research provides time-cost and financial effective solutions for construction projects and customers. The solutions include a performing of the graph represented generative floorplan, the scalable and user-participated framework. This research targets performing an end-to-end generative pipeline to conduct valid schematic floor plan designs for contextual adjustment representation of any functional buildings. The goals are also to develop a framework that accommodates the breadth of constraints necessary and makes the architectural design process efficient and expressive project. The methodology includes given the data collection in previous development, the graph learning and transformer approach will be utilized to represent the properties of rooms and their connectivity that extends the existing work into molecule generation; perform a scalable graph neural network and a transformer-based model to generative the floorplan; and developing an interactive, human-in-the-loop design tool framework for the architects.

Voir la description complète du projet
Superviseur du corps professoral :

Yan Liu

Étudiant :

Partenaire :

Maket technologies inc.

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Concordia University

Programme :

Accelerate

EM Sensing for Contactless Thickness and Conductivity Measurement

One of the essential components of a lithium-ion battery is its electrodes, with the most common type comprising conducting coatings applied to both sides of a metal foil. The goal of this project is to develop a sensor for measuring thickness, conductivity, dielectric response and moisture content of the coating. The main challenge of this project is the lift-off requirement: the sensor must be suspended at least 5mm above the coating, i.e., the measurement must be taken without touching the sample. We open-resonator-based techniques to obtain the surface impedance data from the sample without having to come in direct contact with it, and then use mathematical modelling to infer conductivity and thickness from that data. Once the sensor is developed, it will be used to optimize and streamline the manufacturing of lithium-ion batteries, helping to satisfy the rapidly growing demand for them.

Voir la description complète du projet
Superviseur du corps professoral :

David Broun

Étudiant :

Partenaire :

Honeywell Canada (North Vancouver, BC)

Discipline :

Physics

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Accelerate

Design of a Spatially-Based ConservationDecision-Making Platform for the Peace RiverBreak

The Peace River Break is in the north east section of the province situated at the narrowest point of the Rocky Mountain range allowing for critical movement and ecological connections east-west over the Rockies and north-south between the mountain national parks and the Muskwa-Kechika Management area to the north. The purpose of this research project is to investigate the best practices to a) develop a publically accessible geo-spatial dataase for the Peace River Break that brings together both community and traditional knowledge and values along with scientific and technical information and b) to develop a prototype database. This information will then be used by partners, Landsong Heritage Consulting Ltd. and Yellowstone to Yukon Conservation Initiative to help shape conservation planning and implementation strategies for the Peace River Break.

Voir la description complète du projet
Superviseur du corps professoral :

Pamela Wright

Étudiant :

Partenaire :

Landsong Heritage Consulting Ltd;Yellowstone to Yukon Conservation Initiative

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

University of Northern British Columbia

Programme :

Accelerate

Modelling land-based mitigation technologies (LMTs) with ALCES Flow: A participatory modelling platform for landscape simulation and ecosystem carbon emission analyses

Wildfire incurs major environmental and economic losses in many areas of the world. Although climate change is playing an important role in changing fire frequency and magnitude, human management strategies can play an arguably comparable role. Managers must choose from a range of strategies to ensure viability of forest stands, but research supporting efficacy of different approaches is not always available. In Venezuela, forests regions are threatened by wildfires originating in adjacent Savannas. Participants engaging in research of new fire-management practices require the use of simulation models to explore the merits of potential management solutions. Two major challenges restrict the application of landscape simulations in land-management planning and discussions: (1) the complexity of simulation models can preclude use by individuals without a modeling background; and (2) the effort required to parameterize models – that is, establish values for all the requisite variables – for new (or large) regions can be cost prohibitive. Web-based participatory modeling platforms provide an effective solution to model accessibility. There is a particular web-based platform, referred to as ALCES Flow, that can combine global data sets, cloud computing, and customizable interfaces to provide powerful yet accessible landscape simulations.

Voir la description complète du projet
Superviseur du corps professoral :

David Atkinson

Étudiant :

Partenaire :

ALCES

Discipline :

Earth science

Secteur :

Environmental Science and Technology; Sustainability & the Environment; Public Service, Policy, and Governance

Université :

University of Victoria

Programme :

Accelerate

Computer Vision-Based Deep Learning Algorithms for Detecting Marine Life and Physical Phenomena from Acoustic Backscatter Time Series

Large quantities of data are constantly acquired during underwater acoustic surveys for environmental monitoring and resources management. The data, visualized as 2D images, are typically analyzed manually or semi-automatically by experts (marine biologists, acousticians, oceanographers), which is time-consuming and prone to errors and inter-expert disagreements. The goal of the proposed research project is to develop new software tools for the automated processing and analysis of underwater acoustic data acquired with echosounders, using computer vision-based deep learning methods. We anticipate that this research, carried out in partnership with ASL Environmental Sciences Inc., will allow for the automatic detection of marine life, such as eulachon, sandlance, arctic cod, jellyfish, zooplankton, as well as various phenomena near the sea surface and sea bottom, such as air bubbles, waves, ice keels, and suspended sediments, from underwater acoustic data. The potential impacts are significant with respect to efforts in species abundance tracking and environmental monitoring, allowing for a switch from the traditional data analyses towards novel automatic methods reducing processing times, required man-power, and inconsistencies in the results.

Voir la description complète du projet
Superviseur du corps professoral :

Alexandra Branzan Albu

Étudiant :

Partenaire :

ASL Environmental Sciences Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Victoria

Programme :

Accelerate

Needs Assessment, Adaptation and Pilot Testing of a Patient Decision Aid for North American Elderly Women with Stress Urinary Incontinence

Effectuer une évaluation des besoins et élaborer un outil de prise de décision partagée comprenant des options de traitement conservateur et chirurgical pour aider les femmes de 60 ans et plus touchées par l’incontinence urinaire à l’effort.
Notre étude contribuera à impliquer activement les femmes âgées dans les décisions concernant le traitement de leur incontinence urinaire à l’effort, décisions qui sont perçues comme difficiles, surtout avec la controverse actuelle et la couverture médiatique sur la bandelette sous-urétrale et le filet vaginal synthétique.

Voir la description complète du projet
Superviseur du corps professoral :

Geneviève Nadeau

Étudiant :

Partenaire :

Université Côte d'Azur

Discipline :

Life Sciences

Secteur :

Other

Université :

Université Laval

Programme :

Globalink Research Award

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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.