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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...

Expected Outcome:Project results are expected to contribute to all of the following expected outcomes:Implementation of the NWRSA methodology for secondary rural roads;Innovative and effective enforcement strategies, incentive mechanisms and measures raising risk awareness for fostering safer behaviour;Prevention strategies for reducing road fatalities and serious road traffic injuries on rural roads along with the respective implementation guidelines and policy measures tailored to the responsible stakeholders (regional authorities, police, healthcare professionals, national governments, etc.);GIS-based application to assist local and regional authorities in identifying and mapping the impact of extreme weather phenomena and other natural disasters (such as floods, fires, storms, heavy snowfall etc.) on the safety and resilience of the road network in their jurisdiction. Scope:With more...

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:Project results are expected to contribute to all of the following outcomes:Valorisation, cross-fertilisation and dissemination of innovative solutions for sustainable urban mobility, from EU and national projects through the CIVITAS initiative;Contribution to the accelerated deployment of innovative urban mobility solutions, increasing competitiveness of European urban mobility actors while achieving European mobility policy objectives.Cities are equipped with a relevant knowledge, necessary soft and technical skills to successfully deploy smart and sustainable mobility solutions, for passenger and freight.A vibrant community of urban innovative mobility stakeholders is maintained and strengthened. Scope:Effective and efficient urban mobility systems are the backbone of competitive cities, without them the economy comes to a standstill. While cities are going through a...

Expected Outcome:Project results are expected to contribute to all the following expected outcomes:Advanced tools and solutions are developed and demonstrated to enhance the competitiveness of European multimodal freight transport networks, ensuring sustainability, resilience, security and increased freight transport capacity;Solutions provide real-time visibility, tracking and predictive analytics for multimodal services, performance, and network status (e.g., disruptions, maintenance) to support better planning and increase shippers' adoption of multimodal transport;Strengthened integration of multimodal (e.g. rail, inland waterway transport and short sea shipping) data, along with improved synchromodal solutions, enabling more agile, flexible, responsive and resilient multimodal transport logistic systems. Scope:Freight transport demand in Europe is expected to double in the coming de...

Expected Outcome:Project results are expected to contribute to all the following expected outcomes:Availability and integration of advanced, trustworthy, energy-efficient perception systems, exploiting technological advancements of Generative AI (GenAI) to enhance situational awareness and support safe decision-making;Enhanced Vulnerable Road User (VRU) safety, based on elevated, more temper-proof perception and understanding of their behaviour and intention predictions;Enhanced robustness of CCAM systems - both on-board and on the infrastructure side - in critical situations due to their training, virtual testing and validation in scenarios generated by GenAI, complementing existing scenario databases for the testing and validation of CCAM systems;Enhanced understanding of the relevance and limitations of using GenAI for CCAM;Tools and harmonised approaches for the use of GenAI in mobil...

Expected Outcome:Project results are expected to contribute to all the following expected outcomes:Development of systems that utilize real-time data analytics to dynamically respond to disruptions, allowing transport and infrastructure operators to adjust operations swiftly and efficiently;Development of predictive maintenance strategies applying innovative Generative AI solutions and utilizing other digital technologies to anticipate and prevent infrastructure and equipment failures;Development of guidelines and tools to support passenger transport operators and authorities to ensure minimal disruption in unexpected and critical situations and organise real life emergency simulations;Deployment of training programme for transport and infrastructure operators on how to handle transport disruption, including tools and catalogue with contingency planning for specific transport disruptions...

Expected Outcome:Project results are expected to contribute to all the following expected outcomes:Assessment of Europe’s CCAM position in global competition, identifying strategic vulnerabilities, dependencies and opportunities across business models, supply chains, critical components, technological capabilities, infrastructure, and regulatory frameworks, supported by advanced AI-driven analytics and innovation mapping tools.Stakeholder-driven, participatory future scenarios and strategic pathways that define Europe’s leading role in the evolving geopolitical, technological, and economic landscape of CCAM. These should be developed using advanced foresight methods (e.g. qualitative scenarios, horizon scanning, technology roadmapping, etc.), complemented by iterative validation through a minimum of 3 dedicated Living Labs selected to represent diverse European regions, urbanisation leve...

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: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...

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: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 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 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 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: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 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 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.

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).

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.