πŸ›‘οΈ Defence Grants Aggregator

Open & upcoming calls

312 results
ANR-ASTRID

Fourth joint transnational co-financed call of the Sustainable Blue Economy Partnership (SBEP): Building a sustainable and innovative Blue Economy: mastering digital opportunities and fostering resilience

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to boost the transformation needed towards a climate-neutral, sustainable, productive, and competitive blue economy by 2030 while creating and supporting the conditions for a sustainable ocean for the people by 2050. This fourth co-funded call aims to support transnational research and innovation projects of 36 months duration, addressing one of the four priority areas below (subject to funded priority areas by participating funding organisations, see Annex): Priority area 1: Transitioning the blue economy sectors for sustainability and strategic autonomy Priority area 2: Managing sea-uses by advancing digital and ecosystem-based approaches Priority area 3: Promoting sustainable blue bioresources through innovation in production and harvesting Priority area 4: Building resilience in coastal communities with infrastructure and businesses Projects in this co-funded call must be impact-driven contributions to the transformation into a blue economy for a more resilient future and towards carbon neutrality targets, following an impact pathway approach. The proposals are recommended to consider a minimum of two European sea basins and to assess the project proposal’s impact on various basins. Proposals can target European regional seas such as Adriatic Sea, Aegean Sea, Arctic, Barents Sea, Celtic Sea, etc. however the recommended sea basins to address are: the Baltic Sea, the Black Sea, the Mediterranean Sea, the North Sea and the Atlantic Ocean. The fourth co-funded call of this E

πŸ’‘ Innovation / R&D
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ANR-ASTRID

Foundations for climate-resilient cultural heritage: Assessing and managing impact and risk, dealing with damage and loss (RCH)

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ed at collaborative and innovative research projects designed to strengthen societal resilience through cultural heritage in Europe and beyond. The French National Research Agency (ANR) will launch a call for transnational projects in October 2026 under the Resilient Cultural Heritage (RCH) Partnership, aiming to make cultural heritage more resilient and to rethink the links between social sciences and humanities, heritage sciences and climate sciences. This call will take place in two (2) stages: submission of pre-proposals and full proposals. Call opening: October 26 th 2026 (indicative) Deadline for pre-proposal submissions: January 11 th 2027 (indicative) The objective of this call is to fund research and innovation projects that contribute to renewing the approach to cultural heritage in the face of climate change challenges. This will be achieved through a transdisciplinary approach combining humanities and social sciences, engineering sciences, and climate sciences. The funded projects are expected to generate knowledge and resources that can be used by decision-makers to implement heritage and climate policies aligned with ongoing challenges. Sub-theme 1: Risk and impact assessment and cultural heritage risk preparedness and management Sub-theme 2: Managing the loss and damage of cultural heritage impacted by climate change-induced natural hazards Sub-theme 3: Traditional, local and indigenous knowledge systems and practices as resources and frameworks for societal re

πŸ’‘ Innovation / R&D
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ANR-ASTRID

Fifth edition of the transnational call for projects of the European Partnership Driving Urban Transitions with a focus on urban areas (DUT)

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of the DUT Joint Call 2026, is to fund transnational research and innovation projects on urban challenges, at an international level in order to help cities in their transition to a more sustainable economy. Our future relies on tackling complex grand challenges now, many of which must be addressed within cities and by urban communities. Cities and urban areas are the nexus for the transformations required if the European Union (EU) is to achieve the targets of the European Green Deal (EGD) and to fulfil commitments related to the United Nations (UN)’ Agenda 2030 Sustainable Development Goals (SDGs), UN-Habitat’s New Urban Agenda, the Urban Agenda for the European Union, the Paris Agreement and to support the New European Bauhaus (NEB) movement. The Driving Urban Transitions (DUT) Partnership aims to address these challenges with an integrated approach to offer decision makers in municipalities, companies and, more generally, society the means to enact and enable the necessary urban transformations. Furthermore, the DUT Partnership aims to develop, through research and innovation (R&I) projects, skills and tools (including technology) to make urban change happen and boost the urgently needed urban transformations, and to bring existing and new knowledge and evidence into action. The main goal of the Driving Urban Transitions Partnership is to support research and/or innovative transnational projects on urban challenges to help cities in their transition towards a more sustain

