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

Promoting Citizenship in Housing First Programs

Housing First (HF) is an approach that assists people with serious mental illness who are chronically homeless to become housed. Research has shown HF assists people in leaving homelessness and achieving stable housing. However, HF participants do not experience increased participation in the community or improved social networks. In response to these results, the present project involves creating a “social prescribing” intervention within HF programs. Social prescribing involves connecting people with community resources to address social connection and loneliness, such as outdoor and nature activities, arts-based projects, museums, and gardening clubs. The proposed project will integrate social prescribing into a HF program with the goal of assisting participants in becoming more integrated in the community. The project will be completed in collaboration with the Ottawa Branch of the Canadian Mental Health Association (CMHA Ottawa). Throughout CMHA’s experience with HF, they have noted the difficulty in meeting their HF clients’ social isolation and loneliness needs. Therefore, the project will address a problem and support the needs of the organization. By creating, implementing, and evaluating this socially innovative intervention, the project will strengthen the effectiveness of HF initiatives and assist those with mental health concerns in becoming more integrated as citizens.

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Faculty Supervisor:

Tim Aubry

Student:

Partner:

Canadian Mental Health Association (Ottawa)

Discipline:

Sociology

Sector:

Social Innovation; Health and Related Sciences & Technology; Public Service, Policy, and Governance

University:

University of Ottawa

Program:

Elevate

Hybrid Graph-based Generative Architecture of Schematic Floor Plans

Our research provides time-cost and financial effective solutions for construction projects and customers. The solutions include a performing of the graph represented generative floorplan, the scalable and user-participated framework. This research targets performing an end-to-end generative pipeline to conduct valid schematic floor plan designs for contextual adjustment representation of any functional buildings. The goals are also to develop a framework that accommodates the breadth of constraints necessary and makes the architectural design process efficient and expressive project. The methodology includes given the data collection in previous development, the graph learning and transformer approach will be utilized to represent the properties of rooms and their connectivity that extends the existing work into molecule generation; perform a scalable graph neural network and a transformer-based model to generative the floorplan; and developing an interactive, human-in-the-loop design tool framework for the architects.

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Faculty Supervisor:

Yan Liu

Student:

Partner:

Maket technologies inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

EM Sensing for Contactless Thickness and Conductivity Measurement

One of the essential components of a lithium-ion battery is its electrodes, with the most common type comprising conducting coatings applied to both sides of a metal foil. The goal of this project is to develop a sensor for measuring thickness, conductivity, dielectric response and moisture content of the coating. The main challenge of this project is the lift-off requirement: the sensor must be suspended at least 5mm above the coating, i.e., the measurement must be taken without touching the sample. We open-resonator-based techniques to obtain the surface impedance data from the sample without having to come in direct contact with it, and then use mathematical modelling to infer conductivity and thickness from that data. Once the sensor is developed, it will be used to optimize and streamline the manufacturing of lithium-ion batteries, helping to satisfy the rapidly growing demand for them.

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Faculty Supervisor:

David Broun

Student:

Partner:

Honeywell Canada (North Vancouver, BC)

Discipline:

Physics

Sector:

Manufacturing; Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Design of a Spatially-Based ConservationDecision-Making Platform for the Peace RiverBreak

The Peace River Break is in the north east section of the province situated at the narrowest point of the Rocky Mountain range allowing for critical movement and ecological connections east-west over the Rockies and north-south between the mountain national parks and the Muskwa-Kechika Management area to the north. The purpose of this research project is to investigate the best practices to a) develop a publically accessible geo-spatial dataase for the Peace River Break that brings together both community and traditional knowledge and values along with scientific and technical information and b) to develop a prototype database. This information will then be used by partners, Landsong Heritage Consulting Ltd. and Yellowstone to Yukon Conservation Initiative to help shape conservation planning and implementation strategies for the Peace River Break.

