Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

E?tude des variations mille?naires des changements climatiques dans l’Arctique canadien de l’Est a? l’aide d’assemblages de diatome?es et d’isotopes stables

Chaque stade glaciaire modifie le paysage. Lorsque les glaces se retirent, le nouveau paysage émerge, le niveau marin augment et les eaux glaciomarines envahissent et submergent les anciens terrains glaciaires. Tracer la limite marine postglaciaire peut révéler d’importantes connectivités hydrologiques et des échanges entre les écosystèmes terrestres et marins qui ont eu lieu et qui pourront exister potentiellement dans le futur avec la fonte accrue des calottes et des glaces en Arctique. La région d’étude, le Nettilling fjord, est comprise entre le lac Nettilling et la baie Cumberland sur l’île de Baffin, Nunavut. Séquences sédimentaires ont été prélevés dans cinq lacs qui auront été envahis autrefois par les eaux glaciomarines. L’approche multi-proxy combinant la composition isotopique d’oxygène et l’assemblage de diatomées est utilisée afin de répondre aux objectifs spécifiques : (1) quand la glace s’est retirée (2) la durée de l’invasion glaciomarine et (3) l’origine des eaux glaciomarines. Le but de ce projet est d’étudier le rythme de changements postglaciaires et leur durée pour éventuellement intégrer ces résultats dans des modèles climatiques de prédiction pour l’Arctique canadien de l’Est.

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Faculty Supervisor:

Reinhard Pienitz

Student:

Partner:

Alfred-Wegener-Institut

Discipline:

Earth science

Sector:

Water; Natural Resources; Sustainability & the Environment

University:

Université Laval

Program:

Globalink Research Award

Oil price prediction using dynamic multiresolution modeling

In this project, we will explore novel modeling methods to predict oil prices, based on a combination of machine learning methods with dynamic multiresolution analysis. The objective is to develop a software to better forecast oil prices. Oil is the world’s leading fuel, and its prices have a big impact on the global environment, the economy as well as oil exploration and exploitation activities. Oil price forecasts are very useful to relevant industries, governments, and many individuals. Many methods have been developed for predicting oil prices. However, it remains one of the most challenging forecasting problems due to the high volatility of prices. In this project, we will explore novel modeling methods to predict oil prices, based on a combination of machine learning methods with dynamic multiresolution analysis. To evaluate and validate this model, we will compare the resulting forecasts with some popular oil price prediction models.

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Faculty Supervisor:

Faramarz Samavati

Student:

Partner:

1920525 Alberta Corporation

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

Succès de recrutement de l’huître creuse du Pacifique, Crassostrea gigas, en lien avec les conditions trophiques, la qualité des larves et le délai de métamorphose.

D’importantes fluctuations spatio-temporelles du taux de recrutement naturel de l’huître creuse du Pacifique (Crassostrea gigas) sont observées dans la lagune de Thau en France, un site majeur de production d’huîtres, alors que la filière conchylicole méditerranéenne désire y développer sa propre activité de captage de naissain (juvénile). Nous suggérons que les variations spatiales de la ressource trophique expliqueraient en partie ces fluctuations et que le succès de métamorphose dépend de l’accumulation suffisante de réserves lipidiques par les larves. Une diminution de ces réserves énergétiques liée à un retard de la métamorphose pourrait causer un échec de la métamorphose et diminuer le succès de recrutement. Cette étude a pour objectif d’établir des liens entre le succès du recrutement de C. gigas en milieu naturel, le délai et la taille à la métamorphose, l’état des réserves énergétiques des larves pédivéligères et la qualité du réseau trophique en milieu lagunaire qui sont mal compris encore à ce jour. Elle tentera ainsi de répondre aux hypothèses stipulant que 1) les larves retardent leur métamorphose lorsque les conditions trophiques ne sont pas optimales et 2) les sites présentant les meilleurs taux de recrutement se caractérisent par des larves présentant de meilleures réserves énergétiques.

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Faculty Supervisor:

Réjean Tremblay

Student:

Partner:

Institut français de recherche pour l'exploitation de la mer

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Université du Québec à Rimouski

Program:

Globalink Research Award

Toward a Cross-Cultural Ethics for Human-Caribou Engagement

This project will use ethnographic and community-based participatory research methods to develop a cross-cultural, community-driven ethical model for caribou research, management, and conservation in and around La Ronge, SK. The project will contribute to caribou work already underway between the partner organization, Prince Albert Model Forest (PAMF), and Lac La Ronge Indian Band (LLRIB), e.g. collecting traditional ecological knowledge regarding woodland caribou to contribute to range planning. It is directly related to a PAMF objective, working effectively and meaningfully with Indigenous communities and organizations. The project will help to enhance PAMF’s relationship with LLRIB, reinforcing to the LLRIB community that their contributions to previous studies in this field have contributed to continuing protection for caribou populations – this may increase the community’s support of research. Lastly, this project will directly apply to other organizations and governments working with communities, which benefits the partners who are part of the PAMF board.

