An Innovative Model of Pediatric ACute Mental Health and AddictioNs Care to Increase Value to Children, Youth, and the Healthcare System: The PACMAN Study

The PACMAN Study seeks to understand experiences and satisfaction with care and outcomes of children and youth who used mental health services as well as their parents and caregivers at the above-mentioned hospitals, including an economic evaluation conducted by the IHE on the impact of the intervention on healthcare resource use and costs in youth […]

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Decoding Political Messaging to Working-Class Voters In Canada

This research project, “Decoding Political Messaging to Working-Class Voters In Canada,” is interested in understanding how the three major Canadian political talk to working-class voters. We will be looking at what the Liberals, Conservatives, and New Democrats say about important topics like jobs, climate change, and healthcare. By exploring and analyzing their party platforms from […]

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Machine Learning based Combustion Control for Zero Carbon fuels

The Canadian Net-Zero Emissions Accountability Act targets net-zero greenhouse gas (GHG) emissions by 2050 with similar commitments around the globe. In the short-term, emissions from heavy-duty internal combustion engines (ICEs) that dominate the power generation in freight transportation industry can either be reduced or eliminated with zero-carbon fuels such as Hydrogen / Ammonia. One solution […]

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A quarterly real GDP index for the province of Alberta

Stress tests link key bank variables with macroeconomic indicators to measure, for example, how much bank earnings can vary during economic downturns. For local businesses, which are closely tied to the health of the local economy, it’s important that these macroeconomic indicators have a regional focus. In this project, our goal is to enhance the […]

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Green House Gas Reduction – Accurate Quantification and Measurement

To construct models that can utilize the extensive data that has been previously collected, associated with numerous GHG reduction initiatives to accurately quantify realized or unrealized GHG emission reductions. From the work that was completed by O’Hanlon Paving’s previous intern, we were able to gather extensive data but unable to determine accurately if gains had […]

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Soil Analysis and Potential Soil Amendments Best Management Practices on Naturalization Sites within the City of Edmonton

For nearly three decades, Edmonton has been a pioneer in urban sustainability, implementing naturalization projects that revert sections of maintained City green space to a more native and ecologically balanced state. These efforts span diverse urban areas, including roadways, storm water ponds, park spaces, and communities. The City’s Naturalization program strategically plants trees, shrubs, and […]

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Establishing a 2024 baseline inventory of native biodiversity found around Alberta’s second largest conservation facility.

The Edmonton Valley Zoo and its team is passionate about the natural world and are always looking to find ways to promote environmental responsibility and reduce its own environmental footprint. Our Conservation team works to conserve species in the wild, through endangered species breeding programs, instituting green practices on site, and inspiring action by our […]

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Developing a high throughput in vitro method for testing pro-regenerative molecules

Multiple sclerosis is highly prevalent in Alberta and is characterized by loss of myelin (brain white matter) and myelin-producing cells, oligodendrocytes. This leads to neurodegeneration and symptoms like blurred vision, impaired cognition, loss of mobility and/or paralysis. Currently there are no treatments aimed to replace lost oligodendrocytes and myelin. This can be achieved by stimulating […]

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Latent Representations of Loan Delinquencies from Neural Networks for Decisioning Customers and Assessing Phone Call Strategies

During the previous Mitacs PhD internship (IT11500), a long short-term memory encoder-decoder (LSTM-ED) neural network survival model was developed to predict time to debt repayment for ATB collections customers. This model is novel from both methodological and practical perspectives. The LSTM-ED simultaneously predicts the probability that debt will be repaid within the first 90 days […]

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Development of in-vitro models to investigate the intestinal lymphatic uptake of drugs

We aim to improve drug delivery by addressing a lack of accurate models predicting how drugs reach the body’s lymphatic system. Our innovative in-vitro models focus on understanding how drugs travel through the intestinal lymphatics. Using chylomicrons, lipid-based vesicles, our models simulate the journey of drugs from the intestines to the bloodstream. This success of […]

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