Tag: Privacy

  • Welcome reception at Oslo City Hall

    Welcome reception at Oslo City Hall

    November 3 @ 6:00 pm – 7:30 pm CET

    (EVENT) In connection with the North European Cyber Days 2025, the City of Oslo is hosting an evening welcome reception for up to 200 people.

    The event is free and open for all, but conference attendees will be prioritised.

    Register for the reception using the event registration link and we will contact you with confirmation details.

    Event Webpage:  North European Cyber Days 2025.

    Registration Link: https://nettskjema.no/a/north-european-cyber-days-2025  

    Register online

    VentureNet

    Oslo City Hall

    Address: Rådhusplassen 1
    Oslo, 0037 Norway     + Google Map
    View Venue Website
  • Decentralised AI

    Decentralised AI

    (INSIGHTS) (TECHNOLOGY) (PROJECT) Massachusetts Institute of Technology (MIT) Media Lab. “Decentralized AI”. Accessed 24.08.2025. https://www.media.mit.edu/projects/decentralized-ai/overview/

    As AI evolves beyond screen assistants and into dimensional applications, decentralization emerges as the critical factor for unlocking its full potential.

    Introduction

    The AI landscape is at a crossroads. While advances continue, concerns mount about job displacement and data monopolies. Centralized models, dominated by a few large companies, are reaching their limits. To unlock the true power of AI, we need a new paradigm: decentralized AI.

    Challenges of Centralized AI

    • Limited data access: Siloed data restricts AI’s potential for applications like personalized healthcare and innovative supply chains.
    • Inflexible models: One-size-fits-all models struggle with diverse real-world scenarios, leading to inaccurate and unfair outcomes.
    • Lack of transparency and accountability: With data and algorithms hidden away, trust in AI erodes, hindering adoption and innovation.

    Decentralized AI: A Vision for the Future:

    • Data markets: Secure marketplaces enable data exchange while protecting privacy and ensuring fair compensation.
    • Multi-dimensional models: AI that learns from real-world experiences through simulations and agent-based modeling.
    • Verifiable AI: Mechanisms like federated learning and blockchain ensure responsible development and deployment of AI models.
    • Exchanges for AI solutions: Platforms where individuals and businesses can access and contribute to AI solutions for diverse needs.

    Opportunities in Decentralized AI:

    • Democratization of innovation: Individuals and smaller businesses can participate in the AI revolution, creating valuable solutions and capturing economic benefits.
    • Unleashing trillions in economic value: By addressing real-world challenges in healthcare, education, and other sectors, decentralized AI can unlock vast economic opportunities.
    • Building a more equitable and inclusive future: Decentralization empowers individuals and helps address concerns about bias and discrimination in AI.

    The Call to Action:

    In this pivotal moment, everyone has a role to play. Businesses must embrace decentralized models, governments should foster collaborative ecosystems, and individuals must become AI literate and contribute their expertise. By working together, we can unlock the true potential of AI and build a more prosperous and equitable future for all.

    Reach out to us at dec-ai@media.mit.edu

    Professor Ramesh Raskar spoke on this topic at EmTech Digital in May 2024. 

    Research Topics

    #social networks #computer vision #artificial intelligence #data#privacy #machine learning #decision-making

    Go to the MIT Webpage

  • Data Space Technologies

    Data Space Technologies

    Haukaas C.A., Fredriksen P.M., Abie H., Pirbhulal S., Katsikas S., Lech C.T., Roman D. (2025). “INN-the-Loop: Human-Guided Artificial Intelligence.” 12-14.

    Data space technologies are key enablers of AI and data-driven value creation because they address fundamental challenges with data system integration, data curation, verifiability, security, and privacy.

    A data space consists of common standards for organizing and exchanging data and a set of technologies that adhere to those standards. Data space technologies can be open-source or proprietary, but they must adhere to common data spaces standards and rules. Common standards are needed to ensure that systems and data are interoperable, and can utilize common infrastructure and services, for example to manage identities, system access and data exchange in compliance with European digital regulations.

