Federal contract award
W911NF24C0019
RESEARCH AND ANALYSIS "COMPUTATIONAL MODELING FOR TEAM-BASED ASSIGNMENT"
Award details
Obligations, current value and potential value describe different measures; they are never added together.
| Field | Reported value |
|---|---|
| Agency | Department of Defense |
| Office | W6QK ACC-APG DURHAM |
| NAICS | 541715 — Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology) |
| PSC | AJ12 — GENERAL SCIENCE AND TECHNOLOGY R&D SERVICES; GENERAL SCIENCE AND TECHNOLOGY; APPLIED RESEARCH |
| Parent award / vehicle | Not reported |
| Set-aside | NO SET ASIDE USED. |
| Pricing type | COST PLUS FIXED FEE |
| Obligations | $909.5K |
| Current contract value | $909.5K |
| Potential contract value / ceiling | $909.5K |
| Start date | Apr 4, 2024 |
| Current end date | Jun 8, 2027 |
| Potential end date | Jun 8, 2027 |
| Latest award activity | Jun 2, 2026 |
| Source loaded | Sep 19, 2026 |
Funding and modification history
Showing the latest 8 of 8 loaded transactions. Negative values are deobligations.
| Date | Modification | Obligation change | Description |
|---|---|---|---|
| Jun 2, 2026 | P00007 | $308.0K | THE PURPOSE OF THIS RESEARCH IS TO USE COMPUTATIONAL MODELING APPROACHES TO TEAM COMPOSITION THEORY TO ALLOW RESEARCHERS TO EVALUATE TEAM-BASED ASSIGNMENT FRAMEWORKS WITHOUT RELYING ON DATA COLLECTION. |
| Feb 20, 2026 | P00006 | $0 | THE PURPOSE OF THIS RESEARCH IS TO USE COMPUTATIONAL MODELING APPROACHES TO TEAM COMPOSITION THEORY TO ALLOW RESEARCHERS TO EVALUATE TEAM-BASED ASSIGNMENT FRAMEWORKS WITHOUT RELYING ON DATA COLLECTION. |
| Sep 3, 2025 | P00005 | $0 | THE PURPOSE OF THIS RESEARCH IS TO USE COMPUTATIONAL MODELING APPROACHES TO TEAM COMPOSITION THEORY TO ALLOW RESEARCHERS TO EVALUATE TEAM-BASED ASSIGNMENT FRAMEWORKS WITHOUT RELYING ON DATA COLLECTION. |
| May 14, 2025 | P00004 | $254.7K | THE PURPOSE OF THIS RESEARCH IS TO USE COMPUTATIONAL MODELING APPROACHES TO TEAM COMPOSITION THEORY TO ALLOW RESEARCHERS TO EVALUATE TEAM-BASED ASSIGNMENT FRAMEWORKS WITHOUT RELYING ON DATA COLLECTION. |
| Apr 11, 2025 | P00003 | $0 | COMPUTATIONAL MODELING FOR TEAM-BASED ASSIGNMENT |
| Mar 26, 2025 | P00002 | $0 | NO COST EXTENSION FOR RESEARCH IN COMPUTATIONAL MODELING FOR TEAM-BASED ASSIGNMENT. |
| Nov 19, 2024 | P00001 | $0 | RESEARCH AND ANALYSIS "COMPUTATIONAL MODELING FOR TEAM-BASED ASSIGNMENT" |
| Apr 4, 2024 | 0 | $346.7K | RESEARCH AND ANALYSIS "COMPUTATIONAL MODELING FOR TEAM-BASED ASSIGNMENT" |
Estimated positioning window
Nov 1, 2026 – Jan 30, 2027
70/100
Why this recompete signal
Contract timing and recorded acquisition signals at the time of calculation.
Stored score: 70/100. Available recorded signals: 65 points.
- Contract end 2027-06-08 (219 days from calculation)
- +35 points
- 76 historical awards in this buyer and category group
- +15 points
- 8 recorded award transactions
- +10 points
- Latest award action: 2026-06-02
- +5 points
- Parent award identifier recorded
- +0 points
- Solicitation identifier recorded
- +0 points
- Linked official forecast
- +0 points
- Calculated on
- 2026-11-01 10:17:53.997580+00:00
The historical group combines buyer, NAICS, and PSC. Multiple awards in this group do not by themselves establish repeated competitions.
Rule-based research score; it does not measure your chance of winning.
This older calculation does not retain a complete reproducible breakdown. Missing or changed inputs are not assigned invented points: Original award-value bonus input.
Recompete score calculated Nov 1, 2026.
Research next steps
- Check the linked forecast or SAM for a confirmed solicitation and current timing.
- Check the stated set-aside against the solicitation and current certifications.
- Review the award scope and buyer evidence before making a bid/no-bid decision.