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

Stage – Technoscience Abitibi-Témiscamingue

Le projet proposé vise à modifier le programme des Débrouillards afin de l’adapter aux changements survenus dans l’environnement d’affaires de l’organisme à la suite de l’apparition de la COVID-19. Il s’agira de mettre en place divers plans (stratégiques, marketing, etc.) dans le but de maintenir les activités du programme qui vise à initier les enfants de 6 à 12 ans à la science.

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Faculty Supervisor:

François L'Écuyer

Student:

Partner:

Technoscience Abitibi-Témiscamingue

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Business Strategy Internship

Patterns of course-taking and transition for Applied to Academic subjects: Bridges or barriers in Ontario Schools?

Across the province, students are channeled into academic and applied programs at the start of high school. Students in applied courses are less likely to enjoy school or pass the provincial standards for achievement in both elementary and secondary school (EQAO, 2012). We know little about “who” takes applied courses in Ontario and what opportunities exist for them to transfer into academic streams. This matters because streaming or tracking practices in secondary school can limit future access to postsecondary education opportunities and create new lines of stratification between ethnic and social groups. The proposed mixed methods research seeks to combine new data from the People from Education annual survey of schools to investigate patterns of enrollment in applied courses and the number of schools across the province that offer transfer courses.

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Faculty Supervisor:

Joseph Flessa

Student:

Partner:

People for Education

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

ISR Transit

L’objectif est de chercher et évaluer des données afin d’aider à déterminer la manière dont la technologie devrait interagir avec les utilisateurs. Le but est de déterminer quel est le meilleur moyen de procéder dans un projet de ville intelligente. La recherche consiste à trouver les initiatives de villes intelligentes dans le monde entier afin de comprendre ce qui est actuellement disponible. Je serai également responsable de la collecte de diverses données issues de ces initiatives, telles que les types de capteurs utilisés, le temps de déploiement et le type de données collectées. Aussi, je devrai examiner les initiatives qui ont échoué afin de déterminer les raisons de leur échec. Finalement, je devrais présenter mes recommandations. Quelle ville est la plus intelligente au monde et comment a-t-elle atteint la première place? Quelle est la meilleure manière d’introduire l’idée d’une ville intelligente aux usagers? Comment la perception des gens peut affecter un projet de ville intelligente?

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Faculty Supervisor:

Sylvain Perron

Student:

Partner:

ISR Transit

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

HEC Montréal

Program:

Business Strategy Internship

Marketing Strategy for Online Peer-to-Peer Community for Rehabilitation Health Professionals

Development of a marketing strategy for an online peer-to-peer community platform to connect rehabilitation health professionals, which will help the partner organization assess whether this is an opportunity to focus on.

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Faculty Supervisor:

Yolande Chan

Student:

Partner:

Synergiq Solutions

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

Queen's University

Program:

Business Strategy Internship

Machine learning assisted quantum chemistry for Orquestra – Year two

Unsupervised machine learning has recently been introduced into the field of quantum many-body physics. A strategy based on generative models has been particularly successful in the data-driven learning of quantum states. In this proposal, we aim to adapt this technology to applications in quantum chemistry. The primary focus of this research will be on the reconstruction of molecular wavefunctions using data obtained from qubit-based quantum simulators, such as superconducting circuits or trapped ions. Such simulators have recently demonstrated the preparation of ground-state wavefunctions for simple molecules. Their measurement output can be used to train generative models, which have been shown to significantly facilitate the calculation of physical observables. Our strategy will begin by finding novel mappings from the fermionic Hamiltonians of the original molecules to qubit Hamiltonians amenable for reconstruction with two generative models:, the restricted Boltzmann machine (RBM) and the recurrent
neural network (RNN). Together with Professor Melko, the MITACS postdoc (Dmitri Iouchtchenko) will lead the research into these generative models, and develop the machine learning technology into a set of open source software libraries. In partnership with the team at Zapata led by Alejandro Perdomo-Ortiz, these libraries will be deployed as part of the Orquestra Platform.

