Simpler Grants.gov #G26AS00131

USGS GeoAI-Enabled Geospatial Data Infrastructure Research Cooperative Agreement

The U.S. Geological Survey (USGS) is seeking a North Atlantic Coast CESU partner for a one-year cooperative agreement focused on GeoAI-enabled geospatial data infrastructure research. - Government Buyer: - U.S. Geological Survey (USGS) - National Geospatial Program - Center of Excellence for Geospatial Information Science - Scope of Work: - Research and development of authoritative, semantically enriched GeoAI-enabled data infrastructures for hydrology and elevation data - Development, integration, and validation of ontologies for USGS The National Map datasets - Expansion and integration of vocabularies to link hydrological and elevation datasets - Validation of ontologies within a knowledge graph framework - Deliverables include technical reports, data products, and dissemination plans - Notable Requirements: - Compliance with USGS data management and open data standards - Eligibility limited to partners affiliated with the North Atlantic Coast Cooperative Ecosystem Studies Unit (CESU) - Research must align with federal priorities in AI, disaster response, and resource management - No specific OEMs or commercial vendors are named; the project is research-focused and does not request commercial products - Estimated total funding is $49,995 for the one-year period

Description

This solicitation is for a cooperative agreement with a CESU-affiliated partner to develop the next generation of authoritative, semantically enriched GeoAI-enabled data infrastructures for sharing hydrology and elevation data and knowledge. The project aims to develop ontologies for USGS The National Map data, integrate vocabularies to link hydrological and elevation data across datasets, and validate these ontologies in a knowledge graph framework. The research supports federal scientific innovation and geospatial research, with applications in hazard analysis, disaster response, and mineral resource assessments. The award is anticipated to be for one year with a total estimated funding of $49,995.

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