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Computational Modeling for Team-Based Assignment

Active
Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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This subcontract, titled Computational Modeling for Team-Based Assignment, supports the Department of Defense through the W6QK Acc-Apg Durham agency. The primary objective is to develop mathematical models and algorithms designed to optimize team staffing and composition for prime contractors working on US Army Research Office projects. This involves creating computational models to predict team performance, developing assignment algorithms, and utilizing high-performance computing clusters and specialized software to conduct simulations that test staffing theories. The project deliverables include technical reports, algorithmic frameworks, and computational models. Classified under NAICS code 541511, the contract was posted on July 7, 2026, with a response deadline of May 1, 2028.

General Info

DoD subcontract for developing computational models to optimize team staffing and performance.

NAICS

541511 - Custom Computer Programming Services

Place of Performance

NC

Set-Aside

NONE

Documents

This scope was carved out of W911NF-23-S-0010.

The full solicitation package (41 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

UNITED STATES ARMY RESEARCH INSTITUTE FOR THE BEHAVIORAL AND SOCIAL SCIENCES (ARI) BROAD AGENCY ANNOUNCEMENT FOR BASIC, APPLIED, AND ADVANCED SCIENTIFIC RESEARCH

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Organization & Contact Information

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AgencyDepartment Of Defense → W6QK Acc-Apg Durham
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Performs development of mathematical models and algorithms to optimize team staffing and composition for prime contractors on US Army Research Office (ARI) projects. Develops computational models to predict team performance, creates assignment algorithms, and conducts simulations to test staffing theories using high-performance computing (HPC) clusters and specialized modeling software. Delivers computational models, algorithmic frameworks, and technical reports.

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