    Data space technologies with digital trust management frameworks and digital marketplaces are being developed to enable a more open and equitable digital ecosystems in Europe, where data and digital assets can be securely exchanged, reused and improved over time.

    The International Data Spaces Association, Gaia-X, FIWARE, Big Data Value Association and OASC (Open and Agile Smart Cities and Communities) are a few examples of organizations that collectively represent more than 1000 member organisations, 400+ cities, and 100+ national hubs in Europe, Asia, and the Americas that are working on projects to develop common data space architectures and technologies.

    Smart city and community initiatives are particularly relevant for Data Spaces because cities, regions, municipalities, and the public sector need to continuously improve the cost-effectiveness of services across several critical sectors. AI has great potential to support increased productivity, sustainability and community engagement in digital and green transformation, but solutions are needed to enable secure data exchange and deployment of trustworthy AI across critical sectors and regions. The Living in EU initiative aims to promote citizen-centric collaboration and re-use of solutions, products, and services across a common digital market to avoid duplicating efforts and expenditure that result in data silos and fragmented infrastructure. Living in EU is promoted the European Commission, the European Committee of Regions, The Council of European Municipalities and Regions (CEMR), The European Regions Research and Innovation Network (ERRIN), The European Network of Living Labs (ENoLL), OASC, and Eurocities, a network of over 200 of Europe’s largest cities representing over 150 million people across 38 countries.

    A data space consists of tools that adhere to common standards defined in the Data Space Blueprint:

