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.
$355,000.00
Jun 1, 2021
For-profit organization
Building predictive analytical (Machine Learning) module, in FracSol platform.
975803
It is not only acquire surface data and visualize frac events, but also analyzes frac interactions, display connectivity on the geospatial map, and will provide frac stimulation and prediction solutions by its analytics and machine learning capabilities.
$609,741.00
Apr 1, 2024
Not-for-profit organization or charity
FastLane Machine Learning Associates (MLA) program - 3 cohorts
1017820
AI innovation companies that intend to commercialize AI-related products and services can benefit from Vector-supervised "Machine Learning Associate" staff, for a 4 month period.
$245,000.00
May 1, 2024
For-profit organization
Machine Learning: AutoML Data Model Creation, Deployment & Management
1018843
FactR is advancing & strengthening its ML/AI technology for the design & development of AutoML-based data model creation, deployment & management.
The Project objective is to improve how Enterprises aggregate data, automatically scan/index data of any type/source, instantly label, & gain data insights with an auto-deployed ML data models.
$25,000.00
Mar 18, 2025
Academia
Dynamic Peace: Time-Spatial Conflict Forecasting with Machine Learning
The Department of National Defence (DND) and the Canadian Armed Forces (CAF) are seeking innovative forecasting models that leverage the power of publicly available information, statistical methods, and machine learning models to assist DND with forecasting flashpoints and emerging threats around the world.
$1,000,000.00
Apr 2, 2025
For-profit organization
Cognitive Radio Networks Anomaly Detection with Quantum Machine Learning
Funding will support research and development to address National Defence’s Challenge: North American Aerospace Defense Command (NORAD) Modernization Science & Technology (S&T) Contest. Defence Research and Development Canada (DRDC) and its defence and security partners seek to advance capabilities in five key areas: quantum technologies; autonomous systems; counter-uncrewed aerial systems (CUAS); Arctic mobility and navigation of military platforms; and energy solutions that are scalable, efficient, and sustainable for current and future Arctic operations. The initiative targets critical science and technology gaps in threat detection, situational awareness, decision support, and operational effectiveness to strengthen continental defence and support NORAD modernization.
$200,000.00
Aug 1, 2023
For-profit organization
Integrations and machine learning for passive wellbeing risk stratification
1009045
In this project, RightBlue Labs will be building integrations into Spotify, Google Calendar, Microsoft Calendar, and Google Weather to allow for passive data collection. Our data science team will study how the user's well-being correlates with their music listening habits, with the weather, and with their personal and professional workload.
Our goal is to eventually understand how an individual is likely feeling based primarily on the activities they're already performing day-to-day such as listening to music (sad vs angry vs happy music), attending meetings (busy vs open calendar), and existing in the world (weather, pressure systems, etc) without needing to request their manual input.
$144,126.00
Sep 17, 2018
For-profit organization
Risk Incident and Claims Management AI and Machine Learning
912634
The Firm is looking to develop tools for data aggregation, analysis and artificial intelligence. These tools will add meaningful value to client’s data, and add significant new revenue opportunities. The project will allow ClearRisk to incorporate data from existing disparate transaction based solution to provide a secure verified platform for improving operations and performance reporting in the area of incident and risk management.
$17,848.00
Oct 15, 2025
For-profit organization
Extracting Biological and Operational Chicks Data Using Machine Learning.
1034661
This project aims to assess the potential of extracting valuable insights/specific data from the millions of chick images already collected. These insights could offer added value to Chick Pick’s clients. The project also involves establishing the necessary technical infrastructure to support this initiative.
$4,500.00
Aug 10, 2017
Using machine learning to predict age of cancer onset
URU
$63,000.00
Jul 20, 2017
At the intersection of Machine Learning and Copula Modelling.
PGSD3