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606 atvirų kvietimų · Europos Sąjunga
Palaeoclimate science for a better understanding of Earth system dynamics
Expected Outcome:Project results are expected to contribute to some of the following outcomes:Better process understanding of past climate changes at different time scales, their variability and interactions with ecosystems, leading to improved Earth system models;Future climate change scenarios produced in light of past changes in the Earth system, in particular warm climates/high sea-level situations, and abrupt transitions;Identification of thresholds in Earth system components and better characterisation of driving mechanisms and feedbacks that may be responsible for non-linear behaviours, including indicators of abrupt changes, and early warning signals within palaeoclimate records;Synthesis of climate variations that can serve as fundamental basis for IPCC assessments and benchmarks for model inter-comparisons. Scope:Palaeoclimatic (including geological, biological and ice-core) records provide information on the long-term evolution of the climate, as well as the conditions and processes that can drive physical and ecological systems during warm and cold periods, deglaciations and abrupt climatic events. The challenge of the research under this topic is to provide robust information on palaeoclimate states and events outside the range of variability recorded over the past centuries that can serve as guide for the development of Earth system models.This challenge will be tackled through some of the following activities:Producing and aggregating in databases high-resoluti
Better understanding and attribution of land and ocean carbon sources and sinks
Expected Outcome:Project results are expected to contribute to some of the following expected outcomes:Better understanding of oceanic carbon dioxide (CO2) sources and sinks, their drivers and dynamics under different climate scenarios, including their responses to human interventions;Better understanding of land ecosystem CO2 sources and sinks, their drivers (both natural and anthropogenic) and their evolution under future climate and land-based mitigation scenarios;Progress on reconciling estimates of anthropogenic CO2 emissions and removals from land originating from the climate science and national emissions reporting communities;More consistent representation and quantification of lateral transfers of carbon. Scope:Understanding the mechanisms and drivers of land (including inland waters) and ocean carbon sinks and sources is crucial for accurate climate models and scenarios and informing climate mitigation strategies. However, significant gaps and uncertainties remain in quantifying these complex processes and their components. It is essential to better understand the roles of anthropogenic and natural drivers of carbon fluxes, in particular the surface-to-air flux. This is necessary for reconciling conceptual discrepancies among estimates and assessing the implications for future trends and mitigation potential, taking into account that mitigation actions need to be additional to natural processes and business-as-usual and that the remaining carbon budget depends, inte
Understanding and avoiding maladaptation to climate change
Expected Outcome:Project results are expected to contribute to all of the following outcomes:Existing evidence on maladaptation is retrieved comprehensively, and new knowledge is generated for incorporation into main EU repositories, such as Climate-ADAPT or the portal of the EU Mission on Adaptation to Climate Change;The risk and adaptation assessment frameworks are improved by better integrating the maladaptation dimension;Guidelines and tools for maladaptation prevention and correction strategies are made available to adaptation stakeholders at relevant scales and inform the design and implementation of adaptation strategies and plans of the EU and Member States. Scope:Recent climate records, showing unprecedented temperatures and extreme weather events, underscore the urgent need for rapid, systemic and comprehensive adaptation to address the escalating impacts of climate change on all natural and managed systems. However, while adaptation is essential, not fully informed measures can backfire, leading to severe unintended consequences or to short-term gains that are not sustainable. In this context, maladaptation refers to adaptation actions unintentionally leading to increased risk of adverse climate-related outcomes, including via increased greenhouse gas emissions or air pollutants, socio-economic, biodiversity and environmental trade-offs, increased or transferred vulnerability and greater social inequity.Most of the adaptation plans and implemented actions are relat
Next generation scenarios for informing climate and sustainability transitions
