Grants for Public and State controlled institutions of higher education - Federal

This funding opportunity provides financial support to not-for-profit organizations, NGOs, and educational institutions to promote U.S. exports and improve trade relations in Bangladesh by enhancing market access and fostering a transparent business environment.

The purpose of this Notice of Funding Opportunity (NOFO) is to address the needs of the maternal and pediatric HIV scientific community for research data translation and sharing. This initiative will support secondary data analyses using archived HIV/AIDS data and specimens to generate new research questions and findings relevant to the scientific mission and priorities of the NICHD, Maternal and Pediatric Infectious Disease Branch (MPIDB) and Office of AIDS Research (OAR). The goal of this initiative is to encourage applicants to leverage existing datasets and employ new and advanced analysis techniques to answer scientific questions about the epidemiology, pathogenesis, treatment, clinical manifestations and complications of HIV/AIDS in maternal, pediatric and adolescent populations.

This funding opportunity is designed to support a network of organizations that will improve influenza modeling and forecasting to enhance public health responses and reduce illness in vulnerable populations.

Grant Title: Advanced Hydrogen and Fuel Cell Technologies to Drive National Goals aims to fund research and development of hydrogen and fuel cell technologies to help achieve a net-zero emissions economy by 2050, focusing on clean energy solutions for transportation, industrial processes, and energy storage.

This funding opportunity provides financial support to Arizona's Metropolitan Planning Organizations and Councils of Governments for transit planning projects that improve rural and regional transit services, particularly for underserved communities.

This funding opportunity provides financial support for organizations to create and share resources that improve community policing practices and strengthen trust between law enforcement and the communities they serve.

This competition provides $100,000 in funding to individuals and organizations in the U.S. to develop innovative electric power distribution systems that can adapt to modern energy challenges in rural, suburban, and urban settings.

This funding opportunity provides financial support for research projects that aim to reduce health disparities in rural communities by implementing targeted interventions and engaging local resources.

This grant provides funding for research aimed at identifying and overcoming financial and non-zoning obstacles to increasing the supply of diverse housing options, known as Missing Middle Housing, in communities across the United States.

This grant provides funding for organizations to empower women in Eastern Slovakia by equipping them with essential business skills and resources to successfully launch and grow their own businesses.

The Administration for Children and Families (ACF), Office of Head Start (OHS) announces the availability of approximately $9 million to be competitively awarded for the purpose of expanding access to high-quality, comprehensive services to low income American Indian/Alaska Native (AIAN) infants and toddlers and their families through Early Head Start-Child Care (EHS-CC) Partnerships, or through the expansion of Early Head Start services. ACF solicits applications from public entities, including states, or private non-profit organizations, including community-based or faith-based organizations, or for-profit agencies that meet eligibility for applying as stated in section 42 U.S.C. 9840A of the Head Start Act. Interested applicants may email OHSgrants@koniag-gs.com for additional information.OHS encourages interested applicants to visit https://www.acf.hhs.gov/grants/how-apply-grant. This webpage provides information on applying for grants, registering and applying through Grants.gov, submitting an application, and understanding the grant review process.

The U.S. Department of State Bureau of Democracy, Human Rights, and Labor (DRL) announces an open competition for an evaluation project that contributes to building a portfolio of evidence regarding inclusive human rights in Ukraine. In support of this goal, DRL seeks to promote the use of sound data and generate findings on what works, for whom, and why in democracy and human rights programming abroad. Projects should support the following objective: the rights of marginalized, underserved, and at-risk individuals in Ukraine are recognized and respected within a democracy, rights, and good governance framework.

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.

The "OSERS-OSEP: Personnel Development to Improve Services and Results for Children with Disabilities--Preparation of Special Education, Early Intervention, and Related Services Leadership Personnel" grant is a funding opportunity from the U.S. Department of Education aimed at increasing the number of qualified doctoral-level professionals who can lead in special education, early intervention, and related services, with a focus on promoting equity and addressing personnel shortages in these fields.

This program provides funding for U.S. and Chilean non-profit organizations, educational institutions, and individuals to implement projects that strengthen ties between the United States and Chile in areas like combating disinformation, promoting economic growth, and supporting democratic institutions.

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.