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

Black Locust Distribution and Management Recommendations for the Lower Columbia River Valley near Trail, BC

Vegetation in the Lower Columbia Valley in the West Kootenays of BC has been affected by historical emissions from the smelter in Trail, BC. Following logging of the valley for fuel and building materials, metal and SO2 emissions impaired forest regeneration on low valley slopes. A hardy tree species in the legume family native to Southeastern North America, black locust (Robinia pseudoacacia), was planted in disturbed sites along the valley to support revegetation. Black locust has now invaded habitats outside of its planting zones and is a threat to biodiversity and further ecological restoration. My research will map and field survey black locust stands to assess natural habitat and human disturbance conditions associated with black locust invasion. I will identify sites at risk of invasion and suggest management strategies for modifying and restoring forests to be more resilient to black locust colonization.

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Faculty Supervisor:

Anayansi Cohen-Fernandez

Student:

Partner:

Teck Metals Ltd

Discipline:

Earth science

Sector:

Manufacturing; Mining

University:

British Columbia Institute of Technology

Program:

Accelerate

Quantifying gas phase chlorine compounds in sewer system headspaces

The presence of chlorine-bearing compounds in sewer headspaces is a potential risk to personnel and can cause decay of valuable infrastructure through increased rates of corrosion. There is however little information available on their speciation and concentration in these systems as standard methods for sampling them from sewer headspaces do not exist. In addition, the system factors influencing their presence have not been studied. The project will assemble methods for sampling and analyzing chlorine-bearing compounds in sewer headspaces. The techniques will then be employed to characterize concentrations in York Region sewers and pump stations.

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Faculty Supervisor:

Wayne Parker

Student:

Partner:

The Regional Municipality of York

Discipline:

Engineering

Sector:

Utilities

University:

University of Waterloo

Program:

Accelerate

Can hatcheries help to conserve Interior Fraser River Steelhead?

Since 2000, interior Fraser River steelhead (IFRS) have declined to historic low abundance. Due to this, COSEWIC in 2018 designated IFRS as endangered. Hatchery propagation can reduce interannual variability in egg-to-fry survival rates and increase the freshwater abundance of juveniles. There remains controversy over the effectiveness of hatchery operation as a conservation measure. Some studies show positive relationships between returning adults and juvenile abundance. Deterioration in the genetic integrity and fitness of wild salmon populations due to competition between wild and hatchery produced salmonids in the natural environment, inbreeding and potential decreases in fitness in hatchery populations may also occur. Population dynamics models will be applied to evaluate the potential long-term conservation outcomes of hatchery propagation and quantify the potential risks of hatchery production. The BC Wildlife federation will benefit from better informed decisions on conservation measures for IFRS that will be made with the use of information provided by this research.

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Faculty Supervisor:

Murdoch McAllister

Student:

Partner:

BC Wildlife Federation

Discipline:

Life Sciences

Sector:

Agriculture; Other services (except public administration)

University:

The University of British Columbia

Program:

Accelerate

Using knowledge graphs and AI to recognize similarities between politicians

IOTO International Inc’s work is recognized as innovative by some of the largest media organizations in Canada. Their Goverlytics software applies Machine Learning to political data. They intend to extend their software to provide statistical measurements of political discourse similar to performance statistics available in other domains like sports. IOTO is in the process of obtaining political data from using Natural Language Processing on political audio. By determining how they can classify and store this resulting data, they will be able to provide media organizations with more robust statistics on legislators’ actions and performance in government. This project looks at how their political data can be standardized, collected, and presented in order to support the comparison of political figures and their careers.

