Grants for Special district governments - Federal

This funding opportunity is designed to support organizations conducting rigorous evaluations of effective prevention strategies for intimate partner violence and sexual violence, particularly those that have been successfully implemented in communities for at least two years.

This funding opportunity supports the development of innovative informatics tools to improve cancer research and management, targeting researchers and institutions focused on enhancing data handling and analysis in the field of oncology.

This grant provides funding for early-career researchers from diverse backgrounds to receive mentorship and training in biomedical research focused on cardiovascular, pulmonary, and hematologic diseases, as well as sleep disorders, with an emphasis on addressing health disparities.

The grant titled "Investigating Distinct and Overlapping Mechanisms in TDP-43 Proteinopathies, including in LATE, FTD and other ADRDs" aims to fund research that deepens understanding of the mechanisms underlying TDP-43 proteinopathies, particularly their role in Alzheimer's Disease and related dementias, with the goal of improving diagnosis, treatment, and awareness of these conditions.

This funding opportunity provides financial support for state, local, and tribal governments, as well as nonprofits and educational institutions, to evaluate and improve crisis intervention programs aimed at enhancing public safety and addressing individuals in crisis.

Scientific observations, experiments, and simulations are producing data at rates beyond our capacity to store, analyze, stream, and archive the data in raw form. Of necessity, many research groups have already begun reducing the size of their data sets via techniques such as compression, reduced order models, experiment-specific triggers, filtering, and feature extraction. Once reduced in size, transporting, storing, and analyzing the data is still a considerable challenge a reality that motivates SCs Integrated Research Infrastructure (IRI) program [1] and necessitates further innovation in data-reduction methods. These further efforts should continue to increase the level of mathematical rigor in scientific data reduction to ensure that scientifically-relevant constraints on quantities of interest are satisfied, that methods can be integrated into scientific workflows, and that methods are implemented in a manner that inspires trust that the desired information is preserved. Moreover, as the scientific community continues to drive innovation in artificial intelligence (AI), important opportunities to apply AI methods to the challenges of scientific data reduction and apply data-reduction techniques to enable scientific AI, continue to present themselves [2-4].The drivers for data reduction techniques constitute a broad and diverse set of scientific disciplines that cover every aspect of the DOE scientific mission. An incomplete list includes light sources, accelerators, radio astronomy, cosmology, fusion, climate, materials, combustion, the power grid, and genomics, all of which have either observatories, experimental facilities, or simulation needs that produce unwieldy amounts of raw data. ASCR is interested in algorithms, techniques, and workflows that can reduce the volume of such data, and that have the potential to be broadly applied to more than one application. Applicants who submit a pre-application that focuses on a single science application may be discouraged from submitting a full proposal.Accordingly, a virtual DOE workshop entitled Data Reduction for Science was held in January of 2021, resulting in a brochure [5] detailing four priority research directions (PRDs) identified during the workshop. These PRDs are (1) effective algorithms and tools that can be trusted by scientists for accuracy and efficiency, (2) progressive reduction algorithms that enable data to be prioritized for efficient streaming, (3) algorithms which can preserve information in features and quantities of interest with quantified uncertainty, and (4) mapping techniques to new architectures and use cases. For additional background, see [6-9].The principal focus of this FOA is to support applied mathematics and computer science approaches that address one or more of the identified PRDs. Research proposed may involve methods primarily applicable to high-performance computing, to scientific edge computing, or anywhere scientific data must be collected or processed. Significant innovations will be required in the development of effective paradigms and approaches for realizing the full potential of data reduction for science. Proposed research should not focus only on particular data sets from specific applications, but rather on creating the body of knowledge and understanding that will inform future scientific advances. Consequently, the funding from this FOA is not intended to incrementally extend current research in the area of the proposed project. Rather, the proposed projects must reflect viable strategies toward the potential solution of challenging problems in data reduction for science. It is expected that the proposed projects will significantly benefit from the exploration of innovative ideas or from the development of unconventional approaches. Proposed approaches may include innovative research with one or more key characteristics, such as compression, reduced order models, experiment-specific triggers, filtering, and feature extraction, and may focus on cross-cutting concepts such as artificial intelligence or trust. Preference may be given to pre-applications that include reduction estimates for at least two science applications.

