Opportunity Information: Apply for G17AS00131
The U.S. Geological Survey (USGS), within the Department of the Interior, released a discretionary funding opportunity under the Californian Cooperative Ecosystem Studies Unit (CESU) network to support a focused research project on geotechnical earthquake ground deformations. The award is structured as a cooperative agreement, meaning the USGS expects to have substantial involvement during the project rather than simply issuing a grant and stepping back. The opportunity was published on August 23, 2017, and originally closed on September 8, 2017. It anticipated making a single award with a maximum funding level (award ceiling) of $50,000.
Eligibility is limited to partners within the CESU framework (the notice lists eligible applicants as "Others" with clarification in an additional eligibility field), which generally points to institutions that are already part of the CESU partnership such as certain universities, research organizations, and other qualified non-federal entities that participate in CESU collaborative research. The program is tied to CFDA number 15.808 and is categorized under Science and Technology and other Research and Development, signaling that the work is expected to be technical, research-driven, and aimed at advancing methods or understanding rather than delivering routine services.
The core of the opportunity is a two-part, integrated research effort aimed at improving how earthquake-related ground deformation is characterized and modeled in geotechnical contexts. The first element emphasizes non-invasive computational imaging of geotechnical earthquake ground deformations. In practical terms, this points to research that can infer subsurface conditions and deformation patterns without intrusive excavation or drilling, using imaging approaches that rely on surface or near-surface measurements combined with computational reconstruction methods. The goal implied by this element is to develop or refine techniques that can capture how soils and near-surface materials deform during earthquake loading, potentially improving detection, interpretation, and mapping of deformation features while minimizing disruption to the site.
The second element focuses on surface wave modeling of geotechnical earthquake ground deformations (the description mentions surface wave modeling as part of the two-joined elements). This component is aimed at modeling how seismic surface waves propagate through near-surface geologic materials and how that wave behavior relates to ground deformation and geotechnical response. Surface waves are particularly relevant because they can strongly influence shaking intensity and damage near the ground surface, and they are commonly used in geophysics to estimate subsurface shear-wave velocity structures. By linking surface wave modeling to geotechnical deformation outcomes, the work is positioned to strengthen predictive capability for earthquake-induced ground changes, such as strain localization, settlement, lateral spreading, or other deformation mechanisms relevant to hazards and infrastructure performance.
Overall, the opportunity is narrowly scoped and research-oriented, supporting one CESU partner to conduct a cohesive project that bridges advanced, non-invasive imaging methods with surface wave modeling to better understand, measure, and predict geotechnical ground deformations caused by earthquakes. The small, single-award funding level suggests a pilot study, method-development effort, or targeted investigation intended to produce useful tools, models, or findings that the USGS can apply to earthquake hazards science and related risk-reduction work.Apply for G17AS00131
- The Department of the Interior, Geological Survey in the science and technology and other research and development sector is offering a public funding opportunity titled "Cooperative Ecosystem Studies Unit, Californian CESU" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.808.
- This funding opportunity was created on Aug 23, 2017.
- Applicants must submit their applications by Sep 08, 2017. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $50,000.00 in funding.
- The number of recipients for this funding is limited to 1 candidate(s).
- Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification).
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