πŸ’‘ Innovation / R&DπŸ›οΈ Government / Public Sector
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NSF

Artificial Intelligence, Formal Methods, and Mathematical Reasoning (AIMing)

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The Artificial Intelligence, Formal Methods, and Mathematical Reasoning (AIMing) program seeks to support research at the interface of innovative computational and artificial intelligence (AI) technologies and new strategies/technologies in mathematical reasoning to automate knowledge discovery. Mathematical reasoning is a central ability of human intelligence that plays an important role in knowledge discovery. In the last decades, both the mathematics and computer science communities have contributed to research in machine-assisted mathematical reasoning, encompassing conjecture, proof, and verification. This has been in the form of both formal methods and interactive theorem provers, as well as using techniques from artificial intelligence. Recent technological advances have led to a surge of interest in machine-assisted mathematical reasoning from the mathematical sciences, formal methods, and AI communities. In turn, advances in this field have potential impact on research in AI. *Who May Submit Proposals: Proposals may only be submitted by the following: -null -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. -Institutions of Higher Education (IHEs) - Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members. *Who May Serve as PI: As of the date the proposal is submitted, any PI, co-PI, or senior/key personnel must hold either: · a tenured or tenure-track position, or · a primary, full-time, paid appointment in a research or teaching position at a US-based campus of an organization eligible to submit to this solicitation (see above), with exceptions granted for family or medical leave, as determined by the submitting organization. Individuals with prim

πŸ€– AI / Machine LearningπŸ₯ Medical / CBRNπŸŽ“ Education / Training
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Max funding: $1,200,000
NSF

Materials Innovation Platforms (MIP)

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Materials Innovation Platforms (MIP) is a mid-scale infrastructure program in the Division of Materials Research (DMR) designed to accelerate advances in materials research. MIPs respond to the increasing complexity of materials research that requires close collaboration of interdisciplinary and transdisciplinary teams and access to cutting edge tools. These tools in a user facility benefit both a user program and in-house research, which focus on addressing grand challenges of fundamental science and meet national needs. MIPs embrace the paradigm set forth by the Materials Genome Initiative (MGI), which strives to “discover, manufacture, and deploy advanced materials twice as fast, at a fraction of the cost,” and conduct research through iterative “closed-loop” efforts among the areas of materials synthesis/processing, materials characterization, and theory/modeling/simulation. In addition, they are expected to engage the emerging field of data science in materials research. Each MIP is a scientific ecosystem, which includes in-house research scientists, external users and other scientists who, collectively, form a community of practitioners and share tools, codes, samples, data and know-how. The knowledge sharing is designed to strengthen collaborations among scientists and enable them to work in new ways, fostering new modalities of research and training, for the purpose of accelerating discovery and development of new materials and novel materials phenomena/properties, as well as fostering their eventual deployment. The scientific focus of the MIP program is subject to change from competition to competition. Information about the existing MIPs, from two previous competitions in 2015 and 2019, can be found at mip.org. The third MIP competition, in 2025, will accept proposals on alloys, amorphous, and composite materials. Given that the second MIP competition included an emphasis on biomaterials and polymer research, proposals mainly on th

πŸ”© Materials & Components🎯 Simulation & TrainingπŸ’‘ Innovation / R&D
Deadline: β€”
Max funding: $30,000,000
NSF

Quantum Leap Challenge Institutes (QLCI)

