Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

30508 Completed Projects

2882
AB
5105
BC
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projects by Category

Revue de littérature : 12 femmes innues et atikamekw – 12 parcours de vie – voix et voies de la vie professionnelle — Portraits féminins et réflexion comparative sur la sagesse, les valeurs et l’éthique du travail

Rédaction d’une revue de littérature narrative sur la sagesse des femmes autochtones dans le monde francophone en 2024 en partenariat avec Femmes autochtones Québec (FAQ-QNW). Cette revue de littérature aura un double objectif :
1) Orienter les chercheurs et partenaires dans ce qui s’est déjà écrit sur le sujet avant 2024;
2) Promouvoir, pour FAQ-QNW, les sources, les caractéristiques et les principes d’une éthique professionnelle des femmes autochtones qui travaillent dans leur communauté afin d’inspirer la persévérance scolaire et la résilience des futures générations. En effet, la littérature autochtone est porteuse de principes fondamentaux liés aux territoires d’origines, aux valeurs et aux pratiques ancestrales portées par les femmes autochtones, à leurs traumatismes, à leurs
dépossessions, mais aussi à la force de leurs transmissions et leurs combats pour retrouver leurs droits et leur identité culturelle dans une société moderne qui les a ignorées voir rabaissées (Puana, 2023).
Puana, S.D., (janvier-février 2023). La revanche des femmes innues : actrices de leur propre histoire. Actualités
des Nations.1-2023

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Faculty Supervisor:

Marc Jean

Student:

Partner:

Femmes autochtones Québec

Discipline:

Sociology

Sector:

Social Innovation; Indigenous Innovation

University:

Université du Québec à Chicoutimi

Program:

Accelerate

McMaster MPP in Digital Society: Telus

(1) TELUS Agriculture, a business unit of TELUS, specializes in providing digital solutions and technology-driven services to the agriculture sector. Its main activity involves developing and offering innovative platforms, software applications, and data analytics tools tailored to the unique needs of farmers, agribusinesses, and stakeholders across the agriculture value chain. TELUS Agriculture’s solutions aim to enhance productivity, sustainability, and profitability in agriculture by leveraging digital technologies such as precision agriculture, data analytics, IoT, and remote sensing.
(2) The anticipated social and economic benefits to Canada resulting from TELUS Agriculture’s participation in the research highlighted above are significant. By contributing to the advancement of digitalization and data utilization in the agriculture sector, TELUS Agriculture helps drive innovation, efficiency, and competitiveness in Canadian agriculture. This, in turn, fosters economic growth, job creation, and prosperity in rural communities across Canada. Additionally, improved data collection and coordination in agriculture enable better decision-making, resource management, and risk mitigation, leading to enhanced food security, environmental sustainability, and resilience to climate change impacts. Overall, TELUS Agriculture’s involvement in this research project to shape ag data discourse contributes to the modernization and sustainability of Canada’s agriculture sector, benefiting both the industry and society as a whole.

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Faculty Supervisor:

Adrienne Davidson

Student:

Partner:

TELUS Agriculture

Discipline:

Sociology

Sector:

Agriculture; Information and cultural industries

University:

McMaster University

Program:

Accelerate

Data Visualization Incorporating Social Collaboration for Asset Management

Through this research project the intern will investigate the potential of data visualization incorporating a social collaboration element tied to typical data types in asset management. The partner organization Riva Modeling Systems will benefit from the proposed research by providing its clients with an enhanced asset management tool that allows various groups or individuals within the client organization to collaborate in various data views and to see their interaction records on the central dashboard with visualized data. The impact of this enhancement would include that it would set apart the company from its competitors with this novel collaboration functionality and that it would enable client organizations to engage in more effective collaboration and to achieve more optimal results in asset management.

View Full Project Description
Faculty Supervisor:

Eugene Fiume

Student:

Partner:

Riva Modeling Systems

Discipline:

Computer science

Sector:

Finance and Insurance; Information and cultural industries

University:

University of Toronto

Program:

Accelerate

McMaster MPP in Digital Society: Building a Better Picture of Competition in Canada

CAMP is a Canadian think tank focused on understanding and addressing the issues caused by monopoly and a lack of competition in the Canadian economy. As a driver of economic productivity, strong and effective policy to support competition is key to the future success of the Canadian economy. Key to improving competition in the Canadian economy is building and clearly communicating an informed understanding of the current state of competition, how we got there, and what policy makers might do to improve that trajectory.

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Faculty Supervisor:

Greg Flynn

Student:

Partner:

Canadian Anti-Monopoly Project

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

McMaster University

Program:

Accelerate

Development of plaque assays for marine and freshwater algal and cyanobacterial viruses

Cyanobacterial and microalgal host cells produce a range of bioactive compounds that makes them good candidates for drug discovery. At the same time, they themselves get infected by a range of different viruses. This means that understanding the interplay of these hosts with the viruses that infect them is crucial in order to optimize bioactive compound production and harvesting. There is therefore a need to learn more about the viruses that infect these hosts. A major obstacle is the inability for many of these hosts to grow on a solid media, which in turn does not allow to characterize their viruses by a plaque assay; a common microbiological method for assessing the infectivity of viruses and their lifestyle. This project will develop new plaque assay methods for cyanobacterial and algal viruses, and optimize the growth conditions required for the hosts to grow on solid medium.

