# Request for Proposal (RFP) for Transformational Model – Battle Management Match Effectors (MEF) Decision Advantage Sprint for Human-machine teaming (DASH)

Canonical: https://abierto.us/opportunities/fa238425srhw2

- Solicitation number: FA238425SRHW2
- Notice type: Solicitation
- Status: Closed. Deadline was June 13, 2025 at 3:00 PM EDT
- Department: Department of the Air Force
- Agency: Department of the Air Force
- Contracting office: FA8650 USAF AFMC AFRL PZL Afrl/Pzl (FA8650)
- NAICS: 541715 Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Product or service code: AC11 National Defense R&D Services; Department Of Defense - Military; Basic Research
- Place of performance: Las Vegas, Nevada
- County: Clark County (FIPS 32003). https://abierto.us/counties/clark-county-nv-32003
- City: Las Vegas. https://abierto.us/cities/las-vegas-nv-3240000
- First posted: May 20, 2025
- Last posted: June 2, 2025
- SAM.gov: https://sam.gov/workspace/contract/opp/9b96a4dc85a147b1994d3050b8db9166/view

## Description

While perhaps streamlining and expediting battlespace information transport and display, current and emerging C2 systems still foist battle management decision-making on the humans. One of these decision functions is “Match Effectors” (MEF). MEF considers which units, agencies, formations, platforms, or weapon systems—individually or as pre-arranged force packages—potentially can and may achieve a particular effect, and rank-orders those potential matches.

MEF reasons over locally usable BattleEffects, Deliverables, Effectors, other IdeaElements, and uncertainties therein, to construe plausibly implementable EffectEffectorMatches, map Deliverables and Effectors to OperationalLimits, estimate contextualized measures to compare EffectEffectorMatches, estimate dynamic probability distributions over multi-parameter EffectEffectorMatch partial-orderings, and expose uncertainties, gaps, and conflicts therein.

The principal output of MEF is a partially ordered set of EffectEffectorMatches. The MEF DASH aims to answer the following core questions: How many decision opportunities are recognized/missed? How fast can the HMT make its decision? How accurate or error free are the HMT’s decisions? How confident is the human operator in the HMT’s solution? What are some technical software attributes/requirements that must be considered along with the functional requirements? Software attributes will be assessed based on HMT decision speed, correctness, completeness, and user experience. Experiment details will be distributed along with this RFP.

## Publications

- May 20, 2025: Solicitation, due June 13, 2025 at 3:00 PM EDT. Notice bec571c88db74b739e5af07d8997d844. https://sam.gov/workspace/contract/opp/bec571c88db74b739e5af07d8997d844/view
- June 2, 2025: Solicitation, due June 13, 2025 at 3:00 PM EDT. Notice 9b96a4dc85a147b1994d3050b8db9166. https://sam.gov/workspace/contract/opp/9b96a4dc85a147b1994d3050b8db9166/view

## Points of contact

- Breeana Dixon, breeana.dixon@us.af.mil

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Source: SAM.gov Contract Opportunities bulk extract. Confirm deadlines on SAM.gov before responding. Cite https://abierto.us/opportunities/fa238425srhw2.