Expected Outcome:Project results are expected to contribute to some of the following expected outcomes:Strengthened collaboration and integration across research communities, better capturing interactions and trade-offs between various climate domains as well as between climate and non-climate objectives, such as biodiversity or pollution related. This will support more comprehensive and consistent evaluations, benefiting key global assessments (IPCC, IPBES) and improving their impact on European and global policies (European Green Deal, UNFCCC, CBD);More relevant, robust and actionable scenarios that inform optimal policy interventions, serving the needs and supporting decision-making of diverse end-users at various spatial scales, from policymakers and planning authorities to businesses and civil society;More globally representative, diverse, inclusive, transparent, widely accepted and better communicated scenarios that support climate-resilient development pathways and foster global consensus on climate action. Scope:Climate scenarios have been instrumental in shaping global, national, and increasingly local responses to climate change by helping stakeholders make informed decisions. Against the backdrop of rapid environmental shifts, social upheavals, high uncertainties and complexity, scenarios must be advanced to inform low-emission climate-resilient pathways, while also accounting for other critical policy priorities, such as environmental protection.Actions should imp
Excellence Hubs
Expected Outcome:Excellence Hubs allow innovation ecosystems in Widening countries and beyond, to team up and create better linkages between academia, business, government and society. This will foster a place-based innovation culture in Widening countries based on a strategic agenda aligned with regional or national smart specialisation strategies, and clearly identified expectations for economic and societal impacts. Projects should contribute to the following outcomes:Excellent and sustainable regional R&I ecosystems in Widening countries and beyond in relevant domains of cutting-edge science and innovation;Long term joint R&I strategies underpinned by concrete action plans of European relevance;Common investment plans for R&I, including infrastructures, leveraging national, regional and European funds as well as private capital in a synergetic manner;R&I pilot projects alongside a joint strategy and in line with regional and national strategies, notably regional innovation strategies for smart specialisation (RIS3);New competencies and skills for researchers, entrepreneurs and professionals in R&I intensive domains;Strengthened linkages between science, businesses and society;New business opportunities for SMEs, university spin-offs and start-ups, especially in deep tech areas. Scope:The projects will foster a regional innovation culture in Widening countries, aligned with regional or national smart specialization strategies. Consortia should seek synergies and avoid over
Pillar II: Talent ecosystems for attractive early research careers
Expected Outcome:Proposals will deliver on the impact of “Improved research careers and mobility, based on the European framework for research careers, fostering knowledge flows and career interoperability across sectors and countries”[1], contributing to the ERA Structural Policy “Making research careers more attractive and sustainable, and support mobility”. Project results are expected to contribute to the following outcomes:Creation of talent ecosystems[2], as integrated networks where research performing public (including higher education institutions) and private organisations, in particular industrial actors and research-intensive businesses, have established close and coordinated cooperation, fostering among others the employability, skills, career development, mobility, career interoperability, and well-being of researchers and other R&I staff;Implementation of organisational changes by participating organisations to mainstream the principles of the European framework for research careers and of the European Charter for Researchers, resulting in researchers benefitting from attractive working and employment conditions and diversified career development opportunities, with spillover effects on other R&I staff;Well-connected talent ecosystems through regular cooperation between different projects established under this topic and other ongoing actions[3];Enhanced talent ecosystems, enabling a substantial number of researchers and other R&I staff to develop attractive ca
Pillar III: Science comes to town 2029
Expected Outcome:The successful proposal will deliver on the impact “Increased alignment of research with society’s needs, expectations and values”. Project results are expected to contribute to all of the following expected outcomes:Strengthened capacity, networks and involvement of the participating cities in science communication and citizen engagement in science;More informed, evidence-based policymaking and increased public engagement through inclusive and participatory discussions and debates on science and R&I policy;Improved attractiveness of diverse careers in R&I for younger generations. Scope:This topic supports a small group of cities in organising and hosting a joint 1-year programme “Science comes to town 2029”. The programme should have a robust concept and brand focusing on connecting citizens and science while involving all relevant stakeholders (e.g., researchers, research funders, policymakers, publishers, citizens, civil society organisations, and business community).Various events and activities should be organised, highlighting the latest R&I developments and their contribution to society (including projects supported by national/regional/EU funds). Applicants should experiment with novel formats that are inclusive and participatory and engage diverse age and social groups at local, regional, and European levels. In project activities, particular attention should be paid to promoting inclusive gender equality and addressing gender-specific challenges. Sp
Pillar III: Promoting public engagement in R&I and scientific literacy
