Grants for Native American tribal organizations - Science and Technology

The U.S. Geological Survey (USGS) Landslide Hazards Program (LHP) issues this Program Announcement for assistance to support communication, planning, coordination, mapping, assessments, and data collection of landslide hazards. The program announcement for the Cooperative Landslide Hazard Mapping and Assessment Program is authorized by the National Landslide Preparedness Act (P.L. 116-323) and appropriations to the USGS.A main objective of this Program, as outlined in the National Landslide Preparedness Act, is to provide grants, on a competitive basis, to state, territorial, local, and Tribal governments to research, map, assess, and collect data on landslide hazards within the jurisdictions of those governments. This funding opportunity, USGS Cooperative Landslide Hazard Mapping and Assessment Program, solicits Risk Reduction Proposals as described in this document.

This grant provides funding for projects that improve wildlife and fish passage by constructing or modifying infrastructure, restoring habitats, and removing barriers, particularly in areas affected by drought.

This funding opportunity provides up to $10,000 to nonprofit organizations and educational institutions for creating engaging media projects that promote public understanding of humanities topics in Oklahoma.

This grant provides funding for U.S.-based researchers, including advanced graduate students, to participate in Earth-based simulations that support the planning and execution of future lunar missions under the Artemis program.

This program provides financial assistance to various organizations and governments to build high-speed internet infrastructure in underserved rural communities, enhancing access to essential services and economic opportunities.

This funding opportunity provides financial support for organizations to develop innovative tools and services that improve community living and participation for individuals with disabilities across the United States.

The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in basic computer science and applied mathematics research in the fundamentals of Artificial Intelligence (AI) for science. Specifically, advancements in this area are sought that can enable the development of: Foundation models for computational science; Automated scientific workflows and laboratories; Scientific programming and scientific-knowledge-management systems; Federated and privacy-preserving training for foundation and other AI models for science; and Energy-efficient AI algorithms and hardware for science. The development of new AI techniques applicable to multiple scientific domains can accelerate progress, increase transparency, and open new areas of exploration across the scientific enterprise. SUPPLEMENTARY INFORMATION AI is one of the most powerful technologies of our time[1] and DOE is at the forefront of research and development in AI technologies for enabling scientific discovery and innovation. Core components of the scientific method remain unchanged: Observation, Hypothesis, Experiments, and Analysis. However, DOE recognizes that abundant sources of data, high-performance computing (HPC) and networking, energy-efficient algorithms, and AI-related technologies can be harnessed to significantly accelerate and expand the impact of scientific research. The breadth of applications spans climate science, cybersecurity and electric grid resilience, biotechnology, microelectronics, disaster response, and beyond. Research to address national priorities will require advances and AI innovations in high-level capabilities such as: monitoring and predicting the onset of real-world anomalies and extreme events; adaptive strategies to control the real-time behavior of complex systems, infrastructure, and processes; approaches for the optimal development and design of physical systems; decision-support for planning, risk, and policy formulation; and tools that synthesize scientific knowledge and accelerate the design, manufacturing, testing, and optimization of new technologies. The focus of ASCR research and development investments is on the underlying approaches for AI-enhanced scientific and engineering capabilities and to significantly transform the scientific method for accelerated discovery and innovation. Realizing the next generation of AI for science will require innovations in both hardware and algorithms. Future AI-enabled scientific workflows are expected to use Machine Learning (ML) to enhance numerical modeling and data analysis along with technologies that process natural and computer-programming languages. DOEs exascale supercomputers[2] are some of the Nations most powerful systems for large-scale AI training and for tasks integrating AI, modeling, simulation, and data analysis. These exascale and future systems complement the vast array of other AI-enabled HPC and edge systems, including automated laboratories and facilities, that will significantly accelerate scientific progress in the coming decades. DOEs scientific community has collectively articulated important research directions toward realizing the promise of AI for science and other DOE missions in the recently-released AI For Science, Energy, and Security report [1], building on the preceding AI for Science report [2], and complementing the report on Opportunities and Challenges from Artificial Intelligence and Machine Learning for the Advancement of Science, Technology, and the Office of Science Missions [3]. The research directions highlighted in these reports, and others, appear prominently in the National Artificial Intelligence Research and Development Strategic Plan [4]. This FOA addresses a broad spectrum of research priorities described in these documents that are critical to enabling trustworthy AI for scientific applications advancing human understanding and addressing national needs. [1] For additional background on the promise and importance of AI R, see the OMB/OSTP Memorandum on Multi-Agency Research and Development Priorities for the FY 2025 Budget (August 2023) https://www.whitehouse.gov/wp-content/uploads/2023/08/FY2025-OMB-OSTP-RD-Budget-Priorities-Memo.pdf, and the Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (October 2023) https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence/ [2] For more information on ASCRs exascale supercomputers, and other HPC resources, available as national user facilities, see https://science.osti.gov/ascr/Facilities/User-Facilities

This funding opportunity supports U.S.-based cancer research institutions to enhance their research infrastructure and collaborative efforts in cancer prevention, treatment, and care.

