# 3) Chemical Biological Radiological Nuclear Situational Awareness

**R-2A activity** of project UN3 — Understand (ATD)  
**Program element:** 0603384BP — Chemical and Biological Defense Program - Advanced Development  
**Component:** Defense-Wide · **Budget Activity:** 3  
**Vintage:** President's Budget PB2027  
**Canonical URL:** https://hitchintel.com/programs/0603384BP/UN3/a2  
**Parent:** https://hitchintel.com/programs/0603384BP/UN3

## Summary

This activity requests $12.9M in FY2027, 14% of project UN3, up 132% on FY2026. The R-2A exhibit describes it across FY2025–FY2027, including what the FY2027 money is planned to buy.

## What the FY2027 request buys

**FY2027 planned work.** - Continue enhancements of the Chemical and Biological (CB) DevSecOps digital environment by advancing artificial intelligence (AI) and machine learning (ML) based data analytics and automation to increase the efficiency and rate at which modeling capabilities can be developed and enhanced. - Further enhance the performance of Transport and Dispersion (T&D) models through the continuous integration of threat data, for urban environments, and for hazard releases from novel platforms. - Continue to enhance infectious disease epidemiological modeling and human health effects modeling for disease prediction, forecasting, medical planning, and treatment courses of action. - Enhance Virtual CB mission rehearsal technologies, making them easily configurable, and adding in site-specific and synthetic laboratory environments. - Continue to enhance and automate computer vision technologies to support semi-autonomous and autonomous systems for CB battlespace management and threat mitigation.

**FY2026 to FY2027 change.** Program/project funding transferred from another funding line. Increase due to funding shift from UN2 CBRN Situational Awareness to UN3 CBRN Situational Awareness to accelerate science and technology efforts for transitions.

## Before the request year

**FY2026 plans — current year.** - Initiate the enhancements of the Chemical and Biological (CB) Development, Security, and Operations (DevSecOps) digital environment by advancing artificial intelligence (AI) and machine learning (ML) based data analytics and automation to increase the efficiency and rate at which modeling capabilities can be developed and enhanced. - Continue to enhance the performance of Transport and Dispersion (T&D) models through the continuous integration of threat data, for urban environments, and for hazard releases from novel platforms. - Continue work to ingest and store disparate chemical and biological (CB) threat datasets and initiate data handling and transformation efforts to the Chemical and Biological Defense Program (CBDP) enterprise and develop a prototype software to support and inform operational medical decision support. - Continue to enhance infectious disease epidemiological modeling and human health effects modeling for disease prediction, forecasting, medical planning, and treatment courses of action. - Continue to enhance and automate CB situational awareness capabilities for integration into Heads Up Display (HUD) technologies for tactical use.

**FY2025 accomplishments.** - Completed the development of a Chemical and Biological (CB) Defense Digital Laboratory capability encompassing a Development, Security, and Operations (DevSecOps) environment for end-to-end Artificial Intelligence (AI)/Machine Learning (ML) data analysis, model development and training, and agile software development. - Enhanced the performance of Transport and Dispersion (T&D) models, particularly for urban environments and for hazard release from drone platforms and alternate types of delivery mechanisms. - Continued work to ingest and store disparate chemical and biological threat datasets and advanced analytic development to support the Chemical and Biological Defense Program (CBDP) medical enterprise. - Enhanced comprehensive infectious disease epidemiological modeling applications for disease prediction, forecasting, medical planning and treatment. - Continued to enhance CB situational awareness capabilities for integration into Heads up Display (HUD) technologies for tactical use.

## Funding

| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2025 | Actual | 5.2 |
| FY2026 | Enacted | 5.6 |
| FY2027 | Request | 12.9 |

> Prior, current and budget year only — an R-2A activity carries no five-year plan. It sums exactly into its project in the request year and not necessarily in any other.

## Other activities in project UN3

- [12) Operational Chemical Sensing - Chemical Detection](https://hitchintel.com/programs/0603384BP/UN3/a11) — FY2027 16.9
- [7) Operational Diagnostics](https://hitchintel.com/programs/0603384BP/UN3/a6) — FY2027 13.1
- 9) Diagnostic Building Blocks — FY2027 7.8
- 11) Emerging and Enhanced Biothreat Sensing - Waste Water Surveillance — FY2027 7.5
- 13) Modernized and Enhanced Chemical Sensing - Chemical Detection — FY2027 7.5
- 2) Chemical Biological Radiological Nuclear Decision Aids — FY2027 7.3
- 16) Emerging and Enhanced Biothreat Sensing - Biological Detection — FY2027 7.1
- 1) Chemical Biological Radiological Nuclear Battlespace Sensing, Alerting, and Response — FY2027 5.8
- 10) Emerging Threats — FY2027 1.9
- 15) Operational Biological Sensing - Biological Detection — FY2027 1.5
- 14) Unconventional Detection Modalities - Chemical Detection — FY2027 1.0
- 8) Clinical Evaluation — FY2027 1.0
- 4) Chemical Biological Radiological Nuclear Battlespace Sensing, Alerting, and Response - Enhanced Biological Defense — FY2027 0.8
- 6) Chemical Biological Radiological Nuclear Situational Awareness - Enhanced Biological Defense — FY2027 0.8
- 5) Chemical Biological Radiological Nuclear Decision Aids - Enhanced Biological Defense — FY2027 0.5
- 17) Unconventional Detection Modalities - Biological Detection — FY2027 —

## Source & machine access

- **Source:** FY2027 Office of the Secretary of Defense RDT&E Budget Justification, Exhibit R-2A, PE 0603384BP project UN3 (PB PB2027). Narrative is the government's own text.
- **No marks, no contractors at this grain** — congressional marks land on the program element and R-3 performers on the project.
- **MCP:** `mcp.hitchintel.com` — `budget_get_activity`.

*HitchAI is an independent intelligence service, not affiliated with the U.S. Department of Defense. Budget figures are requests/estimates, not obligations.*