Data-Driven Wildlife Monitoring Systems: Who Qualifies
GrantID: 64136
Grant Funding Amount Low: $55,000
Deadline: June 3, 2024
Grant Amount High: $55,000
Summary
Explore related grant categories to find additional funding opportunities aligned with this program:
Black, Indigenous, People of Color grants, Business & Commerce grants, Environment grants, Municipalities grants, Natural Resources grants, Non-Profit Support Services grants.
Grant Overview
Data-Driven Wildlife Monitoring Systems
This funding opportunity is designed to support the development of advanced data systems for wildlife health and habitat condition monitoring. Unlike broader research grants that may include various scientific fields, this initiative zeroes in on ecological data management systems that enhance tracking capabilities and collaboration among environmental scientists and local agencies. The focus is on creating centralized databases to ensure the availability of accurate, up-to-date information critical for effective conservation strategies.
One illustrative use case involves the establishment of a shared database among local wildlife agencies that monitor endangered species populations. By integrating data sets from various stakeholders, entities can collaboratively assess habitat conditions and make informed decisions on restoration efforts. Moreover, this coordinated approach can lead to adaptive management strategies that evolve based on real-time data, thereby enhancing wildlife conservation measures.
Organizations eligible for this funding include universities, research institutions, and conservation organizations that are focused on data-driven approaches to wildlife monitoring. However, proposals that do not involve collaborative mechanisms or lack explicit planning for data sharing among stakeholders may not be well-regarded in the application process. The emphasis is on fostering a cooperative environment that enhances the collective impact of monitoring efforts.
Along with collaborative data systems, there are emerging requirements for organizations to have robust technical capabilities. Applicants must demonstrate how they plan to develop and maintain these systems, including investment in technology infrastructure and staffing for data management roles. This reflects a trend toward prioritizing technology-driven solutions in wildlife conservation, aiming for more dynamic and responsive conservation strategies.
Fit assessment criteria will focus on the potential for data systems to provide actionable insights into wildlife health and habitat conditions. Successful proposals will clearly outline methodologies for evaluating project success and the efficacy of the data-driven approaches in supporting conservation outcomes.
Eligible Regions
Interests
Eligible Requirements
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