This grant is for research partners in the Great Rivers Cooperative Ecosystem Studies Unit to develop advanced statistical methods for analyzing bat monitoring data. The goal is to improve how we estimate where different bat species are found and how many there are, using sound recordings. This work will help conservation efforts by providing better data on bat populations, which are important for agriculture and ecosystems.
Who it's for: This grant is for partners in the Great Rivers Cooperative Ecosystem Studies Unit who are interested in developing new statistical methods for analyzing bat acoustic data.
More details
Likely Disqualifiers
- Not being a partner in the Great Rivers CESU network
- Proposals not focused on Bayesian statistical methods
- Lack of focus on passive bat acoustic monitoring data
What You May Need
- Proposal detailing research approach
- Budget plan
- Evidence of partnership with Great Rivers CESU
- Past research experience in Bayesian statistics
- Data management plan
Cautions
- Ensure alignment with CESU objectives
- Focus on Bayesian methods and spatial correlation
- Adherence to DOI strategic goals
Generated from official source details for readability
Eligibility
Eligible Applicant Types
Additional Criteria
Eligible applicants are unrestricted, but proposals must come from partners within the Great Rivers Cooperative Ecosystem Studies Unit network. This means that while there are no specific restrictions on the type of organization, they must be affiliated with this particular CESU network.
Overview
This grant is for partners in the Great Rivers Cooperative Ecosystem Studies Unit who are interested in developing new statistical methods for analyzing bat acoustic data.
Likely Disqualifiers
- Not being a partner in the Great Rivers CESU network
- Proposals not focused on Bayesian statistical methods
- Lack of focus on passive bat acoustic monitoring data
Use of Funds
Funds can be used to develop and apply statistical methods for bat monitoring data, including software development, data analysis, and potentially fieldwork related to acoustic monitoring.
Total Program Funding
$350,000
Expected Awards
1
Cost Sharing
Not Required
Important Dates
- Posted
- Oct 30, 2026
- Deadline
- Dec 4, 2026(33 days)
Application Checklist
- Verify partnership with Great Rivers CESU
- Develop a detailed research proposal
- Prepare a budget plan
- Include a data management plan
- Demonstrate experience with Bayesian statistics