Federal Science and Technology Grants
Explore 2,055 grant opportunities
Application Deadline
May 23, 2025
Date Added
Mar 25, 2025
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.
Application Deadline
Jun 21, 2024
Date Added
Mar 26, 2024
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].
Application Deadline
Nov 13, 2024
Date Added
Oct 1, 2024
This grant provides funding for researchers to analyze and interpret data from various NASA planetary missions, encouraging innovative scientific investigations and collaborations in the field.
Application Deadline
Feb 14, 2025
Date Added
Feb 22, 2024
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.
Application Deadline
Feb 3, 2025
Date Added
Nov 6, 2024
This grant provides funding for organizations to develop advanced neutrino detectors using quantum sensing technologies, targeting improved detection capabilities for neutrinos from various sources, including nuclear reactors.
Application Deadline
Aug 26, 2024
Date Added
May 9, 2024
The FY24 MRP Idea Award supports innovative, untested, exploratory, high-risk/potentially high-reward concepts, theories, paradigms, and/or methods that address at least one of the FY24 MRP Focus Areas in Section II.A.1. Key aspects of the Idea Award: The intent of the Idea Award is to generate novel research avenues for investigation; therefore, novelty and innovation should be key aspects of the proposed research. Research supported by the Idea Award must introduce a new paradigm, challenge existing paradigms, look at existing problems from new perspectives, or exhibit other highly creative qualities. The proposed project must be exploratory, hypothesis-driven, or hypothesis-generating research and be based on a well-developed study design and plan of analysis. Principal Investigators (PIs) new to the melanoma field are encouraged to apply. The Idea Award is NOT intended to expand or extend previously published findings or continue a line of research already established and /or funded in the PIs laboratory. Incremental advances, the next logical step, or merely switching the object or method of inquiry from one cancer to melanoma is not considered innovative. The expected outcome of research supported by this award is the generation of robust preliminary data to be used as a foundation for future melanoma-focused research projects. Inclusion of preliminary data is discouraged. PIs proposing projects already supported by significant preliminary data and/or other funding sources should consider applying to other FY24 MRP funding opportunities for which the inclusion of preliminary data is more appropriate or required. Inclusion of preliminary data other than serendipitous findings is not consistent with the exploratory/innovative nature of this award. If preliminary data are included, they should be unanticipated outcomes or results from an unrelated project or study.
Application Deadline
Jul 23, 2025
Date Added
Jun 24, 2025
This funding opportunity is designed to support Norwich University in developing programs that enhance cybersecurity education and workforce development for military and civilian needs, including outreach to K–12 students.
Application Deadline
Aug 18, 2025
Date Added
Jul 8, 2025
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.
Application Deadline
Jun 17, 2024
Date Added
Mar 26, 2024
The FY24 LCRP Career Development Award supports early-career, independent investigators to conduct impactful research under the mentorship of an experienced lung cancer researcher as an opportunity to obtain the funding, mentoring, and experience necessary for productive, independent careers at the forefront of lung cancer research. Research applications only in the area of mesothelioma will not be accepted. This award is intended to support impactful research projects with an emphasis on discovery.Preliminary data are not required. However, logical reasoning and a sound scientific rationale for the proposed research must be demonstrated.Key elements of this award are as follows:Principal Investigator (PI): PIs must be research- or physician-scientists at an early stage of their independent research careers. PIs must be within 5 years of their first faculty appointment (or equivalent) and exhibit a strong desire to pursue a career in lung cancer research.Mentorship: The Mentor(s) must be an experienced lung cancer researcher(s) as demonstrated by a strong record of funding and publications in lung cancer research. In addition, the Mentor(s) must demonstrate a commitment to developing the PIs career in lung cancer research.Career Development: A Career Development Plan is required and should be prepared with appropriate guidance from the Mentor(s). A clearly articulated strategy for acquiring the necessary skills, competence, and expertise to have a career at the forefront of lung cancer research should be included. The plan should outline how the PI will gain experience in lung cancer research. Because career development is the focus of this award, the PI must commit a minimum of a 25% level of time and effort during the period of performance to conduct lung cancer research under this award.Impact: Research that has high potential impact may lead to major advancements and significantly accelerate progress toward eradicating deaths and suffering from lung cancer.Relevance to Military Health System (MHS) Beneficiaries: The application should clearly articulate how the proposed research is relevant to Service Members, Veterans, and their Families.The PI is required to attend a Department of Defense (DOD) one day in progress review meeting prior to the end of the second year of the award.
