Innovative Projects Realized

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

30156 Completed Projects

2861
AB
5059
BC
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projects by Category

Model development for membership analytics

This project will lay a foundation for Interior Savings Credit Union to better serve their membership by providing them with the means to discover significant membership groups within their large and complex database. This will be done through a combination of developing novel statistical techniques to discover the groups and writing the computer code needed to enact those techniques. We expect the project to benefit Interior Savings and its members by enhancing the credit union’s ability to target growth opportunities. We also expect benefits the broader Canadian scientific community by eventually releasing the statistical techniques through open source software and manuscripts.

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Faculty Supervisor:

Jeffrey L Andrews

Student:

Partner:

Interior Savings Credit Union

Discipline:

Mathematics

Sector:

Finance and Insurance

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Interacting effects of contaminants and climate change on the health of the western Arctic beluga whales

The Arctic environment is changing rapidly, and this change may influence the health of organisms that live there, such as belugas. In periods of low sea ice extent, belugas in the Beaufort Sea showed altered expression genes involved in various aspects of health. Further, polychlorinated biphenyls, contaminants of concern, were also associated with altered gene expression. These results indicate that climate change and contaminants are playing a role in the health of beluga whales. However, these data were collected over a small time-frame and therefore observations must be extended in order to draw conclusions. Further, the combined impacts of climate change and contaminants have not been explored. We will utilize both novel and existing techniques to determine the impacts of these two stressors on beluga health in order to shed some light on the long-term trend of western Arctic beluga health in a changing Arctic environment and contribute to Ocean Wise’s conservation and research efforts.

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Faculty Supervisor:

Jeffrey Richards

Student:

Partner:

Ocean Wise

Discipline:

Life Sciences

Sector:

Arts, entertainment and recreation; Education; Other services (except public administration); Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Analysis and Integration of Real-Time Mobility Data for the Cascadia Corridor

In order to design and operate more efficient urban transport infrastructure networks along the Cascadia Corridor, improved spatial and temporal data is required to understand travel activity patterns. The integration and comparative analysis of new data sources including: electronic transit ticketing (Vancouver Compass Card, Seattle Orca Card), geospatially tagged social media, smartphone travel diaries, and road based sensor networks can now be used to improve data collection, resolution and reliability.
This research will integrate various citizen generated (social media, smartphones) and infrastructure sensor-based (real-time vehicle counts, automated traffic signals) mobility data sources to construct high resolution spatial and temporal travel demand profiles to improve calibration and estimation of agent-based simulation models. TO BE CONT’D

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Faculty Supervisor:

Martino Tran

Student:

Partner:

Microsoft Canada;Microsoft Canada Development Centre

Discipline:

Sociology

Sector:

Transportation (excluding aerospace); Information and Communications Technology; Sustainability & the Environment

University:

The University of British Columbia

Program:

Accelerate

Eastside Works: Information System Support and Evaluation

EMBERS Eastside Works (EW) is a new low barrier employment centre in the Downtown Eastside of Vancouver. EW helps people in the Downtown Eastside make connections to the world of work, earn income, and improve their livelihoods. The proposed research will work with EW to develop a database and information system that fits their needs, while informing a larger UBC research study on individual’s economic activity and how it affects their health and well-being in the downtown eastside.

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Faculty Supervisor:

Lindsey Richardson

Student:

Partner:

EMBERS Eastside Works

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

The University of British Columbia

Program:

Accelerate

Context-Aware Advertising Language Modeling with Deep Learning for Internet Ads

Digital advertising is a rapidly growing industry, commonly seen on Facebook and Google. However, most people who start promoting their business with Internet Ads are not professional and experienced marketers. They need help to design and launch ads campaign, especially on writing ads copies. Meanwhile, people have started to embrace AI technologies in the industry more than ever before. In this project, I propose to bring the state-of-the-art AI technology into the partner company’s products. I will train deep learning neural networks with Tensorflow to learn and write ads copies. Moreover, I will try to implement the latest research, Generative Adversarial Network, to improve the learning capability of the neural networks. This project will enable the partner organization to launch the new product in this industry and take the advantage in the growing competition.

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Faculty Supervisor:

Yvonne Coady

Student:

Partner:

Digitoria Media Limited

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Making scholarship more practice and policy relevant: Analysis of the Canadian Journal of Development Studies’ peer review process and its implications

This project examines the peer review process of a leading Canadian academic journal focused on international development, with the goal to better understand how research knowledge is made accessible and relevant – or not – for policy makers and practitioners. The intern will analyze systematically the texts of submitted articles, comments provided by the scholars asked to evaluate these articles, journal editorial guidelines and the revisions the authors undertake, for evidence of efforts to make research accessible and relevant. He/she will also interview a subset of authors and reviewers for their views on this process. The quantitative and qualitative data collected will suggest new ways this journal and others might encourage high standards of scholarship as well as relevance for policy and practice.

