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Expected Outcome:This call for proposals supports implementation of the following key principles of the European Pillar of Social Rights: (3) equal opportunities; (5) secure and adaptable employment; (6) wages; (7)information about employment conditions and protection in case of dismissals; (8) social dialogue and involvement of workers; (10) healthy, safe and well –adapted work environment and data protection. The general objective of this call for proposals is therefore contributing to the implementation of the key principles of the pillar in the area of posting of workers. The specific objectives are the following:a) To promote transnational cooperation among public authorities and stakeholders, including the promotion of the use of IMI and sharing experiences and best practices in this respect;b) To increase the accessibility, transparency and quality of the information concerning th...

HBCU-UP provides awardsto strengthen STEM undergraduate education and research at Historically Black Colleges and Universities (HBCUs).Support is available through thefollowing tracks: Targeted Infusion Projects (TIP), which provide support to achieve a short-term, well-defined goal for enhancing and innovating undergraduate STEM education at an HBCU. Research on Broadening Participation in STEMprojects (BPR), which provide support for researchthat seeks to create and study new theory-driven models and innovations related to the participation and success of underrepresented groups in STEM undergraduate education, especially African Americans. Research Initiation Awards (RIA), which provide support for STEM faculty with no prior or recent research funding to pursue research at the home institution, another research-intensive institution, an NSF-funded research center, or a national laboratory. Implementation Projects (IMP), which provide support to design, implement, study, and assess comprehensive institutional efforts for increasing the number of students receiving undergraduate degrees in STEM and enhancing their preparation by strengthening STEM education and research. Broadening Participation Research Centers (BPRC),which provide support to create centers that conduct research on STEM education and broadening participation and build the intellectual infrastructure to facilitate the creation, integration, and transfer of new knowledge. Other Funding Opportunities include EArly-Concept Grants for Exploratory Research (EAGER), Rapid Response Research (RAPID), conference, a...

Summary: The fiscal year 2026 (FY26) Pancreatic Cancer Research Program (PCARP) Focused Pilot Award supports the exploration and development of impactful and innovative concepts under a patient-centered focus area of pancreatic cancer research that could ultimately lead to major advancements that will have a profound effect on patients’ overall quality of life. The research this award supports should strive to produce robust preliminary data that can serve as a foundation for future clinical or real-world research application. Distinctive Features: This award mechanism allows, but does not require, preliminary data. Applications can support clinical research studies; however, this mechanism does not allow clinical trials. Preclinical animal studies do not meet the intent of this mechanism.

Summary: The fiscal year 2026 (FY26) Pancreatic Cancer Research Program (PCARP) Translational Research Partnership Award supports partnerships between clinicians, population scientists, applied scientists and/or basic scientists that will accelerate the movement of promising ideas in pancreatic cancer toward clinical applications. The partnership must include at least one member with expertise in pancreatic cancer research or pancreatic cancer patient care. All applications must address at least one of the FY26 PCARP Focus Areas. ·        This award mechanism requires preliminary data to support feasibility of the research hypothesis(es) and research approaches. However, these data do not necessarily need to originate from studies of pancreatic cancer. Applications can support retrospective tissue analysis, correlative studies and pilot clinical trials; however, this mechanism does not allow large-scale clinical trials. ·        The Translational Research Partnership Award requires two Principal Investigators (PIs) referred to as the Initiating PI and the Partnering PI. Only the Initiating PI will submit a pre-application, but both PIs will need to submit at the full application stage. The partnering PI’s application is an abbreviated package specific to their distinct portion of the research project. Be advised, all associated applications for a research project may be withdrawn if the initiating or partnering application is rejected or administratively withdrawn.

Summary: The fiscal year 2026 (FY26) Pancreatic Cancer Research Program (PCARP) Idea Development Award supports the development of innovative, high-risk/high-reward research that could lead to critical discoveries or major advancements that will accelerate progress in improving outcomes for individuals with pancreatic cancer. This award mechanism supports innovative ideas with the potential to yield impactful data and new avenues of investigation. All applications must address at least one of the FY26 PCARP Focus Areas. Distinctive Features: This award mechanism requires preliminary data relevant to the proposed project. Applications can support clinical research studies; however, this mechanism does not allow clinical trials. Partnering Principal Investigator (PI) Option for Early-Career Investigator: This funding mechanism offers a higher level of funding for applications that propose to partner an experienced PI (i.e., Initiating PI, who will serve as the mentor) with an Early-Career Investigator (i.e., Partnering PI) wishing to pursue a career in pancreatic cancer research. For this option, only the Initiating PI will submit a pre-application, but both PIs will need to submit at the full application stage. The partnering PI’s application is an abbreviated package specific to their distinct portion of the research project. Be advised, all associated applications for a research project may be withdrawn if the initiating or partnering application is rejected or administratively withdrawn.

Expected Outcome:Project results are expected to contribute to some of the following expected outcomes:Improved quality and reduced uncertainty of global and regional climate change projections;Critical knowledge and data gaps in Earth system science as identified in the IPCC Sixth Assessment Report (AR6) and other authoritative sources, are addressed, ensuring that future climate assessments are grounded in the most comprehensive and up-to-date scientific evidence;New climate science evidence is generated that is relevant for policy needs and for informing climate action. Scope:The global community’s ability to mitigate and adapt to climate change requires the continuous advancement of climate science and related disciplines. International climate policy is informed primarily by the assessments made by the Intergovernmental Panel on Climate Change (IPCC), which provides the most compreh...

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: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 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: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: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...