Tag: Europe

  • European Cluster for Securing Critical Infrastructures (ECSCI)

    European Cluster for Securing Critical Infrastructures (ECSCI)

    March 3, 2022 @ 8:00 am December 31, 2026 @ 5:00 pm CET

    (NETWORK)

    ECSCI. “ECSCI”. Accessed 14.08.2025. https://www.ecsci.eu.

    The main objective of the ECSCI cluster is to create synergies and foster emerging disruptive solutions to security issues via cross-projects collaboration and innovation. Research activities will focus on how to protect critical infrastructures and services, highlighting the different approaches between the clustered projects and establishing tight and productive connections with closely related and complementary EU funded projects. To promote the activities of the cluster, ECSCI will organize international conferences, and national or international workshops, involving both policy makers, industry and academic, practitioners, and representatives from the European Commission.  

  • North European Cybersecurity Cluster

    North European Cybersecurity Cluster

    January 1, 2025 @ 8:00 am December 31, 2026 @ 5:00 pm CET

    (NETWORK)

    NECC. “NECC.” Accessed 14.08.2025. https://necc.network.

    The North European Cybersecurity Cluster (NECC) promotes information security and cybersecurity-related cooperation and collaboration in the Northern European region in order to enhance integration into the European Digital Single Market.

    The NECC has created a trusted competence network with various tested collaboration models among companies, academia, public sector and end-users. The cluster-type collaboration model is beneficial for all participating stakeholders and supports the EU’s contractual Public Private Partnership (cPPP).

    The NECC will be working towards more compelling business, cybersecurity and research environment for attracting more investments, resources and new innovation into the region.

    North European Cybersecurity Cluster

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  • European Cyber Security Organisation (ECSO)

    European Cyber Security Organisation (ECSO)

    January 1, 2016 @ 8:00 am December 31, 2026 @ 5:00 pm CET

    (NETWORK)

    ECSO. “ECSO”. Accessed 14.08.2025. https://ecs-org.eu.

    The right place to be for cybersecurity in Europe

    The European Cyber Security Organisation (ECSO) is a European, cross-sectoral membership organisation that contributes to developing cybersecurity communities and building the European cybersecurity ecosystem.

    ECSO federates the European Cybersecurity public and private sector, including large companies, SMEs and start-ups, research centres, universities, end-users and operators of essential services, clusters and associations, as well as the local, regional and national public administrations across the European Union Members States and the European Free Trade Association (EFTA).

    Mission

    • ECSO contributes to Europe’s Digital Sovereignty & Strategic Autonomy and to strenghtening its  cyber resilience by:
    • Bringing together the private and public sectors, facilitating their dialogue and joint actions
    • Empowering communities and shaping the European cybersecurity ecosystem
    • Federating and providing a platform for collaboration for various stakeholders

    European Cyber Security Organisation (ECSO)

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    ECSO

    Avenue des Arts 46 Kunstlaan
    Brussels, 1000 Belgium
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  • Norwegian Centre for Cybersecurity in Critical Sectors

    Norwegian Centre for Cybersecurity in Critical Sectors

    September 1, 2020 @ 8:00 am December 31, 2028 @ 5:00 pm CEST

    (NETWORK) (PROJECT)

    NTNU SFI NORCICS. “NORCICS”. Accessed 14.08.2025. https://www.ntnu.edu/norcics.

    Centre for Research-based Innovation (SFI)

    NORCICS’s vision is to contribute to making Norway the most securely digitalized country in the world, by improving the cyber security and resilience of its critical sectors, through supporting research-based innovation.

    Our primary objective is to enhance the capability of private and public sector stakeholders to respond to the current and future cybersecurity risks by developing, validating, and operationalizing innovative socio-technical solutions.