This funding opportunity supports innovative research projects focused on understanding and advancing treatments for nonmalignant blood disorders, encouraging collaboration and involvement from new researchers in the field.

This funding opportunity supports nonprofit organizations and government entities in the U.S. to develop projects that improve access to healthcare for individuals with limited English proficiency and communication disabilities by implementing a universal symbol for language assistance services.

The purpose of the Mentored Quantitative Research Career Development Award (K25) is to attract to NIH-relevant research those investigators whose quantitative science and engineering research has thus far not been focused primarily on questions of health and disease. The K25 award will provide support and "protected time" for a period of supervised study and research for productive professionals with quantitative (e.g., mathematics, statistics, economics, computer science, imaging science, informatics, physics, chemistry) and engineering backgrounds to integrate their expertise with NIH-relevant research.

This funding opportunity supports the development of innovative informatics technologies to improve cancer research and management, targeting researchers and organizations focused on cancer biology, treatment, prevention, and health disparities.

To obtain a copy of the Funding Opportunity Announcement (FOA) please go to the ARPA-E website at https://arpa-e-foa.energy.gov. To apply to this FOA, Applicants must register with and submit application materials through ARPA-E eXCHANGE (https://arpa-e-foa.energy.gov/Registration.aspx). For detailed guidance on using ARPA-E eXCHANGE, please refer to the ARPA-E eXCHANGE User Guide (https://arpa-e-foa.energy.gov/Manuals.aspx). ARPA-E will not review or consider concept papers submitted through other means. For problems with ARPA-E eXCHANGE, email ExchangeHelp@hq.doe.gov (with FOA name and number in the subject line). Questions about this FOA? Check the Frequently Asked Questions available at http://arpa-e.energy.gov/faq. For questions that have not already been answered, email ARPA-E-CO@hq.doe.gov. Agency Overview: The Advanced Research Projects Agency Energy (ARPA-E), an organization within the Department of Energy (DOE), is chartered by Congress in the America COMPETES Act of 2007 (P.L. 110-69), as amended by the America COMPETES Reauthorization Act of 2010 (P.L. 111-358), as further amended by the Energy Act of 2020 (P.L. 116-260): (A) to enhance the economic and energy security of the United States through the development of energy technologies that (i) reduce imports of energy from foreign sources; (ii) reduce energy-related emissions, including greenhouse gases; (iii) improve the energy efficiency of all economic sectors; (iv) provide transformative solutions to improve the management, clean-up, and disposal of radioactive waste and spent nuclear fuel; and (v) improve the resilience, reliability, and security of infrastructure to produce, deliver, and store energy; and (B) to ensure that the United States maintains a technological lead in developing and deploying advanced energy technologies. ARPA-E issues this Funding Opportunity Announcement (FOA) under its authorizing statute codified at 42 U.S.C. 16538. The FOA and any cooperative agreements or grants made under this FOA are subject to 2 C.F.R. Part 200 as supplemented by 2 C.F.R. Part 910. ARPA-E funds research on, and the development of, transformative science and technology solutions to address the energy and environmental missions of the Department. The agency focuses on technologies that can be meaningfully advanced with a modest investment over a defined period of time in order to catalyze the translation from scientific discovery to early-stage technology. For the latest news and information about ARPA-E, its programs and the research projects currently supported, see: http://arpa-e.energy.gov/. ARPA-E funds transformational research. Existing energy technologies generally progress on established learning curves where refinements to a technology and the economies of scale that accrue as manufacturing and distribution develop drive improvements to the cost/performance metric in a gradual fashion. This continual improvement of a technology is important to its increased commercial deployment and is appropriately the focus of the private sector or the applied technology offices within DOE. In contrast, ARPA-E supports transformative research that has the potential to create fundamentally new learning curves. ARPA-E