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Faculty Supervisor:

Elizabeth C Cooper

Student:

Partner:

Canadian Association for the Study of International Development

Discipline:

Sociology

Sector:

Education

University:

Simon Fraser University

Program:

Accelerate

Best Practices for Online Public Consultation in Community Planning: A White Paper

The objective of this proposed project is to update public consultation best practices with a particular emphasis on online engagement in community and regional planning issues. Within the City of Vancouver Development Services Department there are several different areas that involve public consultation in respect of land use planning and decision-making. These include Rezoning and Development Permit applications as well as the formulation of Official Community Plans. The white paper resulting from the research undertaken will inform the Public Consultation component of these Submission Requirements and Checklists for the Real Estate Development Industry as well as the City’s own Planning processes.

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Faculty Supervisor:

Penelope Gurstein

Student:

Partner:

Nexon Publishing North America;University of British Columbia;City of Vancouver

Discipline:

Sociology

Sector:

Public administration

University:

The University of British Columbia

Program:

Accelerate

Evaluating the health of primary human airway epithelial cell cultures grown at air-liquid interface

There are many ways for scientists to study lung diseases. One way that scientists try to understand lung disease is by growing and examining lung cells in the lab. While most cells are grown submerged in special liquid that provides the cells with nutrients, a more sophisticated model is to grow cells in an air liquid interface with the top surface of cells exposed to air and the bottom to the liquid with nutrition. This more closely mimics the real life situation. When cells are studied in air liquid interface it is very important to make sure they are not damaged by the experiment unintentionally. The purpose of this current proposal is to build a kit that can be easily used by researchers to study if cells grown at air liquid interface have been damaged.

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Faculty Supervisor:

Theo J Moraes

Student:

Partner:

STEMCELL Technologies Canada Inc

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Manufacturing; Mining; Professional, scientific and technical services

University:

The Hospital for Sick Children

Program:

Accelerate

Energy Efficient 360 Video Processing for Portable VR-Technologies

This project focuses on the energy consumption of modern virtual reality applications. The target devices are virtual-reality-glasses that can be worn on the head and that simulate a virtual 3D environment to users. Most modern devices are still rather heavy, uncomfortable to wear, and attached to a powerline such that the user experience can still be enhanced. In this project, the goal is to make the glasses require less power and energy during operation such that the operating time and battery requirements can be minimized. For the partner organization, being able to provide such a solution to users would be a unique selling point for their products as the glasses can be made lighter, more comfortable, and do not need a power cable.

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Faculty Supervisor:

Stéphane Coulombe;André Kaup

Student:

Partner:

Summit Tech

Discipline:

Engineering

Sector:

Information and Communications Technology; Entertainment and Media; Energy and Utilities

University:

École de technologie supérieure

Program:

Accelerate

Crystallization and mechanism of action studies of antibody NB0940 binding to Poliovirus receptor

Significant advances in technologies related to antibody discovery and development have allowed therapeutic antibodies to become the fastest growing class of biopharmaceuticals over the last 20 years. Northern Biologics is a biotechnology company that seeks to develop therapeutic antibodies for the treatment of cancer and fibrosis. Together with Dr. Jean-Philippe Julien at SickKids (University of Toronto), the intern will work with Northern Biologics to develop and characterize antibodies against cellular receptors that show aberrant signaling in several diseases including cancer. Integrative structural biology and biophysical technologies will be used to inform lead selection with the goal of progressing therapeutic candidates for clinical trials.

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Faculty Supervisor:

Jean-Philippe Julien

Student:

Partner:

Northern Biologics Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Tagging and Auto-Captioning of Histopathology Scans for Diagnosis Assistance

Digital pathology uses modern scanners to capture high-resolution images from biopsy samples. Computer algorithms, especially artificial intelligence, can help in automatic searching for similar cases in the archive of hospitals and laboratories. Displaying similar images form the past patients, that have already been diagnosed and treated, can provide useful information to the pathologist to solidify the final diagnosis. These images, however, are very large such that their processing requires smart algorithm to distinguish between relevant and irrelevant information. In this project, we develop novel methods for identification and auto-captioning of the pathology scans to assist clinicians in their daily work. Tagging technologies using AI will be developed to index and smartly archive the images. This enables fast and accurate search for similar cases. Besides, the identification of already diagnosed cases (which are accompanied by pathology report) enables the algorithm to generate a caption for the new scans. This should help shorten the processing times by drawing attention to the critical cases.

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Faculty Supervisor:

Hamid R Tizhoosh

Student:

Partner:

Huron Digital Pathology

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology

University:

University of Waterloo

Program:

Accelerate

Deep Generative Modeling of Character Animation

The goal of this research project is to develop novel techniques to solve different tasks for character animation using deep neural networks and generative modeling. Namely, we wish propose a novel approach for transitions generation, in which clips of character animation can be linked together with a novel clip. This transition will be generated by a specifically designed recurrent neural network that should make use of recent advances in adversarial learning in order to produce realistic animations. We also want to tackle the problem of key-frame interpolation, where we want to improve the current techniques of motion smoothing and interpolations by learning a dense pose manifold that takes into account complete character configurations in order to only produce valid poses while interpolating.

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Faculty Supervisor:

Christopher Pal

Student:

Partner:

Ubisoft Toronto

Discipline:

Computer science

Sector:

Entertainment and Media; Technology; Other

University:

École Polytechnique de Montréal

Program:

Accelerate