Description
The Federal Highway Administration (FHWA) is seeking information to update and enhance the JOBMOD 4.0 tool, a Python-based platform that estimates employment vacancies supported by federal-aid highway construction spending. The tool is based on the U.S. Commerce Department's Benchmark Input-Output Accounts, modified for highway-specific labor and material usage. The contractor will be responsible for designing and building a new, Python-based JOBMOD system from the ground up, integrating BEA, BLS, and BidTabs data with a Py-Shiny user interface. The contractor will also provide technical support, including technical memorandums and ad hoc written responses to inquiries related to JOBMOD 4.0.
Some key features of the project include:
* Updating input-output accounts to the latest available version
* Reviewing and refining technical coefficients for each highway improvement category
* Implementing FHWA-approved improvements, ensuring consistency with JOBMOD's employment estimation framework
* Developing a transparent, Python-based model with centralized input sheets for easy data updates
* Implementing a user-friendly Py-Shiny dashboard for data visualization and parameter adjustment
* Delivering comprehensive documentation to ensure FHWA staff can operate and maintain the model independently