Housing Grants

Corrections

Transitional Housing and Supportive Services

Corrections

Transitional Housing

Children and Families

Extreme Weather Shelter Program

Department of Housing and Community Development

Rather than utilizing a set-aside within the standard MFSN Program, this NOFA operates independently and is tailored to meet the specific affordable housing needs of California Tribes. Funds offered under this NOFA and the criteria specified herein are available solely and exclusively to eligible Tribal Entities. This NOFA provides forgivable loans to assist with the new construction, rehabilitation, and conversion of permanent and transitional rental housing for lower income households. This NOFA also provides grants for the construction, rehabilitation, demolition, relocation, preservation, or other physical improvement of parks, water, sewer, or other utility service, streets/ roads, adaptive reuse, transit station structured parking and facilities, facilities that support pedestrian or bicycle transit, sidewalk improvements.Keywords: Tribal, Tribal Entities, Native American, NAHASDA

AARP Foundation

Grants for programs addressing hunger, income, housing, and isolation among older adults with limited resources.

U.S. Department of Housing and Urban Development

Supports tribal efforts to prevent and end homelessness through transitional housing, permanent supportive housing, and wrap-around services in Indian country.

Department of Housing and Urban Development

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.

Department of Housing and Urban Development

The U.S. Department of Housing and Urban Development"s Office of Policy Development and Research (PD&R) expects to release a Notice of Funding Opportunity for the Mass Market Solutions for Leveraging Robotics and AI Technologies for Home Construction Demonstration. This anticipated NOFO is intended to fund demonstration projects that test and scale the use of automation, robotics, and artificial intelligence in factory-built housing to help build homes faster, at lower cost, and in ways that can meaningfully increase housing supply.Awards are expected to be made as cooperative agreements, which means HUD will be actively involved throughout the project period. PD&R will provide technical guidance and oversight to help ensure projects are well designed, aligned with program goals, and able to generate lessons that can be applied more broadly across the housing industry.HUD is especially interested in projects that use automation, robotics, or AI at specific stages of the factory-built housing process, whether onsite or offsite. Eligible approaches may include panelized systems, modular construction, or fully volumetric homes. Projects must show that the proposed technology can produce housing components at a scale sufficient to deliver a defined number of homes and clearly explain how the technology improves construction speed, labor efficiency, quality, or cost.The overall goal of this NOFO is to support technologies that can move beyond a single pilot and be scaled for wider use, contributing to long-term increases in housing supply. Applicants should explain how their project bridges the gap between early development and commercial use and should quantify expected affordability benefits, such as reduced construction time or labor needs. The program supports Administration priorities to lower housing costs and expand housing supply and requires projects to follow principles of Gold Standard Science.

Department of Housing and Urban Development

The U.S. Department of Housing and Urban Development"s Office of Policy Development and Research (PD&R) expects to release a Notice of Funding Opportunity for the Mass Market Solutions for Leveraging Robotics and AI Technologies for Home Construction Demonstration. This anticipated NOFO is intended to fund demonstration projects that test and scale the use of automation, robotics, and artificial intelligence in factory-built housing to help build homes faster, at lower cost, and in ways that can meaningfully increase housing supply.Awards are expected to be made as cooperative agreements, which means HUD will be actively involved throughout the project period. PD&R will provide technical guidance and oversight to help ensure projects are well designed, aligned with program goals, and able to generate lessons that can be applied more broadly across the housing industry.HUD is especially interested in projects that use automation, robotics, or AI at specific stages of the factory-built housing process, whether onsite or offsite. Eligible approaches may include panelized systems, modular construction, or fully volumetric homes. Projects must show that the proposed technology can produce housing components at a scale sufficient to deliver a defined number of homes and clearly explain how the technology improves construction speed, labor efficiency, quality, or cost.The overall goal of this NOFO is to support technologies that can move beyond a single pilot and be scaled for wider use, contributing to long-term increases in housing supply. Applicants should explain how their project bridges the gap between early development and commercial use and should quantify expected affordability benefits, such as reduced construction time or labor needs. The program supports Administration priorities to lower housing costs and expand housing supply and requires projects to follow principles of Gold Standard Science.