Scope:This topic aims to promote the adoption of ERA policies and practices delivering innovative approaches for enhancing science-society links and promoting scientific literacy. Proposals should contribute to the impact “Increasing trust in science and alignment of R&I with society’s needs, expectations and values”, thereby enhancing the democratic character and impact of science in the ERA.Applicants should select and clearly identify one area being addressed, choosing from the two areas outlined below. Both areas are designed to contribute towards the implementation of the ERA Structural Policy “Enhancing Trust in Science through Citizen Participation, Engagement and Science Communication”. Proposals should develop the activities outlined for the selected area and propose additional activities that contribute to achieving the expected outcomes.Project activities should reach large communities of stakeholders ensuring a wide geographical coverage, inclusivity, broad participation, and accessibility over the course of the project. Including stakeholders outside academia may be considered, for example, through citizen science. Proposals should describe their target group in terms of its scope and size.In project activities, particular attention should be paid to promoting inclusive gender equality and addressing gender-specific challenges where relevant.Expected project duration is up to 3 years without prejudice to a longer duration if justified.Area 1: Youth, science and d
Pillar IV: Upgrading the EU’s independent knowledge on China's Science, Technology and Innovation system
Expected Outcome:Proposals will deliver on the impact of ‘A more strategic, coherent, and evidence-based approach towards cooperation with China in the area of science, technology, and innovation (STI)’. It contributes toward the ERA Structural Policy “Implementing the Global Approach to R&I cooperation”, while taking into account the ERA Action on “Enhancing research security”.Project results are expected to contribute to all of the following outcomes:Improved understanding and monitoring of China's STI system to support the development of strategic foresight and evidence-based policies, and further bolster the EU’s ecosystem for independent knowledge on contemporary China;Innovative interdisciplinary approaches and methodologies are made available to R&I practitioners and policymakers, allowing for improved assessment of critical technology areas where China has achieved or is expected to achieve breakthroughs, and areas where challenges persist;A well-connected network of experts on China's STI ecosystem that increase attractiveness for EU researchers, especially young researchers, to pursue research careers on contemporary China. Scope:This topic aims to support the creation of new knowledge and strengthen expertise and networks in the EU on China’s science, technology, and innovation (STI) system. It seeks to bolster the EU’s ongoing endeavour to upgrade independent knowledge on contemporary China in Europe[1], which addresses the need for the EU to understand China on i
Pillar I: Facilitating development of institutional open access policies through the retention of intellectual property rights
Expected Outcome:Proposals will deliver on the impact “A more open, equitable and inclusive research and innovation ecosystem”, contributing to the ERA Structural Policy “Enabling open science via sharing and re-use of data, including through the European Open Science Cloud (EOSC)”. Project results are expected to contribute to all of the following expected outcomes:Increased number of EU research performing organisations (RPOs) with well-developed policies on open access publications, which include clause(s) for rights retention;Higher share of research publications in open access across the EU and Associated Countries, especially in low-performing countries with respect to open access;Increase of access to and preservation of scientific information through institutional infrastructures, such as repositories. Scope:While the EU is making progress on its open access objectives, recent reports show that there is still significant room for improvement. There is variable progress across Member States and Associated Countries, and less growth in open access through repositories compared to open access publishing.Rights retention[1] strategies, embedded in institutional or funder policies and requirements, have been identified as non-legislative measures with very good potential to support the uptake of open access. At the same time, such strategies empower researchers and institutions to safeguard their rights. The cOAlition S of research funders has supported the implementation
National Cyber Hubs
Objective:The general objective of “National Cyber Hubs” is to act as reference points and gateways to other public and private organisations at national level for participation in the European Cybersecurity Alert System and to ensure that cyber threat information from public and private entities is shared and collected at national level in an effective and streamlined manner.National Cyber Hubs are public entities given the role at national level to act as clearinghouses for detecting, gathering, aggregating and storing data on cybersecurity threats, analysing this data, and sharing and reporting cyber threat intelligence (CTI), reviews and analyses. They provide a central operational capacity and support other SOCs at national level (e.g., by offering guidance or training, making available data or analysis of this data, coordinating joint detection and monitoring actions, providing incident response services methodologies towards the mitigation of identified threats, vulnerabilities and/or misconfiguration weaknesses). They will play a central role at national level and can act as a hub within a context of SOCs in the different countries.The platforms should act as a central national point allowing for broader pooling of relevant data and CTI, enable the large scale dissemination of threat information on a large scale and among a large and diverse set of actors (e.g., CERTs/CSIRTs, ISACs, operators of critical infrastructures).National Cyber Hubs will contribute to enhancin
