Compositional Learning-And-Reasoning for AI Complex Systems Engineering (CLARA)

The DARPA Disruption Opportunity (PA‑25‑07) seeks proposals that develop new, high‑assurance approaches that tightly compose selected machine‑learning (ML) and augmented‑reasoning (AR) techniques. Proposers must focus on a single Technical Area; for Technical Area 1 (TA1) the effort is to create one or more novel ML/AR methods that can generate, explain, and decompose Course‑of‑Action (COA) plans (e.g., threat‑assessment prediction plus target‑decision reasoning) or support multi‑condition medical guidance (treatment‑action effect predictions). Demonstrations may use unclassified proxies such as non‑military games. An Independent Verification & Validation (IV&V) team will be competitively procured separately to review deliverables. The solicitation expects fundamental research and does not impose publication restrictions, though non‑fundamental proposals may be accepted if modified to meet the research focus. All submissions must use the DARPA‑PA‑25‑07 templates and the Streamlined Cost Buildup Workbook (TA1 or TA2), identify labor categories, performance periods, and direct‑labor hours, and comply with fee‑calculation rules (no profit/fee on equipment, DD Form 1547 for fee). Abstracts are optional but encouraged; questions must be submitted in English to the CLARA email address, and UARCs/FFRDCs should contact the program point of contact before the abstract due date.

Notice ID

0e76cc6102804ab68667605d9e28c900

Solicitation Number

DARPA-PA-25-07-02

NAICS Code

541715

Classification Code

AC11