Earth Diver: Digital Land-based Worlding

This project pilots “Earth Diver” an online digital ‘land-based’ creation, curation, and exhibition site in the virtual world platform Second Life. The project re-imagines the digital gallery space as a virtual expression of Indigenous pedagogies, land relations, and sovereignty. Guided by Ojibwe Anishinaabe philosophies our team of artists, philosophers and environmental scientists work together to […]

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A Leadership Development Model for Youth in Urban Communities

This internship will extend a research partnership between For Youth Initiative (FYI) organization and the Applied Social Welfare Research and Evaluation Group at the School of Social Work, York University. The internship project will build a comprehensive leadership development model that articulates best and promising evidence-based practices for engaging and building the leadership capacity of […]

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SCIO Strategic Business Plan for Mediation Services at Cortree

Spinal Cord Injury Ontario (SCIO) is a registered Canadian charity founded in 1945. Our vision is people with spinal cord injuries living the life they choose in a fully inclusive Ontario. We launched Cortree, a social venture owned by SCIO, in 2019. Cortree monetizes select educational products and services for audiences outside our non-profit core […]

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Risk aggregation beyond the normal limits

Risk aggregation is omnipresent in insurance applications. A recent example, borrowed from the modern regulatory accords, is the determination of the aggregate economic capital and its consequent allocation to risk drivers. A more traditional illustration of the importance of risk aggregation in insurance is the celebrated collective risk theory that dates back to the early […]

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Automation of Event Detection for ISA Cybersecurity Inc.

The purpose of this initiative is to design and develop a highly advanced data analysis platform. This platform would address the need for a much higher degree of threat event detection efficacy by conducting big data analytics and determining relationships between a large number of fields. The goal being to identify patterns of data that […]

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Build Data Pipeline for ML Applications with Kubeflow

In order to create value for the users, Dataraction needs to be able to provide insights and foster knowledge sharing and production from peer-learn activities. To do that, the ability to deploying effective machine learning applications is critical. Kubeflow will give the company the advantage with a well-structured data pipeline that can connect with many […]

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Weakly supervised representation learning for sequential and composite actions.

Camera enabled AI-based personal assistants will need to recognize human actions in order to be safe and effective. Current machine learning approaches for action recognition require extensive datasets of annotated videos that depicting the actions to be recognized. Such datasets are expensive to acquire. The goal of this project is to decrease the annotation required […]

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Advanced Text Clustering Algorithm for Aircraft Applications

CaseBank provides a service called ChronicX™ to the airline industry for the purpose of detecting and managing repeat defects, i.e. faults that have eluded resolution repeatedly. Each night, airlines upload their raw maintenance records to the CaseBank server. ChronicX applies text mining methods to eliminate irrelevant records, and search for defects that are repeat occurrences […]

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Developing a watershed approach to manage anthropogenic and environmental stressors in an eastern Lake Ontario watershed

Water quality in the watersheds of the Great Lakes are under ever-increasing pressures from population growth, urban expansion, economic development, nutrient enrichment, and climate change. We aim to develop a statistical model to understand the relative influence of anthropogenic stressors on water quality for the central Lake Ontario watershed surrounding the cities of Oshawa, Whitby, […]

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Deep learning-based illuminant estimation for mobile devices

Humans possess the ability to see objects as having the same color even when viewed under different illuminations. Cameras inherently lack this capability. A process called auto white balance (AWB) has to be applied by the camera to mimic this behavior of the human visual system. AWB is one of the first steps in a […]

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