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.
$125,000.00
May 17, 2021
For-profit organization
ML Score Explainability
976170
The goals of the project is to help our users, who consume the analysis produced from our models, understand the reasoning behind the signals provided in a way that can be used to track it back to specific interactions/instances.
$40,656.00
Apr 1, 2020
For-profit organization
Innovation Assistance Program
949706
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.
$28,000.00
Jan 6, 2020
For-profit organization
Augmenting Natural Language Processing (NLP) models to improve accuracy of contextual analysis applicable to of long-running customer interactions in a technical support/call-center domain
943002
Summatti analyses conversations across multiple channels (phone, email, chat, etc.) to provide organizations with deep insights from their customer service organizations. This project is aimed at augmenting the Natural Language Processing (NLP) models to improve the accuracy of the analytics as it pertains to classifying the customer experience/satisfaction, topic(s) of conversation and sentiment around specific aspects of the interaction.