Événement à la une
Du 30.01.2024 au 01.02.2024
Du 30 janvier au 1er février 2024, aura lieu à Paris le rendez-vous européen des acteurs de l'hydrogène.
Projects’ results are expected to contribute to some or all of the following outcomes:
Using big data for digital services and scientific research brings about new opportunities and challenges. For example, machine-learning methods process medical and behavioural data in order to find causes and explanations for diseases or health risks. However, a large amount of this data is personal data. Leakage or abuse of this kind of data, potential privacy risks (e.g. attribute disclosure or membership inference) and identity compromises pose threats to individuals, society and economy, which hamper further developing data spaces involving personal data. Likewise, there are similar challenges for the exploitation of non-personal/industrial data assets that may compromise the opportunities offered by the data economy. Advanced privacy-preserving technologies such as, for example, cryptographic anonymous credentials, homomorphic encryption, secure multiparty computation, and differential privacy have the potential to address these challenges. However, further work is required to ensure and test their applicability in real-world use case scenarios.
The security of any digital service or the access to data is based on secure digital identities. The eID Regulation provides the legal framework on which to build technological solutions that address the user needs concerning their digital identity. With regards to personal data, it is also important to develop self-sovereign identity solutions that give users complete control on their personal data and use.
Proposals should address usability, scalability and reliability of secure and privacy-preserving technologies in supply chain and take integration with existing infrastructures and traditional security measures into account. They should further take into account, whenever needed, the legacy variation in data types and models across different organizations. The proposed solutions should be validated and piloted in realistic, federated data infrastructures such as, for example, European data spaces. They should ensure compliance with data regulations and be GDPR compliant by-design. Open-source solutions are encouraged.
Consortia should bring together interdisciplinary expertise and capacity covering the supply and the demand side, i.e. industry, service providers and, where relevant, end-users. The use of authentication and authorisation infrastructure framework tools developed for data spaces, and notably with the European Open Science Cloud, could be considered. Participation of SMEs is strongly encouraged. Legal expertise should also be added to ensure compliance of the project results with data regulations and the GDPR.
The identification and analysis of potential regulatory aspects and barriers for the developed technologies/solutions is encouraged, where relevant.