Oily wastewater production and discharge from different sources such as industries and daily human activities are the main sources of marine oil pollution. More importantly, accidental oil spills occurred in oil extraction/production, refining, and transportation stages can cause detrimental impacts on the aquatic ecosystems and marine environments.
Presently the Ocean Mapping Community is spending a lot of time manually cleaning the raw sonar survey files. If this cleaning process is done by an Artificial Intelligence system as clean as a human would do, this could be transforming the entire Ocean Mapping community. Therefore, we propose a novel solution of using an Artificial Intelligence Algorithm – Reinforcement Learning to clean the sonar survey files. The proposed algorithm was used by Google’s DeepMind to beat GO Grandmasters.
The vestibular organs detect head movement and are involved in the coordination of standing balance. With balance problems being a common and expensive healthcare cost internationally, there is a growing need for new diagnostic and therapeutic medical devices that target vestibular balance function. In particular, a wearable device that could be used outside the clinic could provide a convenient, low-cost alternative.
Plastics are all around us, and unfortunately, they either do not go through decomposition or take decades to decompose. Consequently, tiny plastic particles, called microplastics, are found in oceans, rivers, and even in drinking water. Living species in the oceans consume them, and these microplastics enter to our food chain and pose significant health concerns as they can be toxic to humans and animals. Currently, the detection of microplastics takes too much time and effort, and it requires laboratory equipment.
In the agri-food industry, monitoring the production and/or processing of raw materials can be important for ensuring the quality of the end-product. Measurement of specific compounds during processing can provide the feedback required to make informed adjustments resulting in a quality enhancement of the product. Biosensors are the devices that can provide detection and/or quantification of specific chemical compounds in a sample. For biosensors to be integrated into existing processing they need to provide accurate results in little time, be cheap, and simple to operate.
Canada is the third largest exporter and the fourth largest producer of oil in the world. Thus, oil is a very important part of the Canadian economy. Oil is a cleaner fuel than coal, but it still has many disadvantages. For example, oil spills that occurs during transport and drilling can cause great environmental damage. Oil spills into oceans are harmful to marine mammals and birds as well as shellfish and fish.
The global market of marine collagen-added products is tremendously growing, leading to the need for a stable and enormous supply of marine collagen. Atlantic salmon scales and skin are abundant in collagen, however no research has been performed for its extraction. The proposed project will develop an efficient extraction process to maximize the collagen yield, and purify the extracted collagen for its use as the functional ingredient in nutritional supplements and cosmetic products.
Municipalities across Canada have declared climate emergencies but are they able to deliver solutions and make change in their communities? What is the role of municipal land use planning tools, such as zoning, green performance standards, and urban design guidelines? Which tools are poised to have the highest impact? Climate change policies related to energy and emissions reductions are now included in virtually all comprehensive municipal plans. The purpose of this research is to understand how policies set out in community climate action plans are going to be implemented.
Canada works towards designating 30% of our national waters as Marine Protected Area (MPA) by 2030. The need to collect baseline information and monitor such a huge territory, which is equivalent to the area covered by Alberta, Manitoba, New Brunswick, and Nova Scotia altogether, will be next to impossible without a paradigm shift in the way field observation data are processed. We propose a platform for automatic classification of bedrock and species for habitat classification, coastal monitoring, and resource assessments.
In the genomics era, microbiologists are collecting data at an accelerating pace. We have created a data science platform called QUOREM that significantly reduces the technical burden experienced by microbial ecologists associated with managing ever-increasing quantities of data. We believe that public and private research groups in Canada could benefit our platform, and the ability to provide commercial support and hosting services is key to driving adoption and growth. We hope to learn how to take the next steps to realizing this vision through Springboard Atlantic’s Lab2Market program.