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Expected Outcome:This flagship pilot is the culmination of the entire activity catalogue carried out by the CCAM Partnership since its launch in 2021. It will combine in one project the most promising CCAM use-cases across three key domains, with the technological advancements from all its R&I clusters[1] supporting and enabling CCAM systems and services towards market uptake.This action is expected to contribute to all the following outcomes:Large-scale demonstrations of inclusive, user-oriented, and well-integrated CCAM systems and services for people and goods in mixed traffic through Field Operational Tests (FOTs), Technology Pilots, and Living Labs, building upon advanced and emerging SAE Level 2 systems to move towards SAE Level 3 and 4 functionalities, at multiple test sites and corridors showcasing CCAM potential[2], for a minimum of 12 months.Validation of enabling technologies...

Expected Outcome:Proposals are expected to contribute to all following points:The projects must fulfil the performance targets, at the cell and system level, corresponding to the specific targeted application, to be specified in the proposal. Appropriate KPI must be defined for the energy density (volumetric and gravimetric), Power density and C-rate, number of cycles and cost defined under operational conditions.Boost EU competitiveness in next-generation battery technologies for mobility applications.Develop pilot manufacturing capability for next generation lithium-based batteries.Strengthen the EU battery value chain, including new manufacturing equipment, automation, and scalable production processes.Advance the understanding of next-generation battery interfaces at an industrial scale, ensuring manufacturability, durability, and cost-effectiveness. In the case of aviation, the batt...

Expected Outcome:The projects are expected to deliver on one of or combination of the following topic outcomes:Faster transition of district heating systems towards low-temperature operationsFaster transition of building heating systems towards low-temperature operationsIncreased use of renewable energy and/or waste heat. Scope:Low-temperature district heating systems in urban areas offer higher potential for integration of renewable energy sources and waste heat, but their deployment is slowed down because the existing stock of inefficient buildings has been designed for high-temperature heat delivery systems. The topic supports the creation of the conditions necessary for the conversion of existing supply solutions – district heating, as well as individual heating ones – into low-temperature alternatives, along with reducing and optimising the heat load of buildings.Efficient district...

Expected Outcome:Project results are expected to contribute to all of the following expected outcomes:Measurable increase in the number of tools and solutions at district or city level that are supporting the application of circular economy models by public and private stakeholders active in the construction sector;Measurable reduction of material use and an increase of reuse and recycling in the construction sector as a result of the introduction of new and replicable business models;Measurable reduction in the energy and other resources use and the whole life-cycle GHG emissions of buildings[1] and building stock (residential and non-residential) by introducing circular economy activities at building, district and city level. Scope:Applying circularity principles in the construction sector at building, district and city level can reduce the whole life-cycle GHG emissions and support mo...

Expected Outcome:This topic aims at supporting activities that are enabling or contributing to the Climate-Neutral and Smart Cities Mission by accelerating the transition towards climate neutrality in cities. To this end, project results are expected to contribute to all of the following expected outcomes:Cities involved in this action advance in achieving their climate neutrality targets, reducing greenhouse gas and air pollutant emissions by improving energy efficiency in urban and sub-urban public transport systems, complemented by urban mobility service car fleets – taxis, ride-hailing, car sharing and other active and shared mobility services.Comprehensive inventory and assessment of existing instruments and measures to foster electrification and attractiveness of urban and sub-urban public transport systems, urban mobility service car fleets and shared mobility, accompanied by targ...

Expected Outcome:Project results are expected to contribute to all of the following expected outcomes:Methods and tools to support measurement, simulation and validation of non-exhaust pollutant emissions in road and railway transport into the environment;Estimates on the impact of these pollutants on human health, terrestrial ecosystems and the aquatic environment (including biodiversity in these ecosystems) with particular focus on microplastics and other heavier non-airborne particles;Delivery of better emission factors for emission inventories and projections, including the European Monitoring and Evaluation Programme (EMEP), also for resuspension, for which little knowledge exists today;Recommendations and mitigation strategies including the determination of appropriate KPIs and assessing the effectiveness of control measures with an appropriate cost-benefit analysis to understand t...

Expected Outcome:Project results are expected to contribute to all the following expected outcomes: Development of novel and disruptive technologies and innovative concepts that demonstrate at least 25% energy savings for long distance shipping, compared to 2008 levels.Established methodology for assessing the energy savings from the proposed solutions, considering the implementation of the IMO GHG strategy and of the FuelEU Maritime Regulation.Proven scalability and replicability of the developed technologies and concepts to various ship types, operational profiles and navigational routes. Assess the economic viability, environmental and climate impacts of the technologies and innovative concepts.Defined implications and impacts of the proposed solutions regarding safety and operational aspects, also addressing competences and skills issues for the adoption and operation of such technol...

