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U.S. Geological Survey·United States of America

Cooperative Agreement for affiliated Partner with the Great Lakes-Northern Forest Cooperative Ecosystem Studies Unit

Closes 7/9/2026$50kGrants Notice
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Description

The U.S. Geological Survey (USGS) is offering a funding opportunity to a Cooperative Ecosystem Studies Units (CESU) partner for research focused on developing authoritative knowledge infrastructure for the USGS GeoAI: Application, which will deploy agentic technology to support the Intelligent National Map (INM). The project aims to develop agentic infrastructure, enable natural language queries across diverse authoritative geospatial data sources, and return meaningful and actionable answers in the form of reports, analyses, charts, and other relevant information. Key aspects of the project include: * Developing authoritative knowledge infrastructure for the GeoAI: Application * Aligning with Executive Orders on critical minerals, artificial intelligence, and national security * Enhancing elevation and terrain characterization methods for geological assessment and resource evaluation * Advancing federal scientific capability in geospatial analysis, artificial intelligence applications, and knowledge graph technologies * Demonstrating practical integration of AI into federal geospatial workflows * Supporting hazard analysis, disaster response planning, and resource management * Providing high-quality elevation data and accurate landform representation for geological analysis and mineral resource assessments * Enhancing the accuracy, positional quality, and semantic representation of GNIS features within The National Map

Attached files

Contact

Rachel Miller(Grants Management Specialist)

[email protected]

(916) 278-9331

Key dates

Opened
6/5/2026
Closes
7/9/2026
Duration
1 year

Last updated

Details

Type
Grants Notice
Industry
Information Technology and Software Development
NAICS
541990
Solicitation №
G26AS00132

Budget estimate

$49,995

The estimated budget for this opportunity is $49,995, as stated in the document. This amount is likely to cover the costs of research, technical assistance, and education provided by the CESU partner. The budget may be influenced by factors such as the scope of work, the level of expertise required, and the duration of the project.

AI estimate from the solicitation

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