Automated Post-Mission De-Brief and Re-Planning for Collaborative Combat Aircraft (CCA) Missions

Modern naval operations require the ability to adapt swiftly to evolving threats, especially during multi-day missions involving CCA. Current post-mission analysis is resource-intensive and often too slow to provide timely, actionable insights for subsequent engagements. This program aims to automate the post-mission debrief and re-planning process for CCA missions to enable faster, more informed decision-making. The primary objective is to develop automated capabilities for post-mission debriefing that facilitate rapid re-planning for subsequent missions. By leveraging advanced analytics, diagnostics, and algorithms, this program seeks to enhance the mission effectiveness and adaptability of CCA operations in contested environments. The solution must deliver actionable insights from mission data to inform re-planning decisions, optimizing tactics and operational parameters in real-time for the next engagement. The solution will concentrate on developing algorithms and tools to analyze mission data, identify key performance metrics, characterize uncertainty, and generate explainable recommendations for subsequent mission planning. The main areas of emphasis include: • Blue Force Optimization: Refining the operational parameters, autonomy behaviors, algorithms, task allocation, routing, tactics, and employment concepts of collaborative combat aircraft based on mission outcomes. Recommendations should identify expected mission benefits, survivability implications, operational constraints, and confidence in the projected result. • Red Force Modeling: Improving mission planning and execution through analysis of adversary tactics, capabilities, threat profiles, observed behaviors, and likely future course of action. The solution should identify uncertainty in Red Force assessments and provide alternative threat interpretations where the available evidence does not support a single high-confidence conclusion. • Autonomous Re-Planning: Use machine learning, data analytics, optimization and decision-support methods to generate and compare potential follow-on mission plans based on real world outcomes and lessons learned. The solution should recommend multiple feasible courses of action, identify associated confidence levels and operational tradeoffs, and provide traceable rationale to support operator review and approval. This effort will also seek to answer the following critical questions: • What data points are most crucial for effective post-mission analysis and re-planning? • How can systems be designed to enable rapid, iterative updates to mission plans? • What mechanisms are most effective for selecting and adapting algorithms in real-time based on the available data? By tackling these challenges, the program aims to create a framework that streamlines post-mission analysis and enables rapid, intelligent re-planning for CCA missions. This will ultimately enhance the effectiveness and survivability of naval assets in high-stakes environments. Work produced in Phase II may become classified. Note: The prospective contractor(s) must be U.S. owned and operated with no foreign influence as defined by 32 U.S.C. § 2004.20 et seq., National Industrial Security Program Executive Agent and Operating Manual, unless acceptable mitigating procedures can and have been implemented and approved by the Defense Counterintelligence and Security Agency (DCSA) formerly Defense Security Service (DSS). The selected contractor and/or subcontractor must be able to acquire and maintain a secret level facility and Personnel Security Clearances. This will allow contractor personnel to perform on advanced phases of this project as set forth by DCSA and NAVAIR in order to gain access to classified information pertaining to the national defense of the United States and its allies; this will be an inherent requirement. The selected company will be required to safeguard classified material during the advanced phases of this contract IAW the National Industrial Security Program Operating Manual (NISPOM), which can be found at Title 32, Part 2004.20 of the Code of Federal Regulations.