    • DSSC Blueprint: The Data Space Support Center (DSSC) blueprint is a comprehensive set of guidelines to support implementation, deployment and management of data spaces. The Blueprint consists of key concepts, a starter kit, glossary, a collection of data space standards and the following organisation and technical building blocks (DSSC 2024)[i]:
      • Business, governance and legal building blocks provide guidance to new entrants and operators of infrastructure, software, services and technologies that comply with data spaces standards. This support includes but not limited to guidance on choices in design of business model, data products, organisational form, regulatory compliance and contractual frameworks that are supported by services and software.
      • Technical building blocks are divided into foundational standards, control and data planes for exchanging data, and data space services for implementing the technical building blocks. These standards for technologies and services are designed to ensure data interoperability, data sovereignty and trust, and provide enablers for value creation from data, which is one of the ultimate goals of a data space (DSSC 2024).
    • Decentralised identifiers (DID) and verifiable credentials (VC): a key technical building block for Data Spaces is the DID standard developed by the World Wide Web Consortium (W3C), an international standards organization founded in 1994 by Tim-Berners Lee, the inventor of the world wide web. A DID is a universal resource identifier (URI) for an entity (e.g., a person, organization, thing, concept, data model, algorithm, abstract entity, etc.) (W3C 2022).[ii] URIs are used to organize data and services in standardized machine-readable ontologies and catalogues. This enables systems find information and navigate ontologies and data catalogues across large networks of distributed systems. A decentralised identifier (DID) goes a step further by providing a method to prove ownership/control over an entity/subject/concept. A DID points to a DID document that uses cryptographic mechanisms to verify credentials related to ownership and rights to create, access and modify information. This enables a controlling entity to create and modify their own universal identifiers independent of centralised registries because the controlling entity can use verifiable credentials (VCs) to prove their own identity and to prove their rights to create, modify and access information that is represented by the DID. VCs provide a set of tamper-evident claims, which supports verifiability, traceability and accountability in digital information, also known as data provenance (W3C 2025).[iii] This independent control over verifiable information is known as self-sovereignty and self-sovereign identity (SSI), and it has potential to revolutionize the internet by making more information verifiable, machine-readable and more easily discoverable across decentralised systems, provided that common semantic web standards are followed for organizing and accessing information.
    • Privacy-enhancing technologies (PETs): A DID document can have one or more different representations of information describing a past, current, or desired state of the DID subject. The ability to provide multiple representations of information is an enabler for PETs because a DID document can utilize different methods for sharing verifiable information without necessarily transferring data or revealing underlying data. One example is secure multi-party computation (SMPC) with full homomorphic encryption, which was used by two European hospitals in a pilot project of the European Health Data Space to securely analyse health data for cancer patients without transferring underlying health data to the hospitals (Ballhausen 2024).[iv] Another example is a zero-knowledge proof (ZKP) to prove that a person has a required credential, such as an education certificate, valid driver’s license, or fulfils a minimum age requirement, without revealing details of the person’s age, date of birth, address, or other unnecessary information. DIDs can also strengthen privacy and security by using attribute-based encryption and access control to authorize access to specific information based on a dynamic set of conditions, such as the privacy preferences of the DID owner and levels of digital trust or cyber risk to systems handling information in the digital value chain. In summary, technical standards for DIDs, VCs, and Data Spaces, in combination with EU digital regulations, create a great opportunity for innovation in PETs to address security and privacy risks of AI-enabled systems in critical sectors.
    • Technical standards have been collected and organized into the following categories:
      • Data Interoperability standards
      • Data Sovereignty and Trust standards
      • Data Value Creation standards
    • DSSC Toolbox: The Toolbox is a curated catalogue of solution implementations (software and non-software tools) that are aligned with the DSSC Blueprint and have passed the Toolbox validation scheme. The
      • Toolbox contains open and closed solutions for technical and organisational functionalities and can be accessed as data space services (DSSC 2024).
      • The Toolbox validation scheme is a self-assessment scheme that enables new solutions and solution providers to be listed in the Toolbox.
    • A digital marketplace is a common way to generate value in a data space (DSSC 2024).[1] The DS Blueprint describes functional specifications for digital marketplaces as part of the Data Value Creation standard and technical building block. The standard enables secure and efficient data exchange and digital transactions using advanced features for data catalogue management with DIDs. A data catalogue using DIDs makes product offerings machine-readable and more easily discoverable within a data space and across data spaces and marketplaces. A marketplace can also “establish a trusted relationship between a data product provider and any user who has searched, found and selected one or more data products from this provider in the data space. It provides the tools required to negotiate conditions for the delivery and use of the products, monitor the process and store all the relevant information, i.e. everything needed to ensure the journey of the provider and the user goes smoothly.” (DSSC 2024).
    • Minimum Interoperability Mechanisms (MIMs) are being developed by the OASC in a standard recommendation to the ITU Telecommunications Standardization Sector (ITU-T) to support data interoperability in Data Spaces for Sustainable and Smart Cities and Communities (DS4SSCC) and ensure compliance with the EU Interoperability Act (EC 2024)[2]. The MIMs Overview provides a description of the concept and role of the following MIMs (OASC 2024)[3]:
      • MIM 1: Context Information
      • MIM 2: Data Models
      • MIM 3: Contracts
      • MIM 4: Trust
      • MIM 5: Transparency
      • MIM 6: Security
      • MIM 7: Places
      • MIM 8: Indicators
      • MIM 9: Analytics
      • MIM 10: Resources
    • MIMs Resources provide additional support for public sector and local administrations in cities and smart communities to learn and experiment with digital transformation initiatives:
      • CITYxCITY Academy: includes an online portal with access to experts, tools and courses.
      • CITYxCITY Catalogue: global collection of deployed solutions, products and best practice.
      • CITYxCITY Festival: annual networking event for the OASC community.
      • Living-in.EU MIMs Plus: an expansion of MIMs with additional technical stacks, tools and management standards for local administrations intended to support broad up-scaling of digital transformation projects in line with the Living in EU initiative, which aims to serve 300 million Europeans. The ‘plus’ banner refers to European specifications and initiatives, such as EIF4SCC, ISA2, CEF, INSPIRE, EIP-SCC, ELISA, LORDI, DIGISER (OASC 2022)[v].

