Innovative Projects Realized

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

29670 Completed Projects

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

Projects by Category

Analysis of Corporate Digital Influence to Develop Digital Content Marketing and Strategy For A Consumer Product Based Company

The interns will use social media data-mining and network visualization tools along with qualitative assessments of digital content to develop a social media and digital content production strategy for a consumer products based company. Case studies will be performed
on successful and competitor brands in order to better inform the digital media production and strategy for the partner company moving forward. The goal will be to provide the industry partner with a social media strategy, including social media account set up and posting
strategy, blog posting strategy, video productions and a rebranded website which allows for the tracking of digital marketing efforts.

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Faculty Supervisor:

Anatoliy Gruzd

Student:

Partner:

California Innovations Inc

Discipline:

Business

Sector:

Wholesale trade

University:

Toronto Metropolitan University

Program:

Accelerate

Asset Management Research & User Experience Prototyping

Asset management systems are becoming essential tools that help municipalities in infrastructure planning and management decisions. Additionally, building effective user experience solutions is an important factor in the success of any solution. The project objectives will be to investigate methods for building personalized user experiences and interfaces for the core of the company’s platform for different end user’s roles. The project’s main approach is to research methodologies for user experience prototyping taking into consideration the different user’s roles. The goal is to deliver an improved version of the company’s platform with new user experience prototypes. This research experience will enrich my knowledge in the field of user experience. I will research, apply different methods in a real world scenario and have the chance to get real user’s feedback. Finally, an improved version of the company’s platform will be produced in a conducive way to the company’s end user’s needs.

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Faculty Supervisor:

Eyal de Lara

Student:

Partner:

Riva Modeling Systems

Discipline:

Computer science

Sector:

Finance and Insurance; Information and cultural industries

University:

University of Toronto

Program:

Accelerate

Dimensionality, performance, and stress testing of multifactor equity models

A global multi-factor equity model had been previously developed. It employs a group of sector indices for different regions using Dow Jones, MSCI, and indices of local stock exchanges. PCA is used to produce independent factor variables, and then specific equities are regressed against the PCA factors. By transforming factors back into real world variables (indices) stress tests against movements in the original indices show their impact in a global equity portfolio. One question to be addressed is how many PCA dimensions should be selected for each equity. A systematic study of the performance of the methodology is needed, and potential changes to the methodology explored. The methodology will be extended to ETFs and mutual funds to better measure and manage investors’ risks. A systematic study will be undertaken to analyze and measure the performance, stability, and risk management utility of the approach.

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Faculty Supervisor:

David Lozinski

Student:

Partner:

RiskGrid Technologies Inc

Discipline:

Mathematics

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

McMaster University

Program:

Accelerate

Assessing comprehensive life history and phenotypic impacts of radiation on a short-lived model of aging and free radical biology: linear versus hormetic dose responses

The goal of our proposal is to clarify the impacts of low doses of radiation on key biological aspects in a short-lived animal model (the cricket). Current assessments of radiation exposure mainly emphasize cancer. Our model will allow us to more broadly assess important features like growth, maturation, survivorship, reproduction and life span as well as specific measures related to sensory, cognitive and motor functions, stress resistance and immunity. Radiation causes damage by creating reactive molecules that can attack cells and their DNA. At low doses, however, such molecules are essential biological signals. In particular we will test a theory called “hormesis” that suggests that low-dose radiation may actually improve rather than harm biological functions. Such information will help our industry partner to better address the concerns of the public and regulatory agencies regarding radiation safety. In addition, we will examine whether antioxidant supplements can offset negative impacts of high-dose radiation and provide additional health benefits at low doses of radiation exposure.

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Faculty Supervisor:

Christopher David Rollo

Student:

Partner:

Bruce Power

Discipline:

Life Sciences

Sector:

Utilities

University:

McMaster University

Program:

Accelerate

Economic Outcomes and Retention Rate of BC Provincial Nominees: Comparisons with Immigrants from Other Classes

This project will analyze and research explanations for differences in economic outcomes and retention rate between immigration classes, with a special focus on the British Columbia Provincial Nominee Programs. The study will emphasize on comparisons between Provincial Nominees and other economic immigrants, and between immigrants in British Columbia and other provinces. The data that will be used is the Longitudinal Immigration Database, which links immigrant landing records to tax information. In addition to descriptive analysis, this paper will use regression methods to explore explanations for differences in economic outcomes and assimilation rates. Knowing the factors that contribute to the economic advantage or disadvantage of different classes of immigrants could help the Ministry of Regional Economic and Skills Development design better policies and programs. Such policies or programs would be more efficient in selecting nominees and in helping immigrants’ settlement and advancement within British Columbia.

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Faculty Supervisor:

Daniel Hiebert

Student:

Partner:

Discipline:

Sociology

Sector:

University:

The University of British Columbia

Program:

Accelerate

Generation of production data for highly variable manufacturing

Mass customization relates to the ability to provide customized products or services through flexible processes in high volumes and at reasonably low costs. Massuni is well into the development of a system that vertically integrates a user-facing interface that enables unskilled users to design and customize individual pieces of furniture, with the ability to efficiently produce items by applying the principles of “mass customization” and “Digital manufacturing”. The ultimate goal is a system that specifies every conceivable piece of furniture and has the ability to build this range of products in geographically distributed production cells. In order to reach this goal, a core capability is the translation of the user’s specifications into data for manufacturing. This data takes various forms, including Bills of Materials for supplier procurements, Cut lists for traditional processing steps, CNC code for CNC production operations, and work schedules to optimize labor usage.

