Innovative Projects Realized

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

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Improving the use of evidence-informed health policy for individuals with brain-based disabilities – Year two

There has been an increasing focus in the health and disabilities research field on knowledge translation – that is, to ensure that emerging research can be effectively integrated into health and social service policies and into service delivery. Studies on the development of policy and services demonstrate that many factors apart from academic research evidence play significant roles in creating services and policies. In fact, evidence and/or best practices that some might argue is irrefutable, may never make its way into policy or practice. This project will create retrospective process maps of multiple pilot project initiatives of the Centre for Innovation in Autism and Intellectual Disabilities that aimed to change public sector health and social services and policy related to individuals with autism spectrum disorders and intellectual disabilities. TO BE CONT’D

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Faculty Supervisor:

Keiko Shikako-Thomas

Student:

Partner:

Centre d’innovation pour l’autisme et les déficiences intellectuelles

Discipline:

Life Sciences

Sector:

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

University:

McGill University

Program:

Elevate

Improving the use of evidence-informed health policy for individuals with brain-based disabilities

There has been an increasing focus in the health and disabilities research field on knowledge translation – that is, to ensure that emerging research can be effectively integrated into health and social service policies and into service delivery. Studies on the development of policy and services demonstrate that many factors apart from academic research evidence play significant roles in creating services and policies. In fact, evidence and/or best practices that some might argue is irrefutable, may never make its way into policy or practice. This project will create retrospective process maps of multiple pilot project initiatives of the Centre for Innovation in Autism and Intellectual Disabilities that aimed to change public sector health and social services and policy related to individuals with autism spectrum disorders and intellectual disabilities. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Keiko Shikako-Thomas

Student:

Partner:

Centre d’innovation pour l’autisme et les déficiences intellectuelles

Discipline:

Life Sciences

Sector:

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

University:

McGill University

Program:

Elevate

Legal Question Answering with Machine Comprehension

ROSS Intelligence enables legal professionals to find analyze legal issues and find hidden information and cuts down on research time by using artificial intelligence specialized in legal research. Recent advances in neural networks applied to
natural language processing have brought results that are close to human performance in some tasks. However, this approach is still nascent in legal research and it has been identified as potentially fruitful. By reviewing and adding to the
most recent developments in natural language processing and machine learning available in academic literature, this project aims to increase the reliability and capability of this artificial intelligence.

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Faculty Supervisor:

Frank Rudzicz

Student:

Partner:

ROSS Intelligence Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Email Mining, Modeling, and Visualization

For this project, a data mining, visualization, and modeling technique will be developed and tested specifically for emails, using publicly available datasets. The mining will consist of gathering email and other potentially related datasets and cleaning those datasets. Cleaning will consist of removing duplicate or unnecessary information, as well as labeling data with basic information in order to ease training in the later steps. Next that data will be visualized in some form (graphs, charts, etc.) so that it may be more easily understood and a training model can be development. Lastly the data will be analyzed in order to obtain some statistically model which will provide new insight on the information, such as its general topics, the flows of conversations, and sentiment analysis; each using novel and modern algorithms and processes.

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Faculty Supervisor:

Frank Rudzicz

Student:

Partner:

CaseWare International

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Data Analytics for Social Network Marketing

Influencer marketing is a new and innovative way for brands to target their customers on social media in a highly accurate and trusted way. Brand partners work with hundreds of influencers over a period of time, which is called a campaign, to create marketing material. This marketing material is shared by both the brand and influencer to the audience of the influencers, who are followers on social networking platforms such blogs, YouTube, Instagram, and Facebook. A key challenge in influencer marketing is to identify influencers with the greatest social networking reach. This project will develop machine learning and data analytics methods based on natural language processing to automatically and accurately match identify influencers for brands.

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Faculty Supervisor:

Alexander Rutherford

Student:

Partner:

MuseFind

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Développement d’un indice d’intégrité biotique pour le bassin versant de la rivière Saint-Charles

L’état de santé des rivières qui se déversent dans le lac Saint-Charles, est peu connu. Grâce à ce projet de recherche, l’Association pour la Protection du Lac Saint-Charles et des Marais-du-Nord (l’APEL), en lien avec l’Université Laval, développera un indice qui permettra de classer l’état de santé des rivièrescomme étant excellent, bon, assez bon, pauvre ou très pauvre. Pour ce faire, les espèces de poissons présentes ou absentes dans les rivières serviront d’indicateur pour coter les différents paramètres qui servent à calculer l’indice qui se nomme un indice d’intégrité biotique. Cet indice, calculé pour la première fois à l’été 2017, permettra à l’APEL de savoir si certaines rivières ne sont pas en santé. Ainsi, cette information pourra être transmise aux différents acteurs ayant un rôle à jouer dans la protection des cours d’eau. TO BE CONT’D

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Faculty Supervisor:

Louis Bernatchez

Student:

Partner:

Agiro

Discipline:

Earth science

Sector:

Life Sciences (not health); Water; Natural Resources

University:

Université Laval

Program:

Accelerate

Upgrading of heavy and high-contaminant Hydrofaction™ Renewable Crude Oil, to transport fuel blendstock

