Grants and Contributions
About this information
In June 2016, as part of the Open Government Action Plan, the Treasury Board of Canada Secretariat (TBS) committed to increasing the transparency and usefulness of grants and contribution data and subsequently launched the Guidelines on the Reporting of Grants and Contributions Awards, effective April 1, 2018.
The rules and principles governing government grants and contributions are outlined in the Treasury Board Policy on Transfer Payments. Transfer payments are transfers of money, goods, services or assets made from an appropriation to individuals, organizations or other levels of government, without the federal government directly receiving goods or services in return, but which may require the recipient to provide a report or other information subsequent to receiving payment. These expenditures are reported in the Public Accounts of Canada. The major types of transfer payments are grants, contributions and \'other transfer payments\'.
Included in this category, but not to be reported under proactive disclosure of awards, are (1) transfers to other levels of government such as Equalization payments as well as Canada Health and Social Transfer payments. (2) Grants and contributions reallocated or otherwise redistributed by the recipient to third parties; and (3) information that would normally be withheld under the Access to Information Act and the Privacy Act.
$40,000.00
Mar 30, 2023
Aboriginal recipient
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Funding awarded to participate in crown consultation related to the North River Midstream NEBC Connector Project.
$5,546,584.00
Mar 30, 2023
Aboriginal recipient
2223-HQ-000289
2223-HQ-000289
Not a Project (Mandated or Core Funding)
$585,421.10
Mar 30, 2023
For-profit organization
LysteMize livestock waste characterization study
EIP-CF-011
This project is mostly related to technology research and development.
$174,000.00
Mar 30, 2023
For-profit organization
Zero Emission Vehicle Awareness and Education Program (ZEVAEP)
PCA-057
This project promotes greater awareness among Canadians of electric vehicles and charging infrastructure.
$7,000,000.00
Mar 30, 2023
For-profit organization
Oil Sands CCUS Pathways to Net Zero
CCUS-21-44
The project is mostly related to conducting a front-end engineering and design (FEED) study to focus on the technical requirements as well as financial and regulatory aspects and permitting requirements to execute a demonstration project.
$1,196,905.00
Mar 30, 2023
For-profit organization
FEED Study of Svante's Carbon Capture Technology for Suncor's Fluid Catalytic Cracker Flue Gas
CCUS-21-35
The project is mostly related to conducting a front-end engineering and design (FEED) study to focus on the technical requirements as well as financial and regulatory aspects and permitting requirements to execute a demonstration project.
$48,533.10
Mar 30, 2023
For-profit organization
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500004733
Canada's Fisheries Fund will transform and drive innovation in the fish and seafood sector in Canada with a focus on developing the sector to better meet growing market demands for sustainably sourced, high-quality fish and seafood products.
$263,793.00
Mar 30, 2023
Academia
An empirical framework for robust machine learning systems and its application in AI for logistics
1000536
Machine Learning (ML) technologies have been widely adopted in many
mission-critical fields to support intelligent decision-making with superior
performance. With the success of these new technologies, the application of
ML introduces novel and significant threats to AI-powered systems.
Policymakers around the world have made a number of ongoing efforts on
regulation enactment to enforce and normalize AI cybersecurity and privacy.
It is essential to ensure that ML systems can achieve regulatory compliance
and satisfy the standard requirements.
This project will focus on developing a taxonomy of state-of-the-art ML
offensive/defensive technologies based on a comprehensive literature
review, including a collection of open-source adversarial challenges and
defense utilities; devising efficient security and privacy defense mechanisms
against the threats faced in the ML model training and prediction phase; and
developing an empirical framework consisting of a toolset of best practices
that can be leveraged to enable robust ML application development and
deployment.
$979,440.00
Mar 30, 2023
Academia
Machine Learning for Efficient and Effective Molecule Discovery
999240
Designing molecules with desired properties in drug, vaccine, and materials
discovery is a challenge. Accurately identifying lead candidate molecules
early on can significantly reduce the time and cost involved. Artificial
Intelligence (AI) has the potential to revolutionize drug and material
discovery by analyzing evidence from a large amount of previously
accumulated data, thereby significantly accelerating the process. This
Project will examine searching for molecules with optimized properties in the
presence of different types of oracles, corresponding to estimators of the
desired properties at varying degrees of computational cost and fidelity. The
Project aims to build an efficient and effective machine learning framework
for searching molecules with designed properties, and showcase its
applications on antibiotic and materials discovery, thereby enabling AI?empowered candidate discovery. This presents a solution for reducing a
resource intensive and time consuming design bottleneck, which is a core
design challenge across many industrial domains.
$250,000.00
Mar 30, 2023
Other
2223-HQ-000135
2223-HQ-000135
Not a Project (Mandated or Core Funding)