Innovative Projects Realized

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

31620 Completed Projects

2978
AB
5221
BC
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projects by Category

Big Data Analytics for GPS Fleet Management

The project will develop a data mining strategy on how to efficiently use Geotab’s data from multiple sources to isolate network connectivity logs in Geotab’s data, interpolate the GPS coordinates associated with network logs, acquire fuel consumption rates and related opportunities. It will involve a literature survey of the existing algorithms to gain valuable insights. It will also include an important research component to analyze, understand, and develop trends using the available data to compare and corelate the results. The interns shall work toward enriching the data files as required, compare the performance of big data source providers, upload the data to the big data source and use appropriate data visualization tools for the fleet productivity and safety.

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Faculty Supervisor:

Mariano Consens

Student:

Partner:

Geotab Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services; Transportation and warehousing

University:

University of Toronto

Program:

Accelerate

Supporting Patients by Family Education in Psychotic Illness

Family caregivers are an essential component of care for young adults with severe mental illness including psychosis. While their involvement improves outcomes in multiple modalities, family caregivers are often overwhelmed with the care of their loved one. Currently, there are not enough resources for family caregivers of young people with severe mental illnesses. The study involves administering a nine-week course on caring for a person with mental illness to family caregivers. Family burden, as well as service user quality life, symptom severity and service used, will be assessed pre- and post-intervention, as well as at a 6 and 24 month follow up. The intern will also assist with program development, including creating a website, online resources for participants, and facilitator’s manual.

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Faculty Supervisor:

Adam Abba-aji

Student:

Partner:

Mental Health Foundation;Alberta Health Services

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

University of Alberta

Program:

Accelerate

Reconciling Measurement-Based Methane Inventories in the Oil and Gas Sector

This research from Arolytics and StFX’s FluxLab, led by Nadia Tarakki, PhD, focuses on accurately calculating methane emissions from Canada’s oil and gas sector, a major contributor to global climate change. The project will develop innovative emissions frameworks for reconciling diverse methane measurement methods and create accurate methane inventories, overcoming current limitations. Emphasizing statistical properties and automation, these frameworks, which will become part of Arolytics’ services, will improve the reliability of emissions reporting. This research will give the oil and gas industry enhanced tools for precise methane measurement, aligning with international standards and regulatory frameworks for effective climate mitigation. The generated technical knowledge will inform regulatory decisions and accelerate progress toward environmental targets. In essence, this project will improve emissions management practices in the oil and gas sector.

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Faculty Supervisor:

David Risk

Student:

Partner:

Arolytics Incorporated

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

St. Francis Xavier University

Program:

Elevate

McLeod Lake Indian Band Moose Enhancement Project

This project is designed to look at the effects, and potential impacts of various forest harvest treatments on wildlife use, with a focus on moose, within the McLeod Lake Indian Band Traditional Territory, located north of Prince George, BC. This project will examine wildlife species and their use of the various treatments, plant abundance, diversity and nutrient quality, local weather data, and snow depth interception of trees remaining in the treatments. This project will then track the changes of these attributes over time to determine long term use of the areas by wildlife, which can then provide information on other forest treatment practices to benefit similar local wildlife species.

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Faculty Supervisor:

Vanessa Uschenko

Student:

Partner:

Society for Ecosystem Restoration in Northern British Columbia

Discipline:

Life Sciences

Sector:

Agriculture

University:

College of New Caledonia

Program:

Accelerate

Thermodynamic modelling of binary and ternary deep eutectic solvents

Green solvents are expected to present certain features: availability, non-toxicity, recyclability, biodegradability, non-flammability and low cost. Deep eutectic solvents (DESs) have been studied for the last two decades as a greener alternative to organic solvents since they have cheaper production, are less toxic and are commonly biodegradable. Although phase diagrams of several DESs have been measured, little attention has been paid to ternary systems. An extensive literature review revealed that only a few reports provide physicochemical properties and phase equilibrium data for these mixtures. This project is intended to measure reliable experimental data of ternary DESs that will permit to calibrate a thermodynamic model compatible with the FactSage thermochemical software package, both developed at Polytechnique Montréal. DESs are of interest to the research group in Portugal, a reference in the area. For the first time, our thermodynamic model will be applied to systems dominated by hydrogen bonds, and it is intended to be a powerful tool for modelling DESs.

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Faculty Supervisor:

Christian Robelin

Student:

Partner:

University of Aveiro

Discipline:

Engineering

Sector:

Sustainability & the Environment; Environmental Science and Technology

University:

Polytechnique Montréal

Program:

Globalink Research Award

Analysis of the Evolution of Early Streaming Services: Development, Successful Strategies, and Future Directions. Case Study of Netflix, Disney+, and Amazon Prime Video.

This project explores the evolution and strategic development of early streaming services, including Netflix, Disney +, and Amazon Prime Video. The aim is to study the technological, social, and economic catalysts that have defined the landscape of digital media consumption. An in-depth analysis of these largest platforms’ growth tactics and operational activities will reveal the factors contributing to their market dominance and predict future trends in the streaming sector. The study promises to provide a critical understanding of the academic industry and the streaming industry and provide stakeholders with strategies to skillfully navigate the complexity of the digital ecosystem. For participating institutions, the main advantage is the enrichment of the knowledge base and research capabilities and a deeper understanding of the dynamics of digital media development.

