Innovative Projects Realized

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

31133 Completed Projects

2940
AB
5159
BC
837
MB
685
NL
882
SK
9292
ON
9695
QC
97
PE
601
NB
1161
NS

Projects by Category

Digital Witness Statement Application Development

This project is to improve the witness statement taking process for law enforcement or associated businesses/business lines. The benefit to our organization by hiring an intern is to continue to develop and improve our digital witness statement taking software.

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Faculty Supervisor:

Paul Cook

Student:

Partner:

ArGen Software

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of New Brunswick

Program:

Business Strategy Internship

SPARKing Change: Trialing transformative approaches to equity-related learning for the Sport, Physical Activity, Recreation, and Kinesiology sector.

In running, we don’t train to run a marathon, we train to create of our bodies and minds somebody who is capable of running a marathon. The same is true for equitizing justice, diversity, inclusion, and accessibility (JEDIA) work: we don’t train to perfect static techniques of equitization. We train to develop the skills, knowledges, instincts, and stamina necessary to stay with the challenging and innovative work of equity. In this project, we take a kinesiological approach to the development and implementation of a series of online workshops to support JEDIA initiatives across the sport, physical activity, recreation, and kinesiology (SPARK) sector in Canada. First, we will design and deliver a JEDIA workshop that utilizes our novel knowledge-skills-practices (KSP) pedagogical model. Secondly, we will use open-ended surveys and interviews to study learner experiences of this approach and whether it has translated into their practice.

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Faculty Supervisor:

Lindsay Eales;Danielle Peers

Student:

Partner:

InMotion Network

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

University of Alberta

Program:

Accelerate

Boreal Ecosystem Recovery and Assessment

Felix Wiemer and Pauline Maier will perform internships in the Boreal Ecosystem Recovery and Assessment (BERA) program as Part of Greg McDermid’s Applied Geospatial Research Group: a research laboratory at the University of Calgary. The BERA program is a multi-sectoral research partnership whose central goal is to understand the effects of industrial disturbance on natural ecosystem dynamics in the boreal forest, and to develop strategies for restoring disturbed landscapes. Ms Maier and Mr Wiemer will complete projects on measuring morphology and microtopography (Project 1) and modeling wetlands and water availability (Project 2). It is anticipated that these research internships will provide the foundation for Ms Maier’s and Mr Wiemer’s masters theses when they return home to Germany at the end of their Canadian internships. Greg McDermid, the host supervisor, and Ralf Ludwig, the international supervisor, are both part of the Alberta-Bavaria Research Network (www.abby-net.org): a grass-roots collaboration of academics from Alberta and Bavaria who have been collaborating on the training of HQP since 2012.

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Faculty Supervisor:

Greg McDermid

Student:

Partner:

Ludwig-Maximilians-Universität München

Discipline:

Earth science

Sector:

Education

University:

University of Calgary

Program:

Globalink Research Award

Regenerative Tourism Strategies within Kelowna BC to Promote Destination Development and Environmental Sustainability

For many communities, the tourism industry is an important and integral part of their cultural, social, and economic capital. It provides many jobs, salaries, and wages within local communities contributing to overall gross domestic product. While this industry creates opportunity and revenue there are also negative environmental impacts that cannot be ignored. The tourism industry is reliant on a healthy, pristine and accessible environment however this same industry is actively contributing to environmental degradation. This is why tourism strategies that work towards environmental sustainability alongside destination development are crucial for the survival of the industry. Regenerative tourism is a strategic tourism model that values environmental protection over economic profit and revenue by implementing community specific strategies at the local level. Using Kelowna, British Columbia as a case study, research will be conducted to uncover the limitations and possibilities of implementing regenerative tourism strategies. Using semi-structured interviews with community members in the tourism industry, there will be an inventory of local and specific regenerative tourism strategies. These will be used to assist Tourism Kelowna in the implementation of its destination development plan under goal number two, aiming to foster the sustainable growth of the destination.

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Faculty Supervisor:

Donna Senese

Student:

Partner:

Tourism Kelowna

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

The University of British Columbia - Okanagan

Program:

Accelerate

SIMULATEUR SOC

La simulation et l’émulation sent des voies qui méritent d’être explorées pour alleger le fardeau de la maintenance d’un materiel coûteux et de son infrastructure. Trouver et mettre en oeuvre le bon niveau de details dans un simulateur de périphérique permet de prototyper et de tester rapidement le logiciel afin de réduire les délais de commercialisation lies au développement du logiciel. Alors que la simulation de l’ensemble de la plate-forme permet de très nombreux tests, ce qui est presque impossible avec du materiel reel. C’est pourquoi il est crucial pour l’entreprise Silicon Labs de développer un tel outil de simulation afin de s’affranchir des contraintes materials qui sent particulièrement coûteuses en temps de productions particulièrement au debut du cycle du projet.