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Faculty Supervisor:

Roger Melko

Student:

Partner:

Zapata Canada

Discipline:

Physics

Sector:

Information and Communications Technology; Pharmaceuticals; Advanced Manufacturing; Quantum Science

University:

University of Waterloo

Program:

Elevate

Machine learning assisted quantum chemistry for Orquestra

Unsupervised machine learning has recently been introduced into the field of quantum many-body physics. A strategy based on generative models has been particularly successful in the data-driven learning of quantum states. In this proposal, we aim to adapt this technology to applications in quantum chemistry. The primary focus of this research will be on the reconstruction of molecular wavefunctions using data obtained from qubit-based quantum simulators, such as superconducting circuits or trapped ions. Such simulators have recently demonstrated the preparation of ground-state wavefunctions for simple molecules. Their measurement output can be used to train generative models, which have been shown to significantly facilitate the calculation of physical observables. Our strategy will begin by finding novel mappings from the fermionic Hamiltonians of the original molecules to qubit Hamiltonians amenable for reconstruction with two generative models:, the restricted Boltzmann machine (RBM) and the recurrent
neural network (RNN). Together with Professor Melko, the MITACS postdoc (Dmitri Iouchtchenko) will lead the research into these generative models, and develop the machine learning technology into a set of open source software libraries. In partnership with the team at Zapata led by Alejandro Perdomo-Ortiz, these libraries will be deployed as part of the Orquestra Platform.

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Faculty Supervisor:

Roger Melko

Student:

Partner:

Zapata Canada

Discipline:

Physics

Sector:

Information and Communications Technology; Pharmaceuticals; Advanced Manufacturing; Quantum Science

University:

University of Waterloo

Program:

Elevate

Design and simulation of low cost RadioFrequency Identification tags based uponGraphene interconnections

Long checkout lines at the grocery stores and wholesales are one of the biggest complaints about the
shopping experience. Soon these lines could disappear when te ubiquitous universal product code
barcode is replaced by smart labels, also called radio frequency identification (RFID) tags. RFID tags
are intelligent barcodes that can talk to a networked system to track every product that you put in your
shopping cart. In this project, Graphene, the wonder material of the century, will be integrated into
RFID devices to increase its reliability and reduce its product cost.

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Faculty Supervisor:

Denis Giannacopoulos

Student:

Partner:

NanoXplore Inc

Discipline:

Engineering

Sector:

Information and Communications Technology

University:

McGill University

Program:

Accelerate

Understanding the Role of Ex Situ Conservation to Enhance Public Understanding, Awareness, and Support for Biodiversity – Year two

The purpose of this research is to use an evidence-based approach to further the Toronto Zoo’s social science and education programs, in order to support in situ conservation and biodiversity in relation to Canadian goals and the Aichi Targets. Using a collaborative approach this research will result in the co-production of knowledge, where the researcher and the partner organization collaborate in all four stages of the research project. This project is mutually beneficial for the researcher and the partner organization. The researcher will gain additional skills and networking opportunities as presented through the research project and the Mitacs Elevate training. This training and expertise can then be shared with the Toronto Zoo. This will be achieved through the collaborative research process, and through the workshops, webinars and training that the researcher will provide as part of the outcomes for this project. This will help ensure that the Toronto Zoo will benefit in an ongoing way from the sharing of Dr. Bueddefeld’s expertise in social science research and project design. This funding will support the production of innovative research dissemination projects such as the proposed podcast and research video – in order to share these research findings beyond traditional academic contexts.

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Faculty Supervisor:

Chris Lemieux

Student:

Partner:

Toronto Zoo

Discipline:

Sociology

Sector:

Arts, entertainment and recreation; Other services (except public administration)

University:

Wilfrid Laurier University

Program:

Elevate

Understanding the Role of Ex Situ Conservation to Enhance Public Understanding, Awareness, and Support for Biodiversity

The purpose of this research is to use an evidence-based approach to further the Toronto Zoo’s social science and education programs, in order to support in situ conservation and biodiversity in relation to Canadian goals and the Aichi Targets. Using a collaborative approach this research will result in the co-production of knowledge, where the researcher and the partner organization collaborate in all four stages of the research project. This project is mutually beneficial for the researcher and the partner organization. The researcher will gain additional skills and networking opportunities as presented through the research project and the Mitacs Elevate training. This training and expertise can then be shared with the Toronto Zoo. This will be achieved through the collaborative research process, and through the workshops, webinars and training that the researcher will provide as part of the outcomes for this project. This will help ensure that the Toronto Zoo will benefit in an ongoing way from the sharing of Dr. Bueddefeld’s expertise in social science research and project design. This funding will support the production of innovative research dissemination projects such as the proposed podcast and research video – in order to share these research findings beyond traditional academic contexts.

