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
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696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
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Projets par catégorie

Responsible roadmap: Informing road disturbance development decision-making in the Athabasca Oil Sands Region through process-based knowledge.

In the Athabasca Oil Sands Region (AOSR) of Alberta, boreal peatland ecosystems are becoming increasingly fractionated by linear disturbances associated with resource exploration and subsequent extraction. Roads, for example, have the potential to alter peatlands through changes to flow regimes, runoff generation to downstream aquatic systems, and carbon sequestration. The heterogeneous geology in the AOSR causes a wide range of hydrological conditions and peatland types, and therefore peatlands may respond very differently to road development. However, hydrological studies of road impacts on peatlands in oil sands areas are rare. In this proposed research, we aim to better characterize the changes to the hydrology and carbon balance of a wide range of peatland types with varying watershed configurations. In doing so, this research will provide a better understanding the current hydrological state and carbon balance of northern peatlands that are currently affected by road development. The results generated in this study will also be applied to existing spatial datasets to help land managers in identifying peatlands that are at a particular risk to disturbance. InnoTech Alberta will benefit primarily through gaining access to this dataset regional-scale hydrological (groundwater and surface water) models for the AOSR, and would benefit from access to the local high-resolution data generated in my proposed study. Such data would be extremely useful for model calibration/validation, as well as upscaling and addressing wetland vulnerability from multiple stressors, an important objective of their work in the Oil Sands Monitoring program.

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Superviseur du corps professoral :

Richard Petrone

Étudiant :

Partenaire :

InnoTech Alberta

Discipline :

Earth science

Secteur :

Environmental Science and Technology; Water; Oil and Gas

Université :

University of Waterloo

Programme :

Elevate

Repenser l’offre touristique : un format hybride pour les festivals, les événements et les attractions

Dans un contexte de pandémie où les entreprises touristiques et culturelles ont dû innover pour compenser l’interdiction de programmer des activités en présentiel, cette étude vise à se pencher sur l’opportunité de diversifier l’offre touristique, en mettant en place une programmation hybride, à la fois viable et complémentaire aux activités en présentiel. Bien que plusieurs organismes aient développé une programmation virtuelle durant la dernière année, le défi est de comprendre comment cette nouvelle opportunité peut s’inscrire de manière permanente dans le modèle d’affaires des entreprises. Il sera alors question de comparer les meilleures pratiques, tant internationales que locales, auprès d’attractions, de festivals et d’événements ayant franchi le cap du virtuel. De ce fait, cette recherche exploratoire permettra d’étudier un phénomène récent auquel on attribue tout de même des bénéfices, tels que la diversification des revenus ou une meilleure inclusivité et accessibilité pour un nouveau public.

Voir la description complète du projet
Superviseur du corps professoral :

Paul Arseneault

Étudiant :

Partenaire :

Événements Attractions Québec

Discipline :

Sociology

Secteur :

Arts, entertainment and recreation

Université :

Université du Québec à Montréal

Programme :

Business Strategy Internship

Evaluation of CO2 Storage Potential in the Deep Mannville Coals – Phase 1: Vertical Well Injection Testing

To support blue hydrogen economy processes that generate CO2 as a by-product, and greenhouse gas (GHG) sequestration studies in general, the injection and storage of CO2 into deep (~1500m), un-minable coal seams hosted in the Mannville Formation of Alberta will be studied. A vertical (pilot) well will be drilled, cored, and completed in the target Mannville coal seams, and tested to determine the suitability of deep Mannville coals of Alberta for CO2 sequestration. The interns hired for this research program will perform laboratory and field data analysis associated with the vertical pilot well testing program to assist with the evaluation of the Mannville coal as a target for CO2 storage. This evaluation is of great importance to the partner organization because they they require a suitable repository for CO2, which is a by-product of their hydrogen-generating process.

Voir la description complète du projet
Superviseur du corps professoral :

Christopher R Clarkson

Étudiant :

Partenaire :

Cvictus Inc.

Discipline :

Engineering

Secteur :

Agriculture; Manufacturing

Université :

University of Calgary

Programme :

Accelerate

Develop a broader understanding of the bacterial diversity in nearshore areas of the St. Lawrence River and the understand the influence of anthropogenic inputs.

For this project we will better understand the health of the St Lawrence River through the lens of bacterial diversity. The ability of natural waterways to process anthropogenic inputs is dependant on the bacterial health of the ecosystem. This study will help to characterise the bacterial community and allow us to better understand the processes related to carbon cycling. Through bacterial diversity assessments (including source tracking for E. Coli in particular) for 2021-2022 through this project, combined with previously collected samples 2017-2020 along the full length of the St Lawrence River, this research will contribute to the development of an ecological indicator for the river.