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Faculty Supervisor:

Frédéric Nabki

Student:

Partner:

Silicon Laboratories Canada ULC

Discipline:

Engineering

Sector:

Manufacturing

University:

École de technologie supérieure

Program:

Accelerate

Le concert augmenté : nouveaux espaces acoustiques pour la performance musicale

“Le concert augmenté” est un projet pionnier de recherche-création qui prévoit, pour la première fois d’une façon structurée, l’utilisation des nouvelles technologies audio (les écouteurs à conduction osseuse) dans le contexte de concert de musique électroacoustique. Ce nouveau médium de diffusion permettra des expériences de concert en réalité augmentée sonore, c’est-à-dire des performances immersives où les sources sonores virtuelles pourront se fusionner avec les sons des musiciens sur la scène et ceux diffusés par les haut-parleurs. Les musiciens autant que les spectateurs pourront bénéficier de ce système multi-couche pour l’écoute augmentée. Les étudiants de l’Université de Montréal – Faculté de musique, en utilisant le système, pourront écrire des œuvres qui seront diffusées dans le cadre des activités de concert d’Akousma, organisme partenaire du projet. La société sera la première au monde à activer un vrai laboratoire de recherche musicale créative en utilisant ces nouvelles technologies, développer une expertise strictement dédiée à ce sujet et ajouter au programme de ses événements les activités uniques liées au concert augmenté (conférences et concerts).

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Faculty Supervisor:

Dominic Thibault

Student:

Partner:

Festival Akousma

Discipline:

Sociology

Sector:

New and Digital Media; Technology; Entertainment and Media

University:

Université de Montréal

Program:

Elevate

A feasibility and acceptability study of implementing a Collaborative service robot in long-term care

Service robots can offer personalized service for people with disabilities and empower the staff with efficient support. This study investigates using a collaborative service robot, Aether in a long-term care home. We work collaboratively with people living with disabilities, families, frontline staff, operation leaders, and industry) to Identify user experience, impact and challenges to inform future robot development and adoption. The study will be conducted through three phases: (1) Plan, (2) Adapt, and (3) Evaluate. We will recruit people with various disabilities, family members, and interdisciplinary staff. The focus will be on investigating the deployment process and lessons learned. The findings of this research will offer useful insights about user experiences, risk and mitigation strategies, and impact in LTC, in relation to adopting a robot (Aether) to support safety and quality of life in care homes.

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Faculty Supervisor:

Lillian Hung

Student:

Partner:

JDQ Systems Inc;Developmental Disabilities Association

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology

University:

The University of British Columbia

Program:

Accelerate

To develop an AI model for predicting future lung cancer in low-dose screening CT

Screening with low-dose CT has been shown to significantly reduce lung cancer related mortality in high-risk ever-smokers. Interval cancer (IC) is a rising challenge in lung cancer screening because it usually presents in an advanced stage (stage III/IV non-small cell cancer) or is more biologically aggressive (i.e., small cell histology) and have a poorer prognosis than prevalent cancers. The dilemma is how to catch IC early because the regularly scheduled follow-up CT is often too late. We propose that artificial intelligence (AI) tools can identify sub-visual changes in the “normal” lung before a clinically detectable IC develops. We have access to three population-based screening datasets with ICs. Using the prior CT(s) before a diagnosed IC or benign nodule develops, we propose to build an AI algorithm that can distinguish a pre-IC “negative” CT from CTs of subjects that will remain negative. We will use this information to guide the follow-up interval for individual subjects. This AI tool has the potential to standardize the triage process, enable personalized follow-up intervals for high-risk individuals, detect IC earlier, and improve the outcome and cost-efficiency of lung cancer screening.