    The following secondary objectives will lead to the achievement of the primary objective above:

    1. To generate new knowledge about interdependencies and dynamics in Critical Sectors; and how Cyber Physical Systems especially in Critical Sectors can be attacked;
    2. To design, develop, and test innovative methods and tools for the detection, prevention, and mitigation of cyberattacks against industrial control systems in Critical Sectors, and to validate these in industrially relevant environments;
    3. To demonstrate and validate the efficiency and effectiveness of interlinked cybersecurity measures for control systems in Critical Sectors for selected industrially relevant environments;
    4. To develop novel methods and tools for the improvement of cybersecurity training and awareness, and means for validation of such methods;
    5. To effectively transfer the knowledge created within NORCICS among its user partners, sectoral and industrial clusters, and relevant stakeholders in Norway.

    NORCICS has the following work packages (WP):

    1. Research-based innovation roadmap
    2. Foundations
    3. Technologies, applications, and services
    4. Demonstration environments
    5. Dissemination and knowledge transfer
    6. Project management
  • Data Space for Smart and Sustainable Communities

    Data Space for Smart and Sustainable Communities

    October 1, 2023 @ 8:00 am September 30, 2026 @ 5:00 pm CEST

    (PROJECT)

    European data space for smart communities (DS4SSCC-DEP). “DS4SSCC”. Accessed 13.08.2025. https://www.ds4sscc.eu/home.

    DS4SSCC–DEP is funded by the European Union Digital Europe Work Programme 2021-2022 under Grant Agreement No. 101123342. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the European Commission can be held responsible for them.

    The European Data Space for Smart Communities (DS4SSCC-DEP) initiative is a pivotal deployment following the preparatory action for a Data Space for Sustainable and Smart Cities and Communities (DS4SSCC). 

    Emphasising sustainability aspects and diversity in communities, DS4SSCC developed a multi-stakeholder data governance scheme, created a blueprint for the European DS4SSCC, delivered priority datasets, and developed a roadmap towards a mature DS4SSCC.

    DS4SSCC-DEP’s vision revolves around creating a well-governed federated territorial, place-based data space for smart communities available for developers and infrastructure providers, aligning with the prospects outlined in Europe’s Digital Decade objectives. This approach distinguishes itself from sectoral data spaces by encompassing diverse domains, and underpinning governance across all levels of society.

    Open & Agile Smart Cities and Communities (OASC)

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  • EBRAINS: A Research Infrastructure to Advance Neuroscience and Brain Health

    EBRAINS: A Research Infrastructure to Advance Neuroscience and Brain Health

    September 1, 2022 @ 8:00 am December 31, 2026 @ 5:00 pm CEST

    (PROJECT)

    EBRAINS. “EBRAINS.” Accessed 13.08.2025. https://www.ebrains.eu.

    EBRAINS is an international non-profit association (AISBL), headquartered in Brussels, Belgium. It is made up of 8 Full Members and 35 Associate Members. The Research Infrastructure is organised around a central hub that coordinates a pan-European network of services delivered through National Nodes. EBRAINS is governed by three bodies, the General Assembly, the Governing Board and the Management Board. A National Node Board gathers Node representatives. EBRAINS also has two Advisory Committees, the Science and Technology one and the Ethics and Society one which will soon be instated. EBRAINS is funded by the Horizon Europe Framework Programme.

    A state-of-the-art ecosystem for neuroscience

    EBRAINS is on a mission to revolutionise how neuroscience is conducted. The digital ecosystem that we provide enables advances in brain research that translate to innovations in neuroscience, healthcare and technology.

    Towards a European Brain Partnership to accelerate scientific, technological, and societal needs.

    EBRAINS’ ambition is to enable breakthroughs in different areas of brain science. We are proud to be part of several game-changing projects and initiatives, in which we join forces with leading institutions to achieve tangible results and outcomes. If you’re interested in working with us on specific projects, different possibilities exist. Don’t hesitate to contact us for more information.

    EBRAINS is organised around a central hub that coordinates a pan-European network of services that are delivered through national nodes.

