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.
$13,990.00
Jun 4, 2018
Mulgrave Park Caring and Learning Centre
15211352
N/A
$1,368.00
Jun 4, 2018
The Learning Tree Childcare Incorporated
1560600
N/A
$0.00
Jun 4, 2018
Rods Machine Shop Limited
15252695
N/A
$187,000.00
Jun 1, 2018
For-profit organization
Develop an Interactive Application to Support to Learning of STEM Subjects in Higher Education and Leverage Machine Learning to Automate the Expansion of Digital Learning Content
907591
Develop an interactive application to allow students to draw chemistry structures and receive immediate grading & feedback. Leverage machine learning to expand digital content and also allow for a high degree of data importation and configuring within Varafy.
$10,000.00
Jun 1, 2018
For-profit organization
Green-Youth - Design of Software and hardware tools for PYGO Internet of Things (IoT) boards
907967
PYGO Inc. is creating Internet of Things (IoT) devices and sensor boards that can be used for hands-on design thinking method of learning of computer coding, robotics, automation, data processing, IoT and AI skills by anyone at any age.
$20,000.00
Jun 1, 2018
For-profit organization
Youth-Green: Machine Learning Based Asset Management
907973
This project is to support the development of creating a specialized means of using AI/ML software techniques applied to frame-by-frame analysis and definition of body detection, motion, and behaviours. A machine learning approach is proposed be used to automatically learn behavior grammars by observing videos of individuals displaying the desired characteristics to be learned, in different environments.
$75,000.00
Jun 1, 2018
For-profit organization
Conduct Risk Analytics tool
908013
Leveraging required disclosure in the financial services industry and our proposed behaviourial and machine learning algorithm, VigilantCS will support firms in the detection and mitigation of staff level risk to support the management of an effective compliant culture.
$50,000.00
Jun 1, 2018
For-profit organization
Generation 2 R&D
908187
Customer discovery, problem solution fit, concept design, and prototype development for generation 2 capsule flavours and machine.
$47,600.00
Jun 1, 2018
For-profit organization
Research and Design of a Robotics Web-based Learning Platform for Educators
908780
Given the global need for technological literacy, this project proposes the research and design of a web-based educators portal for teaching robotics using EZ-Robot Inc. technology. This initiative will provide customized content, training, and a community network.
$150,000.00
Jun 1, 2018
For-profit organization
Downhole Pump Card Analytics Augmented by Machine Learning
908881
Development of automated downhole pump card analytics augmented by machine learning to predict, calculate and self-correct friction distribution along the rod string for horizontal and deviated wells that experience excessive friction.