Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

31 620 projets complétés

2978
AB
5221
C.-B.
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projets par catégorie

The Development and Implementation of a Data Management Strategy for a Community Mental Health Organization – Year two

While the use of “big data” in the business world and health sector is well underway, mental health services are slower to use their big data, particularly for research and decision-making purposes. Researchers have identified a need to explore the use of big data in mental health organizations, such as identifying strategies and tools to optimize data use, and examining the role of big data in mental health service delivery and policy development. This project consists of the development and implementation of a data management strategy for a local community mental health organization with the overall aims of increasing the data utility and research capacity of the organization, and providing strategies and lessons learned for the use of big data in a community mental health setting. The project will include a scoping review, a needs assessment, and a developmental evaluation of the implementation of the strategy. In addition, it will include two follow-up studies that will use the organization’s data to: 1) examine the evolving use of virtual care in light of the COVID-19 pandemic; and, 2) develop a fidelity measure of the strengths model of case management, an intervention used by the organization.

Voir la description complète du projet
Superviseur du corps professoral :

Tim Aubry

Étudiant :

Partenaire :

Canadian Mental Health Association (Ottawa)

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology; Information and Communications Technology; Public Service, Policy, and Governance

Université :

University of Ottawa

Programme :

Elevate

The Development and Implementation of a Data Management Strategy for a Community Mental Health Organization

While the use of “big data” in the business world and health sector is well underway, mental health services are slower to use their big data, particularly for research and decision-making purposes. Researchers have identified a need to explore the use of big data in mental health organizations, such as identifying strategies and tools to optimize data use, and examining the role of big data in mental health service delivery and policy development. This project consists of the development and implementation of a data management strategy for a local community mental health organization with the overall aims of increasing the data utility and research capacity of the organization, and providing strategies and lessons learned for the use of big data in a community mental health setting. The project will include a scoping review, a needs assessment, and a developmental evaluation of the implementation of the strategy. In addition, it will include two follow-up studies that will use the organization’s data to: 1) examine the evolving use of virtual care in light of the COVID-19 pandemic; and, 2) develop a fidelity measure of the strengths model of case management, an intervention used by the organization.

Voir la description complète du projet
Superviseur du corps professoral :

Tim Aubry

Étudiant :

Partenaire :

Canadian Mental Health Association (Ottawa)

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology; Information and Communications Technology; Public Service, Policy, and Governance

Université :

University of Ottawa

Programme :

Elevate

Adel Chmait Business Strategy Internship – Memorial University , SubC Imaging

The proposed research project highlights the challenges that are faced in ocean tech and marine science sector. The research scope revolves around various external factors like economical changes and technological advancements. The project could possible address how different industries , like the oil and gas industry for example , could immensely affect the company’s operations. The project’s scope would also address how environmental factors , such as rising sea levels , affect the marine industry as a whole.

Voir la description complète du projet
Superviseur du corps professoral :

Leroy Murphy

Étudiant :

Partenaire :

SubC Imaging

Discipline :

Business

Secteur :

Manufacturing

Université :

Memorial University of Newfoundland

Programme :

Business Strategy Internship

Targeting the ubiquitin system function through GID4 – Year two

Protein turnover is an incompletely understood aspect of biology, important for various processes including adaption to environmental stimuli. Over 500 protein complexes (E3 ligases) are involved in marking proteins for degradation, but only a small number of these E3 ligases are well characterised. The current project seeks to develop chemical inhibitors of GID4—a key component of an E3 ligase complex called C-terminal to LisH (CTLH). This E3 ligase is thought to play a role in nutrient sensing and autophagy, which are both implicated in chemotherapy resistance of cancer cells. Yeast Gid4 is known to recognise and degrade substrates containing an N-terminal proline (Pro/N-end rule), but mammalian GID4 appears to have lost specificity for this recognition motif. I propose to test binding of inhibitors to GID4 in cells using a variety of techniques to establish compound activity and selectivity. Next, inhibitors will be used to investigate the role of CTLH in autophagy. Finally, proteins whose turnover is regulated by CTLH will be investigated. The development of Inhibitors against CTLH in this project will reveal insights into the biology of this poorly understood but therapeutically promising E3 ligase and may provide therapeutic opportunities in various disease settings such as cancer.

Voir la description complète du projet
Superviseur du corps professoral :

Cheryl Arrowsmith

Étudiant :

Partenaire :

Structural Genomics Consortium

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Elevate

Business Intelligence Consultant at Plaid Consulting

The business strategy internship focused on strategic marketing plans and competitive landscape analysis for Plaid Consulting Inc, which provides data integration, research, and analysis services to higher education institutions and governments. The results of this internship will support Plaid by ensuring the company can effectively run digital marketing campaigns for our products and services, as well as to help us better understand the competitive landscape in our core markets.

Voir la description complète du projet
Superviseur du corps professoral :

Eric Morse

Étudiant :

Partenaire :

Plaid Consulting Inc

Discipline :

Business

Secteur :

Information and cultural industries

Université :

The University of Western Ontario

Programme :

Business Strategy Internship

Targeting the ubiquitin system function through GID4

Protein turnover is an incompletely understood aspect of biology, important for various processes including adaption to environmental stimuli. Over 500 protein complexes (E3 ligases) are involved in marking proteins for degradation, but only a small number of these E3 ligases are well characterised. The current project seeks to develop chemical inhibitors of GID4—a key component of an E3 ligase complex called C-terminal to LisH (CTLH). This E3 ligase is thought to play a role in nutrient sensing and autophagy, which are both implicated in chemotherapy resistance of cancer cells. Yeast Gid4 is known to recognise and degrade substrates containing an N-terminal proline (Pro/N-end rule), but mammalian GID4 appears to have lost specificity for this recognition motif. I propose to test binding of inhibitors to GID4 in cells using a variety of techniques to establish compound activity and selectivity. Next, inhibitors will be used to investigate the role of CTLH in autophagy. Finally, proteins whose turnover is regulated by CTLH will be investigated. The development of Inhibitors against CTLH in this project will reveal insights into the biology of this poorly understood but therapeutically promising E3 ligase and may provide therapeutic opportunities in various disease settings such as cancer.

Voir la description complète du projet
Superviseur du corps professoral :

Dalia Barsyte-Lovejoy;Cheryl Arrowsmith

Étudiant :

Partenaire :

Structural Genomics Consortium

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Elevate

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.

Voir la description complète du projet
Superviseur du corps professoral :

François L'Écuyer

Étudiant :

Partenaire :

Technoscience Abitibi-Témiscamingue

Discipline :

Sociology

Secteur :

Other services (except public administration)

Université :

Université du Québec en Abitibi-Témiscamingue

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Joseph Flessa

Étudiant :

Partenaire :

People for Education

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

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?

Voir la description complète du projet
Superviseur du corps professoral :

Sylvain Perron

Étudiant :

Partenaire :

ISR Transit

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

HEC Montréal

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Yolande Chan

Étudiant :

Partenaire :

Synergiq Solutions

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

Queen's University

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Roger Melko

Étudiant :

Partenaire :

Zapata Canada

Discipline :

Physics

Secteur :

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

Université :

University of Waterloo

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Roger Melko

Étudiant :

Partenaire :

Zapata Canada

Discipline :

Physics

Secteur :

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

Université :

University of Waterloo

Programme :

Elevate

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Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.