The overarching objective of the RC project is to generate evidence to support the successful development, implementation, and evaluation of the Recovery College model in the Vancouver Coastal Health region of British Columbia. Research conducted by interns on this project will include incorporating lessons learned from current and previous Recovery Colleges in other areas of […]

New America’s Future of Property Rights program aims to create a solution for people all over the world to achieve their basic human right “to own, rent, or otherwise occupy property” (Panfil & Mellon, 2019). What is denying a large part of populations their basic human right is the “lack of proper documents” (Panfil & […]

Insurance companies collect huge volumes of text on a daily basis and through multiple channels, which can be used for lots of different analyses, including identifying “cause of death”. It is difficult to overestimate the importance of an insurance company’s need to understand the facts and circumstances surrounding an insured individual’s death. These facts, including […]

The use of technology is considered as a potential solution to cope with social isolation particularly during the strict restrictions of a pandemic (Government of Canada, 2020). The proposed study is aimed at examining access to and use of internet and risk of social isolation during COVID-19 pandemic among both younger and older adults with […]

We would like to determine whether a modified version of LSD (TD-0148A), which does not induce hallucinations, has antidepressant effects that can be applied to patients with depressive disorders. We will investigate whether TD-0148A can change the physical structure of neurons, as other antidepressants do. Furthermore, we will use an animal model to determine whether […]

Determining methods to improve nutrient utilization in pigs is critical to improving the environmental, social, and economic sustainability of pork production in Canada. The objective of this project is to examine the use of an alternative source of dietary nitrogen and its impact on amino acid requirements and utilization in growing pigs. In disseminating results […]

Globally, neurological disorders impact over 250 million individuals and of this, stroke makes up the highest demand for rehabilitation (Cieza, 2020). As the prevalence of stroke continues to grow, the number of individuals who experience lasting impairment will continue to increase. We face challenges including the limited availability of health care providers, access to specialized […]

The goal of this research project is to understand how private, blockchain-based enterprises best engage and understand current Canadian regulation on data privacy. Policy is created at many different levels of government and it can be difficult for companies to be aware of the specific requirements needed to comply with regulation. This project will ask […]

Blockchains have evolved from an obscure technology powering bitcoin to a multi-billion- dollar research area. From the financial tech industry, healthcare, digital identities, and government services, blockchains are touted as a revolutionary new mechanism for communication and transactions. As popularity in blockchain technology increases, many are left in the dark as to how this technology […]

solutions for large-scale WiFi deployments where the performance of the network changes dynamically. The industry partner has an enterprise WiFi solution that collects Key Performance Indicators (KPIs), logs and WiFi configuration parameters in the cloud. There is an immediate need for automation platforms that can use these data to detect anomalies such as sudden performance […]

Atlantic Canada has the highest rate of CRC in Canada and NL has the highest incidence of familial CRC worldwide. This study is being undertaken primarily to reveal the underlying molecular mechanisms associated with the high rate of CRC in Atlantic Canada, particularly the well-documented familial CRC in NL. We expect to define novel genetic […]

The objective of this project is to develop an algorithmic system, trained on both public legal data and proprietary negotiation data, that will provide tailored predictions of likely court-based dispute resolution outcomes and optimal settlements. In the proposed sub-project, a team of interns (JD students) will be modelling and labelling dispute-resolution data on complaints against […]