The Algebra and Number Theory program supports research in algebra, algebraic and arithmetic geometry, number theory, and representation theory. Conference proposals The Algebra and Number Theory program also provides support for conferences, workshops, summer/winter schools, and similar activities. Proposals should be submitted to PD 20-1264 using the "Conference" proposal type in research.gov. Proposals with budgets not exceeding $50,000, which in accordance with NSF policy can be reviewed internally, should be submitted: in May for events that will take place in January through April of the following year in October for events that will take place in May through December of the following year. In order to allow time for external review, proposals with budget requests exceeding $50,000 should be submitted nine to twelve months before the event is scheduled to take place.

Machine Learning and Artificial Intelligence (AI) are enabling extraordinary scientific breakthroughs in fields ranging from protein folding, natural language processing, drug synthesis, and recommender systems to the discovery of novel engineering materials and products. These achievements lie at the confluence of mathematics, statistics, engineering and computer science, yet a clear explanation of the remarkable power and also the limitations of such AI systems has eluded scientists from all disciplines. Critical foundational gaps remain that, if not properly addressed, will soon limit advances in machine learning, curbing progress in artificial intelligence. It appears increasingly unlikely that these critical gaps can be surmounted with increased computational power and experimentation alone. Deeper mathematical understanding is essential to ensuring that AI can be harnessed to meet the future needs of society and enable broad scientific discovery, while forestalling the unintended consequences of a disruptive technology. The National Science Foundation Directorates for Mathematical and Physical Sciences (MPS), Computer and Information Science and Engineering (CISE), Engineering (ENG), and Social, Behavioral and Economic Sciences (SBE) will jointly sponsor research collaborations consisting of mathematicians, statisticians, computer scientists, engineers, and social and behavioral scientists focused on the mathematical and theoretical foundations of AI. Research activities should focus on the most challenging mathematical and theoretical questions aimed at understanding...

The purpose of this notice of funding opportunity (NOFO) is to elucidate the key components of the therapeutic effects of rapid-acting psychotropic interventional drugs (RAPIDs) by addressing the methodological challenges involved with these clinical trials. In addition, this NOFO seeks to advance understanding of how RAPIDs and adjunctive psychosocial interventions can be optimally delivered, monitored, and sustained over time to enhance effectiveness and generalizability. The NOFO will support studies designed to enhance the rigor of RAPID clinical trial design, which will ultimately increase the interpretability of the data and the generalizability of the results.

Expected Outcome:Projects are expected to contribute to the following outcomes:To develop and demonstrate innovative AI-driven solutions in materials and process development to enhance the competitiveness and sustainability of the process industries by better products and process technologies and reducing the time to marketTo increase the competitiveness of materials production in Europe by AI-supported optimal operation of plants and value networks and early detection of problems and failuresTo improve the working conditions in the plants by using AI technologies, metaverse, and robots. Scope:Drastically improved AI methods and technologies hold transformative potential for the process industries, enabling advancements in process design, operational efficiency, and faster innovation across the entire lifecycle of plants and products. By using different AI approaches such as multimodal g...

Expected Outcome:Make safer and more sustainable alternatives to substances of concern available to the industries offering products with targeted performances and supporting their competitiveness,Speeding up the innovation cycle within a value chain important for European industry;Enhancing competitiveness of the industries by reducing regulatory and operational costs, while making supply chains more secure;Production processes, chemicals, materials and products that are inherently safer and more sustainable for a clean and autonomous economy; andDemonstrating how the safe and sustainable by design (SSbD) chemicals and materials framework can guide innovation and encourage innovators to minimise the use of substances of concern, reducing negative impacts on human health, climate and ecosystems. Scope:The focus of this topic is on alternatives for the substitution of substances of concer...

Expected Outcome:Increased competitiveness and productivity, through innovative AI-enabled advanced manufacturing processes and operations, including real-time monitoring and adaptive optimisation; andReduction of emissions and alignment with Clean Industrial Deal objectives. Scope:AI approaches in manufacturing processes hold the potential to significantly enhance circularity, process and operational efficiency as well as sustainability of modern factories. Current state-of-the-art technologies have already paved the way for more streamlined operations, yet there remains untapped value in e.g. quality improvement, definition of optimal process operating conditions, reduction of scrap, optimization of energy usage. Real-time monitoring and adaptive optimisation using AI models can enable agile responses to production variability and support sustained, high-performance operations.New solu...

Expected Impact:Projects are expected to deliver results aligned with the expected results set out in this call topic and to evidence their contribution through dedicated KPIs defined in the proposal. Expected results include: • demonstrable and sustainable increase in production capacity for the targeted ammunition, bombs and missiles production lines, enabled by operational joint filling plants and production lines; • measurable reduction of production lead time from order/production decision to delivery in UA; • improved timely availability and supply of defence products for UA, including increased delivery reliability and readiness of production lines; • effective cross-border cooperation between UA and EU that enables production ramp-up, qualification, integration and sustainment. Proposals shall define, baseline and track KPIs such as: filling throughput (e.g., units/month or tonne...