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Faculty Supervisor:

Pamela Wright

Student:

Partner:

Landsong Heritage Consulting Ltd;Yellowstone to Yukon Conservation Initiative

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

University of Northern British Columbia

Program:

Accelerate

Modelling land-based mitigation technologies (LMTs) with ALCES Flow: A participatory modelling platform for landscape simulation and ecosystem carbon emission analyses

Wildfire incurs major environmental and economic losses in many areas of the world. Although climate change is playing an important role in changing fire frequency and magnitude, human management strategies can play an arguably comparable role. Managers must choose from a range of strategies to ensure viability of forest stands, but research supporting efficacy of different approaches is not always available. In Venezuela, forests regions are threatened by wildfires originating in adjacent Savannas. Participants engaging in research of new fire-management practices require the use of simulation models to explore the merits of potential management solutions. Two major challenges restrict the application of landscape simulations in land-management planning and discussions: (1) the complexity of simulation models can preclude use by individuals without a modeling background; and (2) the effort required to parameterize models – that is, establish values for all the requisite variables – for new (or large) regions can be cost prohibitive. Web-based participatory modeling platforms provide an effective solution to model accessibility. There is a particular web-based platform, referred to as ALCES Flow, that can combine global data sets, cloud computing, and customizable interfaces to provide powerful yet accessible landscape simulations.

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Faculty Supervisor:

David Atkinson

Student:

Partner:

ALCES

Discipline:

Earth science

Sector:

Environmental Science and Technology; Sustainability & the Environment; Public Service, Policy, and Governance

University:

University of Victoria

Program:

Accelerate

Computer Vision-Based Deep Learning Algorithms for Detecting Marine Life and Physical Phenomena from Acoustic Backscatter Time Series

Large quantities of data are constantly acquired during underwater acoustic surveys for environmental monitoring and resources management. The data, visualized as 2D images, are typically analyzed manually or semi-automatically by experts (marine biologists, acousticians, oceanographers), which is time-consuming and prone to errors and inter-expert disagreements. The goal of the proposed research project is to develop new software tools for the automated processing and analysis of underwater acoustic data acquired with echosounders, using computer vision-based deep learning methods. We anticipate that this research, carried out in partnership with ASL Environmental Sciences Inc., will allow for the automatic detection of marine life, such as eulachon, sandlance, arctic cod, jellyfish, zooplankton, as well as various phenomena near the sea surface and sea bottom, such as air bubbles, waves, ice keels, and suspended sediments, from underwater acoustic data. The potential impacts are significant with respect to efforts in species abundance tracking and environmental monitoring, allowing for a switch from the traditional data analyses towards novel automatic methods reducing processing times, required man-power, and inconsistencies in the results.

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Faculty Supervisor:

Alexandra Branzan Albu

Student:

Partner:

ASL Environmental Sciences Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Needs Assessment, Adaptation and Pilot Testing of a Patient Decision Aid for North American Elderly Women with Stress Urinary Incontinence

Effectuer une évaluation des besoins et élaborer un outil de prise de décision partagée comprenant des options de traitement conservateur et chirurgical pour aider les femmes de 60 ans et plus touchées par l’incontinence urinaire à l’effort.
Notre étude contribuera à impliquer activement les femmes âgées dans les décisions concernant le traitement de leur incontinence urinaire à l’effort, décisions qui sont perçues comme difficiles, surtout avec la controverse actuelle et la couverture médiatique sur la bandelette sous-urétrale et le filet vaginal synthétique.

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Faculty Supervisor:

Geneviève Nadeau

Student:

Partner:

Université Côte d'Azur

Discipline:

Life Sciences

Sector:

Other

University:

Université Laval

Program:

Globalink Research Award

Investigating thermal performance of Nano-enhanced phase change material in 3D structures for thermal energy storage

A phase change material (PCM) can store and release a large amount of heat through a solid/liquid transition when it is available for the later heating and cooling applications. However, PCMs have a very low thermal conductivity that leads to a higher charge and discharge time. To increase their thermal conductivity, I added nanoparticles to the PCMs. During the visiting period, I am going to test the previously characterized and developed nano-PCM in different 3D storage structures developed by the host group at university of Padova. These experiments are an important step toward larger scale study and industrial applications of the PCM. Furthermore, the effect of different design of structures on the heat transfer into and outside of the PCM can be studied. The potential outcomes of the collaboration, can provide us with a better understanding of the PCM that leads to a joint publication between the wo groups.