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Quantum Leap Challenge Institutes are large-scale interdisciplinary research projects motivated by major challenges at the frontiers of quantum information science and technology (QIST). Institutes are expected to catalyze breakthroughs on important problems underpinning QIST, for example in the focus areas of quantum computation, quantum communication, quantum simulation and/or quantum sensing. Successful institutes will coordinate a variety of approaches to specific scientific, technological, and educational goals in these fields, including multiple institutions and building upon multiple disciplines, as motivated by the science and engineering challenges. In so doing, Institutes will nurture a culture of discovery, provide education, training, and workforce development opportunities in the context of cutting-edge research, and demonstrate value-added from synergistic coordination within the institute and with the broader community. Partnerships, infrastructure, industry engagement, outreach, international collaboration, and new applications for QIST should be fostered by Institutes in support of their research, education, and coordination goals. The QLCI program can support awards to continue existing Quantum Leap Challenge Institutes or to establish and operate new Quantum Leap Challenge Institutes. In either case, proposers should follow the same guidance for Challenge Institute proposal preparation described in this solicitation. While this is a crosscutting program, proposals responding to this solicitation must be submitted to the Office of Strategic Initiatives (OSI) in the Directorate of Mathematical and Physical Sciences (MPS). They will subsequently be managed by a cross-disciplinary team of NSF Program Directors. The QLCI program enables NSF multidisciplinary centers for quantum research and education as called for in the National Quantum Initiative (NQI) Act1 and an NQI Advisory Committee report, Renewing the National Quantum Initiative: Recommendati

πŸ”© Materials & ComponentsπŸ“» C4ISR / Command & Control🎯 Simulation & TrainingπŸŽ“ Education / Training
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Max funding: $45,000,000
NSF

Strengthening American Infrastructure (SAI)

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Strengthening American Infrastructure (SAI) is an NSF program seeking to stimulate human-centered, use-inspired, fundamental and potentially transformative research aimed at strengthening America’s infrastructure. Effective infrastructure provides a strong foundation for socioeconomic vitality and broad improvement in quality of life. Robust, reliable and effective infrastructure spurs private-sector innovation, grows the economy, creates jobs, makes public-sector service provision more efficient, strengthens communities, promotes equal opportunity, protects the natural environment, enhances national security and fuels American leadership. Achieving these objectives requires the integration of expertise from across all science and engineering disciplines. SAI focuses on how fundamental knowledge about human reasoning and decision-making, governance, and social and cultural processes enables the building and maintenance of effective infrastructure that improves lives and society and builds on advances in technology and engineering. Successful projects will represent a convergence of expertise in one or more social, behavioral or economic sciences, deeply integrated with other disciplines to support substantial and potentially pathbreaking fundamental research applied to strengthening a specific focal infrastructure. General inquiries regarding this funding opportunity should be sent to NSF-SAI@nsf.gov. *Who May Submit Proposals: Proposals may only be submitted by the following: -For-profit organizations: U.S.-based commercial organizations, including small businesses, with strong capabilities in scientific or engineering research or education and a passion for innovation. -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. -Institutions of Higher Education (IHEs): Two- and

πŸ’‘ Innovation / R&DπŸ”’ Security (general)πŸ›οΈ Government / Public SectorπŸŽ“ Education / Training
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Max funding: $750,000
DARPA-I2O

Office-wide BAA: IPTO

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This Broad Agency Announcement (BAA) seeks revolutionary research ideas for topics not being addressed by ongoing IPTO programs or other published solicitations. | See IPTO

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NSF

Foundations for Operating the National Artificial Intelligence Research Resource: the NAIRR Operations Center (NAIRR-OC)