Expected Impact:The results of the activities should contribute to support common procurement, leading to strengthening the cooperation among Member States and associated countries, as well as to greater interoperability. Furthermore, they should contribute to the building up of strategic stockpile of ammunition, missiles, including their components, or to the increase of existing ones, as well as to the development of low-cost unmanned systems for guided strikes adapted to modern warfare scenarios.Objective:This topic aims at actions supporting the common procurement of ammunition (including small arms ammunition, tank and anti-tank ammunitions, artillery ammunition, guided ammunitions), missiles (all types of missiles) and other explosive weapons (including hand grenade, land and naval mines, mortar, rockets, unmanned systems (aerial, ground, surface and underwater vehicles controlled...

Expected Impact:The results of the activities should contribute to support common procurement, leading to strengthening the cooperation among Member States and associated countries, as well as to greater interoperability. Furthermore, they should contribute to the replenishment of depleted stockpiles of counter-drone systems, to the increase of existing stockpiles or to establishment of defence industrial readiness pool, as well as to the development and reinforcement of counter-drone solutions as drones are being increasingly perceived as a pressing threat.Objective:This topic aims at actions supporting the common procurement of integrated systems (e.g. VSHORAD or SHORAD) or parts thereof (including sensors, kinetic or non-kinetic effectors - including direct energy weapons -, command and control solutions) to counter unmanned aerial, ground, surface or underwater vehicles, including th...

Expected Outcome:Project should contribute to all of the following expected outcomes:Research funders, policymakers and research communities in the social sciences and humanities (SSH) are provided with a multi-annual R&I programme on social transformations and resilience, responding to megatrends like climate change and biodiversity loss, digitalisation, demographic changes and unexpected shocks.Research investments on social protection and essential services, future of work, education and skills, and a fair transition to climate neutrality are increased.Stakeholders, including social partners and civil society, and policymakers are provided with evidence-based knowledge, tools and innovative solutions, which contribute to new policies and strategies for strengthening resilience, fairness, inclusiveness and social cohesion at European, national and regional level. Scope:Europe is underg...

The Mathematical Biology Program supports research in all areas of mathematical sciences with relevance to the biological sciences. Successful proposals must demonstrate mathematical innovation, biological relevance and significance, and strong integration between mathematics and biology. Some projects of interest to the Mathematical Biology Program may include development of mathematical theories, methodologies, and tools traditionally seen in other disciplinary programs within the Division of Mathematical Sciences. In general, if a proposal is appropriate for review by more than one NSF program, it is advisable to contact the program officers handling each program to determine when and where the proposal should be submitted and to facilitate the review process. The Mathematical Biology Program regularly seeks joint reviews of proposals with programs in the Directorates of Biological Sciences and other relevant programs. Investigators are encouraged to discuss their project with program officers in relevant areas to determine whether it could be considered by more than one program. Research in Undergraduate Institutions (RUI) Investigators submitting an RUI proposal should read the RUI solicitation (link below), as the rules for proposal format may deviate from the Proposal & Award Policies & Procedures Guide (PAPPG). EAGER and RAPID Proposals Prior to submitting proposals for EArly-concept Grants for Exploratory Research (EAGER) or Rapid Response Research (RAPID), Investigators must contact the cognizant program directors. Requests for Award Supplements Principal Investig...

The purpose of the NCI Pathway to Independence Award for Early-Stage Postdoctoral Researchers (K99/R00) program is to increase and maintain a strong cohort of new and talented, NCI-supported, independent investigators. This program is designed for postdoctoral fellows with research and/or clinical doctoral degrees who do not require an extended period of mentored research training beyond their doctoral degrees. The objective of this award is to facilitate a timely transition of these fellows from their mentored, postdoctoral research positions to independent tenure-track (or equivalent) faculty positions. The program will provide independent NCI research support during this transition to help awardees to launch competitive, independent research careers. Researchers in the scientific areas of cancer control, cancer prevention and cancer data sciences are especially encouraged to work with their institutions to apply. This notice of funding opportunity (NOFO) is designed specifically for candidates proposing to serve as the lead investigator of an independent clinical trial, a clinical trial feasibility study, or a separate ancillary clinical trial, as part of their research and career development. Those not planning an independent clinical trial, or proposing to gain research experience in a clinical trial led by another investigator, must apply to the 'Independent Clinical Trial Not Allowed' companion NOFO (PAR-23-286).