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Faculty Supervisor:

Chen-Pang Yeang

Student:

Partner:

National University of Kyiv-Mohyla Academy

Discipline:

Sociology

Sector:

Entertainment and Media; Information and Communications Technology; New and Digital Media

University:

University of Toronto

Program:

Globalink Research Award

Enhancing behavioural and mental health services for youth impacted by developmental trauma by strengthening caregiver and provider networks

Developmental trauma is often defined as experiencing family violence and/or caregiver disruption early in life. People who experienced developmental trauma have worse health and mental health outcomes throughout their life. The focus of this research will be on developing and evaluating mental health supports for youth and families impacted by developmental trauma. There are two key projects within this proposal. One project will provide support for caregivers by using “peer support” where a caregiver of anchild who experienced developmental trauma supports another caregiver whose child faced a similar situation. The second project is evaluating the impact of providing professionals with training in a therapy for youth and families impacted by developmental trauma, known as the Neurosequential Model. Both projects are thematically linked in that they try to improve care for youth impacted by developmental trauma by increasing the capacity of the child’s support network (family and care providers).

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Faculty Supervisor:

Gina Dimitropoulos

Student:

Partner:

Hull Services

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

University of Calgary

Program:

Accelerate

Asset Management using machine learning techniques

Perform an exploratory research to investigate the potential to extract knowledge by aggregating historical data across the company’s clients and applying machine learning techniques on them. The goal is to device prediction models that can forecast the condition of certain events(such as life of pipelines) using statistical analysis. Riva Modeling( partner organization) will benefit from the results of the research by being able to draw more meaningful inferences from the large amount of historical data available from the clients. The greatest benefit of the research goes to the clients of Riva, which includes more than 15 Canadian municipalities and additional cities and utilities in the USA, Australia and New Zealand. The research would lead to a large savings in the expenditure towards the maintenance of their assets.

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Faculty Supervisor:

Eugene Fiume

Student:

Partner:

Riva Modeling Systems

Discipline:

Computer science

Sector:

Finance and Insurance; Information and cultural industries

University:

University of Toronto

Program:

Accelerate

Development of normal physiological behaviour classification using multi-modal biomarker dataset towards machine learning-driven medical devices.

This project aims to develop a large, labelled dataset of normal canine behaviour for use in developing machine learning algorithms to detect abnormal animal physiological behaviour. These machine learning algorithms will enable veterinarians to collect high-quality data of their patients in their natural environments. This innovative solution has the potential to improve the quality of care for canines experiencing chronic conditions such as epilepsy and cardiac syncope and enhance veterinary medicine’s understanding of these conditions.

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Faculty Supervisor:

Alexander Mariakakis

Student:

Partner:

NerveX Neurotechnologies, Inc.

Discipline:

Engineering

Sector:

Technology; Health and Related Sciences & Technology; Advanced Manufacturing

University:

University of Toronto

Program:

Accelerate

Large Scale MultiModal Question Answering

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

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Faculty Supervisor:

Giuseppe Carenini

Student:

Partner:

ServiceNow Canada

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Revue de littérature : 12 femmes innues et atikamekw – 12 parcours de vie – voix et voies de la vie professionnelle — Portraits féminins et réflexion comparative sur la sagesse, les valeurs et l’éthique du travail

Rédaction d’une revue de littérature narrative sur la sagesse des femmes autochtones dans le monde francophone en 2024 en partenariat avec Femmes autochtones Québec (FAQ-QNW). Cette revue de littérature aura un double objectif :
1) Orienter les chercheurs et partenaires dans ce qui s’est déjà écrit sur le sujet avant 2024;
2) Promouvoir, pour FAQ-QNW, les sources, les caractéristiques et les principes d’une éthique professionnelle des femmes autochtones qui travaillent dans leur communauté afin d’inspirer la persévérance scolaire et la résilience des futures générations. En effet, la littérature autochtone est porteuse de principes fondamentaux liés aux territoires d’origines, aux valeurs et aux pratiques ancestrales portées par les femmes autochtones, à leurs traumatismes, à leurs
dépossessions, mais aussi à la force de leurs transmissions et leurs combats pour retrouver leurs droits et leur identité culturelle dans une société moderne qui les a ignorées voir rabaissées (Puana, 2023).
Puana, S.D., (janvier-février 2023). La revanche des femmes innues : actrices de leur propre histoire. Actualités
des Nations.1-2023

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Faculty Supervisor:

Marc Jean

Student:

Partner:

Femmes autochtones Québec

Discipline:

Sociology

Sector:

Social Innovation; Indigenous Innovation

University:

Université du Québec à Chicoutimi

Program:

Accelerate

McMaster MPP in Digital Society: Telus

(1) TELUS Agriculture, a business unit of TELUS, specializes in providing digital solutions and technology-driven services to the agriculture sector. Its main activity involves developing and offering innovative platforms, software applications, and data analytics tools tailored to the unique needs of farmers, agribusinesses, and stakeholders across the agriculture value chain. TELUS Agriculture’s solutions aim to enhance productivity, sustainability, and profitability in agriculture by leveraging digital technologies such as precision agriculture, data analytics, IoT, and remote sensing.
(2) The anticipated social and economic benefits to Canada resulting from TELUS Agriculture’s participation in the research highlighted above are significant. By contributing to the advancement of digitalization and data utilization in the agriculture sector, TELUS Agriculture helps drive innovation, efficiency, and competitiveness in Canadian agriculture. This, in turn, fosters economic growth, job creation, and prosperity in rural communities across Canada. Additionally, improved data collection and coordination in agriculture enable better decision-making, resource management, and risk mitigation, leading to enhanced food security, environmental sustainability, and resilience to climate change impacts. Overall, TELUS Agriculture’s involvement in this research project to shape ag data discourse contributes to the modernization and sustainability of Canada’s agriculture sector, benefiting both the industry and society as a whole.

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Faculty Supervisor:

Adrienne Davidson

Student:

Partner:

TELUS Agriculture

Discipline:

Sociology

Sector:

Agriculture; Information and cultural industries

University:

McMaster University

Program:

Accelerate

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.