IOTO International Inc’s work is recognized as innovative by some of the largest media organizations in Canada. Their Goverlytics software applies Machine Learning to political data. They intend to extend their software to provide statistical measurements of political discourse similar to performance statistics available in other domains like sports. IOTO is in the process of […]

Since 2000, interior Fraser River steelhead (IFRS) have declined to historic low abundance. Due to this, COSEWIC in 2018 designated IFRS as endangered. Hatchery propagation can reduce interannual variability in egg-to-fry survival rates and increase the freshwater abundance of juveniles. There remains controversy over the effectiveness of hatchery operation as a conservation measure. Some studies […]

The presence of chlorine-bearing compounds in sewer headspaces is a potential risk to personnel and can cause decay of valuable infrastructure through increased rates of corrosion. There is however little information available on their speciation and concentration in these systems as standard methods for sampling them from sewer headspaces do not exist. In addition, the […]

Vegetation in the Lower Columbia Valley in the West Kootenays of BC has been affected by historical emissions from the smelter in Trail, BC. Following logging of the valley for fuel and building materials, metal and SO2 emissions impaired forest regeneration on low valley slopes. A hardy tree species in the legume family native to […]

Ce projet vise à aider les employeurs à prendre le pouls de la santé mentale de leurs employé.e.s d’une façon qui soient rigoureuse et sensible, notamment pour les travailleur.se.s de groupes marginalisés. Un module web interactif sera développé, afin de dresser un portrait global de l’état de santé mentale chez les employé.e.s d’une organisation (à […]

This proposed research aims to understand the barriers to mental health and physical activity supports for self-identified refugee women, from both youth and older populations, who have experienced trauma and/or violence. Limited access to adequate mental and physical health services for refugee women has led to underdiagnosis of mental illness amongst refugee women and the […]

La prévalence de détresse psychologique au travail, déjà préoccupante, s’est exacerbée ces deux dernières années en raison de la pandémie, particulièrement dans le secteur. Or, les travaux manquent quant aux interventions novatrices à grande échelle pour promouvoir la santé mentale des travailleur.se.s du secteur tertiaire. Misant sur le potentiel inexploré de l’art public et des […]

Corrosion of the reinforcing steel is an extensive problem that reduces the service life of the structure and results in costly repairs and safety hazards. As a result, such deteriorated concrete structures must be replaced or extensively repaired, rehabilitated or strengthened. As a result, engineers worldwide are continuously seeking durable materials and robust systems to […]

Software-defined networking (SDN) leverages software to virtualize networking resources and make them more customizable and versatile. SDN is at the core of many ground-breaking advances and a key enabler for major technologies (e.g., 5G, IoT, Industry 4.0, and Smart Cities) that promise to have far-reaching economic and societal impact. To maximize SDN benefits, DevOps, an […]

The two goals of this project are to: 1. create a demonstration information system based on an existing system called Dreamcatcher for consultation, land-use, occupancy, and planning based on the archival material of the Mississaugas of the New Credit First Nation (MNCFN); and 2. use this system and First Story to preserve and promote Aboriginal […]

Glaucoma and cataracts are separate, but serious conditions of the eyes. If not properly managed, both can lead to significant vision loss. Currently, there is limited quality monitoring of vision care across the Alberta. The standardized use of performance measures that evaluate the glaucoma and cataract care is paramount to improving the quality of vision […]

Quantum computers are well-suited to a subset of machine learning tasks known as supervised learning (SL). In SL, a model is trained on labelled data to generate correct labels for novel data thereafter. Robust classifiers can be achieved in SL by using the “kernel trick”, which provides a more expressive metric from a transformed point […]