VentureNet

AI-Mind: Artificial Intelligence for Dementia Prevention
2021-03-01 08:00 - 2026-02-28 17:00 (Europe/Oslo)
(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.

EBRAINS: A Research Infrastructure to Advance Neuroscience and Brain Health
2022-09-01 08:00 - 2026-12-31 17:00
(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.

enRichMyData
2022-10-21 08:00 - 2025-09-30 17:00
(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.

FAME: Federated decentralized trusted dAta Marketplace for Embedded finance
2023-01-01 08:00 - 2025-12-31 17:00
(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.

MinDID: Desentralised Identity (DID) and consent management for secure data exchange
2023-10-01 08:00 - 2024-10-31 17:00
(PROJECT)

MinDID was a research project in 2024 managed by VentureNet AS in collaboration with the Norwegian Computing Centre (NR), which received co-financing from the Research Council of Norway and Innlandet County through the FORREGION program.

MinDID succeeded in developing an reference architecture for a cutting-edge decentralized identity and consent management (MinDID) component for VentureNet’s data exchange platform to enable interoperability between decentralized identity and consent management solutions, such as self-sovereign identity wallets.

According to an OECD report, a well-known barrier to data exchange is “a proliferation of standards, and a lack of common standards”. A key research question in the project was how to develop an open, independent and interoperable solution for decentralized identity and consent management (MinDID), which will be able to integrate with several commercial solutions for digital identity and consent management.

The MinDID component aims to give data owners the ability to choose which applications they want to use for managing their identity, consent and data storage, in addition to easily switching between different solutions without having to lose control and overview of their data and settings for data exchange. MinDID can also enable third-party platforms to maintain customer relationships and data exchange agreements even if customers switch vendors for digital identity and consent.

NR assisted in a mapping of relevant data exchange standards and technologies to ensure that the development framework for MinDID is in line with relevant EU initiatives, and contribute to increasing scalability and interoperability of VentureNet’s data exchange system.

NR has cutting-edge expertise in digital identity, access management, encryption and security in digital marketplaces that are being developed in the EU, and which is highly relevant to the VentureNet consortium’s future research project plans. NR participates in several relevant EU projects, such as the Horizon project “FAME” that aims to develop a decentralized digital marketplace for “secure, interoperable and regulatory compliant data exchange in line with European initiatives such as GAIA-X”.

Want to learn more?

Contact VentureNet to learn more about research results and collaboration opportunities.

Data Space for Smart and Sustainable Communities
2023-10-01 08:00 - 2026-09-30 17:00
(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.

Visit the 11 Pilot Data Spaces Projects in Europe

Explore the Data Space Blueprint for Smart Communities

COMFORTage
2024-01-01 08:00 - 2027-12-31 17:00
(PROJECT)

Grupo Antena. “COMFORTage.” Accessed 14.08.2025. https://comfortage.eu.

COMFORTage is a four-year project funded through the European Unión´s Horizon Europe Programme involving 39 organisations from 12 countries. Funded by the European Union (Grant Nº 101137301) and supported by Innovative UK (Grant Nº 10103541) . Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Health and Digital Executive Agency (HADEA). Neither the European Union nor the granting authority can be held responsible for them.

Fostering Personalized solutions for prevention of dementia and frailty

COMFORTAGE is a joint effort of medical experts, social scientists and humanists, technical experts, Digital Innovation Hubs (DIHs) and Living Labs (LLs) to establish a pan European framework for Community-based, Integrated and People-Centric prevention, monitoring and progression managing solutions for dementia and frailty.

COMFORTage will developed 13 pilots at 8 EU members states. The main objective is to supply relevant subjects data on Scientific Technology Options Assessment (SToA) referred to dementia and frailty detection and intervention and deploy, validate and evaluate the models and tools in real life new clinical scenarios (Beta Solution Treated and Overaged-BSToA).

COMFORTage Virtualized AI-Based Healthcare Platform (VHP)

The project will create a first of a kind Virtualized AI-Based Healthcare Platform (VHP) that will centralize access to project’s AI resources for risk factor analysis, early diagnosis and personalized decision making for age-related mental and physical diseases and disorders.

Partners

COMFORTage strives to establish a pan-European framework for community-based prevention and intervention strategies to facilitate effective lifestyle changes thought the synergies of our Consortium and other stakeholders. Our consortium is compose by:

8 Research Institutions/Universities

11 Healthcare Organizations & Actors

12 Industry and SME partners

4 Social Multipliers and Associations

4 SSH and Legal Organizations

INN-the-Loop: Human-Centered Artificial Intelligence
2024-01-12 08:00 - 2025-03-30 17:00
(PROJECT)

INN-the-Loop was a research project in 2024 managed by the University of Inland Norway (INN) with contributions from the Norwegian Computing Center (NR), SINTEF, NTNU SFI NORCICS (Norwegian Center for Cybersecurity in Critical Sectors), and VentureNet AS. The project was co-financed by the Research Council of Norway and Innlandet County through the Regional Research Fund (RFF) program.

The INN-the-Loop project analysed limitations and risks related to ML, GenAI and Agentic AI. It identified significant risks and barriers to widespread adoption of AI in healthcare and other critical sectors that demand high standards of accuracy, safety, security, and privacy.

The project builds on results from a research project in 2023 with several leading Norwegian research institutions and VentureNet AS, a Norwegian technology company specialising in data exchange automation. A key result from the 2023 project was a framework for Human-Guided Artificial Intelligence and Data Exchange (Human-GAIDE).

Human-GAIDE was developed to address widespread challenges with data accuracy in AI models. AI and machine learning (ML) models are vulnerable to missing data, erroneous data, manipulation of data and systems, and AI bias, all of which can impact the accuracy of an AI-model. Error and cyber vulnerabilities can compromise the safety of AI-enabled systems and lead to undesirable outcomes, such as proliferation of manipulated and distorted information or medical device failure.

The project developed a highly scalable methodology to design trustworthy AI-systems with dynamic HITL models for smart healthcare. This is applicable to several critical sectors with high requirements for safety, security and resilience.

Nordic Digital Innovation Ecosystem
2024-05-22 08:00 - 2026-12-01 17:00
(PROJECT)

The Nordic Digital Innovation Ecosystem (NDIE) is an ongoing business network development initiative to support development of trustworthy systems and infra- structure in critical sectors by connecting public and private sectors and research institutions and supporting project establishment.

The project was initiated in 2024 and managed by Klosser Innovasjon AS and VentureNet AS in collaboration with the Norwegian Computing Center (NR), the Norwegian Center for Cybersecurity in Critical Sectors (SFI NORCICS), the Institute for Energy Technology (IFE), and Smart Innovation Norway, with financial support from Innlandet County in Norway.

Within 5 months of the project’s start, NDIE organised and executed 9 successful international events, including some of Norway’s first seminars and webinars on European Data Spaces and a trailblazing 2-day Nordic Matchmaking Event at DNV Headquarters and NR Headquarters in Oslo.

Some of the speakers included representatives from the Norwegian Digitalisation Agency, Sykehuspartner, Det Norske Veritas, DNV-Nixu, FICEC, F-Secure, Defendable, Business Finland, the City of Wien in Austria, Gaia-X, and FIWARE.

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