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.
$211,000.00
Jul 8, 2024
For-profit organization
AI-Powered Product Management Platform
1020540
The project will develop a software solution that leverages artificial intelligence to consolidate data from existing tools into value-added insights and recommendations supporting project and product managers.
$50,000.00
Jul 8, 2024
For-profit organization
ICAP 2024 – International Co-Innovation Action Plan
1020544
This International Co-Innovation Action Program (ICAP) project will prepare the firm to enter into future international co-innovation work.
$125,329.00
Jul 8, 2024
For-profit organization
BC Fast Pilot: Artificial Intelligence-enabled seed-sorting
1020553
The Project will support a pilot demonstration of a seed scanning system, for prediction of usable plants in a commercial greenhouse setting.
$1,600,000.00
Jul 8, 2024
For-profit organization
LVC - Operation Moat
1020998
Design the required software modules to generate an optimized list of potential suppliers, to speed up proposal generation and for real-time inventory.
$150,000.00
Jul 8, 2024
For-profit organization
Communications inter-hubs
1021205
The project will make it possible to exchange information between hub environments, while respecting established compliance, security and privacy criteria.
$30,000.00
Jul 8, 2024
For-profit organization
Developing a Prototype of a New Low Spatter TIG Welding Solution
1021250
This project helped complete R&D and testing an innovative welding application that can be used in either a conventional robotic or semi-automatic welding application.
$30,000.00
Jul 8, 2024
For-profit organization
Youth-Product Development Specialist
1021370
Product Development Specialist
$30,000.00
Jul 8, 2024
For-profit organization
YOUTH - Electroforming process specialist
1021408
Hiring of a mechanical engineering technician to work on optimizing electroforming manufacturing processes to maintain and expand the market.
$75,000.00
Jul 8, 2024
For-profit organization
Market Validation and Technical Solution Strategy Development
1021579
This Project will perform market validation and review practical technical options to expand critical functions for a range of new, scalable functions that are required by existing and new clients.
$374,550.00
Jul 8, 2024
Academia
Data-driven APS development for prediction of control parameters associated to in-flight particles characteristics.
1014103
Surface engineering and thermal spray (TS) coating technologies are used to enhance base materials sustainability and to add functionality to products with applicability in a variety of industries and sectors e.g., automotive, aerospace, oil and gas, energy, and defense. Constantly changing customer needs and demands require TS coating manufacturers to be flexible enough to augment the output of TS processes in an increasingly competitive global market while delivering high-quality products at low cost. These targets can be reached by making use of existing digital technologies to capture and exploit data, leading to highly flexible and reconfigurable coating production processes, optimized equipment usage, predictive maintenance, on-line spray monitoring, and end product (i.e., coatings) quality control. Within the proposed Project it is intended to instrument a high power/enthalpy APS torch with video cameras and acoustic sensors to record continuously the process and further analyze through images and sound processing capabilities based on machine learning algorithms. These video and audio data-sets will be examined for feature selection engineering and extraction and possible trends which can indicate discernible patterns. Ultimately, if a pattern were to arise, machine learning could be leveraged to monitor and automate the spraying process.