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.
$303,460.00
Sep 1, 2020
Academia
Security of data provenance and machine learning for the Internet of Things
958604
This project will develop new methods to ensure the security of IoT devices in large corporate networks. Data provenance and machine learning will be the main project tools. Provenance establishes the trustworthiness of the data generated by devices, which can in turn be used for training machine learning models that detect malicious behaviour.
$295,347.00
Sep 1, 2020
Academia
Security of data provenance and machine learning for the Internet of Things
958604
This project will develop new methods to ensure the security of IoT devices in large corporate networks. Data provenance and machine learning will be the main project tools. Provenance establishes the trustworthiness of the data generated by devices, which can in turn be used for training machine learning models that detect malicious behaviour.
$213,160.00
Aug 17, 2020
For-profit organization
Develop Simulations to Assess Learning during Emergency Situations and Adapt Training using Machine Learning
955202
VMT will develop new Virtual Reality and desktop trainers designed for workplace training on marine vessels and equipment. The simulators will provide safe and isolated training and will capture data to improve training and performance.