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.
$295,500.00
Aug 1, 2024
Indigenous recipients
Touchwood Agency Tribal Council (TATC): A Toolkit for Climate Change Adaptation Decision-Making
AP987
The purpose of this project are to expand the reach, availability and accessibility of adaptation training resources and tools, and to support collaborative peer-to-peer learning and networking.
$30,000.00
Oct 16, 2024
For-profit organization
YEP - Industrial Food Processing Oven
1023571
The design will incorporate lessons learned from a previous industrial food processing oven to expand the product range, increase capacity and improve reliability.
$40,250.00
Apr 26, 2018
The purpose of this agreement is to explore the application of deep learning algorithms for the recognition of forest species based on very high resolution imaging acquired by drones.
$747,250.00
Jan 23, 2025
Government
SUSTAINABLE COMMUNITIES FORUM
AP990
The purpose of this project are to expand the reach, availability and accessibility of adaptation training resources and tools, and to support collaborative peer-to-peer learning and networking.
$143,750.00
Mar 14, 2025
Government
Climate Change Training Course for Nunavut Decision Makers
AP992
The purpose of this project are to expand the reach, availability and accessibility of adaptation training resources and tools, and to support collaborative peer-to-peer learning and networking.
$687,600.00
Mar 14, 2025
Government
Adaptation and Preparedness Training NWT
AP991
The purpose of this project are to expand the reach, availability and accessibility of adaptation training resources and tools, and to support collaborative peer-to-peer learning and networking.
$50,000.00
Jun 1, 2023
For-profit organization
Network Communities with Profile Engagement
1006581
Develop new product capabilities to enhance the Network Communities architecture, to streamline and improve the ability for users to search, browse, discover, and explore groups, events, and learning programs.
$641,102.00
Mar 14, 2025
Government
Climate Change Training Course for Nunavut Decision Makers
AP992
The purpose of this project are to expand the reach, availability and accessibility of adaptation training resources and tools, and to support collaborative peer-to-peer learning and networking.
$687,600.00
Mar 14, 2025
Government
Adaptation and Preparedness Training NWT
AP991
The purpose of this project are to expand the reach, availability and accessibility of adaptation training resources and tools, and to support collaborative peer-to-peer learning and networking.
$75,000.00
Apr 1, 2018
For-profit organization
Identification and relationship between passive and active candidates.
902847
Luminari will attempt to effectively identify two groups of job seekers (passive and active) and develop a learning algorithm capable of utilizing active candidate data to match passive candidates.