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

This funding opportunity supports research projects that develop and test innovative strategies to improve cancer screening and preventive services for populations facing health disparities, such as racial and ethnic minorities, low-income groups, and rural communities.

This program provides funding to historically Black colleges and universities to strengthen their teaching, research, and outreach efforts in food and agricultural sciences.

The Administration for Children and Families (ACF), Office of Head Start (OHS) announces the availability of approximately $102 million to be competitively awarded for the purpose of expanding access to high-quality, comprehensive services to low-income infants, 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 [email protected] 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.

This funding opportunity provides financial support to various organizations and entities to develop training and assistance programs aimed at combating opioid and stimulant misuse in rural communities.

The purpose of this Funding Opportunity Announcement (FOA) is to solicit applications for the Research Units (RUs), one of the two scientific components of the Pancreatic Cancer Detection Consortium (PCDC), to conduct research on early detection of pancreatic ductal adenocarcinoma (PDAC) and characterization of its precursor lesions to identify those patients who are at high risk of progression to cancer. The PCDC will continue to address one of the four research priorities identified in the National Cancer Institute's 2014 Scientific Framework for Pancreatic Ductal Adenocarcinoma. The PCDC will support research for the development and testing of new molecular and imaging biomarkers for detecting PDAC early and for identifying those patients at high risk of PDAC (because of genetic factors or presence of precursor lesions) who could be candidates for early intervention. The PCDC-RUs will consist of multi-disciplinary teams and will undertake studies to: identify and test biomarkers measurable in bodily fluids for early detection of PDAC and/or its precursor lesions; determine which pancreatic cysts are likely to progress to cancer; develop molecular- and/or imaging-based approaches for screening populations at high risk of PDAC; use machine learning and computational approaches towards biomarker discovery and/or validation; and conduct biomarker validation studies. The PCDC-RUs will also collect longitudinal biospecimens for building a biorepository. Each PCDC-RU is expected to participate in collaborative activities with other PCDC-RUs and share ideas, biospecimens and data within the Consortium. The other scientific component of the PCDC will be the Management and Data Coordination Unit (MDCU). The PCDC-MDCU will provide support toward study design, protocol development, statistical analysis, coordination, harmonization, data management and stewardship for the trans-PCDC collaborative projects, including biorepository building effort. The PCDC-MDCU will also supp

Grant Title: Generation III+ Small Modular Reactor Pathway to Deployment - This grant aims to accelerate the deployment of advanced small modular reactor technologies in the U.S. by providing funding to teams that demonstrate a clear plan for building and operating these reactors, thereby enhancing energy security and supporting clean energy goals.

This funding opportunity provides financial support for universities, businesses, and organizations to develop and implement innovative technologies that convert carbon dioxide into useful products, helping to combat climate change and promote sustainability.

This funding opportunity provides financial support to U.S. academic and nonprofit institutions to implement innovative programs that enhance research rigor and transparency in neuroscience, fostering a culture of high-quality scientific practices.

This funding opportunity provides financial support for researchers to explore innovative ways to integrate genomic information into clinical care, particularly focusing on diverse and underserved populations to improve health equity.

The astrophysics community has available a diverse and powerful network of ground- and space-based instruments and facilities to enable observers to identify the electromagnetic signatures of Multi-Messenger Astrophysics (MMA) events, and then monitor and characterize their evolution. There also exists a rich set of software packages to track, schedule and support these observations. The community has identified the need to better harmonize these resources and interconnect users. The Multi-Messenger Coordination for Windows on the Universe (MMC-WoU) program will support the development of pathways or networks to increase the coordination and optimization of follow-up observations for MMA campaigns.

This funding opportunity provides financial support for Sea Grant Programs to conduct research on emerging environmental contaminants in coastal and estuarine waters, focusing on community engagement and ecological health.