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Faculty Supervisor:

Clinton Westman

Student:

Partner:

Prince Albert Model Forest

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

University of Saskatchewan

Program:

Accelerate

Data Analytics API and UI for Building Sensors

The project entails the creation of a program that will capture data from building sensors. It will analyze that data and predict future trends based on the data collected over a period of time. It will also graph data from sensors over a period of time. Currently both are done manually, take a significant amount of time and our prone to data enter errors. This will save time, money and give more accurate results for the partner organization.

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Faculty Supervisor:

Stephen Lawrence

Student:

Partner:

ioAirFlow

Discipline:

Computer science

Sector:

Information and Communications Technology; Clean Technology; Manufacturing and Construction

University:

Red River College

Program:

Accelerate

Analyse, fabrication et validation d’une pièce d’aube de turbine hydraulique faite de matériaux innovants

L’hydroélectricité est une source renouvelable d’énergie qui compte pour 16% de de l’énergie produite mondialement. Au Canada, cette proportion grimpe à 60% représentant une capacité de 74 GW. Les besoins en énergie sont prévus augmenter d’ici 2025 notamment dû à :
1. Une volonté croissante de diminuer les émissions de gaz à effet de serre et de s’attaquer aux changements climatiques ;
2. Le besoin d’énergie renouvelable pour réduire l’empreinte environnementale tout en s’assurant que les besoins énergétiques sont comblés ;
3. La capacité unique de l’énergie hydroélectrique de fournir une source d’énergie renouvelable tout en s’adaptant aux besoins en puissance.
Dans ce projet, nous proposons d’intégrer des composantes bi-matériaux sur des composantes de turbines, qui composent le coeur des centrales, afin d’augmenter la longévité des machines. Ce projet développera, notamment, des solutions pour l’intégration des matériaux composites ou polymériques dans les turbines hydro-électriques.

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Faculty Supervisor:

Martine Dube;Vladimir Brailovski

Student:

Partner:

GE Renewable Energy

Discipline:

Engineering

Sector:

Manufacturing; Other services (except public administration); Utilities

University:

École de technologie supérieure

Program:

Accelerate

Comparative Study of ‘systems of justification’ among Indian students of business/management institutions; Cases of study: Private and Public business/management institutions in province of Karnataka’

This thesis deals with how Indian students of business/management schools adapt themselves with neo-managerial and entrepreneurial discourses presented in such schools. More specifically, I study the ways by which the aforementioned students adapt their socio-cultural background with the discourses of justification presented to them during their MBA program. In other words, I analyze how Indian students appropriate neo-managerial and entrepreneurial discourses during their MBA program.
In order to fulfill my research, I will interview students of MBA programs of two prominent Indian business/management schools: IIM-Bangalore and AIMS Bangalore. I will conduct approximately twenty to thirty interviews of one hour in each school which mostly focus on the projections of the students of their courses of action in their future careers. Furthermore, I will record and analyze five to ten focus groups in these two schools in order to better understand the dynamics of group discussions and networking among the students.

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Faculty Supervisor:

André Tremblay

Student:

Partner:

Indian Institute of Management Bangalore

Discipline:

Physics

Sector:

Education; Public Service, Policy, and Governance; Information and Communications Technology

University:

University of Ottawa

Program:

Globalink Research Award

The effect of physiotherapy on patellofemoral joint function with varying bone morphology.

The patellofemoral joint consists of the femur, patella (kneecap), and tibia in the knee. It is a complicated joint that causes pain in about one-quarter of the population, often due to faulty patella motion. Patellofemoral pain is often persistent, and difficult to treat. Various physiotherapy interventions are used to relieve pain, with the aim of correcting patella motion, but tend to only demonstrate short-term effects. The difficulty behind developing effective long-term treatment strategies is that patella motion is difficult to measure; however, the use of computer models and motion capture technology allows us to estimate the motion and muscle activation patterns of the patella. This study will investigate the effects of physiotherapy techniques on patella motion using computational musculoskeletal models for patients with patellofemoral pain and healthy individuals. We expect to determine that therapeutic interventions will reduce lateral patella motion with respect to the femur and influence muscle activations to improve congruence between the patella and the femur.

