Projets novateurs réalisés

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

31 620 projets complétés

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856
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696
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899
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9419
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9858
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98
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619
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1192
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Projets par catégorie

SARS-CoV-2 Genomics for COVID-19 wastewater tracking

This project aims to develop SARS-CoV-2 genomics tools to apply to the tracking of COVID-19 in municipal wastewater. Detection of SARS-CoV-2 genetic material in wastewater has been used to estimate prevalence of the virus in the corresponding community. This has the potential to be a relatively inexpensive early warning system that is complementary to testing in the clinic. However, genome sequencing to differentiate between lineages or genetic variants, which could be used to track origin of outbreaks, has not yet been applied to wastewater. There are still a number of technical challenges that must be solved in processing the wastewater samples such that the viral genetic material is suitable for sequencing, There are also bioinformatics challenges to solve, related to extraction of meaningful genome sequence information from complex mixtures of microbial communities, and mixtures of different SARS-CoV-2 genetic variants. The two interns will therefore directly address these two challenges, with one of them focusing on genome sequencing, and the other on bioinformatics.

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Superviseur du corps professoral :

Jozef Nissimov;Trevor Charles

Étudiant :

Partenaire :

Metagenom

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Waterloo

Programme :

Accelerate

Assessment and Information Dashboard of COVID 19 Readiness for Canadian Businesses

The project aims to research and develop the most effective way for making COVID 19 guidelines into measurable actions for organizations. This research will enhance Diversio’s Audit tool in two parallel tracks: 1) Methodology for developing sector- and region-specific compliance surveys, translating those survey responses into a scoring methodology, and 2) Technology for automating the process of converting survey responses into a real-time dynamic information dashboard. The research outcomes will provide real-time indicators of preparedness for COVID 19 responses and a tool for employers and employees to conduct just-in-time self-administered compliance checks to identify gaps and improve their responses to COVID 19.

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Superviseur du corps professoral :

Philip Bigelow;Helen Chen

Étudiant :

Partenaire :

Diversio

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Waterloo

Programme :

Accelerate

Industry Internships on Smart Applications and Virtual Infrastructures

This MITACS Accelerate program will support a internships for graduate students in the areas of
services and applications using next generation communications, Internet, and cloud computing. The
interns will be placed in Canadian telecom and networking providers and vendors and will undertake
research projects defined jointly with these partners. The program will prepare graduates to work and
industry and will foster collaboration between universities and industry. The program will strengthen
the Canadian industrial base in information and communications technology through the preparation of
highly qualified manpower with expertise in the design and operation of globally competitive ICT
infrastructure and the creation of innovative and disruptive products, services, and applications.

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Superviseur du corps professoral :

Ben Liang;Alberto Leon-Garcia;Tho Le Ngoc;Hans-Arno Jacobsen;Paul Chow

Étudiant :

Partenaire :

TELUS (Scarborough, ON);Ericsson Canada Inc (Montreal, QC);Allstream Inc;Cisco Systems;Juniper Networks

Discipline :

Engineering

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

McGill University; University of Toronto

Programme :

Accelerate

Soil Stabilization with DFI

Over the years, numerous techniques and additives have been employed to increase soil strength and stability – from filling a bog with stones or other fill to compacting the soil with heavy machinery or mixing soil with cement or lime and allowing the resulting mix to harden. Duraflex Solutions Ltd has a new, environmentally-friendly product named DFI for stabilizing weak soils. DFI has worked well in Europe and is processed by simply mixing the top layer of the soil with the product and leaving the mix to harden. Duraflex Solutions Ltd wants to determine if this product performs in Canadian soils and the Canadian climate as well as it does in Europe, so a research program involving laboratory and field work will be undertaken to establish how to use DFI successfully in Canada.

