Informing Socially Conscious GSNAs : A Collaboration with Bumble

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 […]

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Real-time Optimization of Freshwater usage in Aquatic Facilities based on Occupancy and Water Quality data Using Machine Learning Methods.

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 […]

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Develop a web based geospatial artificial intelligence framework to track, visualize, analyze, model, and predict infectious disease spread in real-time.

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 […]

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Development of online rapid cognitive-motor assessment tool to monitor COVID-19-related dysfunction post-discharge

There is recent evidence that surviving COVID-19 (particularly following ventilator use) could result in changes to how well your brain controls functions important for daily living. Currently, however, there are few choices for clinicians to test these functions prior to hospital discharge and at follow-up. This project will develop a web-based cognitive-motor integration assessment tool […]

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A decision support tool for promoting new business models of cultural organisations in the context of COVID-19 crisis

The COVID-19 crisis has stimulated the need for digital transformation among organizations in order to adapt their business models and practices to survive from the pandemic. Data-driven solutions would emerge as the key of success by supporting cultural organizations to launch new products / services, developing marketing strategies, and improving customer experience. Our research project […]

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A Principled Approach to Developing Machine Learning Models for the Synthesis of Structured Health Data

Under the current pandemic of Covid-19, sharing health record data has tremendous benefits to control the spread of the infection and save lives globally. In medical research and discovery, Electronic medical records (EMRs) play the essential role for medical discovery in two categories, namely 1) cross-sectional study and 2) longitudinal study. Cross-sectional study compares different […]

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BI-Driven Management of Patient Flows in Health Care Organizations

Hospitals in Ontario are operating at congestion levels that translate into long wait times, staff burnout, and inefficiencies. Decisions coping with problems are made based on incomplete data which may be days out of date because the data is collected, processed and delivered manually in an ad hoc manner. Furthermore, these decisions may be optimal […]

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Advancing traceability in informal supply chains through applied AI and ML

PemPem develops tools to ensure product traceability in informal supply chains using AI. These informal supply chains employ over 60% of the working population worldwide. They typically have highly inefficient operations due to very limited access to information and a reliance on opaque word-of-mouth coordination. While PemPem has started solving the problem of collecting data […]

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Distributed Learning over Edge Computing to Support Covid-19 Modelling

The proposed research will allow any device to contribute its computing capabilities to the general distributed computer. Combined, these devices become a super-computer — providing resources for researchers and scientists in their quest for discovery. This research focuses on the finely calibrated aspects of scheduling slices of computing on this computing network. The intern will […]

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An examination of gamification methods to improve user engagement: A case study of a system to manage expertise during the COVID-19 Pandemic

totaliQ has developed an expertise management platform that helps organisations save significant time and money by providing them with maximum visibility into the individual expertise that each employee within the organization has and where that employee is located. safetyiQ is a free, light version of this system that will allow employees, managers and occupational health […]

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New designs for Bayesian adaptive cluster randomized trials for an individualized clinical support tool with capacity to support distance follow up and treatment of depression

Depression is a common and often devastating illness that contributes to suffering for patients and families and is also the number one cause of disability globally. Many patients do not respond to their first trial of treatment, and managing depression according to best practices can be difficult for clinicians. Using the power of machine learning, […]

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