This study will investigate the ability of an injectable vaccine to reduce illness and death due to pneumonia in lambs born and raised in a feedlot setting. If the vaccine is effective, it will improve the welfare of the lambs on the farm where the study is conducted, reduce antibiotic usage and costs, and improve profitability for the company that owns the farm. If proven to be effective the study will help to justify the use of this vaccine beyond this population (i.e. other Alberta and Canadian farms) and help to support the use of respiratory vaccines for the livestock industry in general.

This project will result in the generation of mathematical models that will predict the quality and sustainability of protein-based ingredients that are commonly used in dog diets. With the projected growth of human and pet populations, and increases in food production necessary to meet growing demands, providing Canadian pet food companies (such as our industry partner, Champion Petfoods) with the ability to rapidly identify ideal protein-based ingredients to select for dog diets based on environmental, financial, and biological sustainability is a top priority.

Understanding scenes representing real world environments is a challenging problem at the intersection of Computer Vision research and Deep Learning and a necessary pre-requisite for Embodied AI. Embodied AI is an emerging field within Machine Learning that focuses on the challenges that need to be addressed for successful deployment of edge devices such as drones and robots. In this setting estimating the semantics of an environment plays an essential role in addition to how it can be efficiently navigated to solve a variety of tasks that can involve other agents as well.

In Canada, about 1 in every 3 Canadians has a medical condition, or takes medication, that would be important
to know about in an emergency situation. That’s why, since 1961, Medic Alert Foundation Canada (MAFCA) has
helped to protect over 1 million Canadians by helping first responders and healthcare providers get access to
health information quickly. However, though the work of MAFCA is undoubtedly important, we do not yet
understand the full impact or value of this work.

The goal of this research project is to identify where Indigenous Knowledge differs from how the province of Ontario understands and manages winter moose habitat, in order to better protect moose populations in the Northeast Superior region. Additionally, new and improved forest inventory data in the region will be investigated as a potential tool to help close the gaps identified through interviews and community engagement.

Pelvic floor disorders (PFD) result in urinary and fecal incontinence and pelvic organ prolapse (POP), loss of support for the pelvic organs. While not commonly known, POP affects upwards of 50% of females. The common non-surgical treatment is to use intravaginal inserts, known as pessaries, to hold up the pelvic organs. The correct pessary is found using a trial-and-error method currently. Thus, there is a need to improve the pessary fitting process.

The purpose of this project is to design and evaluate a biofeedback device to help users to complete isometric shoulder and knee joint exercises. Specifically, the device, currently called the “Joint Force System (JFS)”, will measure the user’s force output and exercise form, and provide feedback to encourage ideal levels of effort and correct postures and joint motions. Through this project, the partner organization will gain access to state-of-the-art research facilities, literature, and experienced academic researchers to design and validate the device.

This project aims to provide an alternative therapeutic for the prevention and treatment of the virus responsible for COVID-19, SARS-CoV-2, as well as respiratory syncytial virus and influenza. Using a single viral vector platform, we will deliver antibodies from human survivors of these diseases to provide sustained levels of protection against the virus for all patients, including the elderly and immunocompromised. This project will help Avamab Pharma Inc.

Online Digital Hubs (ODH) have the capacity to promote resiliency and connectivity, countering barriers to accessibility and disruption (Lamport-Lewis & Deacon 2020; McShane et.al 2012; Rundel et.al 2020). This is of particular relevance in rural and peri-rural spaces as traditional third spaces such as churches and community centers are in decline, taking with it opportunity for knowledge sharing and overlooking the lack of resources for new and atypical voices in community planning.

There is a strong demand for effective means to detect and record trespass activities onto farm properties, which cost the agriculture industry many hundreds of millions of dollars each year. The goal of the project is to design and develop a trespasser detection system based on the presence of a human being carrying a cell phone. The detection system can be used to surveil farm premises in order to detect and immediately report the presence of any person illegally entering/trespassing on agricultural properties.