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Faculty Supervisor:

Michael Rainbow

Student:

Partner:

The University of Queensland

Discipline:

Engineering

Sector:

Education

University:

Queen's University

Program:

Globalink Research Award

Antibiotic prescribing attributable to paediatric respiratory viruses: a population-based study of Scottish children

Antibiotic resistance is a major public health issue and antibiotic prescribing patterns are increasingly being recognized as the main cause of resistance. Antibiotic stewardship activities have highlighted the role of over- and inappropriate use of antibiotics in driving antibiotic resistance. Prior research has shown consistent temporal patterns in antibiotic prescribing, such that prescribing rates tend to be highest during influenza and respiratory syncytial virus (RSV) seasons; i.e., aligning with the winter months in the Northern hemisphere. Influenza and RSV are the most common causes of lower respiratory illness in children in the UK and globally. Most respiratory pathogens, including influenza and RSV, are viral in origin and cause self-limited illness in most children; thus, antibiotics are not recommended for use in these patients. While secondary bacterial infections, such as pneumonia, are a common complication of respiratory viral infections, prior studies have shown that antibiotics do not improve outcomes for these patients. In order to prevent the over- and inappropriate use of antibiotics, it is critical to understand antibiotic patterns and, particularly, how these patterns may relate to the activity of common childhood viral infections.TBC

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Faculty Supervisor:

Astrid Guttmann

Student:

Partner:

University College London

Discipline:

Life Sciences

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

Exporting Canada’s Private Sponsorship Refugee Model

Canada has an unique model called the private-sponsorship model where private citizens and organizations can come together and apply to sponsor a refugee. Canada has been quietly exporting this model to countries around the world who are adopting the private sponsorship model to address refugee issues in their countries such as Germany and the United Kingdom. My research will due a literature review to look at the history of Canada’s private sponsorship model and how it has faired in other countries, what are the lessons learned from the Canadian context and how can they be applied elsewhere. The expected outcomes of this project aim to showcase how Canada has been a leader in this field and the importance of a global knowledge sharing of ideas related to successful refugee policy and refugee integration in their new communities.

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Faculty Supervisor:

John Shields

Student:

Partner:

University of Osnabrück

Discipline:

Sociology

Sector:

Education

University:

Toronto Metropolitan University

Program:

Globalink Research Award

La matérialisation de l’éthique en intelligence artificielle : Enquête sur le processus de consentement par et pour un agent conversationnel en santé mentale

Comme de nombreux outils numériques utilisant des techniques d’analyse de données et d’apprentissage automatique (machine learning), les agents conversationnels (chatbots) collectent et traitent une grande quantité de données sur leurs utilisateurs. Quand le type de conversation suscitée par le chatbot porte sur des enjeux de santé mentale, ces données sont d’autant plus personnelles et confidentielles. Or, la plupart du temps, le processus de consentement pour l’utilisation de ces chatbots, et par interaction avec ceux-ci, ne permet pour l’instant pas d’obtenir un consentement valable, c’est-à-dire suffisamment informé, libre et continu. C’est le cas pour de nombreux outils utilisant de l’IA. Ce projet se concentre sur ce manque en observant et participant à la conception d’un processus d’expérience utilisateur qui permette d’obtenir un consentement valable par et pour l’utilisation d’un chatbot en santé mentale.

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Faculty Supervisor:

Boris H.J.M. Brummans

Student:

Partner:

Mr Young;Prologue AI

Discipline:

Sociology

Sector:

Information and cultural industries

University:

Université de Montréal

Program:

Accelerate

Post Concussive Symptoms amongst 5-12 year old children

A concussion is a mild traumatic brain injury (mTBI) that causes short-lived impairment of neurological function caused either by a direct blow to the head, face, neck, or elsewhere on the body with an impulsive force transmitted to the head that may or may not involve loss of consciousness. These injuries are increasing both in diagnosis and reporting rates amongst all populations, with over 100,000 diagnoses in children coming from Emergency Department visits. However, children under 12 are understudied even though there are suggestions that they are different than adolescents. This project aims to characterize the post concussive symptoms of concussions experienced by children aged between 5 -12 at both specialized clinics and hospitals in the Buffalo area, with a focus on acute concussion (<10 days since injury). By figuring out a pattern of symptoms that characterize children’s concussions, more accurate research, diagnoses, treatments, legislations and interventions can be created.

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Faculty Supervisor:

Richard DeMont

Student:

Partner:

The State University of New York at Buffalo

Discipline:

Life Sciences

Sector:

Education

University:

Concordia University

Program:

Globalink Research Award

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