R-2A Activity · President's Budget PB2027

Navy Studies & Analysis

FY2027 Request
$21.7M
▲ 3.1% vs FY2026
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This activity requests $21.7M in FY2027, 88% of project 2221, up 3.1% on FY2026. The R-2A exhibit describes it across FY2026–FY2027, including what the FY2027 money is planned to buy.

FY2027 Request
$21.7M
▲ 3.1% vs FY2026
FY2026 Enacted
$21.1M
▼ 1.9% vs FY2025
FY2025 Actual
$21.5M
Prior year
Planned work

What the FY2027 request buys

Verbatim from the R-2A exhibit for project 2221 of PE 0605853N. This is the budget justification's own description of work that has not happened yet — the one thing no other level of the budget carries.

FY2027 planned work

- Continue to develop, update and maintain detailed level Navy Standard scenarios based on Defense Planning Guidance, alternative scenarios in support of Defense Review guidance, Joint studies, Navy resource analyses, analytic baselines for the Major combat operation, execute analysis of designated Defense Planning Scenarios and their respective Multi-Service Force Deployment Plans, maintain a framework and common set of processes to ensure that essential elements of warfare analyses are defined and traceable to government approved source material, develop investment strategy recommendations and assessments for Program Review and Program Objective Memorandum - Continue to develop scenarios and operational concepts based on government inputs that are sufficiently detailed for use in naval and joint campaign analysis, provide analytically based decision recommendations to Chief of Naval Operations for both warfighting and support areas. - Continue to perform rigorous, time critical naval and joint campaign and mission-level analyses based on modeling and simulation. - Continue to conduct Intelligence, Surveillance, Reconnaissance, Meteorological and oceanographic systems assessments to determine the optimal mix of sensors, platforms, processing, analysis and fusion disposition and intelligence preparation of the environment - Continue to lead campaign analysis for Office of the Chief of Naval Operations and Navy's participation in OSW/Joint Staff analytic agenda, baseline development, and collection of data, develop new analytic models and techniques for informing resource allocation decisions; conduct all campaign and warfare mission-level analyses and develop investment strategies, develop medical and support Navy Medical Program decisions. - Continue to develop and improve the Navy's analytic agendas and resource-allocation decision making by refining the linkages between cost and performance-modeled programs. - Continue to focus on integrated analysis capabilities that cut across business and program accounts. Specific efforts address cyber warfare and security, optimizing the training pipeline, integrating ship maintenance and operations price performance models, and improving mission- and campaign-level Command, Control, Computers, Communications, Cyber, Intelligence, Surveillance and Reconnaissance models and representations. - Continue to conduct ship, boat, and unmanned marine vehicle concept studies in preparation for Capabilities Based Assessments and Analysis of Alternatives. Studies will be performed to support future recapitalization of Surface Combatants, Amphibious Ships, Carriers, Auxiliary Ships and other program requirements. - Continue to collaborate with Warfare Systems design experts to perform analysis at the ship and fleet level. - Continue to conduct future force structure concept formulation. Areas to be examined include interoperability concepts, force architecture impact studies, and operational employment concept studies- Utilize the LCS driver tree framework to assess the significance of different variables that may impact the number of LCSs to support operational requirements, develop advanced analytic models using machine learning techniques and Monte Carlo simulation based on the LCS Plan-2-Perform (P2P) driver tree. - Develop a prescriptive analytics model to determine the cost-minimizing driver levels to achieve a greatly increased number of mission ready LCS while reducing unplanned down days. Assess costs associated with various combinations of driver levels that would achieve target levels of performance. - Support development stages of a Digital Program Objective Memorandum tool and inflation adjustment. The Digital POM is a holistic, end-to-end effort intended to maximize Naval Power by modernizing and optimizing the Navy's investment decision processes and technologies. -Establishment of the Analytic Master Plan Tool Development in support of the Naval Force Design.

FY2026 to FY2027 change

No significant change.

Before the request year

FY2026: the year under way

Prior-year accomplishments and current-year plans from the same exhibit. Context for the FY2027 plan, not a series — an activity partitions its project exactly in the request year, but can under-cover it in earlier years.

