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.

Found three records

$150,000.00

Aug 1, 2024

For-profit organization

Agreement:

AI Training Dashboard

Agreement Number:

1021934

Duration: from Aug 1, 2024 to Jan 31, 2025
Description:

By providing a platform for AI to learn from its human operators, it will enable the AI to acquire valuable insights and intelligence for trading.

This learning process will allow the AI to refine its actions, increasingly mirroring the actions and intentions of its human operators, thereby becoming increasingly effective and reliable.

Acronym definitions used throughout:

IO - Insertion Order
FSA - Forward Sorting Area
RFP - Request for Proposal
PO - Purchase Order
CPM - Cost Per 1,000 impressions
CPC - Cost Per Click
CPA - Cost Per Acquisition
KPI - Key Performance Indicator
DSP - Demand Side Platform
SSP - Supply Side Platform
RTB - Real-Time Bidding
PSA - Publisher Service Agreement
MSA - Master Service Agreement

Organization: National Research Council Canada
Program Name: Industrial Research Assistance Program – Contributions to Firms
Location: Toronto, Ontario, CA M5J 2M4

$30,000.00

Dec 19, 2022

For-profit organization

Agreement:

Youth - MetaDSP development

Agreement Number:

1000168

Duration: from Dec 19, 2022 to Jun 30, 2023
Description:

The project is to automate the entire programmatic advertising buying cycle – from the data/planning phase to the buying/execution phase, and on to an automated, but agnostic, approach to DSPs (demand-side platforms). This will enable smaller agencies to better control their margins while driving material, cost-saving efficiencies.

This project is to create the AI-enabled database which employs data science and machine learning/AI algorithms which will serve as the base for the future MetaDSP software application.

The AI-enabled database will be unique insofar as it will be able to both store and process very large amounts of data using sophisticated, and yet undeveloped, machine learning algorithms.

Organization: National Research Council Canada
Program Name: Industrial Research Assistance Program – Youth Employment Program
Location: Toronto, Ontario, CA M5J 2M4

$150,000.00

Dec 1, 2022

For-profit organization

Agreement:

Meta DSP: a multi-DSP trading desk with AI/ML

Agreement Number:

1000242

Duration: from Dec 1, 2022 to Jul 31, 2023
Description:

The project is to automate the entire programmatic advertising buying cycle – from the data/planning phase to the buying/execution phase, and on to an automated, but agnostic, approach to DSPs (demand-side platforms). This will enable smaller agencies to better control their margins while driving material, cost-saving efficiencies.

This project is to create the AI-enabled database which employs data science and machine learning/AI algorithms which will serve as the base for the future Meta DSP software application.

The AI-enabled database will be unique insofar as it will be able to both store and process very large amounts of data using sophisticated, and yet undeveloped, machine learning algorithms.

Organization: National Research Council Canada
Program Name: Industrial Research Assistance Program – Contributions to Firms
Location: Toronto, Ontario, CA M5J 2M4