Voir la description complète du projet
Superviseur du corps professoral :

François Guillemette

Étudiant :

Partenaire :

St. Lawrence River Institute of Environmental Sciences

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Université du Québec à Trois-Rivières

Programme :

Accelerate

Resistant Starch Prebiotic Effects in Chronic Kidney Disease (ReSPECKD) study

Chronic Kidney Disease (CKD) is associated with a reduced quality of life and an increased risk of kidney failure, cardiovascular events, and all-cause mortality. The goal of this project is to investigate whether the consumption of resistant potato starch (RPS) in addition to current standard care for CKD will reduce uremic toxins and symptoms by altering gut microbiota in patients with CKD. Strategies to reduce the production of these toxins by the gut microbiome in patients with CKD are highly desirable because they may lead to reduced symptoms and delay the onset of dialysis. A clinical trial will be conducted at the partner’s site, the Chronic Disease Innovation Centre (CDIC), to investigate the impact of RSP consumption on gut microbiota and whether these changes impact the concentrations of uremic toxins and uremic symptoms in patients with CKD. Delaying the onset of dialysis in a patient by 6 months has the potential to save upwards of $30,000 in healthcare expenditures. CDIC works with the Manitoba Renal Program which oversees the care of patients with CKD in Manitoba. The Elevate Fellow will support the start up and completion of the clinical trial at CDIC.

Voir la description complète du projet
Superviseur du corps professoral :

Dylan MacKay

Étudiant :

Partenaire :

Chronic Disease Innovation Centre (CDIC)

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology; Agriculture and Food; Other

Université :

University of Manitoba

Programme :

Accelerate

Autonomous Micro-Cell Multilevel Inverter for Utility Scale PV Farms

The proposed product “autonomous three-phase micro-cell multilevel inverter” comes to offer scalable and “plug and power-up” solution for both large scale photovoltaic PV farms and small-scale residential installations. These three phase micro-cells can be scaled in any direction (parallel or series) to increase output power or voltage. Furthermore, each micro-cell is small light weighted dc-ac converter that can be easily mounted on the PV module. Moreover, the proposed solution does not rely on centralized communications with a master unit to synchronize its output. Instead, it relies on stochastic engine that can estimate the physical location and order of each micro-cell and adjust its control accordingly. Hence, all micro-cells can work in harmony without any communication and supply the available solar power to the utility grid.

Voir la description complète du projet
Superviseur du corps professoral :

Vijay Sood

Étudiant :

Partenaire :

I-INC Foundation for Business Development

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Ontario Institute of Technology

Programme :

Accelerate

Digital data: linking rural innovation, access, and resiliency through community hubs

Online Digital Hubs (ODH) have the capacity to promote resiliency and connectivity, countering barriers to accessibility and disruption (Lamport-Lewis & Deacon 2020; McShane et.al 2012; Rundel et.al 2020). This is of particular relevance in rural and peri-rural spaces as traditional third spaces such as churches and community centers are in decline, taking with it opportunity for knowledge sharing and overlooking the lack of resources for new and atypical voices in community planning. In collaboration with the Social Research and Planning Council of United Way Perth Huron, this project will investigate how online forums and databases have the capacity to bridge the divide in communication and digital navigation which can exist in virtual communities. The project will illustrate the benefit, potential, and future application of ODH across Perth Huron through an analysis of existing hubs globally, emphasis on rural and Canadian context. The project deliverable will be a report outlining findings and relevance for future action which the United Way Perth Huron shall use for the planning of future projects and discussions with community partners.

Voir la description complète du projet
Superviseur du corps professoral :

Leith Deacon

Étudiant :

Partenaire :

United Way Perth-Huron Social Research Planning Council

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology; Other services (except public administration)

Université :

University of Guelph

Programme :

Accelerate

Équité et discrimination des modèles en assurance, un état de l’art

Historiquement, les primes d’assurance ont été ainsi différenciées à l’aide de quelques variables tarifaires, comme la surface de la maison en assurance habitation ou la puissance de la voiture en assurance automobile, mais aussi du genre ou de l’âge de l’assuré. Mais si la corrélation globale entre âge et coût du risque est indéniable dans de nombreux cas, et bien quantifiées par les modèles classiques, de régression ou d’apprentissage statistiques, les relations de causalité sont moins simples qu’il n’y paraît. Or ce sont ces dernières qui peuvent justifier le caractère juste d’un tarif. Et plusieurs directives à travers le monde ont demandé un principe d’égalité de traitement lors du calcul des primes. Le but de ce projet est d’analyser cette possible discrimination des algorithmes de tarification, et d’envisager des tests statistiques.

