Research Interests of the United States Air Force Academy (formerly USAFA-BAA-2021)

American scientists and engineers will power the super intelligence (SI) revolution in science and innovation through the Genesis Mission .  DOE SC hereby invites applications from United States (U.S.) Institutions of Higher Education and domestic doctoral-granting institutions to develop and demonstrate the effectiveness of novel four-year doctoral training pilots with dual competency in SI and another scientific discipline.  Two high-impact research experiences are required as part of the pilot, one at a DOE National Laboratory or SC user facility and one in industry.  The purpose of this pilot is to lay the foundation for the first cohort of Genesis Mission Graduate Fellows, representing a new generation of Ph.D.-level scientists and engineers with exceptional training in SI and scientific disciplines along with practical research experiences. All graduate fellowships supported by this NOFO must support research activities related to SC-relevant Genesis Mission National Science and Technology Challenges as detailed in the Request for Applications (RFA), DE-FOA-0003612 .  

This is a notice of funding opportunity (NOFO) for the NIJ FY 2026 Evaluation of the Effectiveness of the Bureau of Justice Assistance (BJA) Byrne State Crisis Intervention Program (SCIP).1 This opportunity will support research and evaluation to assess the effectiveness of programs funded under FYs 2022-2026 BJA’s Byrne SCIP NOFOs. BJA’s Byrne SCIP provides funding for the creation or enhancement of state crisis intervention court proceedings and related programs or initiatives, including extreme risk protection order (ERPO) programs, as well as mental health courts, drug courts, and veterans treatment courts. Such programs or initiatives can include, but are not limited to: 1) Law enforcement crisis interventions; 2) Court-based programming; 3) Referrals to treatment for people in crisis; and 4) ERPO programs. Applicants may apply to assess multiple program areas where applicable. NIJ anticipates making at least one award per topic area for a total of 4 awards. Applicants should clearly state the program area(s) on the title page. This NOFO invites applications proposing a two-phased evaluation strategy to assess Byrne SCIP. The approach includes: • Phase I: Evaluability Assessments. • Phase II: An Evaluation of the Byrne SCIP’s Effectiveness. Applications to this NOFO should include both phases. Applications that do not meet this requirement would not be considered responsive to this funding opportunity.

Treasury is publishing multiple funding opportunity notices for its RESTORE Act grant programs. This announcement applies only to the Centers of Excellence Research Grants Program.Trust Fund amounts are available to establish one or more Centers of Excellence through competitive subawards to nongovernmental entities and consortia in the Gulf Coast Region, including institutions of higher education. Funds may be used to establish Centers of Excellence, and by those Centers of Excellence for science, technology, and monitoring in one or more of the following disciplines as described in the RESTORE Act and Treasury’s implementing regulations at 31 CFR 34.704: 1) Coastal and deltaic sustainability, restoration, and protection, including solutions and technology that allow citizens to live in a safe and sustainable manner in a coastal delta in the Gulf Coast Region. 2) Coastal fisheries and wildlife ecosystem research and monitoring in the Gulf Coast Region. 3) Offshore energy development, including research and technology to improve the sustainable and safe development of energy resources in the Gulf of Mexico. 4) Sustainable and resilient growth, economic and commercial development in the Gulf Coast Region. 5) Comprehensive observation, monitoring, and mapping of the Gulf of Mexico.Eligible applicants issuing subawards to Center(s) of Excellence must establish and implement a program to monitor compliance with its subaward agreements.

This is a notice of funding opportunity (NOFO) for the NIJ FY 2026 Research and Evaluation on Drones as First Responders. This opportunity seeks proposals for rigorous evaluations of implementations of drone technology to combat violent crime, immigration enforcement, and other law enforcement activities. The goal of this NOFO is to provide actionable information about police implementation of small drones through a collaboration between law enforcement agencies and researchers. NIJ welcomes research and evaluation of drones as first responders (DFR) capabilities, including evaluation of existing capabilities or pilot programs at police departments already using DFR, as well as implementation of new pilot programs or demonstrations. NIJ expects research entities and law enforcement agencies to collaborate on implementing DFR and evaluating operational performance. Law enforcement agencies participating in evaluations will have the option to retain any DFR technology purchased through the NOFO at the study’s conclusion.

