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

Analyzing natural area sensitivity thresholds for humans and species diversity in Alberta’s Capital City

The Edmonton Valley Zoo is passionate about the natural world and is always looking to find ways to promote environmental responsibility and support wildlife research that benefits both people and wildlife. Our Conservation team works to conserve species in the wild through endangered species breeding programs, by providing support for in-situ wildlife conservation research work, and inspiring action by our visitors to protect habitat and wildlife. As a large Municipally run conservation facility located within Edmonton’s river valley – North America’s largest contiguous park – we are working to support urban wildlife research with a focus on improving our ability to steward Edmonton’s natural areas system of which the river valley is its key wildlife corridor. This project will analyse noise sensitivity thresholds in Edmonton’s natural areas system with a focus on understanding how noise pollutants affect urban wildlife species diversity. In addition to sharing these learnings with as many of our 350,000 visitors/year that we educate about local wildlife and habitat conservation, this project will also provide opportunities for City of Edmonton staff to engage in wildlife research, and enhance the organization’s ability to partner with, and learn from, Alberta’s premier biodiversity research organization, the Alberta Biodiversity Monitoring Institute (Biodiversity Pathways / SENSR). This project also aligns with the City of Edmonton’s City Building Outcome to “expand and improve access to its natural systems and open spaces in support of biodiversity and the health and enjoyment of all Edmontonians.

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Faculty Supervisor:

Erin Bayne;Robert Summers

Student:

Partner:

Edmonton Valley Zoo

Discipline:

Earth science

Sector:

Public administration

University:

University of Alberta

Program:

Business Strategy Internship

Riberinhos’ Lived Experiences and Practices of Malaria in the Brazilian Amazon

In Brazil, malaria accounts for the highest morbidity registered in the Americas. In this country, 99.5% of the cases of malaria are registered in the Brazilian Amazon. The main goal of this research is to investigate how riberinhos experience and act upon malaria in endemic areas of Manaus and Careiro, State of Amazonas, Brazil. This study is situated in the fields of population health and medical anthropology. This study is situated in the fields of population health and medical anthropology. It is drawn on ethnographic methodology and data collection methods such as participant observation, individual semi-structured interviews, and photovoice. The collected data will be analyzed through thematic analysis. The research results may raise some questions regarding the national program to control malaria in Brazil because the intervention addresses the disease from a biological perspective and neglects socioinequalities that maintain and increase its transmission.

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Faculty Supervisor:

Julie Laplante

Student:

Partner:

Fundação de Medicina Tropical Doutor Heitor Vieira Dourado

Discipline:

Life Sciences

Sector:

Education

University:

University of Ottawa

Program:

Globalink Research Award

ESROP Laser driven plume formation MPSD 2025

Laser-driven plume formation is a surprising and so far theoretically unpredicted phenomenon of Newtonian fluids. The group at the Max Planck Institue for the Structure and Dynamics of Matter (MPSD) have observed this behaviour in glycerol, a Newtonian fluid, whereby elastic, rubber-like responses in the material have been produced on timescales many orders of magnitude greater than previously predicted.
This undergraduate group aims to continue this work, studying and exploring this behaviour in water experimentally.

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Faculty Supervisor:

Arthur Chan

Student:

Partner:

Max Planck Institute

Discipline:

Physics

Sector:

Health and Related Sciences & Technology; Advanced Manufacturing; Water

University:

University of Toronto

Program:

Globalink Research Award

ESROP – NUS – PIML for reconstructing IV curves of PSC

Perovskite solar cells stand out due to their rapid advancements and high efficiency, combined with the promise of cost-effective production. These attributes have placed them at the forefront of next-generation renewable energy solutions. This project integrates physics-based principles into AI models to reconstruct IV curves, reducing reliance on extensive input parameters. By incorporating optoelectronic governing equations, the model enhances interpretability and prediction accuracy. Large datasets are used to balance data-driven insights with domain-specific knowledge, providing a robust tool for solar cell optimisation.