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The National Artificial Intelligence Research Resource (NAIRR) Pilot is a pioneering public-private initiative to catalyze a competitive national artificial intelligence (AI) ecosystem for discovery and innovation by connecting U.S. researchers and educators to the most advanced public and private-sector computational and data platforms, datasets, software, AI models, and technological expertise necessary to accelerate AI-driven discovery and innovation. Beginning in January 2024, U.S. National Science Foundation (NSF) – together with 14 other federal agencies and 28 private sector partners – established the NAIRR Pilot, which has immediately advanced innovative AI and science research and accelerated AI workforce training and education. As recommended by America's AI Action Plan, the NAIRR Operations Center (NAIRR-OC) will serve as a lean and sustainable operations capability and be the focal point for operational transition from the current Pilot towards a sustainable long-term NAIRR. This solicitation seeks proposals to establish a community-based organization that will be responsible for the foundational visioning, coordination, operations, and development activities in support of an integrated national infrastructure for AI research and education. The resulting award would advance the National Artificial Intelligence Research Resource (NAIRR) vision for a public-private partnership to accelerate AI innovation and national competitiveness. This NAIRR Operations Center (NAIRR-OC) will be responsible for the following overarching goals and responsibilities: Organizational leadership: Establishing the operational framework, organizational management, and success metrics for the NAIRR and its successful operations according to the vision, goals, and requirements established by the NSF and other federal partners. Building NAIRR capabilities and community: Undertaking specific development activities in support of NAIRR stakeholders, including interfacing with partne

πŸ€– AI / Machine Learning🎯 Simulation & TrainingπŸ’‘ Innovation / R&DπŸŽ“ Education / Training
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Max funding: $35,000,000
NSF

Science and Technology Centers: Integrative Partnerships

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The Science and Technology Centers (STC): Integrative Partnerships program supports exceptionally innovative, complex research and education projects that require large-scale, long-term awards. STCs focus on creating new scientific paradigms, establishing entirely new scientific disciplines, and developing transformative technologies which have the potential for broad scientific or societal impact. STCs conduct world-class research through partnerships among institutions of higher education, national laboratories, industrial organizations, other public or private entities, and via international collaborations, as appropriate. They provide a means to undertake potentially groundbreaking investigations at the interfaces of disciplines and/or highly innovative approaches within disciplines. STCs may involve any area of science and engineering that NSF supports. STC investments support the NSF vision of creating and exploiting new concepts in science and engineering and providing global leadership in research and education. Centers provide a rich environment for encouraging scientists, engineers, and educators to take risks in pursuing discoveries and new knowledge. STCs foster excellence in education by integrating education and research, and by creating connections between learning and inquiry so that discovery and creativity fully support the learning process. NSF encourages input and participation in the STC program from the full spectrum of diverse talent that society has to offer which includes underrepresented and underserved communities. In addition, NSF expects STCs to both involve individuals who are members of groups that have been traditionally underrepresented in science, engineering and mathematics at all levels within the Center (faculty, staff, students, and postdoctoral researchers) as well as be a leader in broadening participation in STEM. Centers may use either proven or innovative mechanisms based on the relevant literature to address matters su

πŸŽ“ Education / Training
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Max funding: $6,000,000
NSF

OCE Education

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OCE Education supports efforts to integrate ocean research and education via two main program areas, which are: 1) Research Experiences for Undergraduates (REU) Site Program. This program provides funding to Universities and Marine Laboratories that allows them to offer summer internships to undergraduate students who would like to participate in ocean-related research efforts. Proposals may be submitted annually (August deadline). 2) Faculty Early Career Development (CAREER). This program supports pre-tenure researchers who would like to combine their research efforts with excellent educational programs. Proposals may be submitted annually (July deadline). The Ocean Education program is the point of contact for anyone interested in submitting Ocean Technical Education, Research Experiences for Teachers (RET), Geoscience Veterans Education and Training Supplements (GEO-VETS), and Research Experiences for Undergraduate (REU) supplement requests. RET, GEO-VET, and REU supplements are funded through the OCE science programs and have no application deadlines.

