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.
$50,000.00
May 16, 2022
For-profit organization
In-process Quality Assurance via Computer Vision and Machine Learning
990232
Alooki technology will be configured to identify anomalies in a fish packaging line to identify when errors happen and to send an alert to an operator of the error.
$300,564.00
Sep 1, 2022
Academia
Robust and resilient machine learning for connected health-care systems
984858
The Project focuses on building resilient and secure machine learning (ML)
techniques for connected health-care systems.
$0.00
Sep 1, 2025
For-profit organization
Development and implementation of a financial stress machine learning model
1034704
Establish key metrics, data pipelines and models to be used to provide accurate financial well stress indicator that can be integrated trough various SAAS modules.
$4,500.00
Sep 27, 2017
Using machine learning techniques to alert on live event streams.
USRAI
$140,000.00
May 10, 2017
Computational neuromuscular physiology
RGPIN
$25,000.00
Feb 7, 2018
Text recognition software development for legal services
EGP
$567,880.00
Mar 28, 2017
$75,000.00
Dec 18, 2023
For-profit organization
ARP - Development of high-precision 4- and 5-axis machining vices
1013823
Development of a family of high-precision machining vices and related accessories, with distinctive and innovative features, used for 4- and 5-axis CNC machines
$280,967.00
Nov 4, 2019
For-profit organization
Applying Deep Learning to Gait Analysis via Monocular Video: Predicting Gait Metrics from Labeled Images
937281
The core technology is a machine learning model that accurately pin-points anatomical locations. This project is focused specifically on running movements (i.e. gait), and has two objectives: (1) developing the specialized machine learning model for gait analysis, including pronation, and (2) testing the model’s accuracy against ground-truth gait analysis metrics collected from trained experts using manual video analysis.