Grants for For profit organizations other than small businesses - Federal

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

This funding opportunity provides financial support to local Philippine organizations to strengthen the country's capacity to prevent and respond to infectious disease threats through a collaborative, multi-sectoral approach.

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.

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.

The U.S. Department of State, Bureau of Democracy, Human Rights and Labor (DRL) announces an open competition for a project advances responsive, accountable, and rights-respecting governance for citizens by strengthening environmental governance in Pacific Island countries.

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.

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.

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.

The Bureau of Near Eastern Affairs, Office of Assistance Coordination (NEA/AC) seeks to elevate a key untapped labor market to address increasing threats in cyberspace: Women. Womens inclusion in cybersecurity addresses two challenges in the Middle East and North Africa (MENA) region: 1) greater capacity for the private sector to combat cyber threats, and 2) increased job opportunities for women in Science, Technology, Engineering, and Mathematics (STEM) who face logistical and societal constraints to employment. Enhancing the MENA regions private sector cybersecurity capacity supports the U.S. governments goal to foster inclusive economic growth and increase womens participation in STEM-related fields.

With this solicitation BJA seeks to assist state, local, and tribal jurisdictions in reducing crime and improving the functioning of the criminal justice system through more effective information sharing, multi-agency collaboration, and the implementation of data-driven, evidence-based strategies. This will be accomplished by providing support services to the Regional Information Sharing Systems (RISS) Centers and the RISS Technology Support Center (RTSC) under BJAs Justice Information Sharing Training and Technical Assistance (JISTTA) Program.

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.

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.

This funding opportunity provides financial support to organizations working to eliminate child and forced labor in critical mineral supply chains in the Democratic Republic of Congo and Indonesia, promoting fair labor practices and compliance with international standards.

DOE is seeking input from universities, national laboratories, industry, and international entities regarding future work scopes for its major NE-funded research programs. This input includes research ideas, information, comments, feedback, and recommendations. All responses should be submitted via NEUP.gov as per the attached instructions. Eligible applicants include nonprofits with or without 501(c)(3) status, private and public institutions of higher education, for-profit organizations other than small businesses, and small businesses. The grant aims to gather comprehensive input to guide the Office of Nuclear Energy's competitive research and development efforts.

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).