Projets novateurs réalisés

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

30 508 projets complétés

2882
AB
5105
C.-B.
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projets par catégorie

Examining the Impact of COVID-19 on Mental Health and Access to Care in Nova Scotia: Addressing Health Disparities and Promoting Equity in Mental Health and Addiction Services

This research project aims to understand the impact of the COVID-19 pandemic on mental health and addiction care utilization in Nova Scotia. Mental health challenges have increased during the pandemic, affecting individuals’
well-being due to factors such as social isolation, economic strain, and heightened stress. Our study will analyze data on outpatient physician visits, community-based mental health and addiction care utilization, emergency
department visits, and inpatient hospitalizations. We will also explore the use of virtual care services compared to in-person care for individuals with mental health and addiction conditions. By identifying significant changes in
care utilization and assessing disparities among different subpopulations, we can develop targeted interventions to promote equitable access to mental health services in Nova Scotia. This research will greatly benefit our partner
organization by informing evidence-based strategies for improving mental health care in the region.

Voir la description complète du projet
Superviseur du corps professoral :

Cindy Feng

Étudiant :

Partenaire :

Research Nova Scotia;Nova Scotia Health

Discipline :

Sociology

Secteur :

Professional, scientific and technical services; Public administration

Université :

Dalhousie University

Programme :

Accelerate

Evaluation of Drug Checking Program

Including people who use drugs (PWUD) in research related to the use of substances and community harm-reduction
interventions is crucial for understanding the target population. This population can be difficult capture in research and may
be hesitant to participate due to the stigmatized nature of substance use. This scoping review will summarize the existing
literature on facilitating the engagement of PWUD in research, and identify the best practices and barriers to facilitating their
participation. The Sanguen CTS will be able to leverage these findings to inform the planning and implementation of further
research and evaluation activities within the site. It will provide recommendations for how to design research to maximize
participation from this unique population.

Voir la description complète du projet
Superviseur du corps professoral :

Zahid Butt

Étudiant :

Partenaire :

Sanguen Health Centre Foundation

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

University of Waterloo

Programme :

Accelerate

Promoting Gender Equality through Social Innovation

From women-only taxi companies in New Delhi to smokeless stoves in Uganda, innovation can transform the lives of women and girls around the globe. While it is well known that social innovation and women’s empowerment are each processes that drive change, there is little research to date connecting social innovation to the empowerment of women and girls. This project will identify how social innovation can empower women, through a partnership with the MATCH International Women’s Fund. This project will support MATCH through the launch, and development of first year of the fund. As the first of its kind in Canada, the fund will invest in social innovation projects proposed by women and girls in the global South. Through an extensive, multidisciplinary literature review, interviews with key players in the fields of social innovation and gender and development, the development of an evaluative framework, and profiles of the projects funded by MATCH, this project will help to shape the emerging field of “women and social innovation,” produce key recommendations, identify future areas of research and provide new insights to help empower women and girls in the developing world through innovation.

Voir la description complète du projet
Superviseur du corps professoral :

Bipasha Baruah

Étudiant :

Partenaire :

Match International

Discipline :

Sociology

Secteur :

Other services (except public administration)

Université :

Western University

Programme :

Accelerate

Exploring methods of intelligent development of P&IDs and generation of HAZOP notes

Safety is one of the greatest concerns during projects lifecycles, due to the potential risks and hazards inherent
in their activities. To reach an acceptable level of safety in projects and guarantee a hazard-free work
environment, some structured approaches should be applied. In this respect, Hazard and Operability (HAZOP)
analysis is a systematic process for identifying potential hazards and operability problems in projects. Piping and
Instrumentation Diagrams (P&IDs) serve as the primary input for HAZOP analysis. By using P&IDs, HAZOP
analysis can be beneficial in identifying process deviations, human errors, equipment failures, and other factors
that may lead to any hazardous situation. However, the traditional HAZOP analysis is mostly based on manual
checklists and lengthy brainstorming meetings which make the process slow, error-prone, tedious, and costly. In
this respect, and with the assistance of AI technology, the hazard identification phase can be automated by
automating the information extraction from P&IDs. In the proposed research project, the main focus is on
carrying out a comprehensive literature review and an industry-wide related survey to capture the challenges
and opportunities, and bottlenecks of current methods and investigate potentials of using AI methods to make
the process smart.