This funding opportunity supports collaborative pilot studies using advanced microphysiological systems to explore new approaches in understanding and treating type 2 diabetes, inviting a diverse range of applicants from various sectors.

This funding opportunity is designed to support non-profit organizations in expanding and implementing proven falls prevention programs for older adults, focusing on effective strategies for broader adoption within community and clinical settings.

This funding opportunity provides financial support for institutions and organizations to create and manage a resource that supplies human tissues and organs for biomedical research, benefiting studies on various diseases and health conditions.

This grant provides funding for doctoral students and collaborative research teams in California to conduct precision medicine projects that address health disparities and promote equitable healthcare for historically underrepresented populations.

This funding opportunity is designed to support public-private partnerships that leverage artificial intelligence to improve the resilience and competitiveness of U.S. manufacturing through innovative research and workforce development.

This program provides funding to municipalities, conservation districts, and eligible nonprofits in New York to support projects that improve water quality, enhance habitats, and reduce flood risks.

This grant provides funding for researchers and organizations to utilize uncrewed systems data to address urgent climate challenges and enhance NOAA's capabilities in climate adaptation, resilience, and mitigation efforts.

This grant provides funding for technology demonstrations of non-lithium long-duration energy storage solutions, targeting state energy offices, Indian Tribes, educational institutions, electric utilities, and private energy storage companies to advance these technologies towards commercial viability.

This funding opportunity provides financial support for research and evaluation projects aimed at improving responses to human trafficking, particularly along the Southern Border, and is open to a wide range of organizations, including governments, educational institutions, and nonprofits.

The Bitsie Clark Fund for Artists (The Bitsie Fund), housed at the Community Foundation for Greater New Haven, aims to support individual artists in pursuing new work and achieving specific creative and career goals. This aligns with the Foundation's broader mission to foster a thriving community by supporting local talent and development. The fund's focus is on individual artist development, rather than community development, signifying a strategic priority to invest directly in the artistic growth of residents within the Foundation's service area in Greater New Haven. In 2024, The Bitsie Fund will award two $5,000 grants, one specifically for a Black artist and another open to all eligible artists. This targeting reflects a commitment to equitable support within the artistic community and addresses potential disparities. The grant's impact goals are centered on enabling artists to tackle major artistic development goals, take risks on new directions in their work, or advance their careers. The expected outcomes include a more vibrant artistic community with empowered individual artists. The fund prioritizes individual artists at a significant point in their personal development, encouraging both established artists with a substantial body of recent work and those emerging in their field to apply. This inclusive approach to eligibility ensures a broad reach within the artist community. The focus is on supporting a wide array of creative disciplines including dance, music, theater, visual arts, design, craft, literary arts, voice, poetry, playwriting, composition, and film. Measurable results would be evidenced by artists successfully utilizing the funds for approved uses such as purchasing materials, compensating for time spent developing projects, hiring others, covering performance or touring costs, travel for proposals, renting studio space, and production expenses. Ultimately, the Bitsie Fund's theory of change posits that by directly supporting individual artists in these ways, it will contribute to their personal and professional growth, thereby enriching the cultural landscape of Greater New Haven.

This funding opportunity provides financial support to a wide range of organizations for establishing a national data center that will enhance research and improve outcomes for individuals with traumatic brain injuries.

The Division of Mathematical Sciences (DMS) in the Directorate for Mathematical and Physical Sciences (MPS) at the National Science Foundation (NSF) and the Air Force Office of Scientific Research (AFOSR) plan to jointly support foundational mathematical and statistical research on Digital Twins in applied sciences. Recent years have witnessed a significant increase in the demand and interest in applications that involve collaborative teams developing and analyzing Digital Twins to support decision making in various fields, including science, engineering, medicine, urban planning, and more. Both agencies recognize the need to promote research aiming to stimulate an interplay between mathematics/statistics/computation and practical applications in the realm of Digital Twins. This program encourages new collaborative efforts within the realm of Digital Twins, aiming at stimulating fundamental research innovation, pushing, and expanding the boundaries of knowledge, and exploring new frontiers in mathematics and computation for Digital Twin development, and its applications. By leveraging this synergy, the program aims to harness science, technology, and innovation to address some of our Societys most pressing challenges.