🎯 Simulation & TrainingπŸŽ“ Education / Training
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DARPA-I2O

SBIR: CORPS

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This topic seeks a software tool that forecasts casualty loads and evaluates lifesaving medical response options during large-scale emergencies in austere, comms-denied settings. | See Topic

πŸ₯ Medical / CBRN
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DARPA-I2O

SBIR: TRIAGE-X

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This topic seeks to develop and demonstrate capability with autonomous medical triage systems to recognize chemical toxidromes and physically deliver the corresponding antidote or life-saving intervention. | See Topic

πŸ₯ Medical / CBRN
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NSF

Data Science Corps (DSC)

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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 in science, 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 the Directorate 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 Thi

🎯 Simulation & TrainingπŸ›οΈ Government / Public SectorπŸŽ“ Education / Training
Deadline: β€”
Max funding: $1,200,000
NSF

Discovery Research PreK-12 Program Resource Center on Transformative Education Research and Translation (DRK-12 RC)

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This solicitation seeks proposals for the Discovery Research PreK-12 program’s Resource Center (DRK-12 RC) on Transformative Education Research and Translation. The DRK-12 RC will be an intellectual partner as NSF seeks to enhance the overall influence and reach of the DRK-12 Program’s research and development investments. In this partner role, the DRK-12 RC will support and recruit diverse, multi-sector constituencies with the goal of achieving the field-, knowledge-, and partnership-building aims of the DRK-12 program. Further, it is expected that the Resource Center on Transformative Education Research and Translation will play a central role in helping the DRK-12 Program to: (1) identify and share promising resources, tools, approaches, and research findings with teachers, school leaders and administrators and policymakers for feedback, strategic use and the advancement of science; (2) facilitate communication and collaboration among current, former, and prospective DRK-12 award recipients as a means of building STEM education researchers’ capacity to conduct rigorous and meaningful work across the full range of project types supported by the program; and (3) further raise the national visibility of the DRK-12 program's goals and impacts. The DRK-12 RC is expected to work collaboratively with NSF and the DRK-12 Program’s constituent communitiesβ€”including other NSF resource hubs and centersβ€”to design, implement, and evaluate these three broad activities. *Who May Submit Proposals: Proposals may only be submitted by the following: -For-profit organizations: U.S.-based commercial organizations, including small businesses, with strong capabilities in scientific or engineering research or education and a passion for innovation. -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educat

πŸ“» C4ISR / Command & ControlπŸ’‘ Innovation / R&DπŸŽ“ Education / Training
Deadline: β€”
Max funding: $5,000,000
DARPA-I2O

Industry Day: BEAMERS

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DARPA will host an Industry Day in support of the BEAMERS program on Sept. 30, 2026, in Arlington, Va. This event will be conducted in two parts: Government presentation (SECRET) and a poster session (CUI). | See Event

πŸ›οΈ Government / Public Sector
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DARPA-I2O

Industry Day: D2 Sprint

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BTO is hosting a virtual Industry Day for the D2-Sprint prize competition, which seeks autonomous algorithms to enable hands-free DD Form 1380 documentation and real-time TCCC clinical decision support using passive sensor data. | See Event

πŸ“‘ Sensors
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DARPA-I2O

Industry Day: Surgical Competition

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BTO will host a virtual Industry Day for potential competitors in the DARPA Surgical Competition (DSC) on Nov. 4, 2026.| See Event

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UKRI

Competition guidance for developing digital roads and improving air quality (feasibility study and development or pilot, 2 phases): SBRI competition

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Highways England is funding 2 parallel competitions for solutions and ideas for the design and use of UK roads. This competition is for unproven feasibility projects (low TRL). To lead a project, you can: be an organisation of any size work alone or with others as subcontractors Your idea must be suitable for trial on the strategic road network in England . Please read the full competition scope before you apply.

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DARPA-I2O

Proposers Day: Office-wide TTO

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TTO is sponsoring a Proposers Day to provide information to potential proposers on the objectives of the TTO Office-Wide (OW) Solicitation. | See Event

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