Assessing organizational culture and readiness for AgeTech evaluation and adoption

The focus of this two-year research project will be developing an understanding of the organizational culture and other pre-conditions required to facilitate AgeTech adoption and evaluation in the context of a regional health system. The PDF will work closely will technology companies and the health system partners who are piloting innovative technologies to understand the […]

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A Group Recommender System for deviantART

deviantART is the world’s largest online arts community with a huge number of users and items. They currently recommend art to users only via an algorithmic presentation of “popular” items, and an item-item recommender system presented alongside every individual piece of art. deviantART expects to use recommender systems technology to enhance and leverage the contributions […]

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Evaluating the effectiveness of constructed wetlands in Western Canada for municipal wastewater treatment

In Canada, water security challenges include environmental degradation, water pollution, and climate change impacts. Utilizing constructed wetlands (CWs) for wastewater treatment addresses these issues by offering a cost-effective and eco-friendly solution. It helps mitigate pollution, conserve water resources, and adapt to changing environmental conditions, fostering long-term sustainability. However, given the uncertainty surrounding the effectiveness of […]

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Policy Research for Skills-Commensurate Employment for Newcomers to Canada

This proposed research aims to focus on the perspective of newcomers and the organizations that provide direct support to newcomers, and how policies and plans enable or inhibit how readily newcomers can find and secure skills- commensurate employment. It is our intent to make this research as practical as possible for newcomer-serving organizations to design […]

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Towards Causal Deep Learning for Explainability, Robustness, and Extrapolation

In many applications, Machine Learning (ML) predictions are used to make downstream decisions. Acting on ML predictions however can change the distribution of features that the ML model relies on for predictions. The implication is that such downstream decisions procedures implicitly expect the ML model to generalize outside of the observational distribution. Unfortunately, this is […]

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Organizational Factors in Resource Constrained Organizations

This research project aims to understand what key organizational factors are necessary to manage change in resource constrained organizations (RCOs) to enhance organizational survivability. RCOs include small businesses and not for profit organizations that have limited resources such as time or money to manage continuous change. The findings in this research will assist 1743231 Alberta […]

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AI-Powered Contract Summarization and NLP-Driven Data Cleansing: Innovating Legal Document Analysis

In response to the growing complexity and volume of legal contracts, there is a pressing need for innovative solutions to enhance efficiency and accuracy in drafting processes. This research proposal pivots towards automating language models to summarize existing agreements, with a specific emphasis on data cleansing and summarization of contracts. The proposed research explores the […]

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Real-Time Proactive Road Safety Monitoring and Optimization

This study proposes a new signal optimization technique that can help reduce crashes at intersections. Using data from sensors installed at the intersections, vehicle trajectories can be used to identify near-misses that would provide insight into crash-risk. By quantifying the crash-risk using extreme value models, a crash-risk metric is derived that can be used to […]

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Foundations of Academic Success in Indigenous Children

This research aims to understand Indigenous children’s academic attitudes during the pivotal transition to off-reserve schooling after grade six. It uniquely acknowledges educators’ vital role as unconventional mental health providers within Indigenous communities. By exploring stereotypes and attitudes, it bridges the gap between academia and community mental health providers, recognizing education’s potential in addressing mental […]

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Building Resilience in Frontline Healthcare Workers During COVID-19 & Beyond: Insights from British Columbia Canada

We have completed a research project titled COVID-19 Pandemic and Psycho-Social and Occupational Wellbeing of Frontline Healthcare Workers in BC, funded in 2021 through the Michael Smith Health Research BC, which is British Columbia’s health research agency. This project helped us to collect data from 400 frontline workers from BC. Using a unique combination of […]

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CdS heterojunction contacts to CZT X-ray detectors

CdZnTe (CZT) semiconductor crystals are used as X-ray detectors in state-of-the-art medical CT scanners. These devices are sensitive to individual X-ray photons and enable tissue selective X-ray imaging with reduced radiation dose to the patient. The CZT detectors function by converting absorbed X-rays into electrical signals that are subsequently analyzed by a computer to make […]

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