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Superviseur du corps professoral :

Nigel Graham Shrive

Étudiant :

Partenaire :

Duraflex Solutions Ltd

Discipline :

Engineering

Secteur :

Construction and infrastructure

Université :

University of Calgary

Programme :

Accelerate

Remote Activity Monitoring and Fall Detection System

Gold Sentintel has built a non-visual fall detection and respiration monitoring product for Long Term Care called ElephasCare LTC. ElephasCare LTC utilizes passive radar sensors to detect residents’ position within their rooms, monitoring motion and respiration, and automatically notifying caregivers in the event of a fall, or lack of respiration. This project looks to enhance the feature set to add temperature and other vital sign sensing – all remotely and autonomously monitored, reducing personal contact with caregivers, promoting physical distancing, and providing early detection for potentially infectious diseases where temperature, respiration or other vital sign metrics are indicative of possible infection.

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Superviseur du corps professoral :

George Shaker

Étudiant :

Partenaire :

Gold Sentintel Inc

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Waterloo

Programme :

Accelerate

Towards disability inclusive COVID-19 policy

Youth with disabilities and their caregivers are disproportionately affected both by the COVID-19 pandemic and the policy measures that are adopted in response. Given the increased risk for this vulnerable population, intentionally planning and co-designing policy to meet the needs of youth with disabilities in emergency preparedness efforts is critical. Unfortunately, there is inadequate data collection and insufficient COVID-19 emergency planning and response for youth with disabilities. This knowledge gap means consideration of health and social policy implications specific to the needs and experiences of youth with disabilities and their families are lacking.
This project aims to facilitate a disability-inclusive pandemic response identifying ways governments can engage community partner organizations representing persons with disabilities while simultaneously developing community-based solutions to enhance their capacity to cope with outbreaks. The partners will benefit from the value addition of interns supporting their robust COVID-19 community engagement work. Partners and interns will work together to address issues, increase awareness and link the community and government around the remaining challenges facing persons with disabilities.

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Superviseur du corps professoral :

Jennifer Zwicker;Meaghan Edwards

Étudiant :

Partenaire :

Cerebral Palsy Association in Alberta

Discipline :

Sociology

Secteur :

Other services (except public administration)

Université :

University of Calgary

Programme :

Accelerate

Distributed data collection

Submitted without Project overview, exception was approved by Deanna on Wed 23/05/2012 8:03 AM.

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Superviseur du corps professoral :

Eugene Fiume

Étudiant :

Partenaire :

SecureKey Technologies Inc

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Automated escalation and incident management in healthcare during mass casualties and pandemic events (Part 2)

In healthcare, communication and clear roles and responsibilities are critical in delivering care to patients. This is difficult to achieve in the best of times; during pandemics and mass casualty events, communication is the first thing to fail, leading to inefficiency, confusion, and ultimately harm to patients. This project aims to develop an automated system that escalates critical events to the required healthcare providers in a reliable and closed-loop manner. This would replace the current manual and convoluted process in place at most hospitals, which is slow, error-prone, and often ineffective.
The interns will be involved in designing a user interface that requires minimal input, and a backend logic and algorithm that can route information to those who need to know. In the event that certain providers or communication methods are unavailable, the system will be able to adapt and escalate the urgency to find proxies and other cross-covering providers.
With the development of these systems, Hypercare will be able to strengthen its product line and value proposition to larger and more complex healthcare systems.

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Superviseur du corps professoral :

Peter Jones

Étudiant :

Partenaire :

Hypercare Inc

Discipline :

Computer science

Secteur :

Administrative and support, waste management and remediation services; Health and Related Sciences & Technology; Information and cultural industries

Université :

Ontario College of Art & Design University

Programme :

Accelerate

Leveraging Community Support Services to Support Integrated Health and Social System Response to COVID-19

Social distancing due to COVID-19 has meant that older adults have not been as able to see their doctors. Older adults have chronic conditions, such as diabetes, that can flare up and cause emergencies. So, finding older adults who are unwell is very important. Community support services, such as those providing meals-on-wheels, are available to find older adults who need help. Researchers designed a self-report tool to use over the phone to see if a person needs to see a health-care worker or go to the hospital. This project will teach a community support service how to use this tool and note the steps to use the tool well. The information about how the community support service clients are doing during the pandemic will be described to help health-care and government planners understand how older adults are feeling and what help they need during the pandemic.

