Cooperative Agreement for affiliated Partner with the North Atlantic Coast Cooperative Ecosystem Studies Unit | Apply Online

FAQs: USGS CESU Cooperative Agreement (North Atlantic Coast CESU) - Semantically Enriched, GeoAI-Enabled Hydrology and Elevation Data Infrastructure

1) What agency is offering this funding opportunity?

This opportunity is offered by the U.S. Geological Survey (USGS).

2) What type of funding instrument is being used?

The funding instrument is a cooperative agreement. This typically means USGS may be substantially involved in the project compared to a standard grant, such as through technical collaboration, coordination on direction, milestones, planning, or review.

3) Is this opportunity part of the CESU Program?

Yes. It is offered through the Cooperative Ecosystem Studies Units (CESU) Program and is specifically tied to the North Atlantic Coast CESU.

4) Who is eligible to apply?

Eligibility is limited to organizations that are already participating partners in the North Atlantic Coast CESU. Organizations that are not partners in that CESU are not eligible under the terms described.

5) If my organization is not a North Atlantic Coast CESU partner, can we still apply?

No. The opportunity is specifically limited to participating partners in the North Atlantic Coast CESU, even if a non-partner organization has relevant expertise.

6) What is the overall purpose of this project?

The purpose is research and development aimed at building the next generation of authoritative data infrastructure for hydrology and elevation information, with a strong emphasis on semantically enriched and GeoAI-enabled approaches.

7) What does the opportunity mean by "authoritative data infrastructure" for hydrology and elevation?

In this context, it refers to improving how water-related and elevation datasets are organized, described, connected, and shared so they are easier to discover, interpret, integrate, and use across tools and agencies, including modern AI-assisted workflows.

8) What are the main technical themes of the work?

The technical theme is data infrastructure that goes beyond traditional databases or portals by adding semantic structure. The opportunity emphasizes approaches that make data more machine-interpretable and interoperable through semantic enrichment and GeoAI-aware design.

9) What is "semantic enrichment" in the context of this opportunity?

Semantic enrichment generally means attaching well-defined meaning to data using consistent vocabularies, ontologies, knowledge graphs, rich metadata, and machine-readable relationships between concepts. The goal is to make the meaning of the data clearer to both people and systems.

10) How might semantic enrichment apply to hydrology and elevation data?

The opportunity describes potential improvements like clearer representation of hydrologic and terrain features (such as streams, watersheds, flow paths, floodplains, or terrain derivatives), consistent terminology across data sources, and explicit links between datasets, methods, and documented knowledge.

11) What does "GeoAI-enabled" mean for this project?

GeoAI refers to geospatial artificial intelligence methods. The opportunity signals an expectation that GeoAI will be considered as part of the design to support smarter data discovery, automated quality checks, feature extraction, reasoning across linked information, or improved interoperability among systems that publish and consume geospatial information.

12) Is this opportunity focused on data portals or databases only?

No. While it relates to data infrastructure, the emphasis is on going beyond traditional portals or databases by adding semantic structure (for example, ontologies, knowledge graphs, and machine-readable relationships) so the data can be more easily discovered, connected, and used across systems.

13) What kinds of datasets are in scope?

The scope is hydrology and elevation information, including water-related datasets and elevation/terrain-related datasets, with examples referencing streams, watersheds, flow paths, floodplains, and terrain derivatives.

14) What is the activity category for this opportunity?

The activity category is Science and Technology and other Research and Development.

15) What is the CFDA number listed for this opportunity?

The opportunity lists CFDA 15.808, which corresponds to USGS research and related assistance.

16) How many awards does USGS expect to make?

USGS expects to make one award.

17) What is the maximum funding amount available?

The award ceiling (maximum funding amount) is $49,995.

18) What does the relatively small award ceiling suggest about project size?

Based on the stated ceiling, this appears to be a small, targeted project or a scoped phase of a larger research and development agenda, rather than a large multi-year implementation effort.

19) Is this opportunity described as discretionary?

Yes. It is categorized as a discretionary opportunity.

20) What is the application timeline provided?

The opportunity was created on June 5, 2026. The original application closing date is July 5, 2026, which indicates a relatively short submission window.

21) What is the main practical benefit USGS is trying to achieve with this work?

The practical aim is to make hydrology and elevation data easier to discover, interpret, integrate, and use across tools and agencies by improving semantic description, machine-readable connections, and AI-ready interoperability.

22) How does this work support cross-agency or cross-tool use of data?

By organizing and describing datasets with consistent semantics (shared vocabularies, ontologies, knowledge graphs, rich metadata, and explicit relationships), data can be connected more reliably across publishing and consuming systems, supporting integration and reuse.

23) What kinds of improvements might GeoAI support in this infrastructure?

The opportunity mentions GeoAI-enabled capabilities such as smarter data discovery, automated quality checks, feature extraction, reasoning across linked information, and improved interoperability among systems.

24) Does the opportunity indicate any specific expected deliverable format?

No specific deliverable format is stated in the provided description. The focus is described at a technical theme level (semantically enriched, GeoAI-enabled data infrastructure for hydrology and elevation).

25) Why is the CESU limitation important for applicants?

Because eligibility is restricted to participating partners in the North Atlantic Coast CESU, the CESU limitation determines who can submit an application at all. Non-partners are not eligible under the opportunity as described.