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Faculty Supervisor:

Christopher Beck

Student:

Partner:

Verso Furniture Inc

Discipline:

Computer science

Sector:

Manufacturing

University:

University of Toronto

Program:

Accelerate

Research of Real-Time Collaboration and Data Visualization on Online Platforms

Municipalities from all over the world use asset management software as a decision-support tool for infrastructure planning and management. Executive-level users and financial planners need to understand, adjust and collaborate over the data stored in these systems. The objective of the project will be threefold: first, I will investigate new methods for a rich real-time collaboration experience on online platforms. Second, I will find new ways to visualize aggregated output data. Third, both goals will meet and I will research about ways in which users can interact and manipulate data visualizations in real time. The results for the company will be a more collaborative, with richer data visualizations, version of their core platform.

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Faculty Supervisor:

Ravin Balakrishnan

Student:

Partner:

Riva Modeling Systems

Discipline:

Computer science

Sector:

Finance and Insurance; Information and cultural industries

University:

University of Toronto

Program:

Accelerate

Patient-Centricity: Design, Marketing and Organizational Requisites

With the growth and prevalence of digital and social media, patients have started to gain more control of their health management. This has led to their having a greater say in the design, production, delivery, and marketing of drugs. Sooner than later, more and more companies will be listening to patients while trying to find innovative ways to incorporate these concerns in their manufacturing and delivery of products in a competitive market. By tapping into the collective wisdom of patients, practitioners and organizations, this research will examine the role of this new generation of empowered patients in the design, marketability and competitiveness of pharmaceutical products. The intern and the partner organization will study patient needs and the practices of healthcare organizations to arrive at a better understanding of the phenomenon. Researchers will also find barriers and suggest ways to help pharmaceutical companies address patient concerns in their strategies more readily.

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Faculty Supervisor:

Ron Babin

Student:

Partner:

Idea Couture Inc

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

Toronto Metropolitan University

Program:

Accelerate

Réduction de l’utilisation des substances extrêmement préoccupante (SVHC) dans les ateliers de costumes du Cirque du Soleil.

Dans le cadre de sa démarche de développement durable au Cirque du Soleil, un diagnostic des pratiques actuelles des ateliers de costumes et des opportunités d’amélioration ont réalisé en 2014. Un des projets identifiés est de réduire l’utilisation des substances extrêmement préoccupantes (SVHC) basé sur le programme européen REACH et les produits qui se retrouvent sur le registre
environnemental du Canada afin d’élaborer un plan d’action pour réduire ou éliminer l’utilisation de ces produits

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Faculty Supervisor:

Robert Hausler

Student:

Partner:

Cirque du Soleil

Discipline:

Engineering

Sector:

Arts, entertainment and recreation

University:

École de technologie supérieure

Program:

Accelerate

Autonomous Modeling of High-Resolution X-ray Spectra Using Robust Global Optimization Methods

High-energy astrophysics is a young, fast-growing field that has opened a new window to the “invisible” universe. X-ray spectroscopy is a particularly powerful tool to discover the nature of highenergy sources, since their physical properties are inferred by comparing physical models to observations. Therefore, methods for fitting models to data are of crucial importance. The standard approach is via local optimization. However, these methods suffer from a number of limitations. At the U. of Manitoba, we are developing software based on evolutionary algorithms targeted to perform global optimization for X-ray spectroscopy. These advanced methods will be particularly instrumental for multi-parameter models and high-fidelity X-ray data. The project is also timely with the upcoming
(early 2016) launch of the X-ray mission, ASTRO-H, led by Japan partnering with NASA, ESA and the Canadian Space Agency, and with the U. of Manitoba as an active member. This project will place the Manitoba in a leadership role by providing an innovative software package for the X-ray astronomy community, and is directly relevant to nQube Technical Computing, dramatically illustrating the
capabilities of their optimization methods on challenging and high-profile model fitting problems.

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Faculty Supervisor:

Samar Safi-Harb

Student:

Partner:

nQube Technical Computing Corporation

Discipline:

Physics

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program:

Accelerate

Effect of surface pretreatment and zinc coating on the corrosion behaviour of Mg alloys for biodegradable applications.

Magnesium alloys are good candidates for the development of biodegradable implants for cardiovascular and orthopedic applications. A biodegradable implant would perform its desired function and then disappear, avoiding long-term complications and the need of a second surgery to withdraw the implant. Magnesium is biocompatible and its alloys have good mechanical properties, which are required properties for implant applications. However, they corrode (dissolve) too fast in the body, leading to loss of mechanical properties and premature implant failure. An interesting approach to decrease the corrosion rate of Mg alloys is the use of protective coatings. This project is aimed at the development of biocompatible zinc coatings in order to better control the implant dissolution rate. A zinc coating would dissolve at a lower rate extending the implant lifetime. The proposed research will allow us to understand the dissolution process of zinc-coated Mg alloys and to produce coatings with better protective properties.

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Faculty Supervisor:

Sasha Omanovic

Student:

Partner:

Universidade de São Paulo

Discipline:

Engineering

Sector:

University:

McGill University

Program:

Globalink Research Award

Minimizing the Spread of Information in a Social Network by Blocking Links

Social network is becoming an increasingly popular media for information sharing. However, undesirable contents such as malicious rumors can spread through social networks among individuals. The technique to prevent undesirable content can also be applied in parenting control. As the more and more teenagers are using social network today, it is important to minimize the spread of undesirable contents into their ends. Thus, developing effective strategies for preventing the spread of undesirable spreading in a social network is an important research issue. This research is trying to design a new model to control the spread of contamination that is not proposed by previous works. The expected outcome of this research is to come up with a research paper that presents new models and algorithms for minimizing undesirable content’s propagation in a social network.

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Faculty Supervisor:

Anne Condon

Student:

Partner:

Zhejiang University

Discipline:

Computer science

Sector:

Education

University:

The University of British Columbia

Program:

Globalink Research Award

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