Learning Personal Traits, Value, Skill Representations for Improved Matching of Jobs, Talent, and Courses

COVID, remote work, remote learning and the accelerated adoption of technology globally has shifted the ways of how we live, learn, and our future lifestyles going forward. The 90% of society face challenges of how best to simplify their navigation and access to knowledge – those who may not have high value networks, and the means and resources to identify and access ways to upskill, reskill, or retrain to enter or re-enter the future workforce.

Systems-level geohazard risk assessment in southwestern British Columbia

Geohazard risk assessments are performed when there is a known threat to humans, critical infrastructure, and the environment from natural hazards. In southwestern BC, these natural hazards include debris flows, debris floods, floods, and wildfires. These hazards are closely related to weather conditions, and with the effects of climate change, we may observe these hazards at higher frequencies and intensities.

Computer simulations of molten salts interactions with metallic materials

Small modular reactors have been identified by the Canadian government as a "source of safe, clean, affordable energy [...] for Canada and Canadians". Several of these reactor concepts rely on molten salt heat exchange loops, rather than traditional water-based heat exchangers. A key issue is that molten-salt driven corrosion is much less understood. This is of prime importance for the three main industry partners the Canadian Nuclear Laboratories, Ontario Power Generation, and Global First Power which are involved in the design, planning and construction of Canada's small modular reactors.

Development of a Hyper Fast Battery Charger for Electric Vehicles

Power system policies are broadly on track to escalate the use of Electric Vehicles (EV) in automotive industry. The increasing interest in use of EVs not only intensifies the demand in electric power but also introduces further challenges such as efficient and timely power distribution to EVs. Existing challenges in EV power charging relies on how fast and efficient EV chargers can provide power to EV power storage units, i.e batteries. In this regard, EV charging is the area that is significant and being improved daily as the number of EVs increases.

Detecting Parkinson’s Disease Using a Video-Based Eye-Tracking Approach

Parkinson’s disease (PD) affects 1 in 5 Canadians and this number is expected to increase as the population gets older. Diagnosing the disease early will lead to earlier treatment, better quality of life, and lower healthcare costs. There is currently no definitive test for PD. Doctors depend on looking for symptoms, such as trembling hands, to make a diagnosis. Early symptoms may be hard to see and look like the symptoms for other diseases. To help doctors find these early symptoms, Dynamiris has created a fast and easy-to-use tool, SimplyView, to screen for risk of PD.

Machine learning approach to monitoring and decarbonizing mineral processes

In Canada’s 2030 Agenda for Sustainable Development, one of the goals is to take urgent action to combat climatechange and its impacts. According to this agenda, the target is to reduce Canada’s total greenhouse gas (GHG)emissions by 30%. In order to transition to renewable energy, solar and wind power in combination with energystorage such as lithium-ion batteries can be used to replace fossil fuels.

Using machine learning to allocate stratified care in an electronic cognitive behavioural therapy program for depression

Depression is a leading cause of disability worldwide, yet only one third of patients with depression receive care. This is because the traditional in-person format of mental health care delivery can be inaccessible, inefficient, and expensive. Electronic cognitive behavioural therapy (e-CBT) has been shown to be an effective solution to expand care access, efficiency, and affordability. Combining depression-based e-CBT with artificial intelligence, this study aims to develop an effective decision-making model that matches an individual’s needs with the right amount of care.

Measuring Community Engagement of Kingston’s Decision Making Data Dashboard

The project measures community engagement of Kingston’s economic resiliency dashboard to help inform community economic development and growth strategies. Dashboard users can participate in a voluntary exit survey designed to learn about user’s needs, requirements and patterns of engagement with the dashboard. Interviews with the dashboard partners together with measuring the dashboard’s website traffic will help determine levels and areas of engagement across the community.

Creating Communities Through Art: a study of community-led arts education in Katarokwi/Kingston

Through archival research and oral history interviews, this collaborative project will trace the past and present ofcommunity-led and socially engaged arts education in the Katarokwi/Kingston.

Implementing and Evaluating School Street Initiatives in Ontario: Pilot Testing Street Reallocation Initiatives in Kingston, Markham, Hamilton, and Mississauga

Compared to previous generations, Canadian children today are much more likely to be driven to school daily. This trend can be explained by various issues, including parents’ concerns about the hazards posed by traffic congestion in and around school sites. School Street initiatives are intended to make it easier for children to walk or roll to school safely on their own by closing the street to through-traffic at the beginning and the end of the school day.