LiDAR-based evaluation of paleo-lake levels around Georgian Bay

The Georgian Bay Geopark is tasked with promoting and conserving the unique geological heritage of an important Canadian landscape, created over 2.5 billion years of geologic and environmental change. It is now in the process of being recognized by UNESCO as a Global Geopark on account of its international significance. This project investigates one of […]

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Improving International Student Success: Examining College Policies and Strategies for Recruitment and Employment Support in Ontario and British Columbia

Project Title: Improving International Student Success: Examining College Policies and Strategies for Recruitment and Employment Support in Ontario and British Columbia Partner Organization: College of Immigration and Citizenship Consultants Academic Institution: CERC in Migration and Integration Program at Toronto Metropolitan University Principal Investigator: Professor Anna Triandafyllidou Academic Advisor: Dr. Marshia Akbar

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Living Archives, Histories and Futures of Alternative Book Publishing (part of Archives / Counter-Archives)

PUBLIC was founded in 1988 by Public Access Collective, a Canadian charitable nonprofit organization committed to curating and producing innovative artistic research-creation projects and public interventions. Living Archives, Histories and Futures of Alternative Book Publishing is a research-creation project focused on developing PUBLIC Books and PUBLIC Online, including the further development of a more hybridized […]

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Leveraging influencers to raise awareness of RTO program

The intern will develop Requity Homes’ social media marketing strategies and improve Requity Homes’ social media presence. Through partnerships and marketing plans with social media influencers, the intern aims to help Requity Homes’ increase their brand awareness and educate potential homeowners on the Rent-to-Own program provided by Requity Homes. Requity Homes will receive the benefits […]

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Focus group execution as a step to Integrating Critical Design for Responsible Innovation

The project focuses on integrating critical design methods into the tech development workflow to address ethical concerns and promote inclusivity, diversity, and equity. As an intern, I will contribute to designing focus group questions, conducting focus group sessions, documenting the research group’s activities, and coding data from focus groups. Additionally, I will assist in organizing […]

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TP3 Mobile

TimePlay’s project aims to revolutionize the entertainment experience by providing innovative solutions that increase engagement and participation among players and participants, ultimately enhancing the overall satisfaction and enjoyment of their environment. Our TP3 Mobile, serves as a platform that hosts various interactive games and components, including features that allows hosts to control the flow of […]

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Online application for problem-solving by individual and groups

Group and individual problem-solving play important roles in industrial innovation, product development, strategy formulation, and many other applications. Prof. Duimering’s lab at the University of Waterloo has conducted experiments investigating the behaviour of individuals and groups solving problems under various conditions. Studies have investigated the effects of problem complexity, individual vs. group incentives, and the […]

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Modeling dynamics of the lateral geniculate nucleus of the thalamus

The proposed project aims to advance computational neuroscience by enhancing the MouseNet model, a Convolutional Neural Network (CNN) designed to emulate the structure and function of the mouse visual cortex. By incorporating 3D convolutions and realistic temporal dynamics, the project seeks to model the lateral geniculate nucleus (LGN) dynamics more accurately. This enhancement will provide […]

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Combining non-invasive brain stimulation with machine learning techniques to predict cognitive-sensorimotor interactions during skilled behaviours in healthy and clinical populations

The project aims to enhance our understanding and ability to predict the dynamics of cognitive and sensorimotor functions in skilled behaviors. Through the integration of non-invasive brain stimulation (like TMS) and machine learning algorithms, this research seeks to develop models that can foresee cognitive-sensorimotor interaction outcomes both in individuals with neurological conditions and healthy subjects. […]

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