The Project’s objective is to continue the upgrading work executed in the previous MITACS Converge project with a larger focus on more challenging biocrude oils such as heavy fractions, high viscosity, high nitrogen, high ash oils that are produced from feedstocks such as “feed gate residues” in the form of manures, biosludges and organics from municipal waste. The performance objective remains to optimize and scale up the upgrading of Hydrofaction™ Oil to blendstocks for transport fuels. The main challenge in upgrading Hydrofaction™ renewable crude Oil from such sources is not only the oxygen content of the oil but also the high viscosity, sulfur, and inorganic contaminants. Hydrotreating is the pathway of choice for removing this oxygen and contaminants through hydrodeoxygenation (HDO), decarboxylation and hydrodenitrogenation (HDN) reactions. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

William McCaffrey

Student:

Partner:

Steeper Energy Canada Limited

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Plankton food web pathways to juvenile salmon

Plankton food-webs are the primary support system for juvenile salmon, necessary for their growth, health, and ultimately survival at sea. Understanding how and why plankton food-webs respond to changing ocean conditions is one of the major goals of the Pacific Salmon Foundation, with the view to understanding fluctuations and declining trends of salmon stocks in the Salish Sea. This project will determine the linkages between organisms in the plankton food-web of the Salish Sea, and how these linkages impact the amount and quality of plankton prey available to juvenile salmon, and contribute to tools for predicting the plankton food-web response to changing climate and ocean conditions.

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Faculty Supervisor:

Brian Hunt

Student:

Partner:

Pacific Salmon Foundation

Discipline:

Life Sciences

Sector:

Agriculture; Other services (except public administration); Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Detailed Analysis of the forces acting on a high-speed full-scale elevator

The industry partner of this project has an elevator modernization project that includes increasing the current speeds of their elevators by more than 30%. However, increase in speed is usually associated with increase in aerodynamic and lateral forces on the elevator cars, which can negatively affect ride quality and noise levels. The objective of this study is to examine the forces involved, and determine if the speed increases are within the Elevator Modernization Specification provided by industry experts. The study will employ powerful computer software to analyze the airflow inside two-car and three-car elevator shafts, focusing on the forced-air flow in the shafts caused by the cars, as well as aerodynamic effects caused by cars traveling in opposite directions passing each other.

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Faculty Supervisor:

Martin Agelin-Chaab

Student:

Partner:

Schindler Elevator Corporation

Discipline:

Engineering

Sector:

Construction and infrastructure

University:

University of Ontario Institute of Technology

Program:

Accelerate

A Pilot Clinical Study of Treating Pressure Ulcers in patients with Spinal Cord Injury

Pressure ulcers are among the top five leading causes of re-hospitalization in patients with spinal cord injuries (SCI). Unfortunately, current conventional prevention and treatment methods have neither decreased the prevalence of these ulcers nor significantly improved their outcomes. To address this difficulty, here, we will test the efficacy of our new liquid skin substitute to fill up the non-healing wounds where the skin solidified and promotes the healing process. Our plan in a pilot study is to treat 12 patients who pressure non-healing wounds did not heal in the previous 3 months. Liquid skin will be applied layer by layer every 24 hours until the wound bed is filled up and dressed according to the UBC wound clinic instructions. Wounds will be monitored daily and healing outcome will be compared with that of untreated wounds for the previous 3 months.

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Faculty Supervisor:

Aziz Ghahary

Student:

Partner:

Rick Hansen Institute

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Other services (except public administration); Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Machine Learning for the Telecommunication Industry

Ericsson is an industry leader in offering telecommunication solutions and products. As an important step on the path towards the automatic and autonomous management of next generation networks, Ericsson is developing technology in machine learning and artificial intelligence that will benefit operators around the world, including in Canada where Ericsson supplies technology to most of the major telecommunication network operators. In the proposed project, through the exploration of concrete telecommunication industry use cases, the postdoctoral researcher will collaborate with the Ericsson researchers in Canada and the academic supervisor to evolve the start-of-the-art in machine learning and artificial intelligence for the analysis of telecommunication data and operation of telecommunication networks. This will allow Ericsson to develop new products and services, which will allow Canadian network operators to offer improved communication services to Canadian customers. TO BE CONT’D

View Full Project Description
Faculty Supervisor:

Mark Coates

Student:

Partner:

Ericsson Canada Inc (Montreal, QC)

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

McGill University

Program:

Elevate

Understanding and improving techniques to teach financial literacy in children

Youths spend over $141 billion annually. Yet, these same youth often demonstrate extremely poor understanding of healthy financial habits such as emergency funds and budgeting. The proposed project seeks to tackle two main questions through the Dojo financial literacy learning application. First, what principles/techniques have been shown to positively impact financial literacy (e.g., interactive games, infographics, etc)? Second, is the Dojo platform an effective tool for teaching children about financial literacy? These questions will be answered through survey research of application beta testers as well as actual application engagement and usage data analysis. This research proposed here seeks to fill a gap in the literature showing that the best financial literacy information often comes from the most ineffective source; thus, how effective is a standardized educational platform that is both administered by, and simultaneously guides, parents?

View Full Project Description
Faculty Supervisor:

Lara B Aknin

Student:

Partner:

Dojo Technology Corp

Discipline:

Sociology

Sector:

Education

University:

Simon Fraser University

Program:

Accelerate

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