  • AI-Mind: Artificial Intelligence for Dementia Prevention

    AI-Mind: Artificial Intelligence for Dementia Prevention

    March 1, 2021 @ 8:00 am February 28, 2026 @ 5:00 pm CET

    (PROJECT)

    Accelopment Schweiz AG. “AI-Mind”. Accessed 13.08.2025. https://www.ai-mind.eu.

    This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 964220. This website reflects only the author’s view and the Commission is not responsible for any use that may be made of the information it contains.

    What is the challenge?

    There are over 50 million people worldwide living with dementia and by 2030 this number is expected to reach 82 million.

    The ageing brain becomes vulnerable to decline and keeping independency in daily life can become a challenge for the elderly. People with Mild Cognitive Impairment (MCI), an intermediate condition between normal brain ageing and dementia, may develop dementia in the future.

    There is an urgent need for early risk assessment and intervention. Current practices with time-consuming patient investigations focus on late symptoms management  due to a lack of diagnostic tools. This causes numerous implications in terms of familial, medical and care costs.

    With AI-Mind we aim to reduce the disease’s burden by developing novel, AI-based tools to support healthcare professionals in their diagnosis and offering timely interventions to patients.

    At the heart of AI-Mind is our research study, that

    Takes place in Norway, Finland, Italy and Spain and will involve 1,000 participants. 

    Helps to develop and validate artificial intelligence (AI) based tools to predict who is likely to develop dementia.

    The AI-Mind project aims to ease the burden of dementia by creating innovative, AI-driven tools that assist healthcare professionals in predicting dementia risks in patients affected by mild cognitive impairment (MCI). Most dementia treatments focus on managing symptoms once they appear, leaving little room for early prevention. AI-Mind seeks to transform this process by replacing complex and inefficient screening methods with advanced, automated tools powered by AI. These tools will address the critical need for early and precise diagnosis, allowing doctors to identify patients at high risk of developing dementia with greater confidence.

    Oslo University Hospital

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  • enRichMyData

    enRichMyData

    October 21, 2022 @ 8:00 am September 30, 2025 @ 5:00 pm CEST

    (PROJECT)

    enRichMyData. “enRichMyData.” Accessed 13.08.2025. https://enrichmydata.eu.

    enRichMyData develops a novel paradigm for building rich, high-quality and valuable datasets to feed Big Data Analytics and AI applications. It has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070284.

    The enRichMyData project is coordinated by SINTEF (Norway), one of European’s largest independent research organisations. The project partners include companies such as Philips (The Netherlands) and Bosch (Germany), dedicated to engineering and manufacturing; Speed Network (Estonia), a provider of procurement data; JOT Internet Media (Spain), a digital marketing company; CS Group (Romania), a software service company; Expert AI (Italy), a technology company specializing in natural language understanding; and Ontotext (Bulgaria), a semantic technology company. They will have the full support of the research partners that, in addition to SINTEF, include the University of Milano Bicocca (Italy), Jozef Stefan Institute (Slovenia), University of Copenhagen (Denmark), GATE Institute (Bulgaria), and BGRIMM Technology Group (China).

    enRichMyData delivers an open software toolbox – the enRichMyData toolbox – comprising practical, robust and scalable components to support organizations in enriching their data with reference data they may have limited knowledge of, as well as supporting data providers in making their data reusable and available in data enrichment processes.

    The toolbox lowers the technological entry barriers by providing support for the definition of highly scalable and replicable data enrichment pipelines through a set of tools and infrastructure services related to capabilities needed during the lifecycle of enrichment pipelines. The toolbox makes the data enrichment process accessible to a broader set of stakeholders by reducing the required expertise and enhancing the tool support level.