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Faculty Supervisor:

Cyril Coupal

Student:

Partner:

IOTO International Inc

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Saskatchewan Polytechnic

Program:

Accelerate

Sequence comparison of SARS coronavirus 2 (SARS-CoV-2) outbreaks in mink occurring in North American/Canadian- and Danish farmed mink, and investigation into the post infection the antibody response

Aim of the study:
The aim of this study is to compare the SARS-CoV-2 sequencing data available from the north American/Canadian SARS-CoV-2 outbreaks in mink to the Danish SARS-CoV-2 outbreaks in mink, and compare genetic similarities. Moreover, a secondary aim is to investigate the antibody response in relation to SARS-CoV-2 outbreak in Canadian mink to evaluate the specificity and duration of the antibody response.
Methods:
North American/Canadian and Danish SARS-CoV-2 sequences available in NCBI GenBank will be compared, to investigate mutations occurring over time. In addition, information of the farm and time of sampling will be included, when available. Moreover, 20 serum samples from ten North American/Canadian farms having a history of previous SARS-CoV-2 outbreaks will be sampled and subjected to ELISA testing and virus neutralization tests.

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Faculty Supervisor:

Younes Miar

Student:

Partner:

University of Copenhagen

Discipline:

Life Sciences

Sector:

Education

University:

Dalhousie University

Program:

Globalink Research Award

Photo-Stabilization of Polymers Using Graphene

The main challenge in using polymers in outdoor application is to extend their life time and make them stable against sunlight. Recently, graphene has been suggested as a new type of polymer photo-stabilizer to replace toxic and harmful photo-stablizers commonly used. The main challenge is to understand protective mechanisms of its action. Is it a UV absorber? Is it a free radical scavenger? Or does it act as a physical barrier to oxygen ?
In this project, we are going to investigate the role of graphene as a physical barrier and understand the effect of its morphology on its performance as a photo-stabilizer. this project is under supervision of Prof.Guilhermino Fechine, from Graphene and Nanomaterials Research Center (MackGraphe), Mackenzie Presbyterian University, in São Paulo, Brazil, who has remarkable expertise on the field of polymer photo-degradation and Polymer/graphene nanocomposites. this project might open a new field of commercialization for graphene.

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Faculty Supervisor:

Nicole Demarquette

Student:

Partner:

Universidade Presbiteriana Mackenzie

Discipline:

Engineering

Sector:

Nanotechnology; Environmental Science and Technology; Other; Quantum Science

University:

École de technologie supérieure

Program:

Globalink Research Award

Caractérisation de modules photovoltaïque pérovskites

La transition énergétique mondiale nécessite le développement et le déploiement massif des énergies renouvelables, telles que les technologiques photovoltaïques. Les technologies photovoltaïques à base de matériaux pérovskites sont parmi les plus prometteuses pour les prochaines générations de modules photovoltaïques. Éventuellement combinées avec des cellules à base de silicium, des rendements de conversion photovoltaïques proches de 30% (29.8%) ont récemment été reportés, ce qui est au-delà des performances des technologies bien établies comme le photovoltaïque à base de silicium. Dans ce projet de recherche, nous proposons d’évaluer le comportement en conditions réelles d’opération de modules photovoltaïques à base de cellules solaires en pérovskites fabriqués par Pi-SOL Technologies Inc. . Pour cela, nous installerons des prototypes de modules pérovskites dans la zone expérimentale du parc solaire de l’Université de Sherbrooke, nous mettrons en place un banc d’étude dédié, et nous déterminerons les caractéristiques électriques des modules prototypes dans des conditions réelles d’opération, et en comparaison avec des technologies commerciales à base de cellules en silicium.

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Faculty Supervisor:

Maxime Darnon;Sylvain Nicolay

Student:

Partner:

Pi-SOL Technologies Inc.

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Manipulation of Phytohormonal Production by Methylobacterium extorquens

TerraVerdae Bioworks is working with a type of bacteria that is able to metabolize methanol, converting it into a bioplastic. TerraVerdae is focusing its commercial operations on bioplastic production but is interested in identifying other bioproducts that can also be produced. It is known that this type of bacteria forms a symbiotic relationship with plants, where it feeds off of waste methanol produced by plant cells, converting it into metabolites that help the plant grow. Through this internship, we would like to measure the production of two plant hormones, an auxin and a cytokinin, by TerraVerdae’s bacterial strain. We also intend to explore whether we can increase the production of these hormones by genetically manipulating the expression of two genes that we have targeted. Finally, given that nitrogen is known to influence bioplastic production by the bacteria, we would like to determine how manipulating the amount of nitrogen made available to the bacteria affects hormonal production.

