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.

Found six records

$75,000.00

Jul 6, 2020

For-profit organization

Agreement:

Prediction of automotive system health from time series data using neural network models

Agreement Number:

952153

Duration: from Jul 6, 2020 to Apr 2, 2021
Description:

Pitstop’s mission is to obtain predictive maintenance insights from vehicle data and service data. Some drawbacks with machine learning approaches have been that data sets are not always complete. The simulation approach taken in this project will improve this situation and increase the benefit of a machine learning approach. In this project the plan is to train algorithms where there are common cases of service records that correlate to time-series sensor streams across different kinds of components (ex. engine and battery) and let the machine learning take care of small variations. This is an important step in our plan to apply neural network approaches to build proprietary predictions models on vehicle wear and failures.

Organization: National Research Council Canada
Program Name: Industrial Research Assistance Program – Contributions to Firms
Location: Toronto, Ontario, CA M5V 1S8

$111,804.00

Apr 1, 2020

For-profit organization

Agreement:

Innovation Assistance Program

Agreement Number:

950168

Duration: from Apr 1, 2020 to Jun 24, 2020
Description:

The funding provided by the IAP program is intended to assist innovative small and medium-sized enterprises in the start-up phase that cannot access existing commercial support related to COVID-19.

Organization: National Research Council Canada
Program Name: Innovation Assistance Program
Location: Toronto, Ontario, CA M5V 1S8

$4,500.00

Nov 1, 2017
Agreement:

Backend data storage and analysis

Agreement Number:

USRAI

Duration: from Nov 1, 2017 to
Organization: Natural Sciences and Engineering Research Council of Canada
Program Name: Experience Awards
Location: Ontario, CA

$4,500.00

Nov 1, 2017
Agreement:

Front end development for Data Capture

Agreement Number:

USRAI

Duration: from Nov 1, 2017 to
Organization: Natural Sciences and Engineering Research Council of Canada
Program Name: Experience Awards
Location: Ontario, CA

$4,500.00

Oct 18, 2017
Agreement:

Developing software for data capture

Agreement Number:

USRAI

Duration: from Oct 18, 2017 to
Organization: Natural Sciences and Engineering Research Council of Canada
Program Name: Experience Awards
Location: Ontario, CA

$80,000.00

Nov 18, 2016
Organization: National Research Council Canada
Location: Kitchener, Ontario, CA