    Empower AI-driven business products and services

    h-quality, rich and meaningful data are crucial to successfully implementing Artificial Intelligence (AI) and Big Data Analytics (BDA) solutions. Delivering required data to feed into AI and BDA models is costly, difficult, and often limited in data and skill availability. It is well known that up to 80% of the effort spent in AI and BDA projects is dedicated to ensuring data is fit for purpose. Activities are required to discover, understand, select, clean, transform, and integrate data from a variety of sources in such a way that data can be fed into the modelling phase. Such activities result in enriched data, eventually improving the quality of downstream BDA and AI applications. The data enrichment process is implemented by specifying, deploying, and executing data enrichment pipelines over data that can be structured, semi-structured and unstructured, in large amounts, and from static or streaming sources. While techniques exist to cover different enrichment operations such as data cleaning, linking, feature extraction, classification and semantic annotation, etc., the lack of comprehensive approaches and established tools dedicated to data enrichment makes the definition, implementation, and operation of enrichment pipelines difficult for too many organizations willing to improve their BDA and AI applications.

    The overall vision of the enRichMyData project is to create a novel paradigm for building rich, high-quality, valuable, and FAIR-compliant datasets to feed downstream BDA and AI applications in the context of data-sharing ecosystems, such as data spaces. The paradigm facilitates the specification and execution of data enrichment pipelines, focusing on supporting various data enrichment operations. enRichMyData makes this easily accessible to a wide set of large and small organizations that encounter difficulties in delivering suitable data to feed their BDA and AI solutions due to the lack of usable tools/expertise for the cost-effective management of data enrichment pipelines.

  • ENFIELD: European Lighthouse to Manifest Trustworthy and Green AI

    ENFIELD: European Lighthouse to Manifest Trustworthy and Green AI

    September 1, 2023 @ 8:00 am August 30, 2026 @ 5:00 pm CEST

    (PROJECT)

    NTNU. “ENFIELD”. Accessed 13.08.2025. https://enfield-project.eu.

    ENFIELD is set to establish a distinctive European Center of Excellence focused on advancing fundamental research in Green, Adaptive, Human-Centric, and Trustworthy AI and applied research within key sectors like Energy, Healthcare, Manufacturing, and Space
     
    Promoted by 30 leading research institutions, businesses, and public sector representatives from 18 countries, the project builds a vibrant AI community of the brightest minds from across Europe. 
     
    ENFIELD network will deliver over 75 unique AI solutions, 180 high-impact publications, strategic documents and extensive outreach efforts. 

    Our Mission

    Our goal is to develop AI solutions that address challenges in sectors such as healthcare, energy, manufacturing, and space, while promoting sustainability and ethics

    The ENFIELD Project is co-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or DG CNECT. Neither the European Union nor the granting authority can be held responsible for them.  The University of Nottingham’s participation in the Horizon Europe Project ENFIELD is supported by UKRI grant number 10094603. 

    NTNU (Norwegian University of Science and Technology)

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  • RIVCircular

    RIVCircular

    May 1, 2025 @ 8:00 am May 1, 2027 @ 5:00 pm CEST

    (PROJECT)

    RIVCircular. “RIVCircular.” Accessed 14.08.2025. https://www.rivcircular.eu.

    RIVCircular is part of the European Innovation Valleys (RIV) initiative under the Horizon Europe Program (Pillar III – European Innovation Ecosystems) and is coordinated by the Community of Madrid.

    The project adopts a holistic approach to the circular economy, promoting interregional cooperation and knowledge exchange to drive sustainable innovation.

    Aligned with the New European Innovation Agenda’s flagship goal of accelerating and strengthening innovation across EU ecosystems while bridging the innovation divide, RIVCircular fosters collaboration among six European regions: southern (Madrid), central (Hauts-de-France), northern (Innlandet and Brandenburg), and eastern (Košice and Kyiv).

    This project is co-funded by the European Union. Views and opinions expressed are however this of the author(s) only and do no necessarily reflect those of the European Union or European Innovation Council and SMEs Executive Agency (EISMEA). Neither the European Union nor the granting authority can be held responsible for them. Project Nº 101161013.

    Community of Madrid

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