Development of the Neural Network-Based Index Insurance : A Focus on Climate Change Risk Management

This project focuses on enhancing agricultural resilience to climate change by incorporating neural network-based optimization into weather index insurance designs. By utilizing advanced machine learning techniques, the initiative aims to improve the accuracy and appeal of insurance products for the agricultural sector, which is highly vulnerable to climate-induced weather unpredictability. The collaboration involves academia and […]

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Past and current Bitcoin adopters in Canada

The popularity of cryptocurrencies has continued to increase over the past years, raising serious policy concerns among Central Banks. Given the Bank of Canada’s role in maintaining financial stability, its 2019 Financial System Review identified the evolution of the cryptoasset market as one of six financial vulnerabilities that need to be monitored closely. Currently, in […]

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Northern Asset Management SRO Innovation Program

Our project focuses on leveraging detailed analytical research and advanced technological tools to enhance investment options at Northern Asset Management. As a comprehensive financial advisory and investment planning practice specializing in retirement and estate planning, we are committed to assisting clients throughout Canada in achieving their financial goals and maintaining financial health. With the Canadian […]

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Neighbourhood Sustainability Assessment: Connecting Impact with Policy Intent

The Neighbourhood Sustainability Assessment: Connecting Impact with Policy Intent project seeks to conduct a sustainability assessment of the UniverCity neighbourhood on Burnaby Mountain. The Community Capital NSA tool will be used to evaluate how well the UniverCity neighbourhood is meeting its vision of being a model sustainable complete community. Results will be subjected to a […]

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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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Alisa McNaughton – 51 Food and AgTech Fund

Food & agtech innovation are important contributors to Canada’s innovation ecosystem and the productivity of Canada’s agriculture and food sectors. This project will support the development of novel business processes at an emerging Canadian venture capital firm, as well as research into early stage science and technology companies within the sector through market analysis and […]

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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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A Generative Artificial Intelligence Driven Decision Support System for Spatial Optimization of Terrestrial Nature-Based Solutions in Canada

The proposed research project aims to determine the optimal utilization of less productive agricultural land in Canada. The objective is to leverage the capabilities of generative artificial intelligence together with optimization techniques to decide where nature-based solutions, such as smart farming, tree planting, and natural area regeneration, should be implemented. Selecting the appropriate strategies for […]

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Developing A Retrieval-Augmented Generation (RAG) Framework for Enhanced Data Analysis and Insight Generation for Capital Allocation Decision-Making

The proposed project aims to enhance decision-making in capital allocation by integrating different AI techniques into a data processing system. The goal is to develop an intelligence platform that efficiently processes large amounts of financial data, using AI to uncover valuable insights. The program will have different parts that each works on specific tasks, including […]

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