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.
$115,000.00
Sep 1, 2018
For-profit organization
Development of Next Generation Cloud Platform for IoT and Machine Learning
913321
This project will enable Relogix to develop a new solution platform capable of transmitting data from hundreds of thousands of sensors installed around the world to the Relogix Cloud at turnaround times of less than 5 minutes.
$220,000.00
Oct 31, 2024
Academia
Leveraging machine learning for improving field pea yield and seed quality
1023601
By leveraging data from ongoing SPP projects, the team will use machine learning (ML) to integrate multi-omics data as a means to elucidate molecular mechanisms underlying pea yield and seed quality.
$237,500.00
Oct 3, 2024
For-profit organization
Automated Geotechnical and Geological Mapping using Machine Learning and Computer Vision
1026037
The objective of the project is to automatically identify and classify geological and geotechnical features from LiDAR data to improve decision making around safety and orebody knowledge within the mining and tunnelling sectors.
$250,000.00
Apr 1, 2024
For-profit organization
Automated Geotechnical and Geological Mapping using Machine Learning and Computer Vision
1018635
The objective of the project is to automatically identify and classify geological and geotechnical features from LiDAR data to improve decision making around safety and orebody knowledge within the mining and tunnelling sectors. The project is a continuation of RockMass’s IP.
$29,000.00
Sep 1, 2023
For-profit organization
YOUTH - Machine Learning Development for the firm's Patent Analysis Tool
1007333
To develop an annotation tool for non-patent documents and generate comprehensive project reports in multiple formats.
$24,750.00
Mar 24, 2023
Academia
Reducing anxiety prior medical examinations using virtual reality and machine learning
1002425
Advances exploratory research under the New Beginnings Initiative
$348,000.00
Jun 1, 2022
For-profit organization
Formalizing Big Data Machine Learning Analysis Routines on BES Microbial Activity
992398
The goal of the project is to pivot from data provision to insight extraction to providing a platform that synthesizes big data and conveys the system health guidance/control needed by management and operations to achieve the higher-level goals of waste water process stability and sustainability.
$700,000.00
Jan 14, 2022
For-profit organization
Developing Machine Learning (ML) and Knowledge Engineering for an Evolving Marketplace
984665
Machine Learning (ML) in grain market analysis will transform the grain services industry.
$65,812.00
Nov 1, 2022
For-profit organization
Extend Autonomous Simulations to Ice Training Simulators for Machine Learning Applications
996954
Virtual Marine’s ice management simulators are currently instructor-led and performance tracking is recorded and measured by an instructor. In this project, new software and scenarios will be developed for the ice management simulators to provide automated tracking and autonomous scenarios, and features will be implemented to assess performance in a variety of automated scenarios that have been developed for ice navigation training (e.g. ice breaking, pack ice management and ice recognition). Subsequently, additional software modules will be developed to track performance data and to form competency models that will provide inputs to adaptive training modules.
$172,000.00
Aug 1, 2025
For-profit organization
Machine Learning Model for SAS to R Conversion in Pharmaceutical Industry
1033612
This project is to develop an accurate automatic translation program for migrating SAS code to R. SAS is a legacy statistical software widely used in pharmaceutical, insurance, and financial sectors. R is an open-sourced statistical computing and data visualization programming language that can enable these modern functionality.