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.
$285,000.00
Aug 23, 2017
E-smart pipeline: defect prediction using microwave sensing and communication
CRDPJ
$25,000.00
Jun 14, 2017
Using deep learning to detect and track all modes in traffic videos
EGP
$12,500.00
Apr 25, 2017
A hierarchical approach to data driven fault detection and diagnosis (FDD)
EGP2
$40,000.00
Sep 1, 2017
The religion of species is a research/creation project that excavates religious narratives implicit in modern theories of evolution through the construction of fictional documentaries produced by an imaginary museum of artificial histories
752
$6,500,000.49
Mar 21, 2024
Not-for-profit organization or charity
Aequitas Impact Investment Fund - Technical Assistance
7457887 P012020002
Project activities include: 1) Appui fourni aux institutions financière sur la réduction de l’empreinte écologique de leurs opérations; 2) Formation en éducation financière fourni aux micro, petites et moyennes enterprises, notamment celles dirigées par les femmes; and, 3) Appui fourni aux institutions financière pour la distribution de l’offre sexospécifique de produits et services financiers intelligents face aux changements climatiques auprès des micro, petites et moyennes entreprises, notamment les femmes entrepreneures*
$192,141.00
Dec 21, 2021
Academia
Quantum bio-imaging for next generation health diagnostics
988530
In the Project, the aim is to transform these nanomaterials into multi-modal imaging probes and intelligent bio-sensors by better understanding of their structure-function relationships, biocompatibility and tissue targeting abilities.
$363,000.00
Mar 25, 2022
Academia
Nutrient sensing and screening powered by machine learning for reduced frailty risk
988491
To this end, an e-screening tool for self-management and risk assessment will be developed along with machine learning methods to estimate both food volume and intake. To evaluate this intelligent tracking system, a food intake dataset including food weights, volume, amount intake, and image sensor measurements will be created over the course of the project.
$272,030.00
Oct 28, 2021
Academia
Quantum bio-sensing for next generation health diagnostics
981426
However, the transformation of these Ln-NPs into multi-modal imaging probes, intelligent bio-sensors and theranostic agents requires innovative design engineering based on understanding of their structure-property relationships, biocompatibility, and nano-bio interactions.
$363,000.00
Mar 25, 2022
Academia
Nutrient sensing and screening powered by machine learning for reduced frailty risk
988491
To this end, an e-screening tool for self-management and risk assessment will be developed along with machine learning methods to estimate both food volume and intake. To evaluate this intelligent tracking system, a food intake dataset including food weights, volume, amount intake, and image sensor measurements will be created over the course of the project.
$263,793.00
Mar 30, 2023
Academia
An empirical framework for robust machine learning systems and its application in AI for logistics
1000536
Machine Learning (ML) technologies have been widely adopted in many
mission-critical fields to support intelligent decision-making with superior
performance.