What the FY2027 request buys
Verbatim from the R-2A exhibit for project UN2 of PE 0602384BP. 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.
- Maintain and expand core host response characterization capabilities, predictive/in silico tools, and technologies for CB agent characterization, both computer-based as well as in living tissues – emphasizing the use of organ-on-a-chip technologies when possible. - Continue empirical studies addressing host response gaps for traditional and advanced CB agents identified by gap analyses. Maintain and expand characterization capabilities and expertise by tackling traditional gaps increasing capacity and pre-positioning expertise to any emerging CB threat. -Continue refinement of human effects estimates for additional CB agents providing high fidelity data to protect the warfighter against CB threat exposure. -Maintain and expand upgrades for computer-based prediction of physical and toxicological properties for chemical compounds and continue to assess the host responses to mixed agents and novel/emerging threats.
Program/project funding transferred from another funding line. Funding transferred from Project EN2/Enabling Investments Enabling Science thrust area to Project UN2/Understand Host Response thrust area to expand host response characterization of biological agents of concern.
FY2025–FY2026: what came before
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.
- Continue studies to address host response areas for traditional CB agents that earlier gap analyses have identified with methodologies that are also directly applicable to any emerging CB threat. - Continue to implement improvements and upgrades for artificial intelligence/machine learning (AI/ML) based prediction of physical and toxicological properties as one key new tool and continue to assess the body’s response to mixed agents and any novel/emerging threats. - Incorporate AI/ML predictions to refine in vitro and in vivo toxicological assessment to select experimentation most likely to yield actionable results.
- Augmented predictive methods and technologies for CB agent characterizations, both computer-based as well as in living tissues – emphasized the use of organ-on-a-chip technologies to replace older methodologies. - Continued empirical studies addressing host response gaps for traditional and advanced CB agents identified by gap analyses. Augmented characterization capabilities and expertise by tackling traditional gaps increasing capacity and pre-positioning expertise to tackle any emerging CB threat. - Finalized refinement of human health estimates for key CB agents providing high fidelity data to protect the warfighter against CB threat exposure. - Implemented improvements and upgrades for computer-based prediction of physical and toxicological properties for chemical compounds and continued to assess the host responses to mixed agents and novel/emerging threats.
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.
| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2025 | Actual | 10.0 |
| FY2026 | Enacted | 12.8 |
| FY2027 | Request | 18.2 |
This activity is 19% of project UN2's FY2027 request and 8.8% of PE 0602384BP'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.
21 activities in project UN2
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.