Application Deadline
Not specified
Date Added
Jun 24, 2024
This grant provides funding to small businesses for pre-clinical research projects that have previously received Phase II SBIR or STTR awards, helping them advance promising biotechnology products towards commercialization.
Application Deadline
Jan 30, 2026
Date Added
Dec 24, 2025
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.
Application Deadline
Nov 19, 2024
Date Added
Aug 21, 2024
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.
Application Deadline
May 7, 2024
Date Added
Jan 16, 2024
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.
Application Deadline
Nov 20, 2024
Date Added
Sep 17, 2024
This grant provides funding for innovative researchers to explore groundbreaking ideas and methods in glioblastoma research, particularly encouraging early-career scientists and collaborations with experienced experts.
Application Deadline
Jun 11, 2024
Date Added
Mar 12, 2024
This solicitation describes an ambitious program to fund international, interdisciplinary collaborative research centers that will apply best practices of broadening participation and community engagement to develop use-inspired bioeconomy research to address one or more global challenges identified by the scientific community. Here, the "used-inspired" nature of the research refers to project outcomes leading to foreseeable benefits to society. This program will prioritize research collaborations that foster team science and community-engaged research, use knowledge-to-action frameworkswhose rationale, conceptualization, and research directions are driven by the potential use of the results as illustrated by Pasteurs Quadrant (see Stokes, Donald E. (1997), "Pasteur;apos;s Quadrant - Basic Science and Technological Innovation," Brooking Institution Press, p.196. ISBN 9780815781776).Proposals should also indicate how research will be co-generated with communities and stakeholders identified in the proposal. The proposed research should maximize the benefits of international, interdisciplinary collaborations, and describe the roles and responsibilities of each national team in achieving the goals of the proposed Global Center. Global Centers projects involving partnership between the U.S. and two or more partner countries are strongly encouraged. Global challenges must be addressed through international collaboration and researchers are encouraged to develop international teams to address research questions that can only be addressed through multilateral efforts. The topic for the 2024 competition of the Global Centers program is Addressing Global Challenges through the Bioeconomy and may include research from any combination of research disciplines supported by NSF. The Bioeconomy is the share of the economy based on products, services, and processes derived from living systems.Research investments to advance the bioeconomy serve to accelerate scientificdiscovery and to enable the harnessing, engineering, and rational modulation ofbiological systemsto create goods and services that contribute to the agriculture,health, security, manufacturing, energy, and environmental sectors of the global economy; or that provide access to unique systems that help us understand the processes and issues that we can use biotechnology to solve. Bioeconomy is built on the foundation of biotechnology and biomanufacturing, and in addition to biological science and engineering includes contributions from fields such as chemistry, materials science, geosciences, mathematics, data sciences, humanities, and the social sciences. The world is facing many serious challenges, including, but not limited to, adapting to or mitigating the effect of climate change, developing clean energy approaches, identifying and advancing sustainable food systems, addressing water insecurity, exploring solutions to emerging infectious diseases, creating resource efficiency, sustaining biodiversity, addressing inequalities in access to biotechnologies, and developing a circular bioeconomy. For example, bio-based materials offer heightened biodegradability and biosafety as compared to reusable plastic materials that shed microplastics during use and washing and affect water security and human health. This Global Centers solicitation in Bioeconomy offers a unique opportunity for interdisciplinary teams of scientists, educators, and practitioners to use knowledge of the bioeconomy to co-develop and execute a research plan for an international center that will address a global challenge facing humanity. The Global Centers program is meant to support multidisciplinary research that can only be achieved through international partnerships uniting complementary areas of expertise, and/or facilitating