Opportunity Information: Apply for DE FOA 0001955
The Predictive Science Academic Alliance Program III (PSAAP III) is a National Nuclear Security Administration (NNSA) opportunity under the U.S. Department of Energy that focuses on growing and strengthening simulation-based predictive science at U.S. research universities. The core idea is to expand national awareness of predictive, high-end simulation as a scientific discipline and to build deeper capacity for large-scale, computation-driven research, training, and education. In practical terms, PSAAP III is aimed at universities that can develop and sustain advanced modeling and simulation efforts, educate graduate students and researchers in those methods, and contribute knowledge that supports NNSA mission needs.
A central emphasis of the program is the role of research universities as engines of both basic and applied research, and as training grounds for the highly skilled workforce needed for complex national security science. The opportunity limits eligibility to Ph.D.-granting institutions (specifically, public and state-controlled institutions of higher education listed as eligible applicants), reflecting the expectation that the work requires a mature graduate research environment where intensive intellectual training and long-horizon research programs are realistic. The solicitation frames this university-based investment as having broader economic value as well, since it develops expertise, methods, and people that can spill over into the wider scientific and engineering workforce.
Another key feature is the link between academia and NNSA laboratory resources. PSAAP III is designed to increase academic access to unique experimental facilities located at NNSA laboratories, encouraging hands-on collaborations and research partnerships. The program especially highlights collaborations relevant to stockpile stewardship, which is the science-based approach NNSA uses to ensure the safety, security, and reliability of the U.S. nuclear stockpile without nuclear explosive testing. That framing implies interest in rigorous predictive modeling, verification and validation practices, uncertainty quantification, and the ability to connect simulations to experimental data and observations, all at scales that matter for real-world national security applications.
Administratively, the opportunity is listed as a discretionary funding action with a cooperative agreement as the intended funding instrument, meaning awardees should expect substantial federal involvement compared to a standard grant (for example, closer collaboration, coordination, or shared planning with the agency and/or laboratories). It falls under the Science and Technology and other Research and Development activity category and is associated with CFDA number 81.124. The funding opportunity title is "Predictive Science Academic Alliance Program III" with opportunity number DE-FOA-0001955. The posting indicates it was issued as a Request for Information (RFI), created on June 29, 2018, with an original closing date of July 30, 2018. The source fields also show an award ceiling of 1 and expected awards of 0, which is consistent with an RFI posture rather than a typical proposal-and-award competition, since RFIs are commonly used to collect input, gauge community capability, and shape a future funding announcement rather than make immediate awards.Apply for DE FOA 0001955
- The Department of Energy, NNSA in the science and technology and other research and development sector is offering a public funding opportunity titled "Predictive Science Academic Allance Program III" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 81.124.
- This funding opportunity was created on Jun 29, 2018.
- Applicants must submit their applications by Jul 30, 2018. (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 $1.00 in funding.
- Eligible applicants include: Public and State controlled institutions of higher education.
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