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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

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 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: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: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: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: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...

Buyer: Consorci de Salut i d’Atenció Social de Catalunya | Notice type: cn-standard | Procedure: open | Contract: services | Deadline: 2026-10-09

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...

This Notice of Funding Opportunity (NOFO) invites applications for a Research Coordinating Center (RCC) to participate in a consortium of clinical centers that will test anti-obesity medication (AOM) treatment strategies for youth with obesity that maximize benefits and minimize risks of AOM use. Such intervention strategies should support the promotion of healthy growth and development; adequate nutritional status/intake, healthy eating and physical activity behaviors; mental health and well-being (e.g., body image, self-esteem, mood, etc.), and quality of life and be feasible to implement in clinical care settings. Priority areas include testing strategies to determine optimal developmental stage for AOM initiation, rate and amount of weight loss, AOM class, dose, frequency, and duration, and content and intensity of adjunct lifestyle therapies that may be imperative to ensure normal psychological and physical development and to potentially avoid lifelong dependence on AOMs. Investigators should also evaluate potential predictors of response/ nonresponse to various treatment strategies under evaluation. The clinical centers may conduct independent or multicenter trials but will collaborate on the development of protocols, use of common measures and data elements, use of a central laboratory and standardized procedures to collect data and biospecimens, and data analyses and manuscriptsThe RCC will lead, manage, and harmonize efforts for the Consortium including 1) providing management and administrative support; 2) providing leadership and expertise on statistical design a...

This Notice of Funding Opportunity (NOFO) invites applications from clinical centers to participate in a consortium to test anti-obesity medication (AOM) treatment strategies for youth with obesity that maximize benefits and minimize risks of AOM use. Such intervention strategies should support the promotion of healthy growth and development; adequate nutritional status/intake, healthy eating and physical activity behaviors; mental health and well-being (e.g., body image, self-esteem, mood, etc.), and quality of life and be feasible to implement in clinical care settings. Priority areas include testing strategies to determine optimal developmental stage for AOM initiation, rate and amount of weight loss, AOM class, dose, frequency, and duration, and content and intensity of adjunct lifestyle therapies that may be imperative to ensure normal psychological and physical development and to potentially avoid lifelong dependence on AOMs. Investigators should also evaluate potential predictors of response/ nonresponse to various treatment strategies under evaluation. The clinical centers may conduct independent or multicenter trials but will collaborate on the development of protocols, use of common measures and data elements, use of a central laboratory and standardized procedures to collect data and biospecimens, and data analyses and manuscripts. This NOFO uses a cooperative agreement mechanism (U01) and runs in parallel with a companion NOFO (RFA-DK-27-136).

The overarching goal of this notice of funding opportunity (NOFO) and its companion opportunities is to establish the Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) Program to support development of innovative, reliable, cost-effective, and sustainable multimodal AI-based clinical decision support (CDS) tools. PRIMED-AI CDS tools are based on the integration of clinical imaging with other types of multimodal health data to enhance care for patients with a wide range of health conditions. The PRIMED-AI Program seeks to catalyze the adoption of AI-based CDS tools into clinical workflows to enable novel personalized medicine strategies that address significant health challenges. The purpose of this NOFO is to solicit applications for the design, development, and preliminary validation of robust frameworks for the application of multimodal-artificial intelligence (AI) models for clinical use. Frameworks developed through these awards would populate a "playbook", defined as a collection of actionable guidelines, standardized protocols, and/or standard operating procedures (SOPs) for reliable and effective development and deployment of multimodal AI tools. It is expected that the frameworks delineated in this playbook will directly address PRIMED-AI objectives and needs, while also remaining flexible enough to enable sufficient extensibility and interoperability for use across a broad spectrum of multimodal biomedical AI applications, both internal and external to the PRIMED-AI Program.