Innovative Projects Realized

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

30156 Completed Projects

2861
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5059
BC
812
MB
673
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842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
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Projects by Category

Conservation Policy for Effective Local Resource Governance: A Case Study in the Kailash Sacred Landscape Conservation and Development Initiative

This research project is part of a comparative study on conservation governance in two landscape conservation initiatives: the Tallurutiup Imanga National Marine Conservation Area in Nunavut, Canada and the Kailash Sacred Landscapes Conservation and Development Initiative in Uttarakhand, India. Hosted by the Wildlife Institute of India, the Uttarakhand component of this project aims 1) to understand the role of local resource users in managing protected areas 2) to identify conditions which support effective governance; and 3) to make recommendations for long-term management which empower local resource governance institutions to work effectively and contribute to conservation goals. The methods will consist of legal analysis, semi-structured interviews, participatory mapping, and focus groups with policymakers, forest managers, and local community members. This research follows community-based participatory research protocols, involving community input throughout the research process. The expected outcomes of this internship are a series of culturally appropriate policy briefs on resource governance, and a set of case-specific recommendations to improve the implementation of forest governance policies in alpine villages within the Kailash project area in Pithoragarh District, Uttarakhand, prepared and issued jointly with local partners.

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Faculty Supervisor:

David Boyd

Student:

Partner:

Wildlife Institute of India

Discipline:

Sociology

Sector:

Sustainability & the Environment; Public Service, Policy, and Governance; Aboriginal Affairs

University:

The University of British Columbia

Program:

Globalink Research Award

Contrasting Predictors of Regional versus Local Rarity Among Bryophytes of Haida Gwaii, BC

My masters thesis is on contrasting predictors of regional versus local rarity among the bryophytes of Haida Gwaii, B.C. This work involves sequencing regions of the DNA from bryophyte species collected from the field in Haida Gwaii as well as herbarium specimens to reconstruct bryophyte evolutionary relationships – their phylogeny – and to construct a ‘DNA barcode library’. This information can then be used to determine the correlation between key life history traits and rarity. Through the Mitacs Globalink Research Award, I will be able to collaborate with Dr. Yang Liu, an expert on bryophyte genomics at the Chinese Academy of Sciences, Fairy Lake Botanical Garden, and will have access to the state-of-the-art DNA sequencing facilities at the Botanical Garden. This opportunity will provide me with training in sequencing techniques for DNA barcoding, new sequencing protocols, and the analysis of next generation sequence data.

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Faculty Supervisor:

Jonathan Davies

Student:

Partner:

Shenzhen Institutes of Advanced Technology of the Chinese Academy of Sciences

Discipline:

Life Sciences

Sector:

Education

University:

The University of British Columbia

Program:

Globalink Research Award

An in vitro Platform of Antigen-Presenting Cells to Evaluate Critical Quality Attributes in Vaccine Formulations

Sanofi-Pasteur is developing new vaccine formulations that need to be evaluated on their efficacy and potency. Traditionally, the use of animal models to predict human immunity has been accepted as the best way to select vaccine formulations. However, animal models can be costly and time-prohibitive, and the assays employed to assess vaccine efficacy and potency are not ideal for rapid screening and optimization of multiple formulations. To overcome these limitations, we propose to test new vaccine formulations utilizing laboratory cultured macrophage cells. Vaccine interactions with macrophages ultimately determine the effectiveness of a given formulation.

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Faculty Supervisor:

Mauricio Terebiznik;Roberto J Botelho;Roberto Botelho

Student:

Partner:

Sanofi

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Biotechnology; Other

University:

University of Toronto

Program:

Accelerate

Operationalizing Medical AI: Intelligent Health Support and Devices

There is more to Artificial Intelligence than the algorithm. Intelligent systems must also consider how data is acquired, trade-offs between algorithmic approaches, and what action is taken based upon algorithmic decisions. Lunar Medical, Inc. performs research and development in the area of intelligent and operational space medicine. This internship will investigate the full range of necessary components that make up intelligent health support and devices for the objective of operationalizing medical artificial intelligence. The intern will investigate medical advisory systems, decision support algorithms, and external defibrillators. Outcomes will include verification and validation of advisory medical algorithms and a prototype intelligent defibrillator. The overall objective is to provide experience and insight to medical AI developers to improve the algorithms for systems and operations.

