Grants for State governments - Science and Technology

This program provides funding to rural Kansas communities with populations under 5,000 for projects that enhance quality of life, such as childcare improvements, public art, library upgrades, and food retail expansions.

This funding opportunity provides $10.6 million for innovative projects that improve floating offshore wind technology, targeting advancements in port infrastructure, transmission systems, and environmental monitoring tools.

This funding opportunity supports New Jersey Workforce Development Boards in creating partnerships to improve adult literacy and job skills for residents, helping them secure stable employment and achieve self-sufficiency.

This funding opportunity supports research and development of innovative communication technologies to improve communication access for individuals with disabilities who cannot rely on speech alone.

This grant provides funding for innovative research to develop ingestible devices that can sense and stimulate the gut's nervous system to improve stress responses and enhance the performance of military personnel.

This program provides funding to New Hampshire-based artists and creatives to help them improve their business and artistic skills through professional development, training, and promotional activities.

This grant provides financial support to community coalitions across the U.S. that aim to create quality jobs and promote an inclusive workforce in the clean energy sector.

This funding opportunity provides financial support to state agencies, local governments, and nonprofit organizations to improve the efficiency and user experience of the Supplemental Nutrition Assistance Program through modern technology and streamlined processes.

This fellowship provides up to $150,000 over two years to individuals in Minnesota, North Dakota, and South Dakota who are committed to personal growth as leaders and driving equitable, large-scale change in their communities.

This funding opportunity provides financial support to organizations that assist victims of technology-facilitated abuse, such as online harassment and non-consensual image sharing, by enhancing their services and resources.

The FY2025 Weather Program Office Research Programs Announcement - Air Quality Research and Forecasting (AQRF) aims to enhance the nation's air quality prediction capabilities through innovative research and technology development, with a focus on improving emissions modeling, atmospheric composition predictions, and computational efficiency.

This funding opportunity supports innovative research projects aimed at improving the understanding, prevention, and treatment of melanoma, particularly for military and Veteran populations.

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.

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 grant provides funding for researchers to analyze and interpret data from various NASA planetary missions, encouraging innovative scientific investigations and collaborations in the field.

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.

This fully-funded program empowers Georgia-based entrepreneurs and nonprofit leaders from underserved communities by enhancing their leadership skills and providing resources to scale their ventures and create local economic impact.

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.