Does Intervention Work? Assessing the Effectiveness of Business Innovation and Growth Support in Canada

Using the Business Innovation and Growth Support (BIGS) dataset in Statistics Canada’s Linked File Environment (LFE), the proposed research will evaluate the impact of federal business innovation supports on firm growth, innovation (e.g., patent behavior), and propensity to export within and across strategic industries. The findings will inform how the partner organization, and firms like […]

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Efficient Learning Methods for Multimodal Understanding

The main focus of this research is to develop representation learning architectures and algorithms that can help perform various multimodal understanding tasks, and at the same time reduce the need for human supervision in the form of costly annotations. To achieve this goal, a learning system must be able to: (1) learn new tasks or […]

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Using community science to protect the butterflies of Canada

Community science is emerging as a powerful tool to answer scientific questions and to involve the public in educational activities. eButterfly, the Montreal Insectarium community science program, is one of the largest citizen science programs on insects in North America, and has great potential to inform management decisions across Canada during these crucial times for […]

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Anaerobic biodegradation of complex aromatic pollutants by indigenous microbes from a contaminated site in Brazil

This four-month research project proposal aims to contribute to bioremediation projects carried out by the partner industry by evaluating the biodegradability of some halogenated aromatic compounds, such as dichloroaniline (DCA), and chloroaniline (CA), present in a contaminated site. Through some biodegradability tests, we will verify and better understand how native microbes from the mentioned site […]

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Examining the operation of Public Pools and Spas in the COVID-19 Era

The COVID-19 pandemic affected every aspect of our lives, and recreational water facilities were not immune to this with several questions and concerns about potential exposure to the virus at these facilities. This research project aims to understand experiences, needs, and attitudes towards the use of recreational water facilities, namely, public pools and spas during […]

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Ontario Back To Play Research Project

The expected research seeks to understand the current state of youth sport offerings in Ontario, Canada. Through a survey of youth (ages 6-29), parents and organizations involved with sport in Ontario, the back to play survey aims to understand the current state of youth sport in the aftermath of the COVID-19 pandemic. Access to opportunity, […]

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RPAS acquired full motion video analysis and anomaly detection

This research project will investigate how modern Remotely Piloted Aircraft Systems (also referred to as RPAS, drones, UAVs or UASs) can optimize surveillance missions and target characterization through the integration of Full Motion Video (FMV) cameras. FMV data will be processed and analyzed including the use of Artificial Intelligence (AI) algorithms. The large amount of […]

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Understanding the Rise of the Right: A Podcast Series

The surge of radical right wing movements is one of the defining characteristics of this political moment, and it has the potential for the most grave repercussions. To date, little critical research about the ideational foundations of modern far right movements and the danger they pose has been effectively mobilized to the public. Our project […]

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Evaluation of Suncor Experimental Photodynamic Insecticides

Insect pests can cause substantial losses in crop yield and livestock. Conventional insecticides have lost efficacy due to insect resistance and have negative impacts on humans, animal health and the environment. There is a great need for effective insecticides that can provide solutions to these problems and that are compatible with sustainable approaches in agriculture […]

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Machine learning assisted quantum chemistry for Orquestra

Unsupervised machine learning has recently been introduced into the field of quantum many-body physics. A strategy based on generative models has been particularly successful in the data-driven learning of quantum states. In this proposal, we aim to adapt this technology to applications in quantum chemistry. The primary focus of this research will be on the […]

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Change detection of wetland vegetation under contrasting water-level scenarios in coastal marshes of eastern Georgian Bay

Great Lakes coastal marshes are economically and ecologically important ecosystems that purify water, reduce flooding risks, and provide habitat for the most diverse community of plants, reptiles, and fish along the shoreline. Most of the coastal marshes in Lakes Ontario and Erie have been destroyed or degraded by land-use changes, but those in eastern Georgian […]

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