Cross-Border Cyber Hubs
Objective:The general objective of “Cross-Border Cyber Hub platforms” is to strengthen capacities to analyse, detect and prevent cyber threats and to support the production of high-quality intelligence on cyber threats, notably through the exchange of data from various sources, public and private, as well as through the sharing of state of-the-art tools and jointly developing cyber detection, analysis, and prevention capabilities in a trusted environment. They should provide new additional capacity building upon and complementing existing SOCs and CSIRTs and other relevant actors.The platforms should act as a central point allowing for broader pooling of relevant data and CTI, enabling the spreading of threat information on a large scale and among a large and diverse set of actors (e.g., CERTs/CSIRTs, ISACs, operators of critical infrastructures).Cross-Border Cyber Hub platforms will contribute to enhancing and consolidating collective situational awareness and capabilities in detection and CTI, supporting the development of better performing data analytics, detection, and response tools, through the pooling of larger amounts of data, including new data generated internally by the consortia members.The Cross-Border Cyber Hub platforms should achieve this general objective through the following specific objectives: Producing high quality, actionable information and CTI through the use of state-of-the-art tools and advanced tools and technologies (for example artificial intelli
Cross-border Cyber Hubs
Expected Outcome:World-class Cross-Border Cyber Hubs across the Union for pooling data on cybersecurity threats between several Member States, equipped with a highly secure infrastructures and advanced data analytics tools for detecting, gathering and storing data on cybersecurity threats, analysing this data, and sharing and reporting CTI, reviews and analyses.Sharing of Threat Intelligence between National Cyber Hubs, and information sharing agreements with competent authorities and networks, including CSIRTs. Objective:The former Cross-border SOC platforms were financed during previous calls and such collaboration is envisaged for the Cross-Border Cyber Hubs. They should provide new additional capacity building upon and complementing existing SOCs/Cyber Hubs, Computer Security Incident Response Teams (CSIRTs), ISACs and other relevant actors.This action is aimed mainly at new Cross-Border Cyber Hubs. Supporting activities for the SOCs that were already launched under the previous DIGITAL work programmes (2021-2022 and 2023-2024)1 could also be included when relevant to ensure collaboration with the Cross-Border Cyber Hubs.In addition to setting up processes, tools and services for prevention, detection and analysis of emerging cyberattacks, the scope also covers the acquisition and/or adoption of common (automation) tools, processes and shared data infrastructures for the management and sharing of contextualised and actionable cybersecurity operational information across t
National Cyber Hubs
Expected Outcome:World-class National Cyber Hubs across the Union, supported by state-of-the-art technology, acting as clearing houses for detecting, gathering and storing data on cybersecurity threats, analysing this data, and sharing and reporting CTI, reviews and analyses, taking into account well-established standards for sharing and automation processes.Threat intelligence and situational awareness capabilities and capacity building supporting strengthened collaboration between cybersecurity actors, including private and public actors.Targeted training courses on the basis of the ECSF to improve the capacity of cyber security roles. Applications for automated notification of private and public actors about compromised or insecure systems Objective:Where a Member State decides to participate in the European Cybersecurity Alert System, it shall designate or, where applicable, establish a National Cyber Hub, a single entity acting under the authority of the Member State.National Cyber Hubs have the capacity to act as a reference point and gateway to other public and private organisations at national level for collecting and analysing information on cyber threats and incidents and to contribute to a Cross-Border Cyber Hub. They are capable of detecting, aggregating, and analysing data and information relevant to cyber threats and incidents, such as cyber threat intelligence, by using in particular state-of-the-art technologies, and with the aim of preventing incidents.For th
PSI SwissFEL — Call for proposals: all beamlines (deadline 15 Mar 2027)
Peer-reviewed public beamtime access at the Paul Scherrer Institute (SwissFEL, all beamlines). Free of charge in exchange for open publication; open to researchers worldwide, EU included.