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Faculty Supervisor:

Michael Deyholos

Student:

Partner:

TerraVerdae Bioworks Inc

Discipline:

Physics

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Intergenerational Impacts of Transport Poverty in Canada

The aim of this project is to assess the long-term impacts of transport poverty in Canada using mixed methods approach.
Transport poverty is the combined effect of transport disadvantage (including but not limited to inadequate public transport options, poor public transport accessibility, not owning or having access to car, perception of safety) and various socio- demographic and economic factors that lead of marginalization (e.g. low income, disability, gender identity, ethnicity, access to technology, etc.). Nearly one million people in Canada are at risk of transport poverty, which accounts for 5% of the total population and 40% of low-income population. Studies have found that it intensifies transport-related social exclusion (TRSE)- a condition when lack of affordable and accessible transportation options poses obstacles in accessing essential services and thereby, lowers the ability to participate fully in social, political, economic, and other activities.
Although the short-term impacts of transport poverty are well-studied, there is a lack in understanding how living in transport poverty for a long period of time translates to the activity participation and socio-economic outcomes in later life.

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Faculty Supervisor:

Steven Farber

Student:

Partner:

University of Manchester

Discipline:

Life Sciences

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

Mobilizing infrastructures and assets for sustainable tourism in UNESCO’s Frontenac Arch Biosphere Reserve

The Frontenac Arch Biosphere (FAB) is a geographic region in southeastern Ontario comprised of unique natural areas, farmland, and rural communities, with a mandate for supporting sustainability. The region and its inhabitants are thus well-positioned to contribute to sustainable tourism, though this potential has not yet been fully realized. In partnership with the Frontenac Arch Biosphere Network (FABN), and in collaboration with the FAB community, this sustainable tourism project will document and map the infrastructures and assets that support sustainable tourism in the FAB so that they can be harnessed by the community and effectively governed by decision-makers. These Infrastructures include the region’s physical assets, such as attractions, accommodations, and trails, as well as non-physical assets, such as the social networks, services, programs, and policies that support sustainable tourism. The outputs of this project will be shared with FABN to contribute to their sustainable tourism programming and may serve as a useful model for other regions seeking to advance local economic development and sustainable tourism initiatives.

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Faculty Supervisor:

Kristen Lowitt;Ryan Danby

Student:

Partner:

Frontenac Arch Biosphere Network

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Queen's University

Program:

Accelerate

Risk-factor-based Portfolio Optimization

Portfolio managers have generally favoured factor models to interpret and arbitrage abnormal alpha. Duncombe and Kay (2018) proposed an analysis, Two Sigma Factor Lens, to address these issues. In addition to these problems, another challenge is how to dynamically incorporate market upturns and downturns into asset allocation under a multi-factor model, which has attracted a great deal of portfolio managers’ attention. In combining OMG’s current analysis, this proposal will extend the Two Sigma Factor Lens approach to a more general and realistic setting with a hidden Markov process to model the dynamic market states. Given the attractive feature of the multi-factor model in the application of business cycle identifications and abundant literature in academic research (factor investment and regimes in business cycle), some strong and practical results are reasonable to be produced from this project and will benefit OMG.

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Faculty Supervisor:

Yonggan Zhao

Student:

Partner:

Owens MacFadyen Group

Discipline:

Business

Sector:

Finance and Insurance

University:

Dalhousie University

Program:

Business Strategy Internship

A transformer-based model for credit card fraud detection

Credit card payments are one of the most common transaction methods in our daily life, such as online shopping, e-commerce, and mobile payment. However, with the extensive usage of credit cards, numerous credit card fraud transactions occur every year and cause a huge economic loss. In order to improve the detection performance, this project proposes a transformer-based model to conduct fraud detection. The proposed transformer-based model omits convolutional or recurrent operations and relies solely on attention mechanisms to extract dependencies in the sequence dataset. This project aims to develop a novel and efficient fraud detection approach for the parter financial organization.

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Faculty Supervisor:

Weimin Huang

Student:

Partner:

NASDAQ Canada Inc

Discipline:

Engineering

Sector:

Finance and Insurance

University:

Memorial University of Newfoundland

Program:

Accelerate

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