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.
$30,000.00
Jan 4, 2023
For-profit organization
YOUTH - Data Scientist
1001263
Youth hire to work on Data-driven health risk prediction for AI-based automated underwriting and fraud detection in health insurance industry
$38,500.00
Oct 18, 2022
For-profit organization
Knowtions Research Inc.-2022-2023-999605
999605
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.
$100,000.00
Jan 1, 2020
For-profit organization
Hierarchical data vector representation and multi-task learning
946961
Hierarchical Vectoriser (H.Vec) is a multi task prediction model that provides multilayer representation of medical events. The objective of the hierarchical vectorizer is to improve predictive accuracy of Lydia AI by learning complex features at different levels and how these features interrelate.