Facilitate the engagement of European stakeholders in international digital standardisation (CSA)
Expected Outcome:Proposals are expected to contribute to the following outcomes:Increasing the participation and influence of European experts in digital standardisation to promote EU values and strategic interests, contributing to strengthen EU competitiveness in the digital field.Improvement of the skills of European experts, especially from SMEs, R&I institutions, Open-Source community, academia and societal stakeholders, to successfully contribute and lead in the development of digital standards.Development and update of standardisation landscapes and gap analyses of key digital technologies as outlined in the Rolling Plan for ICT Standardisation.Provision of foresight analyses regarding standardisation in new emerging technologies to identify short and medium-term digital standardisation needs to support EU policies and anticipate appropriate participation by EU stakeholders.More awareness of the benefits and competitive advantages of standardisation, in particular for SMEs and researchers, and more visibility of the European digital standardisation ecosystem.Scope:Contribute to the implementation of the EU Standardisation Strategy and other policy initiatives such as Europe’s Digital Decade, Apply AI Strategy or the Competitiveness Compass, with an emphasis on supporting the EU’s leading position in global standards-setting of key digital technologies.The goals are inter alia to 1) strengthen the EU competitiveness in the digital domain; 2) contribute to EU tech soverei
International cooperation in AI (IA)
Expected Outcome:Project results are expected to contribute to one of the following outcomes:Faster uptake of tailored and enhanced AI solutions at innovation hubs in low- and middle-income countries by training and optimising them with local data and applied research.Easier large-scale deployment of local AI solutions in low and middle-income countries by increasing the efficiency of system demonstration in relevant, operational environments.Strengthened local innovation ecosystems that foster sustainable socio-economic impact by addressing key societal challenges in areas such as education, healthcare, agriculture, and environmental sustainability.Scope:System prototype, testing, validation, and demonstration in operational environment aligned to EU initiatives, such as the International Digital Strategy for the EU[1] and the AI Continent Action Plan[2], to strengthen local AI ecosystems in African countries fostering responsible AI development, north-south digital cooperation on AI, and sustainable AI innovation.The main goal is to support the digital transition and foster inclusive economic and social transformation of partners globally by adapting and applying innovative solutions, research areas and capabilities developed in Europe to low- and middle-income countries.This Innovation Action will focus on accelerating the uptake of and access to AI solutions by local innovation hubs in these countries, better enabling their practical implementation and future market deplo
Demand-side 3C pilot demonstrators on converged Telco Edge Cloud Infrastructure (IA)
Expected Outcome:Demand-side driven validation of open orchestration platforms across the telco-cloud edge continuum unlocking notably the transformative value of AI for European businesses, driving business growth in multiple industries strategic for Europe.Enabling the path towards sustainability and competitiveness of key vertical sectors in the EU, exploiting the innovative features of 3C/ telco-edge-cloud, including network features such as API (Application Program Interface) aggregation, slicing, automation, latency, security, ISAC (Integrated Sensing and Communication), reconfigurability, to significantly improve quality of service, resilience, sustainability and other performance parameters of digital communications.The demand pilots will have a clear sector relevance, with one pilot addressing the future of smart mobility including the automotive sector.A vibrant ecosystem around 3C/telco-edge-cloud infrastructure, targeting SMEs and start-ups to develop innovative services and new business models validation and marketplace exploitation strategies, as well as paths to commercialization or replicability.Scope:The term “Connected, Collaborative, Computing (3C) Network” refers to a telco-edge-cloud, secure multi-provider and multi-technology, communication system that hosts network functions and workloads for and beyond connectivity (e.g. 6G, AI Storage/Compute, networking, Security ISAC , and any other application or capability) as a service (aaS). Key features of the
EU Frontier AI Initiative: Developing frontier AI solutions that are safe and computationally efficient within Apply AI (RIA)
