Opportunity ID: 292818

General Information

Document Type: Grants Notice
Funding Opportunity Number: G17AS00049
Funding Opportunity Title: Cooperative Ecosystem Studies Unit, Rocky Mountain CESU
Opportunity Category: Discretionary
Opportunity Category Explanation:
Funding Instrument Type: Cooperative Agreement
Category of Funding Activity: Science and Technology and other Research and Development
Category Explanation:
Expected Number of Awards: 1
Assistance Listings: 15.808 — U.S. Geological Survey_ Research and Data Collection
Cost Sharing or Matching Requirement: No
Version: Synopsis 1
Posted Date: Mar 29, 2017
Last Updated Date:
Original Closing Date for Applications: Apr 14, 2017
Current Closing Date for Applications: Apr 14, 2017
Archive Date: Jun 29, 2017
Estimated Total Program Funding: $40,118
Award Ceiling: $40,118
Award Floor: $0

Eligibility

Eligible Applicants: Others (see text field entitled “Additional Information on Eligibility” for clarification)
Additional Information on Eligibility: This financial assistance opportunity is being issued under a Cooperative Ecosystem Studies Unit (CESU) Program. CESUâ¿¿s are partnerships that provide research, technical assistance, and education. Eligible recipients must be a participating partner of the Rocky Mountain Cooperative Ecosystem Studies Unit (CESU) Program.

Additional Information

Agency Name: Geological Survey
Description: The US Geological Survey, Northern Rocky Mountain Science Center (NOROCK) is offering a funding opportunity to a CESU partner to review the integration of heterogeneous data as this topic has been identified as a pressing challenge. Applications in ecology dealing with multiple data sources and/or species types need further study and methodological developments. Typically, ecological settings and problems require spatial and temporal dependencies. With this opportunity, the Center would like to conduct a review of Bayesian methods for integrating multi-type and multi-species ecology data with an emphasis on spatial and spatiotemporal settings. Upon completion, this review should serve as a bridge for the submission of additional proposals to other partners focusing on integrated population models (IPMs) and Bayesian hierarchical models for multi-species data. IPMs provide a way to combine heterogeneous data sources for combined inferences. These models are necessary in many ecological settings where data collection can be expensive and difficult, therefore requiring the combination of data sets of different types and spatial domains. Many times in ecological settings, multi-species data sources are often incorrectly handled by failing to account for differences between species, which leads to inaccurate inferences and unidentified uncertainties. Conventional IPMs make strong assumptions about the independence of the different data sets, which may not always be reasonable. Additionally, analyzing data with spatial and spatiotemporal structures can present challenges in IPMs.
Link to Additional Information: https://www.grants.gov/
Grantor Contact Information: If you have difficulty accessing the full announcement electronically, please contact:

Faith Graves 703-648-7356
fgraves@usgs.gov

Email:fgraves@usgs.gov

Version History

Version Modification Description Updated Date

Folder 292818 Full Announcement-FUNDING OPPORTUNITY -> FUNDING OPPORTUNITY.pdf

Packages

Agency Contact Information: Faith Graves 703-648-7356
fgraves@usgs.gov

Email: fgraves@usgs.gov

Who Can Apply: Organization Applicants

Assistance Listing Number Competition ID Competition Title Opportunity Package ID Opening Date Closing Date Actions
15.808 G17AS00049 Cooperative Ecosystem Studies Unit, Rocky Mountain CESU PKG00231660 Mar 29, 2017 Apr 14, 2017 View

Package 1

Mandatory forms

292818 SF424_2_1-2.1.pdf

292818 ProjectNarrativeAttachments_1_2-1.2.pdf

292818 SF424A-1.0.pdf

292818 SF424B-1.1.pdf

2025-07-13T04:41:06-05:00

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