The purpose of the NCI Pathway to Independence Award for Early-Stage Postdoctoral Researchers (K99/R00) program is to increase and maintain a strong cohort of new and talented, NCI-supported, independent investigators. This program is designed for postdoctoral fellows with research and/or clinical doctoral degrees who do not require an extended period of mentored research training beyond their doctoral degrees. The objective of this award is to facilitate a timely transition of these fellows from their mentored, postdoctoral research positions to independent tenure-track (or equivalent) faculty positions. The program will provide independent NCI research support during this transition to help awardees to launch competitive, independent research careers. Researchers in the scientific areas of cancer control, cancer prevention and cancer data sciences are especially encouraged to work with their institutions to apply. This Notice of Funding Opportunity (NOFO) is designed specifically for candidates proposing research that does not involve leading an independent clinical trial, a clinical trial feasibility study, or an ancillary clinical trial. Under this NOFO candidates are permitted to propose a research experience in a clinical trial led by a mentor or co-mentor. Those proposing a clinical trial or an ancillary clinical trial as lead investigator, should apply to the companion NOFOs (PAR-23-287 or PAR-23-288).

The Research Experiences for Teachers (RET) in Engineering and Computer Science program supports authentic summer research experiences for K-14 educators to foster long-term collaborations between universities, community colleges, school districts, and industry partners. With this solicitation, the Directorates for Engineering (ENG) and Computer and Information Science and Engineering (CISE) focus on a reciprocal exchange of expertise between K-14 educators and research faculty and (when applicable) industry mentors. K-14 educators will enhance their scientific disciplinary knowledge in engineering or computer science and translate their research experiences into classroom activities and curricula to broaden their students’ awareness of and participation in computing and engineering pathways. At the same time, the hosting research faculty will deepen their understanding of classroom practices, current curricula, pedagogy, and K-14 educational environments.

NIGMS will support innovative educational activities designed to equip participants with technical, operational, or professional skills required for careers in the biomedical research workforce. Activities must be open to the broader biomedical research community and may focus on participants at one or more career stages from undergraduates to professionals (for example faculty, staff scientists). Funded programs will have a robust program leadership structure, participant recruitment plan, and evaluation and dissemination plans.

Through this Notice of Funding Opportunity (NOFO) is to accelerate the pace of translation of NCI-supported methods/assays/technologies (referred to as "assays") to the clinic. Specifically, the focus of this NOFO is on the adaption and clinical validation of molecular/cellular/imaging markers (referred to as "markers" r "biomarkers") for cancer detection, diagnosis, prognosis, monitoring, and prediction of response in treatment, as well as markers for cancer control and prevention. Research applications may support the acquisition of well-annotated specimens from NCI-supported or other clinical trials or observational cohorts/consortia for the purpose of clinical validation of the assay. Research projects proposed for this NOFO encourage multi-disciplinary interaction among scientific investigators, assay developers, clinicians, statisticians, and clinical laboratory staff. Clinical laboratory scientist(s) and statistical experts are highly encouraged to comprise integral parts of the application. This NOFO is not intended to support early-stage development of technology or the conduct of clinical trials, but rather the adaption and validation of assays to the point where they could be integrated into clinical trials as investigational assays/tools/devices.

Summary: The fiscal year 2026 (FY26) Melanoma Research Program (MRP) Focused Program Award – Rare Melanomas, supports a multidisciplinary research program of at least two, but not more than three, distinct but complementary research projects addressing an overarching question relevant to rare melanomas. Distinctive Features: ·          *Updated for FY26* Investigators must include at least one rare melanoma survivor or patient advocate as part of the project team who will provide advice and consultation throughout planning, implementation, and results dissemination to maximize research impact. ·        This is a partnering mechanism, requiring an Initiating Principal Investigator (PI) and at least one, but not more than two, Partnering PIs, see Figure 1.                    Each named PI is expected to be a Project Leader for one of the proposed research projects. If recommended for funding, each PI will be named on separate awards to the recipient organization(s). ·        After submitting the required pre-application, investigators must receive an invitation to submit a full application.                    Only the Initiating PI will submit a pre-application. All PIs must submit full applications. The Partnering PI(s)’s application is an abbreviated package specific to their proposed research project. ·        Clinical trials are allowed.

Summary: The fiscal year 2026 (FY26) Melanoma Research Program (MRP) Survivorship Research Award addresses the relatively new and underfunded area of melanoma-specific survivorship by supporting a broad range of innovative and impactful research that has the intended outcome of improving the health and well-being of melanoma survivors, their families and/or their care partners in the near term. Proposed studies focusing exclusively on animal models or considering survival only without consideration of quality of life, overall health and/or function are not responsive to this funding opportunity. Distinctive Features: ·        The application must include at least one melanoma consumer collaborator, defined as a melanoma survivor, family member and/or care partner who can provide lived experience expertise to the research project team, or a melanoma-community supporting organization to support the planning, execution, and implementation of the proposed research. ·        Clinical trials are allowed.