Hydroelectric development impact on Marine Ecosystems: Grand Riverkeeper Labrador, Inc. engaging in knowledge sharing with Subsistence and Commercial Fishers

Grand Riverkeeper Labrador, Inc. (GRK) is a federally incorporated non-profit organization that has as its mandate to preserve and protect the water quality and the ecological integrity of the Grand (Churchill) River and its estuaries for present and future users and for posterity through actions of public awareness, monitoring, intervention and habitat restoration. The purpose […]

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Worker Cooperatives, Newcomer Youth and Economic Mobilities

We are interested to explore the value and impact of worker co-ops as a vehicle for migrant youth to build skills and experience, and enable economic mobilities. Solid State has found considerable success working with newcomer youth in Surrey, BC. Through this project, we are interested in understanding how this work might travel from coast […]

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The Economic Transitions of Refugees Resettling in Rural Nova Scotia Since 2015: Learning from Refugee Newcomers, Sponsorship Groups, and Employers

The project explores the facilitators and barriers to the successful economic transitions of privately sponsored refugees resettled in rural areas of Nova Scotia since 2015. While acknowledging differences in pre-migration experiences, we seek to better understand 1) the post-migration factors shaping their economic transitions, such as gender, parental status, race, age and health; 2) how […]

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Livelihood Fisheries and Indigenous Rights in Atlantic Canada: An Examination of Netukulimk Principles in Action

The Atlantic Policy Congress of First Nations Chiefs Secretariat’s (APC) Fisheries and Integrated Resources Department is responsible for research, analysis, and development of policy altneratives and programs for all aspects of fisheries for their member communities. This research project examines the role of Indigenous principles for resource management in the fisheries operations of Indigenous communities […]

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Indigenous Front Line Workers: Mapping Future Directions in the Resolution Health Support Workers and Non-Insured Health Benefits Navigator Programs in Atlantic Canada

The Indian Residential School Settlement Agreement and the Truth and Reconciliation Commission have transformed healing, health and wellbeing services for Indigenous peoples who attended residential and their descendants. Working with the frontline health workers who provide the Resolution Health Support Program and the Non-Insured Health Benefits Navigator Program, this research maps the successes and challenges […]

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Wije’winen – Envisioning the New Mi’kmaw Friendship Centre through Participatory City and Principles of Reconciliation

The Mi’kmaw Native Friendship Centre (MNFC) in Kjipuktuk / Halifax, Nova Scotia is building a new centre and is designing the space to provide programming and services that will substantiate reconciliation for urban Indigenous communities. In order to engage the diverse populations residing in the North End neighbourhoods of Kjipuktuk / Halifax, the MNFC is […]

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Atlantic Canadian Beef Success and Opportunities

The purpose of this project to empower Atlantic Canadian Beef Producers to understand the unique success factors for beef production in the region and identify opportunities to improve their cost of production while mitigating environmental impacts based on the on-going work of the Beef Cattle Research Centre on the Canadian Cow-Calf Cost of Production (CDN […]

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Utilizing Remote Sensing and Machine Learning to Improve Poultry Farm Productivity

Within the Canadian context, poultry farmers are constrained by regulations that predetermine chicken prices and market supply. As a result, they are limited in the approaches they can take to improve the profitability of their operations. Within this regulatory framework, farmers must rely on measures that can be applied on their farms to improve chicken’s […]

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Detecting noise and artifact in CW ultrasound signal processing using machine learning and cloud-based tools

Continuous wave (CW) ultrasound systems are extremely sensitive to movement, noise, and artifacts of reflective tissues within the body that return doppler ultrasound signals to the receiver. In the application of CW ultrasound to clinical applications, classifying and handling noise/artifacts is essential for broad clinical adoption. A machine learning (ML) algorithm is commonly used for […]

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