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.
$20,000.00
Dec 21, 2020
Academia
Automatic measurement of river surface velocity and discharge using shore-based and aerial imagery
$40,000.00
Dec 21, 2020
Academia
Pilot study on Stage-Discharge Uncertainty Evaluation
$64,162.00
Dec 21, 2020
Academia
Investigating the combined impact of microplastics and temperature warming on zooplankton health using environmentally relevant conditions.
$25,298.00
Dec 21, 2020
Not-for-profit organization or charity
Voluntary Conservation of the Natural Chimney Swift and Bat Habitat in the Appalachians
$286,000.00
Dec 21, 2020
For-profit organization
Development of measurement and control systems for liquid-solid separation of mining wastewaters
962890
Development of inline liquid-solid separation process, measurements and a control system to enhance discharge water quality and rapid consolidation of resulting tailings.
$77,432.00
Dec 21, 2020
For-profit organization
Security
963006
This project will enhance the Stepscan tile hardware and software capabilities to create a dual-authentication footstep-based biometric reader testing platform, with integrations needed for popular user access control systems.
$12,024.00
Dec 21, 2020
For-profit organization
GPR Antenna
961930
The Company has been developing a light-weight ground-penetrating radar solution for use with RPAS (drones) for near-surface data collection in large areas and complex ground terrain/structures.
$199,980.00
Dec 21, 2020
Academia
Graph Representation Learning with Limited Labeled Data for Property Prediction in Design
964159
Deep learning models are increasingly being adopted and rapidly improved for property prediction in intelligent design, including predicting the functionalities of a novel circuit, foreseeing the working behaviors of a new material, and anticipating the reactions of a fresh compound. State-of-the-art deep techniques leverage two building blocks: deep graph neural networks and supervised signals from large amount of labelled data. Graphs are powerful and versatile data structures to model the relationships among objects, and powered by the graph structure, supervised learning leverages large amount of labelled data to construct efficient graph representation, which then enables the prediction model to make accurate decisions on the properties of a new design. Such state-of-the-art graph neural networks for property prediction, rely heavily on supervised learning with large labelled datasets, which is typically expensive and time-consuming.
This Project will examine the development of fundamental techniques for graph representation learning in the presence of limited labeled data, aiming at accurate property prediction of novel designs. The successful outcome of this Project will be a learning framework that enables the efficient learning of graph representation with limited labelled data. Consequently, with improved graph representation, the properties of a new design can be more accurately and effectively evaluated, resulting in meaningfully speeding up the search for desirable designs.
$377,587.00
Dec 21, 2020
Government
City of Yellowknife - Yellowknife Visitor Centre Relocation Plan
2021-CN-000704
A two-year project to renovate its relocated visitor centre to ensure attractiveness and accessibility. This project will support economic opportunities related to tourism in and around Yellowknife, Northwest Territories.
$99,000.00
Dec 21, 2020
Academia
YukonU Mobile Teaching Water Treatment Plant
2021-CN-000661
YukonU will purchase a mobile teaching water treatment plant to support the Yukon Water and Wastewater Operator Program (YWWOP). The unit will include water treatment, storage and distribution equipment commonly found in water treatment plants in Yukon, contained in a mobile container/trailer. The completed unit will enable hands-on training and experience for students across Yukon.