Watersheds in the coastal regions of British Columbia are comprised of rugged mountains and high storm runoff, rendering streams prone to increases in snowmelt during rain-on-snow (ROS) events due to forest harvesting. Importantly, both forest harvesting operations and ROS events are widespread in the transitional snow zones of Vancouver Island, BC. Correspondingly, they routinely experience […]

The goal of this project is to examine the effect of one-time unconditional direct cash-transfer to recently homeless individuals in Vancouver, BC, Canada. Building on promising results from our research team’s ground-breaking pilot randomized controlled trial (RCT) with 50 cash recipients, the current project seeks to confirm this preliminary evidence using a larger RCT with […]

Brain wave technologies allow researchers and clinicians to monitor the brain at work. Our team has developed a new technology that uses electroencephalography (EEG) to provide an online record of different brain functions in a very short period of time. The brain waves recorded by this technology may change normally as time passes and previous […]

Chinook salmon may be especially vulnerable with limited food available when they first enter the ocean and during their first winter in the Straight of Georgia. To evaluate this, researchers will use lab studies to produce a new tool, that can be used without causing harm to the fish, to see whether wild Chinook salmon […]

Improving driving safety is an ongoing challenge with far reaching consequences for Canadians. One method of improving driving safety is by improving driver performance with hazard perception training. Hazard perception is a driver’s ability to anticipate dangers in the road environment and is predictive of the likelihood of being in a crash. Several countries including […]

Epithermal-type deposits are small, high-grade gold and/or silver ± base metal deposits that formed shallowly in the upper crust and are frequently associated with hydrothermal fluids related to deeper emplaced, large tonnage, low-grade precious metal ± base metal porphyry deposits. Bringing the deeper emplaced deposits to surface requires processes such as erosion of overlying rocks. […]

Driven by the awareness of the full environmental impact of fossil fuel mass consumption, the world is gradually transitioning to sustainable energy sources to eventually eliminate CO2 emissions. Inspired by this, we seek to develop an inexpensive photocatalytic system composed of earth-abundant organic polymer semiconductor and molecular cocatalysts that is capable of utilizing the energy […]

BC Hydro purchases power from four independent wind farms in British Columbia to supplement their hydropower. But wind is not steady, so BC Hydro must compensate for shortfalls or excesses in wind power to provide steady, reliable, economical power to its customers. To achieve this reliability, BC Hydro uses wind forecasts provided by the University […]

Regular physical activity is essential for optimal physical and mental health however the majority of Canadians aren’t meeting physical activity recommendations. The ParticipACTION app aims to assist Canadians in becoming more active and the purpose of this research program is to enhance the app’s impact by informing it with the Multi-Process Action Control (M-PAC) Framework. […]

While quantum computers in theory can solve problems exponentially faster than conventional computers, in practise they are quite challenging to build. One of the main problems facing the technology used by D-Wave, IBM, and google is the presence of flux noise. The current project aims to understand the origin of flux noise in D-Wave’s superconductor-based […]

This project will investigate how software developers work with structured information. It will use information about that interaction to improve tools needed by developers. It will assess whether those tools improve the productivity of software developers. The project will also compare the access patterns of users of business intelligence applications to those of developers to […]

The project contributes to the statistical, machine learning and deep learning fields from different aspects. First, we implement, document, and compare statistical, machine learning and deep learning solution for maritime market forecasting. This is the first attempt to utilize machine learning for this purpose. Moreover, we will present an enhanced explainable method that describes the […]