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Faculty Supervisor:

Reza Samavi

Student:

Partner:

Lunar Medical Inc.

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology

University:

McMaster University

Program:

Accelerate

Centre for Operations Excellence Industry Projects 2019

The Centre for Operations Excellence Industry Projects 2019 consists of seven sub-projects sponsored by five different industry partners. Each sub-project represents an important challenge for its sponsor. These sub-projects include Extracting data from unstructured text of NOTAMs to assess relevance (Boeing 1), Developing a fix effectiveness engine to perform data-driven predictive maintenance (Boeing 2), Initial Claim Routing Rules Optimization for Worksafe BC (WSBC), , Optimizing Production of Clean Coal Products for Teck Resources (Teck), A Data Driven approach to Comparing Site Costs and Evaluating Cost Performance for Teck Resources (Teck), Developing personalized rewards to increase emotional loyalty among London Drugs LD Extras members (London Drugs), and Authority: Rate Setting and Workforce Planning Scenario Analyser (Pacific Pilotage Authority)

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Faculty Supervisor:

Steven Shechter

Student:

Partner:

Boeing Vancouver (Richmond, BC);Pacific Pilotage Authority;WorkSafeBC (Vancouver, BC);London Drugs;Teck Resources Ltd (Vancouver, BC)

Discipline:

Business

Sector:

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

University:

The University of British Columbia

Program:

Accelerate

Program to Advance the Treatment of Opaque Fluids using Ultraviolet Technologies (Project extension)

This research project is intended to assess the efficacy of thin film reactors in achieving disinfection of opaque fluids (juices, milk, and wine). These opaque fluids present new challenges for reactor testing and modeling. A thin film reactor will be implemented and its performance will be evaluated against opaque fluids. Consequently numerical modeling will be conducted using computational fluid dynamics for the thin film reactor to predict the reactor performance. This will enable Trojan Technologies to understand the reactor performance and hydraulic efficiency of the reactor. It will also give insights if thin film reactors could be used for commercial relevant fluids.

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Faculty Supervisor:

Keith Warriner

Student:

Partner:

Trojan Technologies

Discipline:

Life Sciences

Sector:

Construction and infrastructure; Manufacturing

University:

University of Guelph

Program:

Accelerate

La Grande Tournée

Dans ce projet de recherche, l’organisme partenaire, le Regroupement des Maisons de Jeunes du Québec vise à dresser, avec le soutien de la chercheure principale et de la stagiaire, un portrait des instances régionales de gouvernance dans les 16 régions desservies et à qualifier l’intervention qui se déroule dans les maisons de jeunes afin de démontrer dans quelle mesure les intervenants communautaires contribuent au développement de jeunes actifs, critiques et responsables. Dans les efforts de prévention du décrochage scolaire, le développement de l’autonomie et des sentiments de compétence et d’appartenance a une influence positive sur la persévérance et la réussite. Il s’agit ici de démontrer la complémentarité de l’intervention communautaire avec les efforts de prévention qui ont cours dans le domaine scolaire.

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Faculty Supervisor:

Anne Lessard

Student:

Partner:

Regroupement des maisons de jeunes du Québec

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Université de Sherbrooke

Program:

Accelerate

Edge-Twin based Framework for Real-Time AI Applications for Vehicular Scenarios

Edge computing is expected to play a transformative role for future AI applications in 5G networks by bringing cloud-style resource provisioning closer to the devices that have the data. Instead of running resource-intensive AI applications at the end devices, we can consolidate their execution at the edge, which brings many benefits, such as eliminating the redundant task processing, running machine learning (ML) tasks with sizeable data sets and running ML tasks in a spatial context that is shared by many devices. The downside of using edge computing for AI is the latency of transporting the data from the end device (e.g., a vehicle) to the edge servers and processing it there and getting the results back to the end device. This project will focus on developing a novel edge twin concept that extends the digital twin idea to maintain computing state at edge computing systems. The objective of edge twin is to model and control a complex system of IoT in a highly responsive manner. To achieve this objective, we will investigate many ideas, and one of them is time shifting.

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Faculty Supervisor:

Muthucumaru Maheswaran

Student:

Partner:

Ericsson Canada Inc (Quebec)

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Good Pharmacovigilance Practices (GVP) Challenges for Canadian-based Pharmaceutical and Natural Health Product (NHP) Manufacturers: A Small Business Perspective.

