Dans le cadre de ce projet, les stagiaires Mitacs collaboreront avec une équipe de recherche du cégep André-Laurendeau et une entreprise québécoise pour développer un instrument de mesure de la distance entre les personnes. Cet instrument contribuera à une reprise économique dans le respect des normes de santé publique liées à la prévention de la […]

This proposal details an approach for evaluating a planned project led by SII called Participatory Cities: a new inclusive, system-based approach to stimulating and supporting dense networks of practical ‘participation culture’ in cities around the world. With proof of concept developed and tested in London, UK, by the Participatory City Foundation, the model will now […]

Organic waste disposal in landfills can produce a massive amount of methane, which is a potent greenhouse gas contributing to global warming. Once the landfill is filled, it is usually capped by a clay cover or geomembrane that can trap methane but not reduce it. Changing a part of the conventional cover by compost to […]

The COVID-19 pandemic has caused disruptions in multiple spheres of life and increased psychological distress, depression, and anxiety in many Canadians. With practices of social distancing implemented by the governments combined with an increased demand for psychological support, mental health agencies are forced to be creative and develop e-mental health interventions and tools. The current […]

We are building a machine learning system to help clinical experts accurately label medical notes with diagnosis codes. This will make it faster and cheaper to train machine learning models to identify important codes, including those related to infectious diseases and COVID, in large amounts of medical notes.

Geo-social networking applications (GSNAs) are quickly and radically impacting our cultural landscape in terms of gender identities, sexual practices, use of public space, commerce, and quality of life. GSNAs, like Bumble, use cell phones and satellites to create computer-mediated communication whereby users exchange a series of electronic messages and participate in different relational activities via […]

According to the Institute for Health Metrics and Evaluation, the number of global deaths and disabilities related to mental health conditions, such as Alzheimer’s disease and related dementias, has risen in recent years. This applies to Canada in the same way, causing premature deaths and disabilities. The general objective of this project is to define, […]

The SFBLC has been collecting detailed information on their clients and their socio-demographic and economics characteristics for more than five years. However, apart from collating overall summary numbers on things like user counts, which they report annually to Food Banks Canada, they largely lack the internal capacity to do a detailed analysis of this data […]

This project will evaluate whether an innovative approach to looking at consciousness allows for the diagnosis and management of concussion. The device, cali-ed the Halifax Consciousness Scanner (HCS), reads the brain waves of a person while listening to a special sound recording, and uses this information to determine a score for their level of consciousness. […]

As the COVID-19 pandemic complete eradication will at least take 2-3 years, putting the country under complete lockdown is an impractical solution. Hence, Computing and Data Analytics research group at Saint Mary’s University (SMU-CDA) proposes a collaboration with Agyle Intelligence to develop a complete framework using Data Analytics and Machine Learning that can help citizen, […]

In this research, occupancy monitoring data, temperature and humidity, and water quality parameters data collected through image processing and Internet of Things (IoT) sensors from multiple swimming pools are going to be processed and analyzed to identify the meaningful relations between these parameters and freshwater usage. The aim is to identify correlations between parameters and […]

As location is an integral part of both population and individual health, there is an emerging role for geospatial artificial intelligence (GeoAI) technology in health and healthcare. Novel infectious diseases such as COVID-19 are associated with population density, environmental factors, and interactions between humans and wildlife. GeoAI technology can be used to collect and analyze […]