Innovative Projects Realized

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

31620 Completed Projects

2978
AB
5221
BC
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projects by Category

High-T2hroughput Rapid Detection of Infectious Diseases such as COVID-19

The project is a high-throughput method to detect and identify infectious disease such as COVID-19 based on advanced optical technologies developed by Manitoba based Adva Diagnostics Inc. The Adva technologies use the interaction of light with a patient sample to produce a spectral “fingerprint” in minutes without the use of reagents. The spectral “fingerprint” is compared with a library of virus spectral “fingerprints” to test for a match. Five University of Manitoba Mitacs interns together with collaborators Prof. Peter Pelka (Microbiology) and Prof. Cyrus Shafai (Electrical Engineering) are helping with “fingerprinting” virus samples and fabrication of certain optical components for the system.

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Faculty Supervisor:

Peter Pelka;Cyrus Shafai

Student:

Partner:

Adva Diagnostics Inc

Discipline:

Life Sciences

Sector:

Manufacturing

University:

University of Manitoba

Program:

Accelerate

Innovative Business Strategies: Business development and export opportunities and challenges associated with small Canadian companies considering cross-border business, and maximizing gains from remote work, particularly during and after the COVID-19 Pandemic

The proposed research will explore two types of business strategies – cross-border business and remote work uptake – that can help small Canadian companies adapt to and recover from the shutdown policies put in place during the COVID-19 pandemic. Specifically, the intern will begin by conducting two literature reviews – one to explore the costs and benefits of pursuing cross-border business, and another on best practices for maintaining productivity through remote work. The intern will then develop and calibrate two tools for a small Canadian company: (1) A decision-making framework for deciding whether to engage in cross-border business activities or pursue a cross-border merger, and (2) A corporate remote work policy based on best practices observed in the literature and company-specific considerations.

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Faculty Supervisor:

Rajni Dogra

Student:

Partner:

Limestone Analytics Inc

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

St. Lawrence College

Program:

Accelerate

Development of DNA-based SARS-CoV-2 vaccine platforms

This proposal seeks to identify the most promising lead candidate for a COVID-19 vaccine that could be rapidly and inexpensively scaled-up to meet Canada’s COVID-19 vaccine needs. In collaboration with a Canadian biotech company, Entos Pharmaceuticals, we will determine the safety and efficacy of several vaccine candidates to identify the most promising candidate to move forward to clinical trials. If successful, we will have directly contributed to a “designed, developed and made in Canada” COVID-19 vaccine, a key requirement to ensure Nova Scotians and all Canadians will have ready access to a COVID-9 vaccine. Our research strategy also holds the promise of developing a pan-coronavirus vaccine to deal with future outbreaks of other novel coronaviruses.

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Faculty Supervisor:

Roy Duncan;Craig McCormick;Alyson Kelvin

Student:

Partner:

Entos Pharmaceuticals

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

COVID-19 Grocery Response NDG

Grocery Response NDG is a grocery ordering and delivery program for seniors 70+ who are confined to their homes during the pandemic. The project is a joint initiative of Concordia University (Ageing + Communication + Technologies – ACT) and New Hope Seniors Centre. The Québec response to the COVID-19 pandemic requires seniors 70 and over to self-isolate Seniors with limited or no social networks and no access to the Internet are especially at risk. The intern for this project is working to set up a telephone line that is accessible to seniors, work with a team of volunteers who take their grocery orders and relay it to a partnered Provigo grocery store. The store then delivers the groceries to isolated seniors.This project offers a friendly check-in and remote shopping experience for the senior at the same time as it provides support to existing grocery stores and their employees. The project has three main goals: To help reduce the infection rate among older adults and supporting seniors in their self-isolation measures; To enable seniors to access food safely during the pandemic; To build and share approaches and tools that can be used to support similar actions in various locations.

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Faculty Supervisor:

Kim Sawchuk

Student:

Partner:

New Hope Senior Citizens’ Centre

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

Concordia University

Program:

Accelerate

Real-time Optimization of Freshwater usage in Aquatic Facilities based on Occupancy and Water Quality data Using Machine Learning Methods.

In this research, occupancy monitoring data, temperature and humidity, and water quality parameters data collected through image processing and Internet of Things (IoT) sensors from multiple swimming pools are going to be processed and analyzed to identify the meaningful relations between these parameters and freshwater usage. The aim is to identify correlations between parameters and formulate the addition of freshwater as a function of number of swimmers, time spent, and activities. In addition, these formulas will be used to optimize freshwater usage while maintaining water quality and health parameters within the standard range defined by health regulations.

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Faculty Supervisor:

Fae Azhari

Student:

Partner:

EAIGLE Inc.

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Tracking community movements through real-time visualization and predictive analytics to manage the spread of COVID-19

As the COVID-19 pandemic complete eradication will at least take 2-3 years, putting the country under complete lockdown is an impractical solution. Hence, Computing and Data Analytics research group at Saint Mary’s University (SMU-CDA) proposes a collaboration with Agyle Intelligence to develop a complete framework using Data Analytics and Machine Learning that can help citizen, civic authorities and local business to make a decision regarding its community movement. It will be an effective tool to practice implementable social distance norms helping citizens to identify hot spot places and times which will help stop the spread of the virus. It’s a transparent crowdsourced data collection project currently in touch with health and civic authorities in Prince Edward Island (PEI) and Nova Scotia (NS) for data collection.