There are several drugs on the market whose overall safety may not be fully known. Drug safety monitoring is important in identifying previously unknown side effects. This activity is not exclusive to drugs, but also applies to natural health products. Patient awareness of product safety is a major concern in Canada. Only about 5% of side effects experienced by Canadians are reported every year. This could be a danger to public health. Agencies, such as Health Canada, have specific rules in ensuring product safety. On the other hand, their requirements are sometimes repetitive and make it difficult for small companies to comply without incurring significant expenses. Therefore, companies need to have properly organized drug safety systems as well as experienced professionals, to comply with these rules the right way, and avoid repeating unnecessary, pricey tasks. This will avoid the risk of important products becoming unavailable. The purpose of this project is to evaluate challenges that small Canadian-based Pharmaceutical and NHP Manufacturers face in front of this reality.
In order to achieve this goal, the intern will use a hands-on approach that will expose him to the day to day reality of the work involved in monitoring drug safety, while analyzing the

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Faculty Supervisor:

Grégoire Leclair

Student:

Partner:

Euro-Pharm International Canada Inc.

Discipline:

Life Sciences

Sector:

Manufacturing

University:

Université de Montréal

Program:

Accelerate

Unsupervised dimension reduction for data clustering and improving signal-to-noise-ratio

Recently, machine learning has been used in every possible field to leverage its amazing power. In this project we employ and advance machine learning algorithms for analysis of networks log data due to extraction of informative features. These data, which are recorded every millisecond, are usually high dimensional and imbalanced where no class label is assigned to them. We propose to realize data analysis through simultaneous performing of dimensionality reduction and data clustering incorporating local characteristics of the sample space to handle data imbalancity and variations. The proposed approaches for dimension reduction and clustering will be great assets in design, optimization and operations of the partner organization operational system. They also can improve the signal-to-noise-ratio and anomaly detection.

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Faculty Supervisor:

Narges Armanfard

Student:

Partner:

Ericsson Canada Inc (Quebec)

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Attitudes, beliefs and knowledge of Canadian physicians and patients towards medical cannabis 18 months after the legalization of cannabis in Canada

Recent studies have demonstrated the efficacy of medical cannabis (MC) to treat certain conditions like chronic pain. However, surveys conducted before 2018 have revealed that physicians were more reluctant than patients to use MC. According to physicians, a major barrier to the use of MC was insufficient information. In this project, we want to describe the attitudes towards MC of the Canadian doctors and patients 18 months after cannabis legalization in Canada. To do this, an electronic survey will be sent to physicians and patients. The ultimate goal is to identify the remaining barriers to the use of MC and make recommendations for medical community and public education on MC.

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Faculty Supervisor:

Grégoire Leclair

Student:

Partner:

Tetra Bio-Pharma (QC)

Discipline:

Life Sciences

Sector:

Pharmaceuticals; Other

University:

Université de Montréal

Program:

Accelerate

The spatial distribution and host partitioning of the European strain of Echinococcus multilocularis in Western Canada

Echinoccocus multilocularis (Em) is a deathly parasite that can affect humans and is considered as a global emergent pathogen. Recent findings indicate that the parasite is expanding its geographic range in North America and that the highly pathogenic European strain is the most prevalent in Western Canada (Alberta, British Columbia, and Saskatchewan). Therefore, I will assess the genetic diversity, spatial distribution and host partitioning of the European strain in Western Canada to investigate the invasion processes of this strain and assess the role of the two main hosts coyotes and foxes in the transmission of the strain. I expect to find evidence of multiple introduction events of the European strain related to a recent introduction. Additionally, being the coyote a naïve host, this species could be more susceptible to the European strain and harbor more parasites compared to the fox, which is a co-evolved host; thus, having a predominant role in the transmission of the parasite. This project will help to understand the invasion process of the European strain in North America, specifically its origin, evolution, ecoepidemiology and the potential risk that the presence of this strain represents for humans and dogs in western Canada.

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Faculty Supervisor:

Marco Musiani

Student:

Partner:

University of Pisa

Discipline:

Life Sciences

Sector:

Education

University:

University of Calgary

Program:

Globalink Research Award

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