access to unique expertise or resources of the participating countries. The proposal should explain how the center will maximize the benefits of international collaborations and describe the unique contributions and the roles and responsibilities of each national team in achieving the goals of the proposed Global Center. Successful proposals will describe how the center will tackle a global challenge that can only be addressed through the diversity of knowledge, skills, and resources united in this center. Addressing global challenges requires international engagement and must go beyond production of data to demonstrate how co-generation and co-production of research with stakeholder groups can maximize the chances of research outcomes being taken up by target groups and applied to address the global challenge. Because change requires human involvement, this process, described as the Knowledge to Action framework explicitly recognizes the need to involve appropriate scientific experts and practitioners who study and work with humans in implementing the human action aspect of the framework. Examples of human action include (but are not limited to) studies in human and societal behavior, in policy, economics, psychology, anthropology, or education. Proposals are expected to describe a center that fully integrates human action elements with the knowledge generation portions of the center to produce a holistic, multi-disciplinary center that is greater than the sum of its parts. The center should offer a plan of research in which disciplines are integrated and complement and support each other to produce world class research, train the next generation of workforce, and use best practices to ensure that participant communities and stakeholder groups are involved in all stages of the research process so that outcomes are aligned with their needs and readily adoptable. Within the general theme of Bioeconomy, proposals submitted in the framework of this call must be centered on either or both of the two subtopics: Subtopic 1:Leveraging Biodiversity Across the Tree of Life to Power the Bioeconomy; and Subtopic 2: Biofoundries, using the Design-Build-Test-Learn process in biology. All proposals must integrate both of the two crosscutting themes into the proposed work: Crosscutting Theme A: Public engagement and co-generation of research activities to strengthen the global science and technology enterprise; andCrosscutting Theme B: Workforce Development and Education. See Section II, Program Description for details.
Application Deadline
Jul 24, 2024
Date Added
Jul 15, 2024
With this solicitation, NIJ seeks to support two (2) American Association for the Advancement of Science (AAAS) Science Technology Policy Fellowships (STPF) Fellows at NIJ. The AAAS STPF Fellow, as mutually agreed, will be assigned responsibilities across NIJs science offices depending on the interests of the science offices and the interests of the Fellows. Regardless of placement, the Fellows will have the opportunity to work across offices. The Fellows will have opportunities to engage in a range of science (including social and behavioral science), technology, engineering, and mathematics research development and evaluation projects.
Application Deadline
Jul 28, 2025
Date Added
Feb 24, 2025
This funding opportunity provides financial support for researchers and organizations focused on advancing the understanding and management of water resources through innovative applications in space and Earth sciences.
Application Deadline
Mar 18, 2025
Date Added
Jan 28, 2025
This grant provides funding for U.S. institutions to conduct innovative research using existing lunar data, enhancing our understanding of the Moon's geology, environment, and its role in space exploration.
Application Deadline
Dec 4, 2024
Date Added
Nov 5, 2024
This funding opportunity is designed for research institutions affiliated with the Southern Appalachian Mountains CESU to study climate adaptation in oak-dominated ecosystems and their impact on wildlife, with a focus on species distribution and resource management.
Application Deadline
Aug 6, 2024
Date Added
Mar 27, 2024
The OCRP Pilot Award supports the exploration of innovative concepts or theories in ovarian cancer that could ultimately lead to critical discoveries or major advancements that will drive the field forward. The proposed research must demonstrate a clear focus on ovarian cancer (e.g., using tissues, cell lines, datasets, or appropriate animal models), and serve as a catalyst to expand or modify current thinking about and/or approaches in ovarian cancer. If cell lines or animals are to be used, a clear justification should be provided for the choice of proposed cell line(s) or animal model(s).


