Grants and Contributions

Symbient Environmental Technologies is a Mississauga, Ontario based clean-tech start-up company specializing in the development of enabling process technologies based on catalysis and other engineered nanomaterials.  Symbient has patent pending catalyst and process technologies for water treatment, which will enable the point of use production of performic acid (PFA), a non-toxic and sustainable disinfectant which will obviate the need to use chlorine-based disinfectants, thereby eliminating the creation of hazardous chlorination disinfection by-products (DPBs).  Symbient’s PFA technology will afford reduced capital and operating costs and result in a substantial reduction in ecotoxicity and climate change impact relative to the incumbent hypochlorite disinfection technology, enabling operators to achieve their regulatory compliance targets.

The proposed project by Synergraze Inc. is aimed at commercially growing and processing a natural cattle feed additive based on a strain of algae. At less than one per cent inclusion level, the feed additive is capable of reducing methane emissions in cattle and other ruminants by up to 90 per cent while also increasing the rate of weight gain. As this algae strain has not been grown at commercial scale before, Synergraze Inc. is developing a land-based tank facility to produce and process the algae into a cattle feed additive. The feed additive provides direct GHG reductions by nearly eliminating enteric methane emissions from cattle as well as potential intensity-based reductions associated with improving the rate of weight gain. As a result of this project, the amount of cattle feed additive produced will yield GHG reductions from cattle by 68,400 Tonnes of CO2e per year.

The project goal is to advance the frontier of nanotechnology and optical instrumentation to implement a new generation of highly sensitive quantum systems for chemical-specific biomedical imaging. The partners will combine their expertise in quantum photonics, nanofabrication, optical design, chemical/bio sensors, and molecular spectroscopy to generate a new quantum sensing platform that will significantly surpass the performance of the current state-of-the-art, enabling unprecedented levels of sensitivity and specificity. The partnership will involve the fabrication of plasmonic nanostructures, the implementation of a quantum imaging system and the development of protocols for biomedical testing. The outcome of this partnership will enhance the range of applications of quantum sensors and imaging technologies in chemistry, biology and biomedicine.

Funding will support research to National Defence's Fast Forward: Forecasting global emerging threats Challenge. The Department of National Defence (DND) and the Canadian Armed Forces (CAF) are seeking innovative forecasting models that leverage the power of publicly available information, statistical methods, and machine learning models to assist DND with forecasting flashpoints and emerging threats around the world.

Funding will support research to National Defence's Fast Forward: Forecasting global emerging threats Challenge. The Department of National Defence (DND) and the Canadian Armed Forces (CAF) are seeking innovative forecasting models that leverage the power of publicly available information, statistical methods, and machine learning models to assist DND with forecasting flashpoints and emerging threats around the world.

Funding will support research to National Defence's Fast Forward: Forecasting global emerging threats Challenge. The Department of National Defence (DND) and the Canadian Armed Forces (CAF) are seeking innovative forecasting models that leverage the power of publicly available information, statistical methods, and machine learning models to assist DND with forecasting flashpoints and emerging threats around the world.

Funding will support research to National Defence's Fast Forward: Forecasting global emerging threats Challenge. The Department of National Defence and the Canadian Armed Forces (DND/CAF) are seeking innovative forecasting models that leverage the power of publicly available information, statistical methods, and machine learning models to assist DND with forecasting flashpoints and emerging threats around the world.

Funding will support research to National Defence's Fast Forward: Forecasting global emerging threats Challenge. The Department of National Defence (DND) and the Canadian Armed Forces (CAF) are seeking innovative forecasting models that leverage the power of publicly available information, statistical methods, and machine learning models to assist DND with forecasting flashpoints and emerging threats around the world.

Determining the genetic composition of Pseudogymnoascus destructans in order to support conservation actions for White Nose Syndrome in Species at Risk Act-listed bats

Jurisdictional Scan to Identify Policy, Economic and Social Barriers, and Opportunities for Boreal Caribou Habitat Restoration Through Increased Silviculture Investment