Best Practices and Models for Open, Collaborative Scholarship in the Arts & Humanities

Open, digital scholarship in the Arts and Humanities is significant as a mechanism of Canada’s growing digital scholarly infrastructure for facilitating public access and engagement with research. But the path to adopting open, digital scholarship on a national scale has been challenging. Academic organizations like the not-for-profit Iter Canada are committed to facilitating the engagement […]

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Improving protein-ligand binding models using multidimensional, mixed-confidence training data

There currently are no approved treatments for COVID-19, as global case counts increase daily. High infectivity and long time-to-recovery for COVID-19 cases is straining health-care systems globally. There is an urgent need to discover therapeutics that treat patients and improve clinical outcomes. Research and Development timelines associated with vaccines and new chemical entities will not […]

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Using Big Data to Chart Workplace Learning during COVID-19

In light of disruptions caused by COVID-19, companies employing frontline workers must balance health and safety with maintaining productivity to survive and thrive in an unpredictable economic climate. This picture is complicated by the need for rapid learning in new, redeployed, and longstanding employees. How is workplace learning impacted by the COVID-19 pandemic and how […]

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kitatipithitamak mithwayawin: Indigenous-Led Countermeasures to Coronavirus (COVID-19) and other Pandemics Then, Now, and Into the Future

The 2019 Novel Coronavirus (COVID-19) was first identified on December 31 2019 in Wuhan, China. As of May 23 2020, 5,403,979 COVID-19 cases have been confirmed in 213 countries and territories around the world with an attributed 343,975 deaths.Studies on H1N1 and other pandemics show that Indigenous communities in Canada suffered most from these diseases. […]

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Development of Resources for a National COVID-19 Information Website for Families of Children with Neurodevelopmental Disabilities

This research project will both contribute to, and examine the impacts of, the Autism & Intellectual-Developmental Disabilities National Resource and Exchange Network (AIDE) COVID-19 website for children with neuro-developmental disability (NDD) and their families, including evaluation for continual quality improvement and determining impact. Directed by the Pacific Autism Family Network, AIDE is a wide-reaching initiative […]

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Development of a Product to Prevent Binding of SARS-COV-2 within the Respiratory Airway and Cardiovascular System

The SARS beta coronaviruses, SARS-CoV, which caused the SARS (Severe Acute Respiratory Syndrome) outbreak in 2003 and the new SARS-CoV-2, which causes COVID-19, bind to angiotensin converting enzyme 2 (ACE2) receptors in the lower respiratory tracts of infected patients to gain entry into the lungs. Viral pneumonia and potentially fatal respiratory failure may result in […]

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Participator Cities. Every one. Every day: Toronto

Participatory Cities: Every One. Every Day: Toronto seeks to strengthen neighbourhood communities in Regent Park and Alexandra Park in Toronto. This research internship contributes to the project by developing a comprehensive understanding of what supports social cohesion in these neighbourhoods, and what hinders it. In addition, the Covid-19 pandemic has caused new problems for neighbourhoods, […]

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Rapid deployment of AI-assisted COVID-19 detection for radiology

There is currently an abundance of research in the community in terms of capturing X-ray data around COVID-19 analysis to help diagnosis for radiologists. However, at the same time there are staffing shortages that lead either to long diagnosis wait times and potential misdiagnosis. Our research is focused around rapid deployment of AI and developing […]

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Modelling Potential Impacts of Sea-Level Rise on Fish Habitat Offsets

A computer model will be used to simulate the impacts of sea-level rise on a tidal wetland in the Fraser River that is yet to be constructed. This research will provide project stakeholders with a better understanding of how resilient the proposed tidal wetland may be, given different possible sea-level rise scenarios. Results will be […]

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Agricultural Anomaly Detection using Temporal Dynamics of Remote Sensing Data

This project is about using artificial intelligence to interpret agricultural remote sensing data. We will develop new means to integrate repeated imagery data of targeted agricultural fields to pinpoint agronomically significant anomalies (e.g., water or nutrient stress, crop pathology, weeds, etc.) and provide field managers easy to follow recommendations guiding development of the most cost […]

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Characterization of aerosols generated by various dental procedures

Dental procedures generate a large quantity of airborne droplets. With the concern that COVID-19 transmits through respiratory droplets, dental personnel are at high risk of being exposed to the virus if an asymptomatic patient comes to their clinic. However, limited studies have been performed on the characterization of aerosols generated during dental procedures, how far […]

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R&D agenda in Data Science for emergency response

A person with COVID-19 can spread the disease to others. Therefore, it is crucially important to identify and isolate infected persons immediately to stop disease spreading. Contact tracing is one of the critical tools available to effectively break the chain of transmission and control outbreaks. Contact tracing is the process of identifying, assessing, and managing […]

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