Assessing generalization training of the Puppet Academy system

A resource to measure collaborative practice and generalized learning within minutes needs to be easy of use, effective and provide intrinsic motivation to engage users. This project advances the company’s commercialization opportunities by expanding entry into larger organizations and provides an additional opportunity to expand market reach. In the future, the product can be used […]

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Development of the anti-fouling hard marine coatings with increased resistance to grooming and cleaning

This proposal outlines the development of a novel polymeric hard marine paint with antifouling and easy-to-clean performance, mechanically compatible with the state of the art in-field grooming and cleaning technologies. This proposal targets reaching a 120 days of biofouling prevention in static deployment conditions, the chemical composition of the novel paint non-inclusive of toxins or […]

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Design and Implementation of a Filtration and Capture System for an Underwater Remotely Operated Vehicle Removing Ship Pollutants

In this project, an underwater remotely operated vehicle (ROV) from the industry partner EcoMarine Technologies Inc is used to navigate underwater to execute the tasks of capturing and filtering the biofouling when performing hull cleaning for ships in the ocean. In order to avoid harmful debris being released into the sea when cleaning, environmentally friendly […]

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Nanostructured metal oxide hydrogen sensors for enhanced performance

With the rapid growth in green hydrogen production and utilization, there is a need for cost-effective, high-performance hydrogen sensors. For example, green hydrogen is being produced at the gigawatt scale for a range of applications and industries. In particular, use of hydrogen in transportation (fuel cells) and for blending in natural gas for heating has […]

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Improving Medication Safety and Prescribing for Individuals with Chronic Kidney Disease (CKD) through the Development, Validation, Implementation and Evaluation of an Electronic Drug Dosing and Decision Support Kidney (eDose CKD) Tool for Nova Scotia Primary Care Pharmacists

Chronic kidney disease (CKD) occurs in 1 out of 10 Canadians. The kidneys are responsible for the removal of many drugs. These drugs may require adjustment to avoid buildup. Individuals with CKD tend to be older and take many medications due to chronic conditions. Considering these factors, the risk of unwanted drug effects or harm […]

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Restorative Sport Nova Scotia: Toward a Restorative Sport Ecosystem

This innovation project will design and incubate a provincial restorative approach to respond to complaints arising from maltreatment in sport and enhance provincial capacity to work in a human-centered way across sport to mitigate and prevent further maltreatment by building inclusive and healthy cultures. This shift in responding to harm in sport begins by acknowledging […]

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Developing machine learning methods for seafloor habitat mapping utilizing high-resolution synthetic aperture sonar (SAS) data sets.

Remote sensing technologies have changed the way we are able to map and understand our planet. For ocean floor mapping, acoustic remote sensing technologies are the only effective methods for broadscale mapping of the seabed. Acoustic mapping technologies have advanced tremendously over the past two decades, and continue to improve, offering increasingly higher data resolution […]

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Evaluation of Yarmouth Collaborative Food Network Program

The Yarmouth Collaborative Food Network (CFN) is a growing partnership working to reduce food insecurity and strengthen community well-being across the Town of Yarmouth, surrounding rural areas, and nearby First Nations communities. Coordinated by Parents’ Place, the CFN brings together local organizations, volunteers, schools, municipalities, and the Acts of Kindness Society (AOK) to deliver accessible, […]

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The Integration of Machine Learning into Research Process: Methodological Reconfigurations in Social Science-Driven Disaster Research

This project explores how disaster researchers are using machine learning (ML) and what that actually changes in disaster research. It starts by collecting a broad set of published studies where ML is used to study disasters and climate risks such as floods, heatwaves, wildfires, and storms. For each study, the project records what kinds of […]

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