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.
$367,000.00
Jan 9, 2023
For-profit organization
Reagent Procurement Optimization
1003014
BenchSci enables pre-clinical pharmaceutical research scientists to select experimental reagents and model systems based on the documented history of experiments. As history contains a very large number of documented experiments, a “search” can result in a huge number of results. Many factors play into every drug development experiment, making the selection between all options difficult. Today, BenchSci uses a simple historic popularity ranking and this project will replace this ranking with a new ranking that incorporates as many experimental design factors as possible enabled by an ML model. This should create a significantly more accurate ranking without requiring an explicit understanding of every factor in a successful selection.
$813,120.00
Apr 1, 2020
For-profit organization
Innovation Assistance Program
949999
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.
$250,000.00
Aug 12, 2019
For-profit organization
Reagent Expansion
933557
Upon completion of this project, scientists in industry and academic institutions will be able use BenchSci to find numerous reagents (e.g. RNAi, Recombinant, CRISPR, Cell Line) that are most likely to work in their specific experiments. This will help to reduce experimental failure by providing users access to AI-assisted reagent selection.