Effective mechanisms for bridging global environmental governance institutions where decision-making and governance principles are established with the experiences, knowledge, and worldviews of local peoples, communities, and conservation practitioners are increasingly necessary. Large-scale planning initiatives for conservation and mitigating climate change are cross-scalar endeavors. Therefore there is a critical need for governance mechanisms that effectively decentralize […]

Designing the most effective and efficient source of revenue is one of the leading policy challenges in the municipal sector today. Generally speaking, municipalities own and operate 60% of the built public infrastructure in the country, but are limited to approximately 8% of the aggregate tax revenue generated in the country by all three orders […]

The overarching goal of this project is to learn how to apply machine learning strategies to identify genes associated with breast cancer recurrence. The outcome of this project will be a working understanding of machine learning and its application for analyzing transcriptomic datasets. In addition, we will establish new collaborations with Dr. Sun Kim’s research […]

This project is an online multiplayer video game for Virtual Reality (VR) that is inspired by escape room themes and puzzles. The project is going to be developed using Unreal Engine 5 which is one of the newest and most powerful technologies that allows the team to implement more complex ideas and scenarios that were […]

Most forests slow down climate warming by removing CO2 from the atmosphere and storing it in biomass and soils. However, how much CO2 they remove depends on how much CO2 different forest compartments (vegetation and soils) take up from or release to the atmosphere. New sensor technologies have been developed allowing year-round measurements of CO2 […]

In response to the current climate crisis and since the Paris COP21, there has been widespread international agreement on limiting warming to < 2°C. Two recent IPCC reports have emphasized that the most feasible pathway to limiting warming to 2°C or less is to deploy both climate mitigation (emissions reduction) and intervention (Carbon dioxide removal) […]

There is a growing need to address the rising child mental health crisis in Canada. One way is to take a personalized medicine approach which includes factors that influence an individual’s environment, genetics and their microbiome. The microbiome includes a collection of microorganisms and can live on or within the human body. Many environmental factors […]

Ocean alkalinity enhancement (OAE) is rapidly emerging as a potential technique to mitigate against the worst impacts of climate change. However, little is known regarding the potential biological and ecological impacts of introducing alkaline base into the coastal ocean to capture CO2, reversing ocean acidification in the process. Specifically, it remains unclear whether the phytoplankton […]

Water resource management has been a challenge facing many regions worldwide, including Vietnam and Canada. Reservoirs are crucial in water management. The project is to further the intern’s PhD research on improving the reservoir operational rule with a case study of Thac Mo Reservoir in southern Vietnam. A model combining a rainfall-runoff framework, reservoir operating […]

Developing a sensor to detect nutrients in plants, replacing wet chemical analysis, has many advantages including rapid understanding of the nutrient status and the ability to scan wide areas of the field. The sensing principle is based on detecting spectral patterns of the leaves and relating them to nutrient availability in the petiole. However, such […]

Portfolio managers have generally favoured factor models to interpret and arbitrage abnormal alpha. Duncombe and Kay (2018) proposed an analysis, Two Sigma Factor Lens, to address these issues. In addition to these problems, another challenge is how to dynamically incorporate market upturns and downturns into asset allocation under a multi-factor model, which has attracted a […]

Aim of the study: The aim of this study is to compare the SARS-CoV-2 sequencing data available from the north American/Canadian SARS-CoV-2 outbreaks in mink to the Danish SARS-CoV-2 outbreaks in mink, and compare genetic similarities. Moreover, a secondary aim is to investigate the antibody response in relation to SARS-CoV-2 outbreak in Canadian mink to […]