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2026 Natural Community Conservation Planning Local Assistance Grant Program is sponsored by Department of Fish and Wildlife. The Natural Community Conservation Planning Local Assistance Grant (NCCP LAG) Program is intended to assist local public agencies, tribes, and non-profit organizations with the highest priority tasks needed to implement NCCPs. The California Department of Fish and Wildlife seeks proposals for highest priority projects associated with the implementation of an NCCP. The intention of this Proposal Solicitation Package (PSP) is to solicit proposals of the highest quality that are consistent with the goals of the NCCP Program. To help achieve this intention, the PSP provides guidance on Applicant eligibility, the grant process and deadlines, and application and submission procedures. Proposals must address the highest priority tasks associated with the implementation of an NCCP such as: Management Activities: Immediate management actions on newly acquired NCCP reserve lands. Restoration/Enhancement: Restoration or enhancement of habitats or species populations on NCCP reserve lands. Monitoring: Design and implementation of biological monitoring programs identified in an NCCP, including the establishment of sampling methods, monitoring plots, data collection, management, and analysis. Reserve Management Plans: Development and implementation of individual reserve management plans. Mapping: New or updated mapping in support of NCCP management or monitoring activities, such as vegetation community mapping. Targeted Studies for Adaptive Management: Studies to evaluate management actions for covered habitats or species, and whether such actions are meeting stated goals or require adjustments through adaptive management. Other: Other non-land acquisition priority tasks, identified by the applicant and implementing partners, which are needed to ensure effective implementation of the NCCP. This solicitation opens on June 1st, 2026, and closes at 8:00 pm (PDT) July 31st, 2026.

Texas Foundations Fund: Disaster Recovery is sponsored by Texas State Affordable Housing Corporation (TSAHC). Grants to nonprofit organizations in Texas for disaster recovery housing needs among very low‑income households.

The EDU AI grant funds development of an open-source AI model for K-12 tutoring, addressing limitations in current AI tutors that give answers too quickly, miss signs of student motivation, and fail to support productive problem-solving. The funded team will produce model weights, training code, datasets, evaluation tools, and documentation released under permissive licenses (Creative Commons Attribution 4.0 and Apache 2.0). The work focuses initially on mathematics tutoring with potential expansion to other subjects. Lead organizations must have at least one peer-reviewed publication before May 8, 2026, a demonstrated record of contributing digital public goods, prior experience with LLMs in U.S. education contexts, meaningful prior deployment using real student data (proof-of-concept work insufficient), and at least one major tutoring EdTech provider identified or conditionally committed. Strong fit for academic-industry consortia combining ML/AI engineering with deep K-12 classroom expertise and learning science.