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Faculty Supervisor:

Arthur Chan

Student:

Partner:

National University of Singapore

Discipline:

Engineering

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

ESROP – NUS – Predicting Complete IV Curves for Perovskite Solar Cells with AI

Predicting Complete IV Curves for Perovskite Solar Cells with AI. Perovskite solar cells are a groundbreaking technology, offering high efficiency and low manufacturing costs, making them a promising candidate for the future of renewable energy. Their tunable properties and rapid development have captured significant interest in both academic and industrial sectors. This project focuses on developing an AI model that predicts entire current-voltage (IV) curves in a single step. Using large datasets, the model captures complex patterns in the data to provide fast and accurate predictions. This holistic approach aims to streamline solar cell analysis and accelerate design and optimisation processes.

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Faculty Supervisor:

Arthur Chan

Student:

Partner:

National University of Singapore

Discipline:

Engineering

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

Optimisation quantique pour la planification des horaires des médecins

La planification des horaires médicaux est un défi complexe pour les établissements de santé, confrontés à l’incertitude des arrivées de patients, à la variabilité des temps de traitement et à la nécessité d’optimiser l’utilisation des ressources. Les méthodes de planification classiques atteignent leurs limites face à cette complexité, ce qui entraîne des temps d’attente prolongés, une utilisation inefficace des ressources et une insatisfaction tant chez les patients que chez les médecins. L’optimisation quantique, grâce à sa capacité à explorer simultanément un grand nombre de solutions, offre une approche prometteuse pour résoudre ce problème. Ce projet vise à développer un système de planification des horaires médicaux basé sur l’optimisation quantique, capable d’améliorer l’efficacité opérationnelle, la satisfaction des parties prenantes et la résilience du système face aux perturbations.

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Faculty Supervisor:

Chahid Ahabchane

Student:

Partner:

École nationale d'ingénieurs de Carthage

Discipline:

Computer science

Sector:

Quantum Science; Health and Related Sciences & Technology

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Globalink Research Award

Avian pathogen and parasite mapping in Alberta

This project addresses the need for clear baseline data of infections impacting avian populations, and the need for clear, thorough, and detailed reports on infection prevalence, affected avian species, and locations of infection occurrences from wildlife rehabilitation centres.
Our goal is to develop clear baseline measures of three major health impacts to avian biodiversity in Alberta— hemoparasites, gastrointestinal parasites, and highly pathogenic avian influenza (HPAI)—alongside prevalence mapping, pathology, and reporting on the relationship between symptoms and presence of infection.
We propose a two-part research project in collaboration with the Alberta Institute for Wildlife Conservation (AIWC). The first group (1 interns) will track parasites, reviewing past patient cases, recording avian patient species, symptomology, testing all avian intake patients for presence of parasites (identifying type and details as applicable). The second group (1 interns) will review past HPAI cases in the area, HPAI cases in Canada, record location and symptoms of reported cases, and, if resources allow, perform initial screening test on avian patients with symptoms of HPAI.
Both groups will then create reports on the status of their infection, mapping, disease dynamics (comparing to previous intake information and literature on cases and symptoms), and report their findings.

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Faculty Supervisor:

Sherri Cox

Student:

Partner:

Alberta Institute for Wildlife Conservation

Discipline:

Life Sciences

Sector:

Education

University:

University of Guelph

Program:

Accelerate

Évaluation de la zonation interne des pegmatites à spodumène du projet Shaakichiuwaanaan, Eeyou Istchee Baie-James, Québec

Le lithium fait partie des minéraux critiques (MC) identifiés par le Canada. De nombreux gîtes lithinifères ont été répertoriés au Québec, plus particulièrement dans les derniers 10 ans dans la région d’Eeyou – Istchee – Baie James qui est entrain de devenir un secteur de lithium de classe mondiale. Tous les gîtes du Québec sont associés à des pegmatites à spodumène encaissées dans des roches volcanosédimentaires moyennement métamorphisées. Dans le modèle généralement accepté pour la formation des pegmatites minéralisées en métaux rares, celles-ci montrent une zonation texturale, minéralogique et chimique interne systématique du contact avec l’encaissant vers le centre. Un bon nombre des pegmatites associées avec les gisements de lithium dans la région d’Eeyou – Istchee – Baie James ne montrent pas cette zonation dont celles de la propriété Shaakichiuwaanaan. Le projet de recherche Globalink propose de caractériser la zonalité interne de plusieurs pegmatites de cette propriété à l’aide d’une cartographie détaillée. Les résultats devraient permettre de déterminer s’il existe une variabilité spatiale de la zonalité et dans l’affirmative de trouver les facteurs qui l’influencent incluant la teneur en lithium.