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Faculty Supervisor:

Pawan Lingras

Student:

Partner:

Agyle Intelligence Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Saint Mary's University

Program:

Accelerate

Use of the Halifax Consciousness Scanner in the diagnosis andmanagement of mild traumatic brain injury / concussion

This project will evaluate whether an innovative approach to looking at consciousness allows
for the diagnosis and management of concussion. The device, cali-ed the Halifax
Consciousness Scanner (HCS), reads the brain waves of a person while listening to a special
sound recording, and uses this information to determine a score for their level of
consciousness. Athletes from both amateur and professional sports teams will be tested
before the season, after the season, and also during the season if they suffer a concussion.
Concussed athletes will be tested periodically to see how fast their HiS score recovers. The
sponsor, Mindful Scientific, will use this information to inform new products in the area of
concussion management.

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Faculty Supervisor:

Ryan D'Arcy

Student:

Partner:

Mindful Scientific Inc

Discipline:

Life Sciences

Sector:

University:

Dalhousie University

Program:

Accelerate

Using Food Bank Client Data to Better Understand the Impacts of COVID-19 in Saskatoon

The SFBLC has been collecting detailed information on their clients and their socio-demographic and economics characteristics for more than five years. However, apart from collating overall summary numbers on things like user counts, which they report annually to Food Banks Canada, they largely lack the internal capacity to do a detailed analysis of this data and explore ways that it can inform their operations and planning. They have even fewer resources that they can allocate for exploring ways that the organization’s data can be used to inform questions of wider concern to the community or to social research in Canada generally. This lack of capacity has become particularly acute in the context of the COVID-19 crisis. The primary value of the internship will be to begin to fill these gaps. It will also lay a foundation for future collaborative work between the SFBLC and the academic research community. Additionally, the knowledge produced from this work, can be used to inform wider-policy in Canada. This project will also provide an adaptable framework and methodology for which organizations and researchers across the country may use for in their own social support efforts.

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Faculty Supervisor:

Rachel Engler-Stringer;Charles Plante

Student:

Partner:

Saskatoon Food Bank and Learning Centre

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

University of Saskatchewan

Program:

Accelerate

Model for assessment of risks of going missing in persons living with dementia during and post COVID-19 pandemic

According to the Institute for Health Metrics and Evaluation, the number of global deaths and disabilities related to mental health conditions, such as Alzheimer’s disease and related dementias, has risen in recent years. This applies to Canada in the same way, causing premature deaths and disabilities. The general objective of this project is to define, validate and apply a quantitative model that can capture data and generate numerical indicators of risks of going missing, injury and death for people living with dementia, based on the multiple factors identified in the conceptual model proposed by Neubauer and Liu (2020). In this project we will use a transdisciplinary approach of applied research, we will apply exploratory research with an observational design, that includes a critical literature review and a correlational and predictive study with Factor Analysis and Multilevel and Multivariate Linear Regression models. This will help us to understand and determinate the relation between factors and outcomes, and ultimately that will help to assess the risk of a person for going missing.

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Faculty Supervisor:

Lili Liu;Antonio Miguel Cruz

Student:

Partner:

Clinisys EMR Inc.

Discipline:

Life Sciences

Sector:

COVID-19 related Research and Solutions; Health and Related Sciences & Technology; Information and Communications Technology; Technology

University:

University of Waterloo

Program:

Accelerate

Informing Socially Conscious GSNAs : A Collaboration with Bumble

Geo-social networking applications (GSNAs) are quickly and radically impacting our cultural landscape in terms of gender identities, sexual practices, use of public space, commerce, and quality of life. GSNAs, like Bumble, use cell phones and satellites to create computer-mediated communication whereby users exchange a series of electronic messages and participate in different relational activities via cyberspace, often leading to in-person meet-ups for dates, sexual hookups, etc. Despite their immense popularity, scant research has explored the impact of GSNAs on individual and cultural influence. This project uses a cyberqueer theoretical framework and employs appnographic methodology to conduct qualitative interviews and focus groups in order to assess how GSNAs impact gender and sexual identities, ideologies, and sexual social practices.

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Faculty Supervisor:

Corey W. Johnson;Diana C. Parry

Student:

Partner:

Bumble Canada Enterprises Ltd

Discipline:

Sociology

Sector:

Information and cultural industries

University:

University of Waterloo

Program:

Accelerate

Active deep learning for coding medical notes with applications to infectious diseases

We are building a machine learning system to help clinical experts accurately label medical notes with diagnosis codes. This will make it faster and cheaper to train machine learning models to identify important codes, including those related to infectious diseases and COVID, in large amounts of medical notes.

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Faculty Supervisor:

Evangelos Milios;Fernando Paulovich

Student:

Partner:

Semantic Health Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Supporting the mental health of Canadians in times of pandemic: Exploring the impacts of the COVID-19 crisis on wellbeing and validating context-appropriate e-mental health interventions

The COVID-19 pandemic has caused disruptions in multiple spheres of life and increased psychological distress, depression, and anxiety in many Canadians. With practices of social distancing implemented by the governments combined with an increased demand for psychological support, mental health agencies are forced to be creative and develop e-mental health interventions and tools. The current project has two primary aims: 1) to better understand the longitudinal impacts of the COVID-19 on Canadians’ mental health to identify what helps (or hinders) coping with the current situation; and to 2) guide the development of e-mental health tools adapted to the needs of the population. Seven interns from three universities will contribute to the research activities in partnership with Revivre, an organization offering support to people struggling with anxiety, depression, and bipolarity symptoms. This partnership will provide Revivre with evidence about the needs of Canadians and ways to support them through validated online interventions.

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Faculty Supervisor:

Simon Coulombe;Sylvain Luc;Janie Houle;Charles Fleury;Simon Coulombe

Student:

Partner:

Revivre

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

Université du Québec à Montréal; Université Laval; Wilfrid Laurier University

Program:

Accelerate

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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.