technology projects typically start with cost/performance estimates well above the level of an incumbent technology. Given the high risk inherent in these projects, many will fail to progress, but some may succeed in generating a new learning curve with a projected cost/performance metric that is significantly better than that of the incumbent technology. ARPA-E funds technology with the potential to be disruptive in the marketplace. The mere creation of a new learning curve does not ensure market penetration. Rather, the ultimate value of a technology is determined by the marketplace, and impactful technologies ultimately become disruptive that is, they are widely adopted and displace existing technologies from the marketplace or create entirely new markets. ARPA-E understands that definitive proof of market disruption takes time, particularly for energy technologies. Therefore, ARPA-E funds the development of technologies that, if technically successful, have clear disruptive potential, e.g., by demonstrating capability for manufacturing at competitive cost and deployment at scale. ARPA-E funds applied research and development. The Office of Management and Budget defines applied research as an original investigation undertaken in order to acquire new knowledgedirected primarily towards a specific practical aim or objective and defines experimental development as creative and systematic work, drawing on knowledge gained from research and practical experience, which is directed at producing new products or processes or improving existing products or processes. Applicants interested in receiving financial assistance for basic research (defined by the Office of Management and Budget as experimental or theoretical work undertaken primarily to acquire new knowledge of the underlying foundations of phenomena and observable facts) should contact the DOEs Office of Science (http://science.energy.gov/). Office of Science national scientific user facilities (http://science.energy.gov/user-facilities/) are open to all researchers, including ARPA-E Applicants and awardees. These facilities provide advanced tools of modern science including accelerators, colliders, supercomputers, light sources and neutron sources, as well as facilities for studying the nanoworld, the environment, and the atmosphere. Projects focused on early-stage R for the improvement of technology along defined roadmaps may be more appropriate for support through the DOE applied energy offices including: the Office of Energy Efficiency and Renewable Energy (http://www.eere.energy.gov/), the Office of Fossil Energy and Carbon Management (https://www.energy.gov/fecm/office-fossil-energy-and-carbon-management), the Office of Nuclear Energy (http://www.energy.gov/ne/office-nuclear-energy), and the Office of Electricity (https://www.energy.gov/oe/office-electricity). Program Overview: The energy transition towards net-zero by 2050 demands an unprecedented level of innovation that must be completed in the span of a generation. Global primary energy usage has increased continuously for the past century. This increase is expected to continue with improved standards of living and the rapid expansion of new technologies with high levels of energy-intensive computation, such as artificial intelligence. Present grid capacity is constrained and cannot accommodate these increasing primary energy needs to reliably deliver power on demand. Meanwhile, all paths through the energy transition require concurrent efforts to decouple the production of essential carbon-based materials from harmful greenhouse gas (GHG) emissions. Since the Agencys inception, the ARPA-E OPEN program has served as an opportunity to advance transformative energy breakthroughs in critical areas that fall outside the scope of its technology-focused programs. Vision OPEN challenges the research community to develop groundbreaking technologies to enable a future energy landscape that is dramatically different. The Vision includes three goals that are critical to achieve a sustainable energy and carbon transition with: 1) GHG-free abundant primary energy; 2) An intermodal energy superhighway that transports diversified forms of primary energy; and 3) A carbon transition that sustainably meets demand for polymers and other materials. To view the FOA in its entirety, please visit https://arpa-e-foa.energy.gov.

This grant provides funding for innovative research projects focused on understanding and treating rare cancers, targeting researchers and institutions dedicated to advancing medical knowledge in this area.

