This project targets development of applied methods and practical solutions to risk management problems where only partial observation of a system is possible. Such settings are commonplace in financial and other context but can be challenging to address due to a limited number of production-grade ready-to-use solutions. The scientific component of the project employs approaches […]

The goal of our project titled Investing in Recovery: Strengthening Employer and Policy Roles in Labour Market Integration of Canada’s Immigrant Women in STEM will be to produce new research rooted in a power analysis around the specific challenges that Canada’s immigrant women in STEM face, including the perspective of STEM employers on the opportunity […]

Internationally Educated Health Professionals (IEHPs), are those who completed their health professional degree (e.g., nursing, MD, etc.) from outside Canada. Many of the IEHPs, however, cannot integrate into their ideal career i.e., nurse, physician, etc. and remain underemployed in non-skilled jobs. The low rate of success in obtaining their respective career in Canada leaves no […]

This proposal is part of a larger research program that aims to study the relationships between IT usage for communication, diversity in social and technical knowledge, and innovation in groups. We have developed a research framework based on social network theories to suggest two different mechanisms for relating diversity and IT usage to novel idea […]

Blockchain is an emerging technology that has the potential to change the way financial participants transact with each other. It enables direct transfer of value and financial assets between participants over networks without the need for a central authority (internet of value). It does this by combining the functionality of different technologies – distributed systems, […]

In this joint collaboration with Scotiabank we hope to solve a commonly faced problem by large financial institutions. It is to detect errors in financial datasets. This could be due to typing errors made by a human or a computer glitch that causes an incorrect value to be stored. To identify these errors, we plan […]

Canada’s financial services industry faces significant challenges to remain internationally competitive in the rapidly evolving web and big data environments. Scotiabank and its global competitors have as a key priority effective use of a large and growing amount of data to optimize the design and pricing of product offerings, to communicate effectively with clients, and […]

In this joint collaboration with BNS, we will develop a behavioural risk model to predict the likelihood of future risk of breaking the promise to pay debt for customers who only hold deposit products with BNS. The model will be utilized to support business operations such as credit card and loan pre-approvals. That is to […]

Canada’s financial services industry faces significant challenges to remain internationally competitive in the rapidly evolving web and big data environments. Scotiabank and its global competitors have as a key priority effective use of a large and growing amount of data to optimize the design and pricing of product offerings, to communicate effectively with clients, and […]

Blockchain technology changed how e-payments work and opened the door for development of advanced and secure e-payment systems. Currently, cryptocurrency is the only well-known, successful application of blockchain technology. However, the application of blockchain technology is not limited to cryptocurrencies. Many distributed ledger technology experts discussed the benefits of applying blockchain in many sectors such […]

Scotiabank employs teams of cybersecurity specialists across its global operations and partners with a variety of external organizations to prevent and investigate any electronic attempts to gain access to the Bank’s data. At the same time, employees are continuously educated and expected to look for warning signs and efforts to infiltrate that data as well. […]

The Customer Lifetime Value (CLV) framework provides a holistic approach to measurement and management of long-terms customer relations. The goal is to take into account all of the services and products customers need or might need across an organization and maximize long term benefits for both the firm and the customer. While simple in concept, […]