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Faculty Supervisor:

Sébastien Poncet

Student:

Partner:

University of Padua

Discipline:

Engineering

Sector:

Education

University:

Université de Sherbrooke

Program:

Globalink Research Award

Metagenomic elucidation of microbial sulfur cycling in a model pit lake system

The reclamation and management of tailings generated during bitumen extraction is important to oil sands industries. Using end pit lakes (EPL) is one of the methods for permanent reclamation of tailings. Lake Miwasin is an EPL that was recently established, and it uses a new treatment technology for tailings’ storage. A pilot-scale demonstration pit lake (DPL) was established to assess the effectiveness of the new technology. From our initial assessment of the DPL, bacterial communities involved in sulfur cycle were highly abundant. The activities of these bacteria have both advantages (such as include degradation of organic pollutants from the tailing, inhibition of methanogenesis, and precipitation of heavy metals), and disadvantages (such as production of toxic hydrogen sulfide, and acidification of upper water layers during sulfide oxidation), hence the need to study them. The objective of the study is to carry out metagenomics to corroborate the bacterial community structure data with the functional genes to construct metabolic pathways that may explain the fate of sulfur in the EPL. Furthermore, it is expected that metagenomics will reveal the presence/absence of other biogeochemical cycles that are connected to the sulfur cycle directly or indirectly.

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Faculty Supervisor:

Mohamed Gamal El-Din

Student:

Partner:

Karlsruher Institut für Technologie

Discipline:

Engineering

Sector:

Education

University:

University of Alberta

Program:

Globalink Research Award

Arctic Research Foundation – Data Migration

This phase will concentrate on providing a means of transferring data from the Polar Data Catalogue in a CCADI approved format. This will include analysis of the Polar Data Catalogue data and comparison to CCADI’s standards, and creating a Extract Load Transform (ETL) processes to transfer the data to the Arctic Research Foundation platform.

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Faculty Supervisor:

Ralph Dueck

Student:

Partner:

Arctic Research Foundation

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Red River College Polytechnic

Program:

Business Strategy Internship

Exploring the commercial application of genetically engineered microalgae strains for the production of high valued metabolites for aquaculture fish feed

With the demand for high quality farmed fish on the rise, we are also expected to deliver on greater supplies of fish feed. Currently, fish feed is manufactured by capturing small foraging fish in the ocean, which are converted into pellets. This practice hinders marine life by disrupting the natural food chain of larger fish. The proposed research aims to use microalgae as an alternative to forage fish. We aim to accomplish this by using genetic engineering tools to upregulate the production of nutrients that are necessary for fish growth and quality. An example is the fatty acid, omega-3 which we can produce in desirable quantities for fish pellet formulation. This proposed research will benefit the partner organization by bringing a novel solution to a market dominated by a dangerously archaic method, and showcase the organizations vested interest in greener and sustainable solutions.

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Faculty Supervisor:

Nawwaf Kharma;Effrosyni Diamantoudi;Alisa Piekny;Paula Wood-Adams

Student:

Partner:

V1 Studio;GC Lipid Tech

Discipline:

Life Sciences

Sector:

Education

University:

Concordia University

Program:

Accelerate

Caractérisation des stations d’épuration des eaux usées municipales nord-américaines et de leurs conditions environnementales exogènes en vue d’analyser les procédés de contrôle des odeurs qui peuvent

Les émissions d’odeurs constituent un problème environnemental majeur des stations d’épuration des eaux usées municipales, lesquelles sont considérées comme la principale cause de nuisance perçue par la population exposée. Les causes des odeurs sont associées à la présence de sous-produits de matières de provenance humaine ou animale et d’effluents de processus industriels lesquels sont parfois odorants naturellement. Il y a aussi une relation avec les facteurs météorologiques tels que la température, l’humidité et la direction du vent qui peut faire en sorte que des odeurs jugées a priori peu problématiques peuvent alors devenir une source significative de nuisances olfactives. Le présent projet de recherche vise à mieux comprendre la problématique des odeurs relatives aux stations d’épurations municipales nord-américaines et de leur environnement. La compagnie Odotech Inc. cherche à être proactive afin d’offrir un éventail de solutions aux municipalités permettant ainsi d’agir avant que les odeurs ne deviennent une nuisance. L’anticipation de problèmes ou la génération de solutions adaptées permettraient alors de réduire le nombre de plaintes, tout en occasionnant des économies sur les consommables et les équipements anti-odeurs offerts aux clients potentiels d’Odotech.

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Faculty Supervisor:

Frédéric Monette

Student:

Partner:

Odotech Inc

Discipline:

Engineering

Sector:

Clean Technology; Environmental Science and Technology; Sustainability & the Environment

University:

École de technologie supérieure

Program:

Accelerate

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