Innovative Projects Realized

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

29670 Completed Projects

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801
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663
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825
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8841
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95
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568
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Projects by Category

How Might Striving for Social Wealth impact the Social Wellbeing of Remote and Hybrid Leaders?

This research project will explore how the pursuit of social wealth can impact the social health and well-being of remote and hybrid leaders. Building on the concepts of Social Wellbeing, Social Capital, and Social Wealth, I propose a continuum from loneliness to Social Wealth, where Social Wealth represents an abundance of meaningful, reciprocal social connections. Research shows that loneliness affects up to 65% of full-time remote workers and 72% of senior executives, costing companies $4,200 per lonely employee per year due to lost productivity and absenteeism. By engaging in this evidence-based program, Sun Life will gain insights into the social connectedness of its 2,500 remote and hybrid leaders. The project includes group workshops and coaching sessions guiding 12 hybrid leaders to engage in a social media detox, map their personal and professional relationships, and take inspired action towards sustained social health and well-being – within and beyond the workplace. This initiative could set the stage for a new social health pillar at Sun Life, with potential for broader application, aiming to enhance productivity and reduce absenteeism typically associated with loneliness.

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Faculty Supervisor:

Debora Linehan

Student:

Partner:

Sun Life Financial

Discipline:

Sociology

Sector:

Finance and Insurance

University:

Royal Roads University

Program:

Accelerate

Improving Differentially Private Deep Learning Models

Machine Learning (ML) models are known to leak information about the data they were
trained on, enabling membership and reconstruction attacks [7]. Such privacy risks damage trust in ML, and hinder the broad adoption of model co-training, through Federated Learning or cloud-based co-training. This is especially true in sensitive domains that could significantly benefit from data pooling, such as medical or financial applications. While rigorous privacy preserving model training techniques exist, such as those based on Differential Privacy (DP), they still impose a heavy performance penalty. This project aims to better understand the impact of training data on model privacy leakage, and develop new optimization techniques to improve Deep Learning with Differential Privacy.

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Faculty Supervisor:

Mathias Lécuyer

Student:

Partner:

École des Mines de Saint-Étienne

Discipline:

Computer science

Sector:

Artificial Intelligence

University:

The University of British Columbia

Program:

Globalink Research Award

Biais de publication des études examinant les risques associés aux médicaments pris pendant la grossesse

Devant le nombre grandissant d’études sur l’effet des médicaments pris pendant la grossesse, les chercheurs et cliniciens sont confrontés à une multitude de résultats, parfois contradictoires. Les méta-analyses peuvent aider à évaluer la qualité et à synthétiser ces études. Les résultats des méta-analyses peuvent toutefois être biaisés par le biais de publication, qui survient lorsque la publication des études est influencée par la signification statistique, la force ou la direction des résultats. Ce biais a peu été documenté dans les études sur l’impact de la prise de médicaments pendant la grossesse. Le projet de recherche est une étude descriptive de méta-épidémiologie dont l’objectif principal est de quantifier l’importance du biais de publication dans les études analytiques examinant les impacts de la prise de médicaments pendant la grossesse pour la mère et l’enfant, à l’aide de la plateforme française metaPreg. Nous faisons l’hypothèse que le domaine du risque médicamenteux pendant la grossesse présente aussi un biais de publication important et cherchons à le documenter. Il est attendu que le projet de recherche entraine un changement dans les pratiques de recherche et de publication, ce qui se traduira par l’amélioration des recommandations dans le domaine de l’innocuité des médicaments pendant la grossesse.

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Faculty Supervisor:

Anick Bérard

Student:

Partner:

Hospices Civils de Lyon;Université Claude Bernard Lyon 1

Discipline:

Life Sciences

Sector:

Pharmaceuticals; Health and Related Sciences & Technology

University:

Université de Montréal

Program:

Globalink Research Award

The Empowerment of China’s Left-behind Women

Feminization of agriculture is occurring in China through the rural-urban migration of labor, predominantly men. This phenomenon raises the question: Does women’s increasing participation in farming affect their capacity and power in decision-making regarding agricultural production and their rural livelihood? While little research has been done to address this issue due to the measurement challenges, the Women’s Empowerment in Agriculture Index (WEAI) offers a way to correct this deficiency. This study is the first attempt to apply the WEAI in China. The WEAI modules and method will be localized for the context of China, reflecting both
language and institutional characteristics. The left-behind women’s WEAI score is expected to be higher than those women from households without any migrant workers. The results of the research cannot only be applied to evaluate the on-going public programs funded by the government, but they are also useful in formulating policy interventions to empower rural women in general.

