Laying hens need a reliable source of protein and energy for egg production and maintenance that does not induce fatty liver disease (FLD). As egg production moves in the direction of group housing scenarios, more management techniques, including nutritional management, that reduce losses due to feather pecking and cannibalism will also be required. Hemp has […]

The interns in this project will use their skills in researching parts and products that can be used to achieve the subprojects that we set out to create on the micro-mobility car. In some areas the students may use the machine shop and equipment found in the engineering building on York University campus to create […]

This project proposes multi-criteria decision-making and mathematical programming (optimization) techniques to design an integrated decision-making tool to assist organizations in managing this complex process and achieving more efficiency. For the first problem, allocating project managers, we develop a multi-criteria decision-making method that will offer the possibility to optimize the usage of PMs’ time considering the […]

Tourism growth has led to unsustainable and careless practices. An emergent response disrupting such carelessness is regenerative tourism. Regenerative tourism is a transformational approach exploring ways to co-create benefits with local communities and their ecosystems while providing authentic experiences for visitors. While interest in regenerative tourism is growing there are limited studies exploring the benefits […]

Videns Analytics aide leurs partenaires à exploiter efficacement leurs données par le développement d’outils informatiques. Ils aident essentiellement leurs partenaires dans la transformation numérique. Grâce à l’expertise de Videns Analytics, les avancées technologiques peuvent être transférées durablement vers des partenaires québécois. Aujourd’hui, la plupart des entreprises, notamment au Québec, utilisent des outils simplistes (p. ex. […]

Current challenges, like climate change and the COVID-19 pandemic, have brought new awareness to how we consume, produce, and distribute food. In Saskatchewan, climate change is already impacting the quality and quantity of southern water supplies and strategies used for hunting, gathering, and fishing in northern areas. Amidst these challenges, this project examines whether local […]

This project will develop appropriate strategies for a “Smart Community” of the future with respect to the integration of food growing and processing spaces into the community. This may range from rooftop greenhouses, residential growing sunspaces, community gardens, food producing building components, etc. As well this proposal will investigate how food production will interact with […]

L’aménagement de larges bandes riveraines végétalisées en bord de champ est une pratique agroenvironnementale qui contribue à réduire les impacts environnementaux causés par les activités agricoles. Par contre, ce retrait de surface cultivée représente une perte de revenu pour un producteur agricole et ceci nuit à une adhésion généralisée à cette nouvelle pratique à l’échelle […]

This research will explore the connections between nature and people in Indigenous Protected and Conserved Areas (IPCAs). These values will be articulated by identifying the ecosystem services (i.e. the goods and services provided to people by nature) and determining which of these hold significant cultural values. These values will be compared using a variety of […]

The recording of brain activity through neural Implantable Medical Devices (IMDs) has a wide range of applications, such as studying brain patterns for seizure detection or brain stimulation to alleviate motor disorders. Some IMDs communicate with an external interface platform, which offloads the recorded data from, programs, and supplies power to the IMD. However, existing […]

Around 4 billion tonnes per year of crop and forest residues (biomass) are burned in open air, because they are often loose, wet, bulky, and too expensive to collect and centralize for subsequent conversion into useful products. This results in air pollution, and in some cases, exacerbated wildfires. In this project, we are applying machine […]

It is extremely challenging for clinicians and health researchers to extract insights from unstructured text data at scale. Recently, there has been a significant advancement in Natural Language Processing. Large deep-learning models, most famous of which are the transformers, generate pre-trained embeddings and are developed to extract insights from massive amounts of text. This project […]