Companies with a strong online presence are seeking to increase users’ engagement by adding recommendation and prediction algorithms to their websites. These algorithms can for example predict which users’ actions are more likely to happen and which users’ actions are likely more profitable. Companies use such algorithms to tailor the content of their websites based […]

We will study the efforts of traditional physicians to preserve their Indigenous healing system against the oppressive forces of western colonialism. Ayurveda is one of the oldest holistic healing systems in the world and has been practiced in India for more than 2,000 years. However, under the British rule and the spread of colonial medicine […]

Successful partnerships between non-profit organizations and funders are fundamental for organizations’ abilities to concentrate on their mission, and for founders to see their philanthropic investments align with their values and make real impacts. Matching founders and organizations has traditionally been done informally through personal connections, networks, and expensive prospecting software and databases. Just like a […]

With over 80% of the Canadian population dwelling in urban centers, design for sustainable urban environments is tantamount to the health and happiness of 21st century Canadians. The City of Victoria (CoV) would like to incorporate green infrastructure into their integrated storm water management plan. Over the past four years, nine rain gardens have been […]

Built on Web 2.0 principles, LimeSpot Solution Inc. will work with intern(s) to research on multiple modules that cover a variety of different aspects of applicability of social network in marketing and e-commerce: user driven, provider driven, device driven, and multiple providers. The research will help the partner organization to improve upon the current offerings […]

The goal is to understand the behavior of cryptocurrency chains when fraud amounts are transferred from the MasterCard network to cryptocurrency exchanges. Based on this understanding, we need to come up with an Index score or Leading indicators of certain pattern that indicates high fraudulent activity in the MasterCard network. We need to build such […]

The program of eight interlocking applied research projects employs various machine learning (ML) methodologies with large volumes of Island Health cross-continuum patient-service encounter data inside the Island Health firewall. The objective is to generate ready-for-use products that will promote better outcomes via more effectively optimized interoperation of IH programs. As well, the work targets objectives […]

This project proposal is to create an AI-based musical pitch and chord detection system suitable for deployment on a hardware device. Most of the research in this area is conducted on computer-based systems with large amounts of memory and computational power. Our goal is to develop new state of the art methods for doing this […]

Statistical analysis of 3-dimensional motions of objects or humans is instrumental to establish how these motions differ, depending on various influences or parameters. When such motions involve no stretching or tearing, they may be described by the elements of the Special Euclidean Group. Statistical analysis of physical processes of this kind is complicated by the […]

Supramolecular chemists have constructed macrocyclic structures called “hosts” that can selectively encapsulate a small molecule “guest.” Selective recognition is instrumental when trying to take host-guest chemistry to the real world. Drug detection, reversal, and delivery are growing applications for host-guest chemistry. However, things become complicated in biological systems due to the presence of salts that […]

The intent of this research project is to make iCBT technologies safer, and evidenced based for the Canadian populations. Many available products on the market have not been tested or evaluated for safety and whether or not they are effective in helping people self-manage their mental health needs is unknown. The research and interviews from […]

The proposed project is an extension of a previous project “Multi-hazard Risk & Resilience Assessment for Real Asset Decision-Support” which aims to develop a methodology and software for performing rapid high-resolution multi-hazard risk assessment for asset portfolios by combining commercial/publicly available hazard models with high-resolution vulnerabilities derived from multi-physics simulations of different asset archetypes. The […]