This Sources Sought opportunity from Department Of Transportation was posted on June 15, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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UPDATE AND ENHANCE JOBMOD 4.0 TOOL, Federal Highway Administration (FHWA)

Closed

693JJ326JOBMOD4Federal

Submission Closed07/07/2026, 06:00:00 PM UTC

Contract Overview

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

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NAICS: 541720

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AI Contract Overview

The Federal Highway Administration is seeking market insight through a Request for Information to modernize its JOBMOD economic modeling tool from a legacy Microsoft Excel-based system to a fully Python-based platform using Py-Shiny for enhanced automation, transparency, and usability. This initiative aims to replace the current JOBMOD 3.1 model, which relies on hard-coded spreadsheets, with a more robust, maintainable system that integrates the latest Bureau of Economic Analysis input-output tables, Bureau of Labor Statistics compensation data, and highway construction cost information from sources like BidTabs and RS Means. The new JOBMOD 4.0 will automate data ingestion, refine technical coefficients for highway improvement categories using Financial Management Information System data, and deliver an interactive dashboard for parameter adjustment and visualization, ensuring stakeholders can easily interpret employment impact estimates tied to federal highway spending. The model will be designed to support policy analysis during economic downturns and workforce planning during periods of labor scarcity. Interested parties must submit a five-page Capability Statement, excluding resumes, demonstrating their ability to meet technical requirements including Python software development, economic modeling expertise, dashboard creation with Py-Shiny, and full compliance with Section 508 accessibility standards. Applicants must identify their SAM/Unique Entity ID, confirm their size status under NAICS code 541720, and declare any applicable socio-economic classifications such as Small Business, 8(a), or SDVOSB status. The team must include at least one individual with proven experience in applying input-output models and at least one developer with a documented history of building Python-based analytical tools and interactive dashboards. All responses must be submitted by July 7, 2026, to the designated points of contact. The eventual contract, if issued, will be a Firm-Fixed-Price task order with a twelve-month performance period to be carried out at the contractor’s facility, requiring comprehensive documentation, regular biweekly status meetings, monthly progress reports, and formal meeting minutes submitted within two business days after each meeting. The contractor will be responsible for testing and ensuring all deliverables—including reports, policy briefs, and web interfaces—meet federal publishing standards and full Section 508 compliance, and must promptly disclose any organizational conflicts of interest.

General Info

FHWA seeks contractors to modernize JOBMOD, transitioning economic model from Excel to Python with dashboard.

Agency

Department Of Transportation → 693JJ3 Acquisition And Grants Mgt

NAICS

541720 - Research and Development in the Social Sciences and Humanities

Place of Performance

DC, USA

Set-Aside

NONE

Documents

DOT FHWA JOBMOD 4.0 Performance Work Statement

pws

High

AI Contract Breakdown

Uniform Contract Format

Timeline

PhaseClosed

PostedJun 15

Sources Sought

Response DeadlineJul 7

Deadline has passed

Submission Closed

07/07/2026, 06:00:00 PM UTC

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Organization & Contact Information

AgencyDepartment Of Transportation → 693JJ3 Acquisition And Grants Mgt

Contacts2 people available

OfficeWASHINGTON, DC, 20590, USA

Organization / AgencyDepartment Of Transportation → 693JJ3 Acquisition And Grants Mgt

Office AddressWASHINGTON, DC, 20590, USA

Contacts

Carolyn Lethert

Franzese Donna

Full Description

This is a request for information for a Federal Highway Adminstration (FHWA) requirement to "Update and Enhance JOBMOD 4.0 Tool" from Microsoft Excel to a Python-based platform.

SUBMITTAL INFORMATION

ISSUE DATE: June 15, 2026
DUE DATE FOR RESPONSES: July 7th, 2026
SUBMIT RESPONSES TO: contact@example.gov and contact@example.gov
SUBMIT QUESTIONS TO: contact@example.gov and contact@example.gov

1. INTRODUCTION

Request for Information. This is NOT a solicitation for proposals, proposal abstracts, or quotations. The Federal Highway Administration (FHWA), Office of Transportation Policy Studies (HPL), is conducting a market survey to identify potential sources for an anticipated contract to update and modernize the JOBMOD tool.

2. BACKGROUND

FHWA has a long history of developing methodologies, such as the JOBMOD input-output economic model, to assess the employment impacts of highway construction spending.

