For Indigenous communities, emergency management involves adopting community strategies and activities that meet the health and safety requirements of citizens while protecting, sustaining and enhancing the community infrastructure and resources that will be needed in the future. This research project will consider recent developments that resulted from the COVID-19 global pandemic and will explore how […]

Academic institutions and funding agencies are increasingly asking their researchers to conduct more outreach activities, including knowledge-mobilization endeavours. However, researchers often lack training and/or resources to effectively communicate with non-academic audiences. Using the DOCTalks Guide: Cross-sector Collaborative Practices for Knowledge-based Documentary Media, we propose a DOCTalks Institute for Knowledge-based Documentary Media and an associated Community […]

As a result of the COVID-19 pandemic, Municipalities in Newfoundland and Labrador have faced and continue to encounter challenges. They are also exploring new opportunities as they navigate what appears to be a new municipal world. Municipalities Newfoundland and Labrador (MNL) is working with its members on this navigation through regular engagement, survey work and […]

In amyotrophic lateral sclerosis (ALS), the communication between motor neurons and skeletal muscle is lost, resulting in weakness and degeneration of muscle tissue. ALS animal models fail to reproduce the complexities of the disease, which is thought to account for the failure of new drugs in clinical trials. At The Neuro, human blood samples are […]

Testing for COVID-19 is a major strategy to manage the pandemic and one of the most important criteria and measures that are needed to restart the economy in Canada (First Ministers’ statement on shared public health approach to support restarting the economy, April 28, 2020). Two types of diagnostic devices are commonly used: 1) Lab-based […]

Currently, elite athletes and their coaches rely on the subjective self-awareness and measurement of muscle force, heart rate, and the amount of blood lactic acid level to monitor body fitness and athletic performance. These methods, however, are not ideal and always reliable due to subjective errors, technological limitations and individual confounding factors that limit the […]

Indoor air quality of buildings is becoming even more important today, with the persistence of COVID-19 pandemic. A new type of air filter, based on bead-on-string polyacrylonitrile, offers high ultrafine particles removal (above 99%) as well as low pressure drop. Environmental and Power Solutions and Canada Water Technology eXchange are joining forces to undertake research […]

Emerging public health risks are typically characterized by uncertainty in the evidence-base (i.e., a mosaic of clinical, laboratory, and/or epidemiological evidence, that is often unclear and not uncommonly conflicting). Given this uncertainty, it is often difficult for decision-makers to discern if action is warranted. The question of how compelling the evidence base ought to be […]

Today almost 3 million people live in Toronto (almost 6 million in the Greater Toronto Area). As the city’s population continues to grow, people are increasingly seeking connection to the natural landscape within the city limits. This project will illuminate and re-invigorate understanding and appreciation of the natural history of the area and the importance […]

In times of crisis or disaster, there is a need for software features and functions to be empathetic to the circumstances of the person who is using that software. Having empathetic software features and functions is particularly important when the software is being used to collect data about the health status and information needs of […]

Blockchain technologies are increasingly becoming integral parts of information systems in domains that exhibit an increased need for resilience and can make no assumption of trust between parties. However, properly adopting blockchain in an information system design remains difficult, unsystematic and requires thorough understanding of the technology. In this project we explore ways by which […]

The goal of the project is to research and develop computer vision algorithms, software, and specialized hardware for the analysis of mixed traffic at intersections. Road users will be detected and classified as motor vehicles, pedestrians and bicycles. Road users will be geo-located within a 3D model of the intersection, tracked and classified according to […]