Voir la description complète du projet
Superviseur du corps professoral :

Osama Moselhi

Étudiant :

Partenaire :

Hatch Ltd

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Concordia University

Programme :

Accelerate

Development of context-aware data analysis framework

In a complex environment like mineral extraction, it is difficult to back the cause-effect relationship between a specific process variable and the overall performance (output, cost, GHG emission) with scientific principles. Consequently, process data is used to deduce an empirical correlation between the process variables and their estimated effects. In the present project, process data from a mineral extraction plant will be used to analyse the cause-effect relationship of various plant variables on critical performance metrics like energy consumption, cost, GHG emission etc.. Furthermore, the analysis will factor in the contextual variables like environment, labour, market demands, etc. to make the framework adapt to dynamic changes. The project will advance NTWIST’s ML and AI based data analytics framework to provide superior solutions to their clients. The project will simultaneously help the Canadian mineral industry to enhance their efficiency, and the Canada goal of reducing GHG emissions.

Voir la description complète du projet
Superviseur du corps professoral :

Vinay Prasad

Étudiant :

Partenaire :

NTwist

Discipline :

Engineering

Secteur :

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

Université :

University of Alberta

Programme :

Elevate

Crabs and Community: A Co-Created Assessment of Early Dungeness Crab (Metacarcinus magister) Life Stages in Tsawout First Nation’s Waters

Dungeness crab occupy three distinct habitats over their complex life cycle as they progress from larval to juvenile to adult stages. To understand Dungeness abundance then, attention needs to be paid to each life stage and its
unique interactions with its environment. In the Salish Sea, studies addressing early Dungeness crab life stages, such as the final larval (i.e., megalopae) and juvenile stages are lacking. In this project, we attempt to address
these knowledge gaps by monitoring Dungeness size and abundance at these two early life stages using light traps and intertidal surveys. This project will be co-directed and co-conducted by the Hakai Institute, the University
of British Columbia’s Centre for Indigenous Fisheries, and Tsawout First Nation, focusing on study sites identified by Tsawout community members. By working together to assess early Dungeness life stages and the potential
environmental regulators of Dungeness size and abundance, this project will complement broad-scale work being conducted by Hakai, and will meaningfully support Tsawout in developing a Nation-specific Dungeness crab
stewardship plan.

Voir la description complète du projet
Superviseur du corps professoral :

Andrea Reid

Étudiant :

Partenaire :

The Hakai Institute, part of the Tula Foundation

Discipline :

Life Sciences

Secteur :

Sustainability & the Environment; Indigenous Innovation; Aquaculture and Fishing

Université :

The University of British Columbia

Programme :

Accelerate

Question Answering over Long Clinical Documents

In traditional claim processing system, adjusters or claim handling specialists need to read massively number of medical reports like diagnosis report, medical assessment, prescription daily for different types of decision making. Such a manual review process is time-consuming and tiring, which causes slowness in serving claimants and consequently unpleasant customer experience. In the digitalization era, we aim to digitize the manual process of reviewing documents with NLP techniques. In this project, we aim at building an intelligent NLP system that can help the adjusters navigate and extract key information from the medical documents to accelerate the process. With the new system, the practitioners can ask questions and chat with the system to obtain desired information. This will enable adjusters to make proper decisions faster leading to better claimants’ experiences.

Voir la description complète du projet
Superviseur du corps professoral :

Wenhu Chen

Étudiant :

Partenaire :

Intact

Discipline :

Computer science

Secteur :

Finance and Insurance

Université :

University of Waterloo

Programme :

Accelerate

Improving Anti Money Laundering through Active learning Methods

Fighting against financial crime is a battle that humanity is losing as a whole. Money Laundering is the critical component of any criminal activity that needs to be profitable. Therefore, fighting money laundering is fighting against all crimes including terrorism, human trafficking, drugs and wildlife trafficking. The United Nations (UN) estimates 2 trillion USD is laundered globally, and only less than 0.2% of that can be recovered by the authorities. The main responsibility lies in the financial institutions, where the majority of the laundering activity occurs. However, these institutions use rule-based systems that generate huge amount false-positive alerts and fail to catch criminals. Machine learning is a promising tool that has shown good results for complex tasks such as this one. In this project we propose to tackle the problem of money laundering detection through active learning strategies, where a human expert provides labels for cases carefully selected by the machine learning algorithm. We will identify the most well suited active learning strategies for the problem using multiple types of data including individual customer data and sub-graphs. A new special-purpose active learning solution will be developed to achieve better performance for this problem

Voir la description complète du projet
Superviseur du corps professoral :

Paula Branco

Étudiant :

Partenaire :

H3M Analytics Inc.

