Notice of Intent: Raptor Management Cooperative Agreements
Sector: Education • Location: United States of America
Source: Grants.gov
This is noticed of intention to make a single source award under the Pacific Northwest CESUs (Cooperative Ecosystem Studies Unit) Cooperative and Joint Venture Agreement. CESUs are partnerships that provide research, technical assistance, and education. The CESU Network Council competitively selected the CESU host universities through five rounds of formal competition between 1999-2003, and perio
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | This is noticed of intention to make a single source award under the Pacific Northwest CESUs (Cooperative Ecosystem Studies Unit) Cooperative and Joint Venture Agreement. CESUs are partnerships that provide research, technical assistance, and education. The CESU Network Council competitively selected the CESU host universities through five rounds of formal competition between 1999-2003, and periodically reviews and reapproves each host university. This opportunity is consistent with the mission of the CESU Network and application of the CESU Network system-wide indirect cost rate is expected.This opportunity will enable collaborative work between a member university of the Pacific Northwest CESU and the U.S. Fish and Wildlife Service (Service) that includes completing revised regional population models for bald and golden eagles that can be used to assess the impact of total regional take of various forms, modifying the adaptive decision framework for managing and allocating total take of golden eagles at the regional level, updating the basic Bayesian predictive model for lethal take of eagles at the project site-level and developing competing models with additional complexity, and exploring the creation of a bald eagle specific model (collision prior) based on white-tailed eagle data, including literature search, data acquisition, and analysis. Substantial involvement on the part of the Service is anticipated for the successful completion of the activities to be funded. In particular, the Service will work closely with collaborators on this project, providing direct input on the analyses and modeling approaches and data, as needed and available, and co-authorship or review of manuscripts or reports. This may include arrangement of meetings (both in person and remote) as necessary and direct sharing of data and related information.Scientific integrity is vital to Department of the Interior activities under which scientific research, data, summaries, syntheses, interpretations, presentations, and/or publications are developed and used. Failure to uphold the highest degree of scientific integrity will result not only in potentially flawed scientific results, interpretations, and applications but will damage DOIs reputation and ability to uphold the publics trust. All work performed shall comply with the DOI Scientific Integrity Policy or its equivalent as provided by their organization or State law. As stated in the Scientific Integrity Policy, contractors may be required to investigate allegations of scientific misconduct. Failure to comply with the DOI Scientific Integrity Policy, including failing to conduct and/or truthfully report a requested investigation, may result in the Government exercising any available remedy including, but not limited to, the remedies specified in Section 3.8 E(2)(d) of the attached DOI Scientific Integrity Policy |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