Expected Outcome:The Apply AI Strategy[1] also seeks to bolster EU capabilities and achieve excellence in AI to support the development of European frontier models. As part of the Frontier AI Initiative, which brings together Europe’s leading actors in the field, this topic will support the development of sovereign frontier AI ensuring safety by design. This topic directly contributes to the Apply AI Strategy. Project results are expected to contribute to all of the following expected outcomes:Strengthened European capabilities in the development of frontier AI models.Improved computational efficiency of frontier AI models, resulting in reduced computational costs.Enhanced safety of advanced AI systems based on frontier AI models through the development and implementation of safe-by-design principles and/or AI agents acting as safety evaluators. Scope:To advance developments of frontier AI models towards highest-level performance, while ensuring energy efficiency, addressing computational constraints, and strengthening safety. The approach of this topic is twofold. First, it aims to advance the AI field through the development and training of a frontier AI model. The AI model should demonstrate state-of-the-art performance, have multimodal capabilities, and be optimized for agentic AI capabilities such as tool use, reasoning, and autonomous problem-solving. Second, this topic supports research on comprehensive methods to reduce the computational demands of frontier AI models
Energy efficiency and sustainability of AI data processing in Data Centres (IA)
Expected Outcome:Pilots for new technologies including demonstration sites which contribute to energy-efficient and sustainable AI data processing in data centres, reinforcing EU strategic autonomy and climate goals. Project results are expected to contribute to one or more of the following outcomes:Demonstrated innovations that substantially improve heat removal from high-power AI chips (e.g. direct on-chip cooling, advanced thermal interface materials, multi-scale thermal management), enabling higher performance without thermal throttling. This should lead to lower cooling energy needs and higher reliability for dense AI workloads.Prototypes of novel backup power systems (such as graphene-enhanced batteries) that operate with minimal cooling requirements, improving data centre resilience and enabling better use of renewable power.New methods and frameworks that optimise the entire data centre for energy-efficient AI processing. This includes intelligent workload scheduling and AI model optimisation techniques to reduce energy use (e.g. carbon-aware job scheduling and power capping to cut energy demand and peak temperatures), as well as designs for integrating on-site/off-site renewables and waste-heat reuse.Outcomes should demonstrate potential for improved power usage effectiveness and utilisation of waste heat in external applications, aligned with European targets for carbon-neutral heating/cooling.Scope:Actions should address one or more of the following development are
Apply AI: AI-Driven Robotics for Industry: Enabling System Integration and Adoption (IA) (Partnership in AI, Data and Robotics)
Expected Outcome:The Apply AI Strategy emphasises acceleration pipelines to ensure a smooth transition from research to deployment of AI-powered robotics. Projects under this topic will deliver common frameworks and reusable building blocks that can serve multiple sectors and use cases, reinforcing Europe’s ability to bring AI-driven robotics to scale.Project results are expected to contribute to all of the following expected outcomes:Wider and faster deployment of robotics, bridging the gap between technology providers and end-users.Development and implementation of modular and interoperable integration frameworks and solutions, including standardized protocols for data, training and safety testing, evaluation and validation of robotic solutions in key use casesImproved competitiveness of European industries, notably SMEs via the development of advanced robotics systems, intelligent planning and control systems, user feedback rendering techniques and cutting-edge AI innovations Scope:The project will address the current European gap in system integration capabilities for robotics solutions addressing the various needs of industries. The project will aim at disseminating a deep understanding of state-of-the-art robotics components, including both hardware and software, and expertise in addressing interoperability issues for the upskilling of system integrators.To maximise the impact and adaptability of deployed systems, the approach should consider the most appropriate tools
Advanced and Innovative hardware components for Virtual Worlds (RIA) (Virtual Worlds Partnership)