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Ottawa

Programme :

Accelerate

Reaction-diffusion equations and hydrodynamic limit of interacting particle systems

Consider a physical system comprising a substantial quantity of particles that dynamically interact with each other over time. Since the number of particles is large, an explicit description of the microscopic behavior of the system becomes effectively impossible. An approach to understanding how these systems behave is to look at certain observables on a macroscopic scale, such as pressure, temperature, etc., and then to derive partial differential equations known as hydrodynamic equations which describe the evolution of the particles. In this project, we study the theoretical mechanism by which the microscopic dynamics give rise to the macroscopic ones. In particular, we are interested in systems whose hydrodynamic limit corresponds with an important class of equations known as reaction-diffusion equations. We expect to identify particle systems with the aforementioned property, and then rigorously establish the convergence to its corresponding hydrodynamic limit.

Voir la description complète du projet
Superviseur du corps professoral :

Louigi Addario-Berry

Étudiant :

Partenaire :

Instituto Nacional de Matematicas Pura E Aplicada

Discipline :

Mathematics

Secteur :

Other

Université :

McGill University

Programme :

Globalink Research Award

Cooperative Inversion of UAS-based Magnetic and Radiometric Observations in Mineral Exploration

Mineral exploration is one of the biggest drivers of the Canadian economy, and the critical minerals discovered in Canada
have global relevance for a green energy market. However, today’s mineral exploration projects require higher spatial
resolution and better subsurface models to become viable. Uncrewed aerial vehicles (UAV) present new exploration platforms
that carry geophysical sensors and acquire radiometric and magnetic data closer to the target than any other airborne platform.
This enables new modelling opportunities towards improved subsurface models. This study will combine radiometric data and
magnetic data in a cooperative inversion model to quantify how the acquisition of both data types improves mineral exploration
success. This project will result in innovative approaches which will keep Canada at the forefront of developing geophysical
exploration methods.

Voir la description complète du projet
Superviseur du corps professoral :

Alexander Braun

Étudiant :

Partenaire :

MWH Geo-Surveys Ltd

Discipline :

Earth science

Secteur :

Mining

Université :

Queen's University

Programme :

Accelerate

Evaluating mammalian diversity across a gradient of disturbance in Tsay Keh Dene Territory using eDNA

This project aims to identify the effects of human activities, particularly logging and mineral exploration, on mammals that live in the Tsay Keh Dene (TKD) Nation Territory. We plan to use a method called environmental
DNA (eDNA), which involves detecting genetic material from animals in the environment, to understand how much logging and at what distance logging activities influence the diversity of mammal species downstream in river
networks. The research will provide information about the different types of mammals in the TKD Nation area and will be useful for future land management and conservation planning. It will help the TKD Nation make decisions
about where and how much resource extraction should happen on their land. Moreover, this project will also help evaluate how effective eDNA can be as a tool to monitor the impact of disturbances on native fauna.

Voir la description complète du projet
Superviseur du corps professoral :

Heather Bryan

Étudiant :

Partenaire :

Chu Cho Environmental LLP;Tsay Keh Dene Nation

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Northern British Columbia

Programme :

Accelerate

Vibration serviceability performance of mass timber slabs with glulam beam supports and concrete toppings

This research addresses the vibration performance of mass timber floors, which is crucial for their structural design and maximum allowable span. As mass timber construction is relatively new, there is a lack of specific design
guidance, especially for floors with beam supports and concrete toppings. Our goal is to assess the vibration serviceability of a large-scale mass timber floor with glulam beam supports using vibration testing and subjective
evaluation. The outcomes will provide valuable data for the industry partner to support the design of vibrationresistant mass timber floors. Additionally, our research will contribute to the wood construction industry, potentially
influencing future revisions of the Canadian engineering wood design standard CSA O86. By enhancing our understanding and design capabilities, we aim to improve the overall performance and guidelines for mass timber
floors.

Voir la description complète du projet
Superviseur du corps professoral :

Jianhui Zhou

Étudiant :

Partenaire :

Western Archrib Inc.

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Northern British Columbia

Programme :

Accelerate

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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.