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Objective Prediction of Team Effectiveness via Models of Performance Outcomes (OP TEMPO) is sponsored by DARPA. The OP TEMPO program aims to provide DoD instructors with data-driven capabilities to support real-time assessment, after-action review, performance diagnostics, and objective prediction of teaming proficiency and mission readiness.
The effort will identify and characterize bio-behavioral signatures, such as heart rate variability and communication dynamics, that correlate to team performance outcomes, and leverage unobtrusive sensor suites to accurately and reliably measure these signatures during real-world training.
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Or search similar grants →According to the current listing, eligibility includes: Proposers are typically small businesses responding to a Broad Agency Announcement (BAA). Confirm the full requirements in the official notice before applying.
Objective Prediction of Team Effectiveness via Models of Performance Outcomes (OP TEMPO) is funded by DARPA. Verify program details on the funder's official page before applying.
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DARPA DSO Office-Wide BAA for Defense Sciences and AI is a grant from DARPA's Defense Sciences Office (DSO) that funds basic and applied research proposals in defense sciences and artificial intelligence that may fall outside current program priorities but have potential value to national security. DARPA's primary funding vehicle is the Broad Agency Announcement (BAA), which is open to all responsible proposers from universities, commercial companies, nonprofits, and research institutions. The office-wide BAA is refreshed annually and outlines current technical areas of interest. The deadline for proposals is June 2, 2026.
DARPA Tactical Technology Office BAA is a broad agency announcement from the Defense Advanced Research Projects Agency (DARPA) that invites proposals for innovative research and technology development that fall outside the scope of currently active program-specific solicitations. Open to all responsible sources, the BAA is posted to SAM.gov and refreshed annually with a deadline of June 2026. All DARPA technical offices maintain their own dedicated BAAs to capture cutting-edge ideas at every stage of development. This office-wide mechanism is intended for proposals that do not fit neatly into existing programs, making it an important entry point for novel concepts in defense-relevant science and engineering that could eventually shape future DARPA programs.
DoD Multidisciplinary Research Program of the University Research Initiative (MURI) is sponsored by Department of Defense (DoD) - Office of Naval Research (ONR). The Multidisciplinary Research Program of the University Research Initiative (MURI), administered by the Department of Defense Office of Naval Research, supports basic research in science and engineering at U. S.
SBIR SF254-D1206: Knowledge-Guided Test and Evaluation Frameworks for proliferated Low Earth Orbit Constellations is sponsored by U.S. Air Force. DOD SBIR topic SF254-D1206: Knowledge-Guided Test and Evaluation Frameworks for proliferated Low Earth Orbit Constellations. Component: U.S. Air Force. Command: SDA. Solicitation: DoD SBIR 2025.4. Phase(s): D2PII, II, SPII. Status: Pre-Release. Open date: 3/4/2026.
DPA26BZ06-DV023 is a Direct-to-Phase-II SBIR paying $700,000 over 18 months plus a $500,000 option. The physics demands 256x more transmit power than the systems that qualify you to compete, and DARPA will not accept modeling alone as proof. Here is the eligibility wall, the five engineering problems, and who can realistically win it before the October 21 close.
Read articleRelease 6's SBIR topics got the attention. Its three STTR topics — SHIELDER, fuel-flexible electric propulsion, and hypersonic wind tunnel noise diagnostics — are all Direct-to-Phase-II, all require a research institution to perform at least 30 percent of the work, and all close October 21, 2026. The feasibility gates are the real filter.
Read articleDPA26BZ06-DV026 offers $300,000 at Phase I or $1,800,000 as a single Direct-to-Phase-II tranche with no options. The deliverable is a simulated auction market that measures whether AI agents deceive, collude, or manipulate the humans they serve — measured entirely from the outside. Here is the 90% efficiency gate, the team composition most bidders will get wrong, and why this topic sits in DARPA's biology office.
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