Grants for Public and State controlled institutions of higher education - Science and Technology

This funding opportunity supports higher education institutions in training researchers with advanced degrees to improve employment outcomes for individuals with disabilities, emphasizing the inclusion of trainees with disabilities.

This funding initiative provides financial support for archaeological and scientific research in the Faya Palaeolandscape of Sharjah, UAE, targeting researchers with a PhD and a strong background in relevant fields to enhance understanding of the region's prehistoric human settlement and environmental conditions.

An Ideas Lab is an intensive meeting that brings together multiple diverse perspectives to focus on finding innovative cross-disciplinary solutions to a grand challenge problem (see below and PAPPG Chapter II.F.6. for more information about this type of proposal). The goal of the Personalized Engineering Learning Ideas Lab is to extend engineering education research to enable advanced personalization in pedagogy and assessment in a K-12 or higher education context. The following broad areas have been identified as possible avenues to advance knowledge: personalized engineering education, multimodal sensing for personalized learning systems and team-based personalized learning. This Ideas Lab aims to bring together experts from diverse scientific, engineering and education backgrounds to develop innovative technologies and solutions to achieve personalized learning for engineering education. This Ideas Lab is organized by the Office of Emerging Frontiers and Multidisciplinary Activities (EFMA), the Division of Engineering Education and Centers (EEC), and the Division of Civil, Mechanical and Manufacturing Innovation in the Directorate for Engineering (ENG); the Division of Information and Intelligent Systems (IIS) in the Directorate for Computer and Information Science and Engineering (CISE); the Division of Behavioral and Cognitive Sciences in the Directorate for Social, Behavioral and Economic Sciences (SBE); the Division of Graduate Education, the Division of Research on Learning in Formal and Informal Settings, and the Division of Undergraduate Education in the Directorate for STEM Education (EDU); and the Division of Translational Impacts in the Directorate for Technology, Innovation and Partnerships (TIP). INFORMATIONAL WEBINAR: The Emerging Frontiers and Multidisciplinary Activities (EFMA) Office will host an informational webinar in October 2023 to discuss the Ideas Lab: Personalized Engineering Learningsolicitationandtoanswer questions. Details on how to join this webinar will be posted on the EFMA Website.

This grant provides funding for U.S.-based researchers and institutions to study and model the effects of climate change on slow-moving landslides in western California and southern Alaska using advanced remote sensing and ground-based technologies.

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.

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 to organizations in New York to deliver essential work readiness training for individuals facing employment barriers, helping them develop the skills needed to succeed in the workforce.

This funding opportunity provides financial support for research projects aimed at developing and evaluating innovative strategies to prevent interpersonal violence and suicide among youth and young adults aged 10 to 24.

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.

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 HDR-DSC@nsf.gov.

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 organizations to develop advanced neutrino detectors using quantum sensing technologies, targeting improved detection capabilities for neutrinos from various sources, including nuclear reactors.

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.

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.

This funding opportunity provides financial support for non-profit organizations to manage and operate the Edward M. Kennedy Center in Bangladesh, promoting cultural exchange, education, and professional development while strengthening U.S.-Bangladesh relations.

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.

The Jazz & Heritage Presenting Grant, offered by the New Orleans Jazz & Heritage Foundation, is designed to create job opportunities for Louisiana performing artists. This is achieved by providing financial support to local nonprofit organizations. The core purpose of the grant aligns directly with the Foundation's broader mission: to promote, preserve, perpetuate, and encourage the music, culture, and heritage of Louisiana communities. By funding events that employ local musicians, dancers, actors, and other onstage performers, the grant contributes to the Foundation's strategic objective of supporting cultural, educational, civic, and economic activities within the state. The primary beneficiaries of this grant are Louisiana-based arts nonprofit organizations and, by extension, Louisiana-based musicians and performing artists. The impact goal is to facilitate increased employment opportunities for these artists through festivals, concerts, and other public cultural events. The grant specifically focuses on live public performance fees, ensuring that the funds directly support artists' livelihoods. This strategic focus ensures that the grant's resources are channeled into direct artistic engagement and economic support for the performing arts sector. The grant prioritizes activities that occur between September 1, 2024, and August 31, 2025, emphasizing a clear timeline for impact. Eligibility is restricted to 501(c)(3) organizations or registered Louisiana nonprofits, with individuals and commercial organizations explicitly excluded. This ensures that the funding reaches established entities committed to public benefit and cultural development. The expectation is that successful applicants will demonstrate a strong alignment between their proposed activities and the Jazz & Heritage Foundation's mission, thereby contributing to the broader cultural fabric of Louisiana. Expected outcomes include a measurable increase in the number of paid performance opportunities for Louisiana artists and a greater proliferation of cultural events across the state. While specific metrics are not detailed, the emphasis on "job opportunities" and "employment opportunities" suggests a focus on the economic empowerment of artists. The Foundation's theory of change posits that by supporting nonprofit organizations in hiring local talent, it can directly contribute to the sustainability of Louisiana's unique cultural heritage and provide economic stability for its artists. The maximum grant amount of $7,500 ensures that funds can support numerous smaller-scale initiatives, fostering a broad impact across various communities and cultural expressions.

This funding opportunity supports innovative research projects aimed at reducing lung cancer deaths and suffering, particularly those that involve military or Veteran populations, by providing up to $800,000 for early-stage studies in various areas of lung cancer research.

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.