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Faculty Supervisor:

Rose Olfert

Student:

Partner:

Henan University

Discipline:

Sociology

Sector:

Education

University:

University of Saskatchewan

Program:

Globalink Research Award

Étude d’impact du Plan Montagnes de Destination Québec-cité

En 2023, Destination Québec-cité proposait un plan Montagnes au ministère du Tourisme du Québec afin de marquer son engagement à contribuer à l’essor d’un secteur touristique durable. Ce plan, spécifique à la région touristique de Québec, vise à favoriser une offre de service sur 4 saisons et l’adoption de bonnes pratiques pour un tourisme durable et responsable, tout en considérant les spécificités de chaque territoire. Le plan se déploie à l’échelle des 4 MRC de la couronne verte (Jacques-Cartier, Portneuf, île d’Orléans et Côte-de-Beaupré), ainsi que sur le territoire de Wendake. Dans le présent projet, le stagiaire procèdera à une évaluation de l’impact de la démarche d’innovation sociale proposée par Destination Québec-cité afin d’identifier et documenter les facteurs favorisant le changement et l’adoption de bonnes pratiques en matière de tourisme durable.

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Faculty Supervisor:

Olivier Riffon

Student:

Partner:

Destination Québec Cité

Discipline:

Sociology

Sector:

Public administration

University:

Université du Québec à Chicoutimi

Program:

Accelerate

Développement d’un filtre biologique pour l’élimination du manganèse des eaux potables

Ce projet de recherche vise à développer un nouveau procédé pour éliminer le fer et le manganèse des eaux souterraines destinées à la consommation humaine. Pour y arriver, nous testerons l’utilisation de filtres avec deux couches de matériaux réactifs activés biologiquement qui permettent de prolonger les durées de cycle et d’éliminer dans un seul filtre le fer et le manganèse. Enfin, nous évaluerons la possibilité d’utiliser des matériaux activés chimiquement plutôt que biologiquement afin de permettre une mise en application plus rapide de cette technologie.

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Faculty Supervisor:

Benoit Barbeau

Student:

Partner:

Magnor

Discipline:

Engineering

Sector:

Manufacturing

University:

Polytechnique Montréal

Program:

Accelerate

Heat or Eat: Uncovering the Energy Poverty Gap in Income-Based Energy Burden Metrics

Income-based energy burden metrics identify households in energy poverty as those which spend 10% or more of their after-tax income on dwelling energy bills, risking the inability to maintain thermal comfort. However, traditional income-based energy poverty metrics fail to capture behavioral adaptation patterns of reducing energy consumption to limit financial expenditure on energy services, especially for low-income households. The inflection temperature, defined in this scope as the outdoor temperature at which households start using heating systems, is one form of energy-limiting behavior primarily adopted to reduce financial stress from energy services. As such, energy-limiting behavior introduces a gap in the energy poverty metric, which can be quantified based on the difference in the inflection
temperatures between low and high-income groups. Motivated by this, this research aims to estimate the heating equity gap, assessing the overlap between both measures as well as uncovering the complementary aspect of energy insecurity based on income. By capturing the gap in the existing income-based energy poverty metric, the multidimensional nature of energy poverty can be captured and classified according to severity, allowing for targeted interventions prioritizing high-risk households.

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Faculty Supervisor:

Petr Musilek

Student:

Partner:

Rheinisch-Westfälische Technische Hochschule Aachen

Discipline:

Engineering

Sector:

Education

University:

University of Alberta

Program:

Globalink Research Award

Design of Novel Self-Cooling Can Systems

Temperature control is very important to a modern day society. Certain beverages, such as soda pop, alcoholic beverages, and even water are refrigerated so that they are more refreshing to drink. This project objective is to design novel environmentally benign and emission-free self-cooling beverage cans. Two different systems with different cooling approached are considered. The first system is built on chemical reaction that does not evolve any harm output that the user will be exposed to, and the other system uses the physical principle of cooling with expansion and absorption. It is desired to design, manufacture and test the proposed systems the commercialization potential in the canning industry

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Faculty Supervisor:

Ibrahim Dincer

Student:

Partner:

Envirochill Cryogen Development Corp

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Ontario Institute of Technology

Program:

Accelerate

Transfer of energy and momentum across turbulent interfaces (TEMATI)