FY2026 plans — current year

- Continue to develop, update and maintain detailed level Navy Standard scenarios based on Defense Planning Guidance, alternative scenarios in support of Defense Review guidance, Joint studies, Navy resource analyses, analytic baselines for the Major combat operation, execute analysis of designated Defense Planning Scenarios and their respective Multi-Service Force Deployment Plans, maintain a framework and common set of processes to ensure that essential elements of warfare analyses are defined and traceable to government approved source material, develop investment strategy recommendations and assessments for Program Review and Program Objective Memorandum - Continue to develop scenarios and operational concepts based on government inputs that are sufficiently detailed for use in naval and joint campaign analysis, provide analytically based decision recommendations to Chief of Naval Operations for both warfighting and support areas. - Continue to perform rigorous, time critical naval and joint campaign and mission-level analyses based on modeling and simulation. - Continue to conduct Intelligence, Surveillance, Reconnaissance, Meteorological and oceanographic systems assessments to determine the optimal mix of sensors, platforms, processing, analysis and fusion disposition and intelligence preparation of the environment - Continue to lead campaign analysis for Office of the Chief of Naval Operations and Navy's participation in OSW/Joint Staff analytic agenda, baseline development, and collection of data, develop new analytic models and techniques for informing resource allocation decisions; conduct all campaign and warfare mission-level analyses and develop investment strategies, develop medical and support Navy Medical Program decisions. - Continue to develop and improve the Navy's analytic agendas and resource-allocation decision making by refining the linkages between cost and performance-modeled programs. - Continue to focus on integrated analysis capabilities that cut across business and program accounts. Specific efforts address cyber warfare and security, optimizing the training pipeline, integrating ship maintenance and operations price performance models, and improving mission- and campaign-level Command, Control, Computers, Communications, Cyber, Intelligence, Surveillance and Reconnaissance models and representations. - Continue to conduct ship, boat, and unmanned marine vehicle concept studies in preparation for Capabilities Based Assessments and Analysis of Alternatives. Studies will be performed to support future recapitalization of Surface Combatants, Amphibious Ships, Carriers, Auxiliary Ships and other program requirements. - Continue to collaborate with Warfare Systems design experts to perform analysis at the ship and fleet level. - Continue to conduct future force structure concept formulation. Areas to be examined include interoperability concepts, force architecture impact studies, and operational employment concept studies- Utilize the LCS driver tree framework to assess the significance of different variables that may impact the number of LCSs to support operational requirements, develop advanced analytic models using machine learning techniques and Monte Carlo simulation based on the LCS Plan-2-Perform (P2P) driver tree. - Develop a prescriptive analytics model to determine the cost-minimizing driver levels to achieve a greatly increased number of mission ready LCS while reducing unplanned down days. Assess costs associated with various combinations of driver levels that would achieve target levels of performance. - Support development stages of a Digital Program Objective Memorandum tool and inflation adjustment. The Digital POM is a holistic, end-to-end effort intended to maximize Naval Power by modernizing and optimizing the Navy's investment decision processes and technologies. -Establishment of the Analytic Master Plan Tool Development in support of the Naval Force Design.

Money

Three years, and no five-year plan

An R-2A activity publishes the prior year, the current year and the budget year. The FYDP outyears exist at project and program-element level and are deliberately absent here rather than inferred. Estimate types are colored and never summed into one figure.

021.5FY25ACTUAL21.1FY26ENACTED21.7FY27REQUEST
Actual Enacted Request
Fiscal YearEstimate TypeAmount ($M)
FY2025Actual21.5
FY2026Enacted21.1
FY2027Request21.7

This activity is 88% of project 2221's FY2027 request and 17% of PE 0605853N's. In the request year the activities under a project sum to it exactly; in the current year they under-cover it in about 9% of cases, so an activity's delta can legitimately exceed its parent's and the two must not be compared row to row.

Where this sits

2 activities in project 2221

Every R-2A line of this project, largest FY2027 request first. Linked where the activity has enough of its own narrative to carry a page; the rest are shown in full on the project page.

Navy Studies & Analysis — this activity$21.7M ▲ 3%
Joint Mission Assessment Studies$2.9M ▼ 33%
Source
FY2027 Department of the Navy RDT&E Budget Justification · Exhibit R-2A · PE 0605853N, project 2221 (President's Budget PB2027). Congressional marks are recorded on the program element, never on an activity.
Machine access
Markdown twin /programs/0605853N/2221/a0.md · MCP mcp.hitchintel.combudget_get_activity