Offering services and supports to older adults or persons with disabilities can enable them to maintain their independence and status in the community. In addition, we recognize that family caregivers provide most of the support that makes it possible for older people and people with disabilities to live in the community. Providing care can take a physical, financial, and emotional toll on family caregivers. Offering assistance to family caregivers can make it easier for them to continue providing care and allows older adults and persons with disabilities the opportunity to remain in the community.In 2019, the Administration for Community Living (ACL) established a new grant program that is testing models of programming designed to place volunteers in communities to assist caregivers, older adults, and persons with disabilities in maintaining independence by providing non-medical care. ACL proposes to continue the Volunteer Care Corps by funding a new one cooperative agreement to a national organization to advance the following broad objectives: Test person-centered model approaches of delivering local volunteer programming to assist older adults, persons with disabilities and their family caregivers in maintaining their independence. Evaluate locally developed test models to determine the benefit to volunteers, family caregivers, older adults, and persons with disabilities. Develop and implement a plan to broadly disseminate proven local models for replication in other communities.

This grant provides funding to support community-driven educational initiatives that enhance college and career readiness for Indian students through culturally relevant approaches and partnerships with local tribes and educational institutions.

This funding opportunity supports multidisciplinary teams in developing and testing innovative drugs and devices to treat mental disorders, encouraging collaboration between academia and industry.

The objective of the Data Science Corps program is to help build a strong national data science infrastructure and workforce. The Data Science Corps program seeks to engage data science students in real-world data science implementation projects. This engagement will help bridge the data-to-knowledge gap in organizations and communities at all levels, including local, state, and national, and will empower better use of data for more effective decision making. Data Science Corps participants will be able to sharpen their skills in data science by working on real-world projects focused on specific community needs, including rural communities, urban communities, academia, industry, or government. This partnership between communities and data scientists will serve the nation by helping produce a workforce-ready cohort of data scientists and technologists, who have experience with data science in action in real-world settings. The program welcomes proposals that seek to broaden participation inscience, technology, engineering and mathematics (STEM) and STEM education. This solicitation prompts the community to respond to one or more mechanisms by which to provide students with data science education and training, including in data science issues related to knowledge representation and creation and use of knowledge graphs. The solicitation supports opportunities for undergraduates (including students from community colleges, Minority Serving Institutions, other emerging research institutions as defined in the CHIPS and Science Act, https://www.congress.gov/bill/117th-congress/house-bill/4346, and institutions in EPSCoR jurisdictions), and grade 6-12 teachers and students. When responding to this solicitation, even though proposals must be submitted through theDirectorate for STEM Education, Division of Research on Learning in Formal and Informal Settings (EDU/DRL), once received, the proposals will be managed by a cross-disciplinary team of NSF Program Directors This solicitation grew out of the NSF-wide activity known as Harnessing the Data Revolution (HDR), a national-scale activity to enable new modes of data-driven discovery addressing fundamental questions at the frontiers of science and engineering. HDR has supported an interrelated set of efforts in foundations of data science; data-intensive research in science and engineering; and education and workforce development. Contact Information: Please note that the following information is current at the time of publishing. See program website for any updates to the points of contact. General inquiries may be addressed to [email protected].

This funding opportunity supports the development and enhancement of animal models and related biological tools that are broadly applicable to various areas of biomedical research, aimed at improving our understanding of human diseases and advancing therapeutic interventions.

This program provides funding to U.S. higher education institutions for interdisciplinary research that integrates human behavior into mathematical models to improve public health outcomes during crises like pandemics and drug-related health issues.

This grant provides funding for researchers to explore how HIV and substance use disorders affect protein interactions in microglia, aiming to uncover mechanisms that could lead to new treatments for these interconnected conditions.

This grant provides funding to colleges and universities for projects that improve organic farming practices, enhance soil health, and support farmers transitioning to organic methods.

This funding opportunity announcement (FOA) encourages applications for multi-center clinical trials focused on neurological emergencies. Successful applicants will collaborate and conduct the trial within the NIH SIREN Network. The NIH SIREN Clinical Coordinating Center (CCC) will work with the successful applicants to implement the proposed trial efficiently and the SIREN Data Coordinating Center (DCC) will provide statistical and data management support. The NIH SIREN hubs and their affiliated clinical sites will provide on-site implementation of the clinical protocols.The NIH SIREN Network will also be uniquely poised to collaborate with other US and international consortia necessary to conduct larger, definitive trials of promising interventions for neurological emergencies.Multi-center clinical trials in stroke treatment, recovery, or prevention supported by NINDS will be conducted in the NIH StrokeNet, and not within SIREN. Applicants do not need to be part of the existing SIREN infrastructure to apply under this FOA.