Voir la description complète du projet
Superviseur du corps professoral :

Arthur Charpentier

Étudiant :

Partenaire :

Ernst & Young LLP

Discipline :

Mathematics

Secteur :

Finance and Insurance

Université :

Université du Québec à Montréal

Programme :

Accelerate

Risk of Confusion for Trademarks

An important legal task for which natural language processing has a use-case is for assessing the risk of confusion for trademarks. By means of a thorough understanding of factors which are used by legal professionals to make decisions in this domain, we replicate the process by using state-of-the-art deep learning models for natural language processing. Furthermore, we promote access to justice by enabling members of the general public to utilize this framework, with much simpler input requirements. In other words, our system has a strong foundation in trademark law, and is able to provide useful information to people looking to protect their intellectual property.

Voir la description complète du projet
Superviseur du corps professoral :

Xiaodan Zhu;Samuel Dahan

Étudiant :

Partenaire :

I-INC Foundation for Business Development

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Queen's University

Programme :

Accelerate

Development of deep neural networks for analyzing the prospectivity of Nova Scotia offshore basins

Unlocking the energy potential of offshore basins is key to fully evaluate Canada’s ability to satisfy its future energy demand while respecting UN Sustainable Development Goal 7, Affordable and Clean Energy. In frontier basins, including offshore Nova Scotia, deep-water exploration entails various risks due to uncertain geological settings, thus requiring comprehensive prospect analyses and risk assessments. One of the major sources of hazard is mass transport deposits (MTDs), which commonly host over-pressured subsurface zones. MTDs constitute a considerable volume of sediments in deep-water environments, and understanding their distribution is crucial in assessing drilling hazards and development planning. Here, we propose designing and implementing the first artificial intelligence platform to automatically identify MTDs in over 10,000 square kilometres of offshore Nova Scotia. Further, we apply state-of-the-art processing and interpretation techniques on multiple geophysical and well datasets to determine the distribution and reservoir potential of identified MTDs and associated sediments. We will explore how submarine sediment failures control the formation of new deep-water channel systems, thus delivering new insight on sediment transport and accumulation mechanisms. The proposed project will contribute to understanding Nova Scotia’s offshore energy resources.

Voir la description complète du projet
Superviseur du corps professoral :

Vittorio Maselli

Étudiant :

Partenaire :

Offshore Energy Research Association of Nova Scotia

Discipline :

Earth science

Secteur :

Mining; Professional, scientific and technical services

Université :

Dalhousie University

Programme :

Elevate

Nighttime Bed Occupancy Pilot Project

The care and safety of Persons Living with Dementia (PLWD) within assisted living and other communal living models is extremely important. One key symptom of dementia is disorientation for time and/or place and this can lead to wandering behaviours for residents. Overnight in care homes, the limited is focused on required resident care cannot watch all residents that are expected to be sleeping in their rooms. A resident that wanders is at risk for falls or may wander into the room of another resident disturbing them or worse. The result is that care homes need a solution that can monitor and alert staff for residents that have left their beds but do so in a way that does not disturb other residents. This project will assess the Tochtech SleepSense sensor within a specialized memory care facility to assess its performance and effects of staff workflow and efficiency.

Voir la description complète du projet
Superviseur du corps professoral :

Bruce Wallace;Mirou Jaana;Frank Knoefel

Étudiant :

Partenaire :

Elizabeth Bruyere Continuing Care Hospital;Tochtech Technologies Ltd.;All Seniors’ Care

Discipline :

Engineering

Secteur :

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

Université :

Carleton University

Programme :

Accelerate

Applications Of Data-Driven Analytics and Decision-Making Optimization for Solar-powered Energy Hubs Integrated With Electrical Vehicles

The worldwide urge to seek solutions for global warming and its negative environmental impacts, has driven the increased adoption of renewable energy resources and electric vehicles (EVs). This increase in the share of renewable energy generation and EV users has widened the implementation of distributed energy resources (DERs) systems and encouraged the move towards developing and modeling smart energy hubs. Boxbrite Technologies is a leading cleantech company in the region of Waterloo and develops software solutions for the renewable energy industry that aims to optimize energy systems. The solar charging systems that are overseen by Boxbrite are examples of energy hub systems, which can be better optimized via the full utilization of available data. However, several challenges are imposed on the energy hub optimization that include EVs charging system due to high degree of uncertainties in renewable DERs power output, demand, and unavailability of accurate forecasting profiles for the renewable power generation and EV charging behaviour. This research will take the full advantage of recent advancements in big data tools by strategically integrating them within the energy system decision-making. The proposed project is designed to be a top-to-bottom comprehensive study to investigate how energy hubs powered by renewable energy and EV infrastructure can be utilized to enhance the profitability of all stakeholders involved. It is expected that this project will guide the deployment of renewable DER on a larger scale, providing deeper visibility into the performance of energy hubs as one of the potential solutions to Canada’s decarbonization goals.

Voir la description complète du projet
Superviseur du corps professoral :

Ali Elkamel

Étudiant :

Partenaire :

Boxbrite Technologies Inc.;Net Zero Atlantic

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

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.