Voir la description complète du projet
Superviseur du corps professoral :

George Heckman

Étudiant :

Partenaire :

Community Care Concepts of Woolwich, Wellesley, and Wilmot Townships

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

University of Waterloo

Programme :

Accelerate

Développement et évaluation de protections individuelles contre la COVID-19 adaptées à la pratique du hockey

La pratique du hockey est actuellement interdite en raison de l’absence de mesures de protection des joueurs éprouvées contre la COVID-19. La compagnie CCM souhaite ainsi développer un dispositif de protection individuelle contre la COVID-19 pour les joueurs de hockey. Les concepts actuellement à l’étude visent à éviter la projection et l’inhalation de gouttelettes qui sont les principaux vecteurs de transmission du virus. Or, il n’existe aucun test normatif sur la protection offerte contre les projections de gouttelettes. L’objectif est de développer des tests sur la protection offerte contre les gouttelettes et leur propagation dans l’environnement, ainsi que la respirabilité, la visibilité et le confort du dispositif en condition de match. L’effet du dispositif sur la teneur en gouttelettes et en aérosols dans l’enceinte de l’environnement de match simulé sera également évalué. Ces essais permettront d’améliorer les concepts, et d’évaluer la faisabilité de reprendre la pratique du hockey de façon sécuritaire avec ce type de protection.

Voir la description complète du projet
Superviseur du corps professoral :

Eric Wagnac

Étudiant :

Partenaire :

Sport Maska Inc

Discipline :

Engineering

Secteur :

Manufacturing; Retail trade; Wholesale trade

Université :

École de technologie supérieure

Programme :

Accelerate

Utilization of high pressure processing (HPP) to deactivate viruses and pathogens

Hospitals, diagnostic laboratories and medical research organizations have witnessed an upsurge in the generation of biohazardous medical waste during the COVID-19 pandemic. This waste is potentially detrimental to the environment and public health and needs to be adequately decontaminated and disposed. Incineration is the most routinely employed technique to treat biohazardous waste but the method generates a sizable quantity of greenhouse gas emissions and toxic by-products. The current project will assess the efficacy of high-pressure processing (HPP) to decontaminate and reduce the volume of biohazardous waste. HPP is environmentally sustainable, economical and scalable to meet the current need of Canadian hospitals and also offers the added benefit of generating source material for the development of vaccines against COVID-19. The proposed project will bring together the laboratory of Vikramaditya Yadav at the University of British Columbia, one of the leading research groups in synthetic biology and bioprocessing in Canada, and AvantGarde, which operates BC’s only tolling HPP facility, and will deliver an economical and practical solution to the medical waste disposal problem that has been compounded by COVID-19.

Voir la description complète du projet
Superviseur du corps professoral :

Vikramaditya Yadav

Étudiant :

Partenaire :

AvantGarde Coatings

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Deep learning-driven strategies for COVID-19 Detection and Risk Stratification

A critical step in the fight against COVID-19 is effective screening of infected patients for infection detection and risk assessment. While viral testing such as rt-PCR is the gold standard for infection detection as it is highly specific, it is moderately sensitive and is a very time-consuming, laborious, and complicated manual process that is in short supply. While faster viral testing methods are becoming available, they remain in short supply and do not provide important information on severity and extent. The goal of the proposed project is to investigate and develop deep-learning strategies for COVID-19 detection and risk stratification based on chest radiography. The objectives are designing tailored deep neural networks for COVID-19 detection for both chest X-ray and CT; risk stratification for both chest X-ray and CT, as well as strategies for secure clinical decision support.

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Superviseur du corps professoral :

John Zelek;Alexander Wong

Étudiant :

Partenaire :

Rogers Communications Inc.;DarwinAI

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

University of Waterloo

Programme :

Accelerate