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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 Impact:The expected benefits of the supported project: Provide quick response to emergency situations identified by the relevant Regional Cable Hub or other entity declaring the emergency situation (Key Performance Indicator). Provide quick average estimated time-to-repair for cable systems in the targeted EU sea basins with at least one landing point in an EU territory (Key Performance Indicator). Increase operational repair capacity in the main European sea basins (Key Performance Indicator). Strengthen the resilience of cable systems in the main European sea basins. Ensure digital sovereignty and strategic autonomy of the EU in the main European sea basins. Objective:This call aims to enhance emergency response capacities and the resilience of backbone networks’ infrastructures by supporting the development and deployment of adaptable repair modules for swift emergency repair...

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: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: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: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 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 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: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: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: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...

Buyer: Enexis Netbeheer BV | Notice type: cn-standard | Procedure: open | Contract: supplies | Deadline: 2026-10-08

Buyer: Alliander N.V. | Notice type: cn-standard | Procedure: open | Contract: works | Deadline: 2026-10-08

Buyer: Infraestruturas de Portugal, SA | Notice type: cn-standard | Procedure: open | Contract: works | Deadline: 2026-10-08

Buyer: GCS Achats Santé en Occitanie | Notice type: cn-standard | Procedure: open | Contract: supplies | Deadline: 2026-10-08

Buyer: SEROC | Notice type: cn-standard | Procedure: open | Contract: services | Deadline: 2026-10-08

Buyer: Gemeente Heerde | Notice type: cn-standard | Procedure: open | Contract: services | Deadline: 2026-10-09

Buyer: Trafikverket Myndighet | Notice type: cn-standard | Procedure: open | Contract: works | Deadline: 2026-10-09

Buyer: Burgergemeinde Biel | Notice type: cn-standard | Procedure: open | Contract: supplies | Deadline: 2026-10-09

Buyer: GRAD ZAGREB | Notice type: cn-desg | Procedure: open | Contract: services | Deadline: 2026-10-09

Buyer: Kraftwerke Oberhasli AG | Notice type: cn-standard | Procedure: open | Contract: works | Deadline: 2026-10-09

Buyer: Kraftwerke Oberhasli AG | Notice type: cn-standard | Procedure: open | Contract: works | Deadline: 2026-10-09

Buyer: Gerencia del Consorcio Maspalomas Gran Canaria | Notice type: cn-standard | Procedure: restricted | Contract: services | Deadline: 2026-10-09

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...