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Faculty Supervisor:

Jozef Nissimov

Student:

Partner:

State Research Institution «Kyiv Academic University»

Discipline:

Life Sciences

Sector:

Pharmaceuticals; Technology; Biotechnology

University:

University of Waterloo

Program:

Globalink Research Award

Path planning algorithm design for autonomous surveillance and coverage task

This project aims to develop a system that improves how robots with restricted operating ranges plan their indoor paths for cleaning or surveying. By dividing indoor spaces into manageable areas, the system will enable robots to complete their jobs more efficiently, optimally covering all necessary ground. This project involves both algorithm development and its implementation in a format that will be convenient to use for other robotics developers.

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Faculty Supervisor:

Baris Fidan

Student:

Partner:

Ukrainian Catholic University

Discipline:

Computer science

Sector:

Automotive; Technology

University:

University of Waterloo

Program:

Globalink Research Award

Developing Data Strategies to Enable Healthcare Machine Learning

The project “Developing Data Strategies to Enable Healthcare Machine Learning” aims to develop effective strategies to collect, curate, and maintain data in healthcare. A data strategy which enables Artificial Intelligence (AI)/Machine Learning (ML) models plays a pivotal role in building response healthcare solutions. The project is focused on understanding the fairness aspects of care quality at Grand River Hospital in the K-W region. To bring the AI revolution to healthcare systems, it is necessary to accomplish the critical task of understanding state of data collection and establish solid data foundations. The primary goal in the project will be to address this foundational need, which can impact the success of efforts beyond this project. The project will develop and build innovative solutions to strategically foster and stimulate the future advances at the hospital and the University of Waterloo to build healthcare systems for the digital age.

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Faculty Supervisor:

Sirisha Rambhatla

Student:

Partner:

National Technical University of Ukraine

Discipline:

Computer science

Sector:

Artificial Intelligence; Information and Communications Technology; Health and Related Sciences & Technology

University:

University of Waterloo

Program:

Globalink Research Award

Self-supervised Learning Applied to Geological Data

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

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Faculty Supervisor:

Baochun Li

Student:

Partner:

KORE Geosystems Inc.

Discipline:

Computer science

Sector:

Mining

University:

University of Toronto

Program:

Accelerate

Canadian Parks and Wilderness Conservation Education and Outreach

??The Canadian Parks and Wilderness Society – New Brunswick Chapter is a non-profit organization dedicated to the permanent protection of land, rivers, and ocean areas in New Brunswick. We work to ensure that parks are managed to protect the nature within them, and we promote awareness of our connection to nature and the inherent values of wilderness through our education and outreach programs. ?We work collaboratively with community groups, governments, industry, Indigenous Nations, and individuals across the province, to encourage conservation action. ?Through this project, the intern will work on various outreach and education projects, such as facilitating in-parks, nature education events and activities, and drafting communication materials for our terrestrial and marine conservation campaigns. This work is critical in expanding our reach to more communities in New Brunswick, and increasing environmental awareness, nature stewardship, and support for conservation. ?

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Faculty Supervisor:

Michelle Gray

Student:

Partner:

Canadian Parks and Wilderness Society

Discipline:

Earth science

Sector:

Arts, entertainment and recreation; Health and Related Sciences & Technology; Other services (except public administration)

University:

University of New Brunswick

Program:

Business Strategy Internship

Targeting bacteriophage delivery of reprogramming transcription factor gene(s) to astrocytes in CNS by Intelligent Phagemid-Assembled Gene Expression (iPhAGE) technology

This project aims to develop a method for delivering reprogramming transcription factor genes to astrocytes in the central nervous system using Intelligent Phagemid-Assembled Gene Expression (iPhAGE) technology. By constructing specific gene blocks and fusion helper plasmids, synthesizing iPhAGE DNA, and purifying iPhAGE preparations, the project seeks to enhance transfection efficiency and assess immune responses and protection. The participating institutions will benefit from the advancement of biotechnological techniques and potential therapeutic applications for neurological disorders.

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Faculty Supervisor:

Roderick Slavcev

Student:

Partner:

National University of Food Technologies

Discipline:

Life Sciences

Sector:

Biotechnology; Pharmaceuticals; Biomanufacturing

University:

University of Waterloo

Program:

Globalink Research Award

User Profile generation for Mobile Ad Targeting

Personalized ad targeting is one of the most important features to ensure a successful advertising campaign—e.g., F-150 ford pickup trucks are best shown to construction workers than teenage girls. Another important aspect of ad personalization is frequency capping the ads. For example, showing the same ad 100 times to 1 user will result in not having any budget left over for others, and this can make or break an advertising campaign. To generalize the targeting strategy across users that have not been observed in the past, either due to lack of data or due to new users, we aim to develop clustering methods based on similarity measure that receives user features as input and then assign the new user to a group of users.

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Faculty Supervisor:

Anthony Bonner

Student:

Partner:

Addictive Mobility

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Data Analytics for Improving Door-to-Needle Time in Acute Stroke at Grand River Hospital

It is shown that the rapid administration of treatment in acute stroke patients improves clinical outcomes. In particular, the time it takes to administer treatment once the patient has arrived at the Emergency Department with stroke symptoms is called Door to Needle Time (DTN). The median DTN time at the Grand River Hospital (GRH) currently exceeds the 30-minute target median set by the Canadian Stroke Best Practice Guidelines 2022. The goal of this project is to use data analytics tools to analyze past data to reduce DTN time so that most stroke patients presenting at its Emergency Department receive treatment within a median of 30 minutes.

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Faculty Supervisor:

Houra Mahmoudzadeh

Student:

Partner:

Lviv Polytechnic National University

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology

University:

University of Waterloo

Program:

Globalink Research Award

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.