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.
$22,499.00
Apr 1, 2023
Other
2324-HQ-000027
2324-HQ-000027
Not a Project (Mandated or Core Funding)
$22,499.00
Apr 1, 2023
Other
2324-HQ-000018
2324-HQ-000018
Not a Project (Mandated or Core Funding)
$100,000.00
Apr 1, 2023
Other
2324-HQ-000027
2324-HQ-000027
Not a Project (Mandated or Core Funding)
$100,000.00
Apr 1, 2023
Other
2324-HQ-000018
2324-HQ-000018
P048649
$600,000.00
Apr 1, 2023
For-profit organization
CIIP Korea - DAPMT - Development of an AI-based Predictive Maintenance Technology
1009838
As part of the international consortium project CIIP Korea - DAPMT - Development of an AI-based Predictive Maintenance Technology, this project will focus on *
Industry 4.0 is working directly with the technology revolution. Every day, machines and managers face large amounts of data entry and decision-making related to the customization of manufacturing processes.
$26,400.00
Apr 1, 2023
For-profit organization
Artha Learning Inc.-2023-2024-1005900
1005900
The purpose of this CanExport SMEs agreement is to support small- and medium-sized enterprises (SMEs) for activities related to export market development that are part of an export business case for a specific target market, particularly where activities are targeting departmental priority markets and sectors.
$400,000.00
Apr 1, 2023
For-profit organization
ITEA-20050 Secur-e-Health: Privacy preserving cross-organizational data analysis in the healthcare sector
1004158
The companie's role within consortium is to build digital prognostic machine learned models accessible to other partners, such as hospitals, clinicians or pharmaceutical companies.
$11,000.00
Apr 1, 2023
For-profit organization
Ryley Learning Ltd.-2023-2024-1004520
1004520
The purpose of this CanExport SMEs agreement is to support small- and medium-sized enterprises (SMEs) for activities related to export market development that are part of an export business case for a specific target market, particularly where activities are targeting departmental priority markets and sectors.
$280,984.40
Apr 1, 2023
Not-for-profit organization or charity
Conestoga Food Research and Innovation Lab
1004586
The Conestoga Food Research and Innovation Lab (CFRIL) will engage with IRAP on a pilot program designed to accelerate growth and profitability of 5 IRAP eligible early-stage food companies by helping them overcome obstacles to scale up, increase distribution times and/or adopt packaging that helps them meet food safety and retailer requirements, consumer expectations and sustainability goals.
$40,836.00
Apr 1, 2023
For-profit organization
Plant Health Intelligence: Unlocking Symptoms through Object and Symptom Detection
1004689
The proposed study aims to improve plant disease diagnosis by developing two new machine-learning models.