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.
$352,200.00
Mar 17, 2025
Academia
ARIADNE: platform for Accelerated and pRecisIon pAndemic Diagnostics and iNfection hEalth.
1028742
It integrates NRC's microfluidic technology (PowerBlade) with novel gene circuit-based molecular sensors, facilitated by machine learning algorithms for biomarker refinement.
$113,190.00
Apr 1, 2022
Academia
Early detection of cognitive decline using epigenetic biomarkers in peripheral blood
989677
Such a predictor would identify those people at greatest risk of developing the disease earlier, when disease modifying therapies are deemed most effective, reducing the need for long-term care and increasing quality of life.
$298,100.00
Jun 10, 2024
Academia
Machine learning for Linking Lipidomics and Metabolomics with Clinical Measures for design of multimodal diagnostic models
1022500
Linking these data through hybrid machine learning and knowledge driven methods with molecular data provided by metabolomics and lipidomics is expected to lead to tangible clinical solutions in design of novel diagnostic, theragnostic and therapy avenues. Design of analytical AI and ML methods linking metabolome and lipidome with for example MRI or EEG is expected to provide an avenue for the understanding and design of innovative diagnostic and therapeutic modalities.
$130,000.00
May 10, 2017
Novel Algorithms for Detecting the Clonal Composition and Monitoring the Evolution of Tumours via Liquid Biopsies Sequencing Data
RGPIN
$130,000.00
May 10, 2017
Biogenesis of the plant ribosome and its role in plant growth and development
RGPIN
$240,000.00
May 10, 2017
Environmental genomics approaches for the study of multiple stressors in freshwater ecosystems
RGPIN
$195,000.00
May 10, 2017
Origins of variation in mitochondrial metabolism
RGPIN
$120,000.00
May 10, 2017
Probing the Interaction of Peripheral Sensory Tuning and Central Processing in Mate Choice
RGPIN
$200,000.00
May 10, 2017
Fungal mating circuity
RGPIN
$26,000.00
May 10, 2017
SRF-independent roles of Myocardin in differentiation of vascular smooth muscle cells
RGPIN