Relative Energy Deficiency in Sport (RED-S) in Canadian high performance athletes: Prevalence, health and performance implications – Year two

Relative Energy Deficiency in Sport (RED-S) was first characterized by the International Olympic Committee in 2014 and characterizes a range of negative health (endocrine function, bone health) and performance outcomes that result from chronically low energy availability. Despite recognition of its significance for health and performance, and a prevalence rate of 3-60% in athletes, our […]

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Victoria Green Economy

The proposed research is a collaboration between Vancity, the City of Victoria, and the University of Victoria to bring together the necessary information (financial, regulatory, and knowledge, respectively) to build a plan that will initiate Victoria’s Green Economy. Interns will be part of distinct interviewing panels that will research the needs, benefits, and obstacles of […]

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Towards a lab-on-a-chip-based rapid-screening system for pathogens

In light of the recent outbreak of Covid-19, it is urgent to find a solution for quick and efficient pathogen detection and elimination. Rapid point-of-need diagnostic tests and monitoring devices are urgently required in order to provide testing and care to those infected. Currently, testing is performed at centralized facilities using specialized equipment for molecular-based […]

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Project 4C: Cumulus Cloud Cluster Computing

Forests are one of Canada’s greatest commodities in terms of natural resources—almost two-thirds of British Columbia alone is populated by forests, measuring 60 million hectares. Worldwide, forests continue to impact global infrastructure, economy and environment. Understanding how to monitor and track usage and health of our forests is essential for the management and longevity of […]

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Multi-SNP prediction model for lung function decline

Chronic obstructive pulmonary disease (COPD) is a 3rd leading cause of death (1) which decreases lung function due to irreversible airway obstruction. The main indicator of the progression of COPD is a rate of the forced expiratory volume of 1 second (FEV1) decline. The intern will build the prediction model for the slope of FEV1 […]

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Best Practices and Models for Open, Collaborative Scholarship in the Arts & Humanities

Open, digital scholarship in the Arts and Humanities is significant as a mechanism of Canada’s growing digital scholarly infrastructure for facilitating public access and engagement with research. But the path to adopting open, digital scholarship on a national scale has been challenging. Academic organizations like the not-for-profit Iter Canada are committed to facilitating the engagement […]

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Radar-based Real-Time Detection of Overdose Incidents in Small Public Spaces

This project aims to train machine learning models that use millimetre-wave radar data to non-invasively detect health incidents, such as overdoses in public bathroom stalls. The partner, Brave Technology Coop, has developed a small, wall-mounted, radar sensing unit on which we want to directly deploy real-time gesture detection software, an instance of cutting-edge “Edge AI.” […]

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Automobile Purchasing Behaviorial Data Collection, Management, and Analysis

This project investigates automobile purchasing behavior of female millennials. In order to achieve the goal of understanding and making use of purchasing behavior, data are to be collected, managed, and analyzed. In addition to using existing data and third-party data, two major tasks of data collection are the use of questionnaire and web crawling to […]

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Mobile Health Application Validity and Efficacy Study

The first MITACS internship for this project focused on design of the “Be Kalm” Anxiety App. The second internship will focus on the programming, implementation, and evaluation of the resulting design. The App will combine several interactive methods of diffusing anxiety with the use of images, music and heart rate monitoring. The HeartBeats music player […]

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Research into Convolutional Neural Network (CNN) Explainability

Machine Learning is advancing at an astounding rate. It is powered by complex models such as deep neural networks (DNNs). These models have a wide range of real-world applications, in fields like Computer Vision, Natural Language Processing, Information Retrieval and others. But Machine Learning is not without some serious limitations and drawbacks. The most serious […]

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The role of historical Indigenous burning patterns in reducing risk to mountain communities

For thousands of years before European arrival, the Indigenous people of the Rocky Mountains regularly used low-intensity surface fires to keep forests clear of debris and fuel to mitigate the risk of high-intensity wildfire. The proposed project will investigate the historical extent of landscape management by Indigenous burning methods and explore the incorporation of Indigenous […]

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