View Full Project Description
Faculty Supervisor:

Chris Lemieux

Student:

Partner:

Toronto Zoo

Discipline:

Sociology

Sector:

Arts, entertainment and recreation; Other services (except public administration)

University:

Wilfrid Laurier University

Program:

Elevate

Evaluation of the effects of pipe-soil interaction on the stress based design of buried pipelines using advanced numerical modeling – Year two

Thermal stress analysis of the buried pipeline is an integral part of pipeline design and integrity analysis. Pipeline design code (e.g. CSA Z662) provides guidance on the thermal stress analysis of restrained and unrestrained pipe sections. However, a buried pipeline bend is more likely to be partially restrained, as the pipe is free to expand longitudinally, but the expansion is restrained by the pipe-soil interaction. No clear guidance is provided in the design code for a partially restrained condition. Besides, circumferential stresses induced by thermal expansion is not considered in the design code. One of the major challenges in the thermal stress analysis of buried pipelines is modeling the soil as the engineering properties of soil depend on a wide range of factors. The complex deformation characteristics of the buried pipeline in response to the thermal expansion induced in-plane and out-of-plane bending moments are significantly affected by pipe-soil interaction. The proposed research will investigate the gaps in the design code through advanced finite element analysis. The deliverables of this project will not only help industries, e.g. Northern Crescent, to improve design and integrity assessment of buried pipelines but also the outcomes can be useful to update the design codes.

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Faculty Supervisor:

Pooneh Maghoul

Student:

Partner:

Northern Crescent

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Elevate

Evaluation of the effects of pipe-soil interaction on the stress based design of buried pipelines using advanced numerical modeling

Thermal stress analysis of the buried pipeline is an integral part of pipeline design and integrity analysis. Pipeline design code (e.g. CSA Z662) provides guidance on the thermal stress analysis of restrained and unrestrained pipe sections. However, a buried pipeline bend is more likely to be partially restrained, as the pipe is free to expand longitudinally, but the expansion is restrained by the pipe-soil interaction. No clear guidance is provided in the design code for a partially restrained condition. Besides, circumferential stresses induced by thermal expansion is not considered in the design code. One of the major challenges in the thermal stress analysis of buried pipelines is modeling the soil as the engineering properties of soil depend on a wide range of factors. The complex deformation characteristics of the buried pipeline in response to the thermal expansion induced in-plane and out-of-plane bending moments are significantly affected by pipe-soil interaction. The proposed research will investigate the gaps in the design code through advanced finite element analysis. The deliverables of this project will not only help industries, e.g. Northern Crescent, to improve design and integrity assessment of buried pipelines but also the outcomes can be useful to update the design codes.

View Full Project Description
Faculty Supervisor:

Pooneh Maghoul

Student:

Partner:

Northern Crescent

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program:

Elevate

Next generation content development andmanagement

As a globally recognized credit service provider, DBRS plans to implement a new project
called next generation content development and management. DBRS expects to expand its current
online service offering to the users by launching a series of mobile apps with sophisticated analytical
tools.
The advent of these applications will fundamentally create an interactive environment which
allows users to dictate the way the information will be utilized. DBRS (partner organization) will test
the market appetite for these new products and determining what commercial model will work best for
DBRS and the user community. These applications will further enable DBRS to fulfill its promise of
providing “insight beyond the rating” and expand the rating business globally.

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Faculty Supervisor:

Melanie Cao

Student:

Partner:

Dominion Bond Rating Service Ltd

Discipline:

Mathematics

Sector:

Finance and Insurance

University:

York University

Program:

Accelerate

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