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.
$263,793.00
Mar 30, 2023
Academia
An empirical framework for robust machine learning systems and its application in AI for logistics
1000536
Machine Learning (ML) technologies have been widely adopted in many
mission-critical fields to support intelligent decision-making with superior
performance.
$281,765.00
Mar 28, 2023
Academia
An empirical framework for robust machine learning systems and its application in AI4L
1000543
Machine Learning (ML) technologies have been widely adopted in many
mission-critical fields to support intelligent decision-making with superior
performance.
$137,500.00
Feb 13, 2025
Academia
An empirical framework for robust machine learning systems and its application in AI4L
1026307
Machine Learning (ML) technologies have been widely adopted in many mission-critical fields to support intelligent decision-making with superior performance.
$50,000.00
Sep 15, 2020
For-profit organization
Developing a Machine Learning Based Business Intelligence Infrastructure for the Domain of Mobile Device Insurance
956123
To develop analysis software enabling high-accuracy analysis and modeling of customer risk/cost profiles, providing more accurate, flexible, dynamic and impact-aware pricing models for device protection.
$49,874.00
Jan 1, 2025
Academia
Developing a new Framework for Ransomware Supply Chain Prevention through Machine Learning and Risk Analysis.
1022661
In response, this project proposes to develop an innovative approach that integrates machine learning techniques with risk management strategies to enhance the detection of ransomware threats within supply chain ecosystems.
$105,000.00
May 18, 2017
A global, multi-condition image-based analysis of protein localization changes using unsupervised machine learning
CGSD3
$17,500.00
Sep 21, 2017
Applications of Machine Learning and Neural Networks to Provide Insight into Neutrino Data at SNOLAB
CGSM
$4,237,881.00
Mar 19, 2014
Two year contribution agreement for fiscal year 2014/2015 and 2015/2016
$259,684.00
Dec 1, 2014
Multi-year award for fiscal years 2013/2014 to 2015/2016 inclusive. Amendment in the amount of $40,880 to contribution agreement reported October 1 to December 31, 2014.