Accurately predicting entrainment in free shear flows like jets, wakes, and shallow water shear layers is crucial for industrial, environmental, and geophysical applications, yet most studies focus on wakes and jets using Eulerian statistics from 2D experiments, limiting insight into this inherently 3D, multiscale phenomenon. To bridge this gap, we will conduct cutting-edge measurements capturing 3D Lagrangian statistics, generating novel datasets that will deepen our understanding of turbulent entrainment and mixing between distinct turbulent streams. This research has direct industrial relevance, particularly in wind farms, where wake interactions with ambient turbulence impact efficiency, often leading to reliance on empirical models for wake spreading. A more precise characterization of entrainment in shear-layers will help to develop models to characterize pollutant dispersion in rivers, and the mixing phenomena across two flow streams.

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Faculty Supervisor:

Susan Gaskin

Student:

Partner:

Imperial College London

Discipline:

Engineering

Sector:

Education

University:

McGill University

Program:

Globalink Research Award

Design and Development of a Chatbot-based Personalized Healthcare Tool to Support People with HIV

Large language models (LLMs), AI systems trained on vast amounts of online textual data with advanced language processing capabilities, have garnered significant interest in healthcare applications. Health chatbots integrate language models and various algorithmic tools to assist in decision-making, potentially revolutionizing patient self-management and reducing disparities in healthcare access.
However, previous work has shown notable threats to the equitable global deployment of LLMs. These include their tendency to perpetuate racial and gender bias through stereotype-laden responses and their variable performance across groups. For example, Hispanic and Black descriptors are most likely to alter judgments about relevant LLM outputs. Thus, it is critical to assess how LLM-based chatbots propagate existing biases that may amplify health disparities.
Using the retrieval augmented generation technique and an agentic workflow approach, we developed the LLM-based MARVIN chatbot for multiple health conditions, including HIV. MARVIN also integrated a triage algorithm to detect medication adherence barriers. This project will conduct bias/equity-related validation tests on MARVIN implementing the triage algorithm, including assessing gender, cultural, racial, and socioeconomic biases, as well as the chatbot’s performance in different languages. This will help ensure equitable implementation of LLM-chatbots based on LLMs, thereby advancing the development and implementation of human-centered health AI products.

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Faculty Supervisor:

Sofiane Achiche

Student:

Partner:

Massachusetts Institute of Technology

Discipline:

Engineering

Sector:

Education

University:

Polytechnique Montréal

Program:

Globalink Research Award

Large deformation finite element modelling for benchmarking stability analysis of sensitive clay slopes

The proposed research project aims to address the significant natural hazard of large-scale landslides in sensitive clays, which can cause substantial economic loss, environmental disaster, infrastructure damage, and fatalities. The partner organization, WSP, specializes in geotechnical engineering services, including geohazard assessment from landslides and slope failure. This project will explore the applicability of advanced large-deformation finite element (FE) modeling techniques to better understand and solve the complex process of landslides in sensitive clays, particularly in regions like eastern Canada and Scandinavian countries. The anticipated outcome is that large-deformation FE modeling will provide a more accurate explanation of the initiation and progression of landslides, overcoming the challenges of existing modeling tools, leading to improved safety and mitigation strategies. The project involves collaboration between WSP and Memorial University, with the results contributing to technical workshops, conference and journal publications, and the intern’s PhD thesis.

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Faculty Supervisor:

Bipul Hawlader

Student:

Partner:

WSP Canada Inc

Discipline:

Engineering

Sector:

Construction and infrastructure; Information and cultural industries; Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

Process Innovation to Scale Cansbridge Fellowship’s Impact

This project aims to support The Cansbridge Fellowship in scaling its operations to meet growing demand while maintaining its mission of empowering Canada’s future entrepreneurial leaders. By redesigning the program framework, integrating advanced technology, and developing innovative marketing strategies, the project will provide the organization with scalable solutions to expand its reach and impact. Interns will bring expertise in business strategy, technology, and marketing to identify gaps, propose creative innovations, and enhance engagement with underrepresented groups. The expected benefit is a stronger, more efficient organization poised to support a larger network of emerging innovators and drive greater contributions to Canada’s entrepreneurial ecosystem.

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Faculty Supervisor:

Davide Elmo;Stanka Fitneva;Hamid Jahed

Student:

Partner:

Cansbridge Fellowship

Discipline:

Business

Sector:

Education; Other services (except public administration)

University:

Queen's University; The University of British Columbia; University of Waterloo

Program:

Business Strategy Internship

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