Submission Deadline 07/13/2026
Fiscal Capacity $3,000,000
HUD Grant — Key Facts
Opportunity Number PDR-2600-DC-029O
Agency HUD
Application Deadline 07/13/2026
Award Amount $3,000,000
Status Posted
Sector Default
Award Floor $300,000
Cost Sharing Not Required

Fiscal Parameters & Taxonomy

Authority HUD
Status Posted

Who Can Apply

City or township governments Native American tribal governments (Federally recognized) State governments County governments

Eligibility Intelligence

Individuals, foreign entities, and sole proprietorship organizations are not eligible to compete for, or receive, awards made under this announcement.

Program Description

The Automated Permitting Systems Demonstration NOFO is intended to support jurisdictions that will deploy automated building code permitting systems and partner with HUD to evaluate their applicability and effectiveness within real-world operating conditions. This demonstration will test the real-world deployment of an automated permitting platform within a government permitting environment to evaluate its effects on processing timelines, workflow efficiency, staff roles, and applicant experience. The demonstration will generate empirical evidence on operational performance, costs, governance needs, and potential cost savings to inform broader adoption by state and local jurisdictions.

CFDA Programs

14.506 General Research and Technology Activity

Agency Contact

Policy Development & Research researchpartnerships@hud.gov

✉ researchpartnerships@hud.gov 

📞 202-402-2440

Related Intelligence Guides

In-depth editorial guides covering this agency's programs, eligibility requirements, and application strategies.

GrantMetric Intelligence Systems — Independent federal grant intelligence platform. Not affiliated with Grants.gov, the U.S. Department of Health & Human Services, or any government agency. Grant data is sourced from the Grants.gov API for informational purposes only; always verify opportunity details directly with the funding agency before applying. Some links on this site are affiliate links — we may earn a commission at no additional cost to you. Full Disclaimer  ·  Last Reviewed: May 2026  ·  Data Methodology