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Faculty Supervisor:

Marc Legault

Student:

Partner:

Université de Lorraine

Discipline:

Earth science

Sector:

Education

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Globalink Research Award

L’effet de l’intelligence artificielle sur l’acquisition des compétences conceptuelles et procédurales en sciences physiques

Le projet de recherche proposé par la stagiaire vise à utiliser l’intelligence artificielle (IA) pour améliorer l’apprentissage des sciences physiques au niveau secondaire. En intégrant des outils d’IA comme des simulateurs interactifs et des plateformes d’apprentissage adaptatif, le projet cherche à rendre l’enseignement des concepts scientifiques plus compréhensible et engageant. Les avantages escomptés incluent une meilleure compréhension des concepts complexes, une amélioration des compétences pratiques des étudiants, et une motivation accrue grâce à des méthodes d’apprentissage plus interactives et personnalisées. Ce projet pourrait également fournir des données précieuses pour améliorer les méthodes d’enseignement traditionnelles.

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Faculty Supervisor:

Brahim El Fadil

Student:

Partner:

Université Sidi Mohamed Ben Abdellah

Discipline:

Physics

Sector:

Education; Environmental Science and Technology

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Globalink Research Award

Deep Learning Measurements to Model Ecosystems’ Response to Environmental Change

In many applications, Machine Learning (ML) predictions are used to make downstream decisions. Acting on ML predictions however can change the distribution of features that the ML model relies on for predictions. The implication is that such downstream decisions procedures implicitly expect the ML model to generalize outside of the observational distribution. Unfortunately, this is often not the case, and ML models tend to be brittle outside of their training distribution. ML models will thus produce unreliable extrapolations, leading to poor downstream decisions based on wrong predictions. We will develop causal models for field hedge predictions that generalize to Canada from data in other countries, to study hedges’ impact on carbon sequestration, crop yield, and resilience. The end goal is to help address challenges related to climate change.

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Faculty Supervisor:

Mathias Lécuyer

Student:

Partner:

École Polytechnique

Discipline:

Computer science

Sector:

Education

University:

The University of British Columbia

Program:

Globalink Research Award

Community benefit: Microbial consortia that stimulate plant growth

There is a growing awareness of the role of microbes in the functioning of higher organisms. The human microbiome has now been shown to play key roles in health and physiology. Similarly, plants have had microbes, mycorrhizal fungi for example, associated with their roots since they colonized the land. It is becoming clear that there is a community of rhizobacteria that is regularly associated with plant roots and plays an important role in how plants deal with a range of environmental challenges. Inocucor Technologies has developed a consortium of microbes that improve plant performance. Preliminary results from the Smith laboratory at McGill University indicate that this consortium can stimulate aspects of plant growth. Proposed is research to further investigate the mechanisms and applications of this consortium. For plant growth stimulation and plant pathogen control we will determine the effects of the overall consortium and the individual strains that it is comprised of, with regard to promotion of crop plant growth and crop pathogen control, under a range of simulated environmental conditions, and for strains of interest, attempt to isolate compounds they might be producing that cause the plant growth stimulation.

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Faculty Supervisor:

Donald Smith

Student:

Partner:

Inocucor Technologies Inc

Discipline:

Life Sciences

Sector:

Agriculture

University:

McGill University

Program:

Accelerate

Get Wired Business Process and Marketing Innovation Project

Explore innovative processing techniques to enhance the production workflow of dental prosthetics. The company will consider alternative methods, techniques, materials, and workflows for processing dental prosthetics based on testing and research by the intern. As a second component, the Intern will enhance and expand social media presence to capture new market share while showcasing and promoting company culture. The company will utilize current social media platforms while exploring other alternative platforms upon research conducted by the intern. The efficacy of this project will be reviewed for immediate results.

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Faculty Supervisor:

Kennedy Farnell

Student:

Partner:

Get Wired Orthodontic Lab

Discipline:

Business

Sector:

Manufacturing

University:

Northern Alberta Institute of Technology

Program:

Business Strategy Internship