CRS - Data Analysis Model Development 2025

The Library of Congress Congressional Research Service (CRS) is seeking a contractor to develop and enhance data analysis models and tools to support CRS's research capabilities through solicitation 030ADV25R0130. The procurement focuses on expanding quantitative analytical methods using artificial intelligence, machine learning, and natural language processing technologies within the existing AWS cloud environment. Contractors must be U.S. citizens and will work on enhancing seven existing data science models across various CRS divisions, including Department of Defense budget analysis, appropriations tracking, workforce information systems, student loan calculations, and health insurance pricing. The contract will be evaluated based on technical approach and staffing (most important factor), past performance, and price, with all work required to comply with federal security standards including FedRAMP compliance and Section 508/WCAG accessibility requirements. The original proposal deadline was July 3, 2025 at 12pm EDT, though the solicitation notice indicates a July 9, 2025 due date.

This procurement does not utilize any set-aside designations and is being conducted on an unrestricted basis with no evaluated preference for different socioeconomic status. The incumbent contractor was DSQUORUM LLC, with the previous contract valued at $1,716,334.94, while the current solicitation has a total allocated budget of $2 million. The contract structure is firm-fixed-price with a base period from September 16, 2025 to September 15, 2026, and the Library anticipates approximately eight full-time equivalents (FTEs) for this effort. Multiple optional task areas are included such as training sessions, quarterly forums, reporting on external data advances, and enhancements to existing data tools. The place of performance is Washington, DC 20540, with requirements for hybrid training sessions and ongoing support within the CRS data science and modernization framework.