The Department of Defense (DoD) announces the Fiscal Year 2027 Defense University Research Instrumentation Program (DURIP). DURIP is designed to improve the capabilities of accredited United States (U.S.) institutions of higher education to conduct research and to educate scientists and engineers in areas important to national defense, by providing funds for the acquisition of research equipment or instrumentation. For-profit organizations are not eligible for DURIP funding.

This is a notice of funding opportunity (NOFO) for NIJ FY 2026 Research and Evaluation on School Safety. This opportunity will support rigorous research and evaluation projects to fill key gaps regarding K-12 safety, specifically focusing on the development, deployment, and operation of: • Anonymous reporting systems for threats of school violence, including mobile telephone applications, hotlines, and internet websites • School threat assessment and intervention teams that include coordination with law enforcement agencies and school personnel This NOFO seeks rigorous outcome/impact evaluations paired with process/implementation evaluations to assess the effectiveness of activities supported by STOP1 School Violence Act (SVA) projects administered by the Bureau of Justice Assistance (BJA) and the Office of Community Oriented Policing Services (COPS Office) School Violence Prevention Program (SVPP) or similar programs from other sources that align with STOP SVA's goals. To develop practical recommendations for K-12 school safety, applicants are strongly encouraged to work closely with educators, school stakeholders, and communities to develop questions, identify solutions, collect data, and interpret findings. Applicants should: • Clearly describe complex factors and how they will be measured. • Include letters of support confirming secondary data access and explain how datasets will be matched to support the analyses proposed. • Describe data limitations, how they will be addressed, and their potential impact on findings.

The Great British Energy (GBE) Supply Chain Fund: Offshore Wind and Networks will award up to £300 million in capital grant funding to build UK manufacturing capacity for key constrained components in offshore wind and enabling electricity networks sectors. Funding must be used to construct new or extend existing manufacturing facilities in the UK. The application window will close 10 December 2026 (or earlier if the Fund's budget is fully allocated).

Silicon Carbide Cladding Lead Test Rod Development-Phase 1Research, development, and fabrication of Silicon Carbide cladding specimens for research reactor insertion, irradiation, and post-irradiation examinations by 2030. The objective of this program is to advance the scientific and technological maturity of silicon carbide cladding for nuclear fuel rods for future use in commercial light water reactors.

Expected Outcome: The successful proposal is expected to further contribute to the expected outcomes specified in topic HORIZON-CL6-2024-GOVERNANCE-02-01: European Partnership of Agriculture of Data, for continuation of the activities in line with already agreed outcomes. Scope: The objective of this action is to continue to provide support to the European partnership of Agriculture of Data identified in the Horizon Europe Strategic Plan 2021-2024 and first implemented under the topic HORIZON-CL6-2024-GOVERNANCE-02-01: European Partnership of Agriculture of Data, and in particular to fund additional activities (which may also be undertaken by additional partners) in view of its intended scope and duration, and in accordance with Article 24(2) of the Horizon Europe Regulation. The consortium which applied to and received funding under HORIZON-CL6-2024-GOVERNANCE-02-01: European Partnership of Agriculture of Data is uniquely placed to submit a proposal to continue the envisioned partnership. Not only did this consortium submit the proposal leading to the identification of the partnership in the Horizon Europe strategic planning 2021-2024, it has also been implementing the…

Expected Outcome: Projects are expected to contribute to all the following expected outcomes: Effective and innovative methods for gathering, sharing and using large data sets in energy applications for the purpose of training AI models while ensuring privacy and security. Advanced and - wherever possible - open-source AI foundation models to support the digitalisation of the energy system, through improved grid observability, forecasting of supply and demand, advanced storage and renewables integration, demand side flexibility and energy efficiency. Enhanced cooperation, knowledge sharing and interoperability among energy system actors for secure and seamless data exchange. Advanced methodologies for AI model development ensuring that the results are FAIR (Findable, Accessible, Interoperable, Reusable) beyond the project ending, open source and accommodating for technology evolution. Scope: The quality of AI models depends strongly on the amount, quality, and representativeness of the data used for their training. Projects are expected to focus on developing, training and testing AI foundation models, using extensive data sets to accelerate the energy transition in key focus…