Ce projet vise à utiliser des techniques de traitement automatique des langues naturelles et d’exploitation de données textuelles afin d’aider à prédire le contexte législatif dans lequel les entreprises oeuvrent. Nous espérons ainsi réduire le risque relié à l’incertitude entourant la législation en la prédisant le mieux possible.

Pathogenic infections are responsible for approximately 60% of all hospital acquired infections. In order to help stop the spread, high contact surfaces require chemical additives that sense and respond to the presence of pathogenic bacteria quickly, and neutralize their threat. We are proposing a new form of antimicrobial that can be used as safe, green […]

As increasing international competition and environmental pressures, Canadian oil sands producers must develop new technologies to more competitively deliver their product to market that have lower greenhouse gas (GHG) emissions. Flow Control Devices (FCDs) are one such technology. These devices are placed in the injection and production wells and enable more efficient access to the […]

Relatively few interactive narrative-based systems support storytelling as an activity that takes place between children and their parents or guardians. This project is the initial foundation HCI research to explore and prototype tools and methodologies as contribution to the development of an innovative collaborative online storytelling application – The Kids Book Company. This is an […]

Submitted without Project overview, exception was approved by Deanna on Wed 23/05/2012 8:03 AM.

This MITACS Accelerate program will support a internships for graduate students in the areas of services and applications using next generation communications, Internet, and cloud computing. The interns will be placed in Canadian telecom and networking providers and vendors and will undertake research projects defined jointly with these partners. The program will prepare graduates to […]

The project aims to research and develop the most effective way for making COVID 19 guidelines into measurable actions for organizations. This research will enhance Diversio’s Audit tool in two parallel tracks: 1) Methodology for developing sector- and region-specific compliance surveys, translating those survey responses into a scoring methodology, and 2) Technology for automating the […]

This project aims to develop SARS-CoV-2 genomics tools to apply to the tracking of COVID-19 in municipal wastewater. Detection of SARS-CoV-2 genetic material in wastewater has been used to estimate prevalence of the virus in the corresponding community. This has the potential to be a relatively inexpensive early warning system that is complementary to testing […]

Numerous studies in the application of Machine Learning to mental health have demonstrated a range of benefits in the areas of diagnosis, treatment and support, research, and clinical administration. COVID-19 is an unprecedented health crisis causing a great deal of stress in populations in Canada. In this project, our aim is to apply practical machine […]

Les sols constituent le plus grand réservoir de carbone de la Terre et offrent plusieurs services écosystémiques pour assurer la sécurité alimentaire, l’adaptation au changement climatique et son atténuation. À la COP-21 (l’édition 2015 de la Conférence des Nations Unies sur les changements climatiques), l’initiative française ‘’4 pour 1000’’ stipule qu’on pourrait réduire considérablement l’augmentation […]

Rapid diagnostic testing has proven essential for stemming the on-going COVID-19 pandemic. Given the global threat of COVID-19 transmission, millions of tests are needed per month to isolate infections and to facilitate safe reopening of societies. This internship will contribute to COVID-19 diagnosis efforts by first developing a faster and cost-effective protocol for viral nucleic-acid […]

Valider les construits d’une application permettant de mesurer le bien-être des individus au sein de leur organisation ou de leur communauté.