    For smaller organisations, such as startups, SMEs and municipalities, data spaces can eliminate the need to make large upfront investments in digital infrastructure for advanced digital platforms and digital twins. Open-source technologies and smart data models can be reused as a foundation platform, instead of reinventing systems, data models, communications protocols, services, and security controls. This frees more time and financing to focus on value-creation, paying startups and smaller specialist service providers to integrate components and customize software and user interfaces to customer needs.

    The concept of distributed computing is not new, but what distinguishes European data space initiatives from hyperscaler ecosystems is common technical standards to ensure interoperability that reduce vendor lock-in, and enable collaboration to improve cybersecurity, data integrity, and fair economic value creation, while complying with important EU digital regulations for privacy, safety, and cyber resilience.

    [i] DSSC (Data Spaces Support Centre) (2024). Data Spaces Blueprint v1.5. Data Spaces Support Centre. https://dssc.eu/space/bv15e/766061169/Data+Spaces+Blueprint+v1.5+-+Home

    . Accessed 22.01.2025.

    [1] DSSC (Data Spaces Support Centre) (2024). Data Spaces Blueprint v1.5. Data Spaces Support Centre. https://dssc.eu/space/BVE/357076678/Marketplace+Functional+Specifications. Accessed 22.01.2025.
    [2] European Commission. Press release 26.08.2024. Minimal Interoperability Mechanisms: Advancing Europe’s digital future. https://data.europa.eu/en/news-events/news/minimal-interoperability-mechanisms-advancing-europes-digital-future
    [3] Open and Agile Smart Cities and Communities (OASC) (2024). Draft Recommention ITU-T Y.MIM. May 2024. https://mims.oascities.org/mims/y.mim-overview
    [i] DSSC (Data Spaces Support Centre) (2024). Data Spaces Blueprint v1.5. Data Spaces Support Centre. https://dssc.eu/space/bv15e/766061169/Data+Spaces+Blueprint+v1.5+-+Home. Accessed 22.01.2025.

    [ii] Sporny M., Longley D., Sabadello M., Reed D., Steele O., Allen C.; World-Wide Web Consortium (W3C) (2022). Decentralized Identifiers (DIDs) v1.0. W3C Recommendation 19.07.2022. https://www.w3.org/TR/did-core/

    [iii] Sporny M., Longley D., Chadwick D., Herman I.; World-Wide Web Consortium (W3C) (2025). Verifiable Credentials Data Model v2.0. W3C Candidate Recommendation Draft. 27.01.2025. https://www.w3.org/TR/vc-data-model-2.0/

    [iv] Ballhausen, H., Corradini, S., Belka, C. et al. (2024). Privacy-friendly evaluation of patient data with secure multiparty computation in a European pilot study. npj Digit. Med. 7, 280 (2024). https://doi.org/10.1038/s41746-024-01293-4

    [v] LI.EU Technical sub-group chaired by OASC (2022). MIMs Plus version 5.0 final draft. June 2022. https://living-in.eu/mimsplus

  • 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
  • FAME: Federated decentralized trusted dAta Marketplace for Embedded finance

    FAME: Federated decentralized trusted dAta Marketplace for Embedded finance

    January 1, 2023 @ 8:00 am – December 31, 2025 @ 5:00 pm CET

    (PROJECT)

    FAME. “FAME.” Accessed 13.08.2025. https://www.fame-horizon.eu.

    FAME is a joint effort of world-class experts in data management, data technologies, the data economy, and digital finance, aiming to develop and launch to the global market a unique, trustworthy, energy-efficient, and secure federated data marketplace for Embedded Finance (EmFi).

    ​The FAME project has received funding from the European Union’s Horizon 2023 Research and Innovation Programe under grant agreement nª 101092639. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Horizon Europe. Neither the European Union nor the granting authority can be held responsible for them.