Expected Outcome:Projects are expected to contribute to the following outcomes:Innovative and advanced XR hardware, advanced headsets, screens, wearables and haptic components, sensors and actuators, advanced chips for a deeper and closer-to-reality immersion, stimulating all human senses.Scope:In the recent years, hardware for Virtual Worlds made major breakthroughs, democratising headsets, sensors, actuators or haptic equipment. To keep this momentum and advancing further, new generation of XR equipment, wearable solutions and haptic components, as well as non-invasive brain computer interfaces for handsfree interaction, hardware or technologies will put the users at the very centre of virtual experiences, for even greater and realistic immersion, aiming at blurring the lines between the real and digital environments. To ensure this next generation of engaging and lifelike immersion, all senses must be stimulated (sight, hearing, feel, touch, smell), for a fully immersive close-to-reality experience. Users will be submerged with realistic sensations making the experience as immersive as possible.Proposals should investigate novel scientific approaches or push the limit of existing ones to improve the synchronization and integration of the different modalities.Proposals are expected to integrate various components in fully tested devices, demonstrating the usefulness and efficiency of their system in illustrative scenarios in the industrial and societal contexts.Proposals sh
Apply AI: Challenge-Driven AI Innovation Booster in Apply AI prioritised sectors (RIA) (Partnership in AI, Data and Robotics)
Expected Outcome:The Apply AI Strategy[1] proposes a comprehensive set of measures to notably harness the transformative potential of AI. It lays down targeted measures to boost AI use in key strategic sectors of the EU economy including healthcare, mobility and manufacturing for example. With challenges designed to spark breakthroughs in such strategic sectors, the current topic will directly support key activities of the Apply AI Strategy.Project results are expected to contribute to all of the following expected outcomes:Significant technological progress and innovation in Apply AI Strategy's prioritised sectors driven by challenge-oriented, AI-powered solutions.Increase competitiveness and visibility of the relevant AI community within key application sectors, and promote collaborative approaches for AI development in these sectors, fostering the ecosystem.Increase adoption of AI technologies across the following three key application sectors: healthcare, advanced manufacturing (including AI-powered robotics) and in-vehicle autonomous driving.Scope:The Challenge-Driven AI Innovation Booster aims to drive significant technological progress and innovation in Apply AI prioritised sectors through challenge-oriented, AI-powered solutions. This initiative seeks to boost Europe's developer community and the adoption of powerful, trustworthy AI solutions in three strategic sectors such as:In healthcare - advanced AI will accelerate diagnostics and treatment plans, enhance robotic
Create a thriving and competitive Virtual Worlds and Web 4.0 ecosystem (CSA) (Virtual Worlds Partnership)
Expected Outcome:The co-programmed European Partnership for Virtual Worlds will help to develop and promote a thriving industrial and end-user ecosystem in the EU, covering all the aspects of the virtual worlds value chain. It will also actively engage with industrial and societal sectors to provide access to a broad range of resources, including funding, expertise and technology.Project results are expected to contribute to the following expected outcomes: The delivery of a revised and updated Strategic Research and Innovation Agenda (SRIA) for Virtual Worlds in Europe, for useful, open, interoperable, inclusive, sustainable and trustworthy virtual worlds systems and applications, ensuring these reflect EU values and principles.Strengthening of the European Virtual Worlds Partnership by providing continuous support.Reinforcement of the competitive ecosystem, with European companies playing a leading role in the adoption and acceptance, and in the development and deployment of Virtual Worlds technologies.Reinforced links among initiatives in virtual worlds in Horizon Europe, Digital Europe Programme, and other programmes at EU, national and regional levels.Widespread awareness and outreach programmes.Increased adoption of virtual worlds that are open, accessible and inclusive, interdisciplinary, safe and respect ethical values and European legal framework, including regarding privacy, security in all Member States and Associated Countries.Strengthening and promotion of standa
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