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.
$425,000.00
Jun 27, 2023
For-profit organization
Preparation, normalization and analysis of data from an RF component manufacturing platform
1008466
As part of this project, data governance tools will be developed to enhance the value of data from the entire satellite supply chain, whether for business intelligence applications or for the deployment of machine learning models.
$50,000.00
Dec 9, 2024
For-profit organization
ICAP 2024 – International Co-Innovation Action Plan
1025972
PragmaClin uses machine learning to provide objective, accurate data for managing Parkinson's Disease.
$340,000.00
Nov 26, 2018
For-profit organization
SaaS (Software as a Service) Platform Automation, Phase 1
916878
Key results are to automate customer acquisition, customer success, reduce support costs, improve retention and improve customer results by leveraging AI (artificial intelligence) and machine learning.
$155,000.00
Sep 11, 2018
For-profit organization
Rattlehub 2.0
917132
Rattlehub Digital is adapting its personal data enrichment platform, called permyssion, for North America and other international locations by incorporating data engineering and content recognition, as well as AI, machine learning, and natural language processing capabilities.
$49,819.00
Aug 1, 2018
For-profit organization
Social Media Object Detection Prototype
911704
The objective of this project is to create a prototype that uses machine learning and AI to analyze social media posts across restaurant social media accounts and platforms for our targeted user base of business travellers.
$33,625.00
Apr 1, 2019
For-profit organization
Cigarette Smoke Analysis and Testing
925625
Aretas is undertaking the creation of a low cost cigarette smoke detection and monitoring system using machine learning with cigarette smoke training data generated by an artificial smoking apparatus, Aretas sensors and Aretas IoT Cloud platform.
$235,000.00
May 1, 2019
For-profit organization
Intelligent Network Insights Platform
927644
Research and develop an intelligent “insights platform” which uses Machine Learning or other in-house algorithms to automate the derivation of important network insights.
$2,000,000.00
Apr 1, 2023
For-profit organization
Suite of Enhancements to the D3 SOAR Platform to Cover the Whole Cyber Security Incident Response Lifecycle
1005313
Enhance the D3 SOAR platform to improve detection and response by delivering built-in vendor-specific, industry best practice compliant playbooks with cross-stack, deep integrations, coupled with artifacts metadata tracking and graph machine learning.
$1,496,021.00
Oct 23, 2019
Academia
AutoDefence: Towards Trustworthy Technologies for Autonomous Human-Machine Systems
The AutoDefence Micro-net research objective is to develop trustworthy technologies for autonomous human-machine systems applied in dynamic and contested defence environments.
To address the above practical challenges, the AutoDefence Micro-net will focus on the following three major research themes:
1) Cognitive Platform for Trusted Support: Novel methodologies to design trustworthy decision-support systems will be developed.
2) Cognitive Cycle of Machine Learning: Focus on cognitive load determination for semiautonomous systems in contested environments, autonomous learning systems for defence robots, unmanned systems, reliable target recognition, autonomous decision-support, and real-time battle-field awareness and cognition.
3) Distributed/Networked Autonomous Systems: Development of innovative machine learning and signal processing solutions for attack/intrusion modeling, detection, and isolation focusing on autonomy, distributed cooperation, and event-based nature of multi-agent systems.
$338,250.00
Oct 1, 2024
Academia
Theoretical and machine learning prediction of novel battery electrode
and electrolyte materials
1022833
The main objective of this Project is to conduct a computational study of
novel battery materials using computer models, simulations, and machine
learning. The Recipient will perform density functional theory (DFT)
simulations and machine learning to design and create proof-of-concept
battery materials, including cathode and electrolyte materials.