The Administration for Children and Families (ACF) anticipates soliciting applications for the Temporary Assistance for Needy Families (TANF) Data Collaborative Equity Analysis Awards. Awards are intended to support state, territory, or county TANF agencies in conducting equity-focused analyses of their TANF and other human services data. Equity-focused analyses may examine the fair, just, and impartial treatment of individuals under the management and practices of the TANF program. For example, analyses may assess disparities or disproportionalities across different social groups with respect to benefit levels, referral to specific programs, or sanctioning rates. During the 30-month project period, award recipients will participate in intensive training and technical assistance provided by an ACF-funded contractor as part of the TANF Data Collaborative 2.0 (see description below). The technical assistance will build the capacity of agencies to execute a multi-year project that will identify relevant equity-focused research questions, and using available data, build data models and visualizations to inform program improvement, particularly as it relates to social equity in TANF, which is defined as the fair and equitable distribution of public services and implementation of public policy.TANF programs aim to address the employment and self-sufficiency needs of TANF recipients and other individuals with low incomes. The existence of federally reported TANF administrative data and TANF agency case management data creates unique opportunities to evaluate equity in multiple stages of the program process, allowing TANF agencies to build evidence on the potential inequities that may exist in their programs for participants. The TANF Data Collaborative Equity Analysis Awards are intended to support participating TANF agencies to:Build data analytic capacity among TANF agency staff through intensive training and technical assistance;Promote social equity analysis using TANF data to support program improvement and inform policy making;Encourage innovative approaches to leveraging one or more existing TANF data sources; andDemonstrate the potential for improved TANF data quality, use, and sharing to benefit agency programming and individual and family outcomes.OPRE funded the TANF Data Collaborative (TDC) as part of the TANF Data Innovation contract between 2017 and 2022, which provided training and technical assistance to directly support the learning of pilot sites while generating lessons and materials for others interested in understanding and working with TANF data. (More information on TDC is available at https://www.acf.hhs.gov/opre/report/increasing-data-analytics-capacity-state-tanf-agencies-tanf-data-collaborative-approach.) OPRE anticipates awarding a contract for the TANF Data Collaborative 2.0 in FY 2023, to deliver training and technical assistance to entities awarded TANF Data Collaborative Equity Analysis Awards.Award funding depends on the availability and continued interest of the government.

This funding opportunity supports innovative research projects aimed at developing groundbreaking HIV vaccine strategies, encouraging high-risk ideas that diverge from traditional methods and require measurable progress to secure continued funding.

This grant provides funding for researchers to develop innovative technologies and resources that improve the reliability and applicability of animal models in biomedical research across various diseases and organ systems.

This grant provides funding to organizations in India to enhance and sustain efforts in preventing and treating HIV and tuberculosis, particularly among high-risk populations.

This funding opportunity supports research aimed at understanding how inflammasomes contribute to neurocognitive disorders and immune function in individuals with HIV and substance use disorders, encouraging innovative studies that link these areas to improve health outcomes.

This NOFO seeks applications from the SUD and MHD research communities that coordinate efforts to characterize the effects of neuromodulation on brain circuits and behaviors relevant to both SUD and MHD. To accomplish this goal, studies would specify inclusion/exclusion criteria to capture variance in both SUD and MHD symptoms. Further, studies would include measures of engagement of circuit-level targets in response to neuromodulation and dimensional measures of cognition and behavior relevant to both SUD and MHD. This research approach uses circuit dynamics to understand neurobehavioral function and to develop ecologically valid and descriptive models of the shared and discrete dysfunction across these conditions.

This Funding Opportunity Announcement (FOA) encourages applications for support of national or regional resources that will provide access to state-of-the-art facilities, equipment, technologies, research tools, software, and/or service to a substantial user base at institutions across multiple states (regional) or the country (national). These resources should already be established, although new resources formed through consolidation of multiple local or regional facilities are also eligible. They should be poised to achieve or already have achieved significant economies of scale and should be able to significantly increase access to the supported technologies or services for researchers across one or more regions or the country. Major new research and development efforts should not be included. For this FOA, a resource is defined as an activity that provides research capabilities and expertise to a large number of investigators and is available to any qualified investigator as a service. The intent is to provide access to investigators without regard to the particular biomedical focus of their research, but not to duplicate or replace resources supported by other NIH Institutes and Centers (ICs) or host institutions. Only those resources whose technical capabilities fall within the program areas supported by NIGMS will be supported. It is expected that the resource will be maintained or upgraded to current best practices, make its capability and availability known to the biomedical research community through outreach activities, and provide user training and support. Stand-alone data resources and databases are not eligible for funding through this FOA. This FOA is limited to applications requesting support for resources that have been developed through previous NIGMS funding.

This funding opportunity supports research projects that improve forensic science practices in publicly funded laboratories, targeting advancements in areas like DNA testing and toxicology, and is open to a range of eligible applicants including government entities and educational institutions.