Model Foundation: JOBMOD estimates employment vacancies supported by federal-aid highway construction based on the U.S. Commerce Department’s Benchmark Input-Output Accounts, modified for highway-specific labor and material usage.
Evolution of JOBMOD:
- JOBMOD 1 (2003): Introduced three employment components: Direct (on-site construction and materials), Indirect (supplier industries like steel and finance), and Induced (consumer spending by employees).
- JOBMOD 2 (2005/2007): Refined the methodology using BLS employment cost indices to account for wage inflation and defined a "job" as a Full-Time Equivalent (FTE) of 40 hours per week.
- JOBMOD (ARRA) (2009): Developed to assess projects under the American Recovery and Reinvestment Act; it remains the most rigorously evaluated model in the series.
- JOBMOD 3.1 (Current): Integrated "Buy American" import penetration analysis and first-year employment realization estimates.
Policy Applications: The model is used to estimate highway expenditures as economic stimulus during recessions and to identify potential workforce shortfalls when the economy is near full employment.
Need for Modernization: While functional, JOBMOD 3.1 is a spreadsheet-based tool with hard-coded data and limited transparency. FHWA aims to move this workflow into a Python environment using Py-Shiny to automate analysis and reduce manual errors.

3. SCOPE

The Contractor shall provide all personnel, equipment, and services necessary to develop JOBMOD 4.0, a transparent tool that utilizes the latest Bureau of Economic Analysis (BEA) I-O tables, BLS National Compensation Survey data, and highway construction cost data. Key objectives and requirements include:

I-O Account Updates: The Contractor shall update input-output accounts to the latest available version, ensuring seamless integration into JOBMOD.
Technical Coefficient Refinement: The Contractor shall review and refine technical coefficients for each highway improvement category, incorporating updated cost breakdowns based on BidTabs data and other relevant data sources.
Framework Implementation: The Contractor shall implement FHWA-approved improvements, ensuring consistency with JOBMOD’s employment estimation framework. Improvement types will be provided by FHWA based on the Financial Management Information System (FMIS).
Python Development: Develop a transparent, Python-based model with centralized input sheets for easy data updates.
Dashboard Implementation: Implement a user-friendly Py-Shiny dashboard for data visualization and parameter adjustment.
Documentation: Deliver comprehensive documentation to ensure FHWA staff can operate and maintain the model independently.
Performance Details:

Period of Performance: Twelve (12) months from the date of award.
Contract Type: Firm-Fixed-Price (FFP).
Place of Performance: Contractor’s facility.

4. REQUESTED CONTENT OF RESPONSES TO THIS RFI

Interested organizations are invited to submit a Capability Statement (maximum 5 pages excluding resume) identifying the following:

4.1 Corporate Information

Name, Address, Point of Contact include phone and email, SAM / Unique Entity ID
Size Standard under NAICS code 541720 - Research and Development in the Social Sciences and Humanities
Socio-economic classifications (e.g., Small Business, 8(a), SDVOSB) .
Applicable governmentwide vehicle name and numbers (e.g., GSA OASIS+) and a clear statement if this work can be performed under the listed vehicle.

4.2 Technical Capabilities and Relevant Experience

Describe technical capabilities to perform the tasks in the draft Performance Work Statement (PWS), specifically:

Modernization: Designing a Python-based system from the ground up to replace legacy spreadsheets.
Data Automation: Implementing workflows to automatically gather and verify BEA, BLS, BidTabs data and other relevant software such as RS Means.
Economic Engineering: Calculating new economic coefficients based on highway improvement categories that are based on Financial Management Information System (FMIS).
Interface Development: Building interactive web dashboards using Py-Shiny for data visualization.
Section 508 Compliance: Ensuring all digital products meet accessibility standards.

4.3 Representative Resumes

The Contractor shall ensure that all personnel assigned to this effort possess the professional credentials, technical skills, and experience necessary to fulfill the requirements of the PWS. The project team must have at least one personnel member who has documented experience in economic analysis, specifically regarding the application and execution of Input-Output (I-O) models. Additionally, the team shall include at least a computer programmer/developer with a proven track record of designing, developing, and deploying Python tools and interactive dashboards using the Shiny for Python framework. Provide information/resumes showing the ability to demonstrate compliance with these experience requirements.

4.4 Relevant Similar Projects

Provide information on company past experiences related to economic modeling, Python software development, or transportation-related data analysis. Please note if the listed experiences supported the federal government or another type of entity. Also note the period of performance of any listed experiences.