    Marketplace

    The FAME Federated Data Marketplace for Embedded Finance is a Data Space, according to the definition of the EU, customized for buying and selling federated data assets in the financial sector.

    Accessible through a unified entry point, the Marketplace allows for secure data access, sharing, trading and analysis through FAME’s analytical tools for both finance and non-finance organizations, tech and non-tech users, and other end-users.

    Why FAME?

    Modern data marketplaces are transforming how data assets are shared, traded, and utilized. Recent European initiatives have made significant strides, particularly in enhancing data monetization, regulatory compliance, and secure data exchange. However, existing centralized marketplaces face challenges that limit broader participation and accessibility. Notable limitations include complex data discovery processes, limited transparency in value-based data monetization, and insufficient integration of trusted, energy-efficient analytics. Addressing these gaps can unlock new data-driven applications in sectors like finance, retail, and smart cities, empowering innovative services that seamlessly integrate financial data. That is where FAME comes in.

    Visit the project website
  • 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.

    Visit the project website
  • 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

    View Organizer Website

    Visit the project website
  • 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)

    View Organizer Website

    Visit the project website
  • IMS Commercialisation

    IMS Commercialisation

    June 18, 2020 @ 8:00 am – June 1, 2021 @ 5:00 pm CEST

    (PROJECT)

    The IMS commercialisation project was managed by an affiliated company that VentureNet acquired in 2023. The project was co-financed by the Norwegian development bank, Innovation Norway.

    The project developed a prototype of an Innovation Management System, which provided the technical foundation and building blocks for VentureNet’s Information Management System (IMS) and secure data exchange platform.

    Among the unique and groundbreaking IMS features are dynamic data enrichment capabilities with human-in-the-loop (HITL) models, low-code/no-code development functionality, and container technology for rapid deployment of digital applications, which can be customized for specific customer needs at a fraction of the time and cost of comparable application development platforms.

    Furthermore, digital applications that are developed by VentureNet can be integrated seamlessly with VentureNet’s marketplace to enable secure data exchange in digital marketplaces that adhere to EU data privacy regulations and common standards for International Data Spaces, Cybersecurity, Safety, Data Governance, Interoperability, and Cyber Resilience.

    Contact us to learn more about the IMS and how your organisation or region can leverage the IMS to manage your data, develop data-driven systems with trustworthy AI, build a virtual innovation ecosystem with resilient digital supply chains and access to secure international digital marketplaces.

    VentureNet

  • Norwegian Digital Innovation Ecosystem Launch: Development of Critical Digital Infrastructure in Norway

    Norwegian Digital Innovation Ecosystem Launch: Development of Critical Digital Infrastructure in Norway

    June 6, 2024 @ 9:30 am – 5:30 pm CEST

    (EVENT)

    The launch event for the Nordic Digital Innovation Ecosystem brought together stakeholders from leading research, innovation, public and private sectors to discuss development of next-generation digital infrastructure in Norway.

    To ensure a well-functioning and competitive digital future for Norway and the Nordic region, it is crucial that business and the public sector actively contribute to the development of our digital infrastructure. Join an important initiative by taking part in the work to:
    • Create value through data sharing and digital trust.
    • Build a robust and secure digital infrastructure.
    • Develop new and innovative technologies.

    In connection with the rapid development of important national initiatives with tight deadlines, we have had the opportunity to discuss development plans with Ulrich Ahle, CEO of Gaia-X, a European initiative for secure digital infrastructure, who is visiting Hamar on June 6. Ahle will participate in the opening of a national center for data-driven innovation that includes a Nordic Gaia-X hub and Fiware iHub.

    Visit the digital platform and video clips on VentureNets Online Marketplace and on Youtube.

    VentureNet

    Oslo City Hall

    Address: Rådhusplassen 1
    Oslo, 0037 Norway     + Google Map
    View Venue Website
    Visit the NDIE platform
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