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.
$14,000.00
Apr 1, 2020
For-profit organization
Work Experience
YESP2021-1324-PR
The objective of the project is to provide the employee a learning experience about crop production, fertilizer recommendations, crop rotations, insect and disease control, and sustainable care for livestock.
$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.
$440,443.00
Jan 16, 2025
Not-for-profit organization or charity
515502
515502
SIEC's Inc. project will deliver coding, robotics, and AI education by offering customized kits and professional learning through virtual and in-person workshops into K-12 classrooms in Saskatchewan.
$45,350.00
Aug 15, 2019
For-profit organization
Off2Class Mexico Penetration
933756
Expansion of Canadian EdTech presence in foreign markets by means of a virtual language learning platform developed for adolescents and young adults offered through partnerships with Mexican education institutions.
$50,000.00
Jan 1, 2022
For-profit organization
Learning Experience Platform Upgrades including Vital Statistics Report, Algorithm Upgrades and interactivity.
982947
Software development project to enhance the firm's Team Learning Experience Platform (LXP) including interactivity and mobile enhancements, algorithm upgrades, and user experience enhancements to the proprietary Vital Statistics Report.
$45,000.00
Oct 18, 2021
For-profit organization
YEP - Specialist - Digital Clinical Processes
979668
Define the clinical processes in suicide prevention in a set of functionalities that will be developed on the ASO software core as well as in learning on AI algorithms.
$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.
$150,000.00
May 1, 2015
Narrowing the evidence-action gap in the Prevention of Mother to Child Transmission of HIV/AIDS (PMTCT) program in Ethiopia: What can we learn to enhance other health programs?
$100,000.00
Oct 10, 2023
INDIGENOUS JUSTICE PROGRAM ONTARIO REGIONAL GATHERING
12900776
To bring together restorative justice programs and Gladue caseworkers from all Indigenous communities in Ontario for two days in Toronto to learn, discuss best practices, celebrate sucesses and network.
$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.