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Faculty Supervisor:

Calum MacAulay

Student:

Partner:

BC Cancer

Discipline:

Physics

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

The University of British Columbia

Program:

Elevate

An Interactive Dashboard for Human-AI Detection of Anomalous Employee Accounts at Risk of Data Exfiltration

Confidential data is one of the most precious assets large organizations can have and data theft can be embarrassing and costly. In this research we will carry out innovative research on detecting employee accounts that are exhibiting risky behaviour that may lead to leakage of data, whether carelessly or through malicious intent. It is difficult to protect against careless actions of employees, or malicious people masquerading as employees. Machine Learning (ML) models have been used to make identification of anomalous data transfers more efficient. However, ML models are typically trained through supervised learning and require training with accurately assigned labels. In our past research with Sun Life we have focused on accurately labeled single events such as USB transfers and emails containing attachments and have shown that techniques such as visualization and Active Learning (AL) can be helpful. Active learning is an approach where human experts label the instances (e.g., email messages) that the machine finds hard to label. In this project we will take the next step of labelling employee accounts (rather than USB transfers, or emails) as potentially unusual (and possibly dangerous), based on more extensive analysis of the available data.

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Faculty Supervisor:

Mark Chignell

Student:

Partner:

Sun Life Financial

Discipline:

Engineering

Sector:

Finance and Insurance

University:

University of Toronto

Program:

Elevate

Managing tree models plasticity and mixing GLMs with regression trees for insurance ratemaking

Predicting policyholders’ claims over a year is crucial for a Property-Casualty insurance company. These expenditures, popularly called losses, are incurred by the insurer when reimbursing the policyholders’ claims. The insurance company is required to pay any legitimate claim made by a policyholder, in exchange the latter pays an amount of money, called the premium, to the company to buy this entitlement. Annual premium must be calculated with precision to ensure a fair deal on both sides.
It is the task of actuaries to set premiums for all policyholders; this is called ratemaking. Various classical statistical methods are used to set a policy premium rate, so maximize gain without losing existing customers to the competition. We explore here several data science techniques to help improve this ratemaking process.

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Faculty Supervisor:

Jose Garrido

Student:

Partner:

Intact

Discipline:

Mathematics

Sector:

Finance and Insurance

University:

Concordia University

Program:

Accelerate

Simulating the Use of Agriculture as a Nature-Based Carbon Capture Solution for Mitigating Climate Change

Unmitigated climate change is expected to have catastrophic impacts on our way of life, causing governments and corporations to step in to pledge to reduce our emissions. However, to prevent warming beyond 2°C above pre-industrial levels, emissions reductions will likely not be enough, so we will need to take carbon dioxide directly out of the atmosphere, such as through planting more forests or changing how we do agriculture. Using existing agricultural practices, such as adding the ash of leftover crops to the soil, we can account for a considerable amount of the carbon dioxide removal necessary to meet this goal. However, we know very little about how well this works, and the impacts it may have on the climate. In this study, we will answer these questions by performing numerical simulations of agricultural carbon dioxide removal under some likely future emissions and removal scenarios. We expect to find that it has a considerable effect on reducing the peak warming of the future climate. Furthermore, we will simulate how climate change affects agriculture itself. This research will be extremely beneficial to our understanding of climate change mitigation, and relationship between agriculture and the climate.

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Faculty Supervisor:

Damon Matthews

Student:

Partner:

Microsoft Canada

Discipline:

Earth science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Concordia University

Program:

Elevate

Development of new manufacturing processes for ionizable lipids and building blocks for same

In 2022, over 4.5 billion doses of the Pfizer-BioNTech and the Moderna COVID-19 vaccines were produced to combat a devastating pandemic. The above vaccines contain messenger RNA (“mRNA”) trapped inside lipid nanoparticles (“LNPs”), which are globules with a diameter of a few billionths of a meter, composed of fatty substances called lipids. A crucial type of lipid that is essential for the proper functioning of RNA-LNP medications is an “ionizable lipid” (IL): one that, once inside a living cell, can switch between an electrostatically neutral state and a charged one. The search for new, efficacious ILs is key to unlocking the potential of RNA therapies to treat a huge number of human diseases that currently are incurable. NanoVation Therapeutics, Inc. owns technology for the rapid preparation and evaluation of such ILs. This proposal aims to devise new practical, economical manufacturing methods for the building blocks of said ILs, as well as to produce quantities of benchmark ILs against which the efficacy of new ILs is evaluated. The methods thus developed are essential to unleash the full potential of RNA medicines well beyond the vaccine sphere.

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Faculty Supervisor:

Glenn Sammis

Student:

Partner:

NanoVation Therapeutics Inc.;Resilience Biosciences Inc.

Discipline:

Physics

Sector:

Manufacturing; Professional, scientific and technical services

University:

The University of British Columbia

Program:

Elevate

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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.