CYBELE generates innovation and create value in the domain of agri-food, and its verticals in the sub-domains of PA and PLF in specific, as demonstrated by the real-life industrial cases to be supported, empowering capacity building within the industrial and research community. Since agriculture is a high volume business with low operational efficiency, CYBELE aspires at demonstrating how the convergence of HPC, Big Data, Cloud Computing and the IoT can revolutionize farming, reduce scarcity and increase food supply, bringing social, economic, and environmental benefits. CYBELE intends to safeguard that stakeholders have integrated, unmediated access to a vast amount of large scale datasets of diverse types from a variety of sources, and they are capable of generating value and extracting insights, by providing secure and unmediated access to large-scale HPC infrastructures supporting data discovery, processing, combination and visualization services, solving challenges modelled as mathematical algorithms requiring high computing power. CYBELE develops large scale HPC-enabled test beds and delivers a distributed big data management architecture and a data management strategy providing 1) integrated, unmediated access to large scale datasets of diverse types from a multitude of distributed data sources, 2) a data and service driven virtual HPC-enabled environment supporting the execution of multi-parametric agri-food related impact model experiments, optimizing the features of processing large scale datasets and 3) a bouquet of domain specific and generic services on top of the virtual research environment facilitating the elicitation of knowledge from big agri-food related data, addressing the issue of increasing responsiveness and empowering automation-assisted decision making, empowering the stakeholders to use resources in a more environmentally responsible manner, improve sourcing decisions, and implement circular-economy solutions in the food chain.

REEEM aims to gain a clear and comprehensive understanding of the system-wide implications of energy strategies in support of transitions to a competitive low-carbon EU society. Comprehensive technology impact assessments will target the full integration from demand to supply and from the individual to the entire system. It will further address its trade-offs across society, environment and economy along the whole transition pathway. The strong integration of stakeholder involvement will be a key aspect of the proposal. The assessments performed within REEEM will focus on integrated pathways, which will be clustered and categorised around two focal points: the four integrated challenges of the Integrated Roadmap of the Strategic Energy Technology (SET)-Plan and the five dimensions of the Energy Union. Case studies will further serve to investigate details and highlight issues that cannot be resolved at a European level. A range of outputs will target the specific needs of various stakeholder groups and serve to broaden the knowledge base. These include, among others, Policy Briefs, Integrated Impact Reports, Case Study reports and Focus Reports on economy, society and environment. A focus on technology research, development and innovation will be included through the development of Technology Roadmaps with assessments of the Innovation Readiness Level of technologies. Further, a set of enabling tools will help to disseminate and actively engage stakeholders, including a Stakeholder Interaction Portal, a Pathways Diagnostic Tool and an Energy System Learning Simulation. Access to all work developed and transparency in the process will be guiding principles within this project exhibited by, for example, providing open access to a Pathways Database.

The mission of the CRYPTECS project is to make privacy-preserving computing (PPC) technology readily available for industrial use by leveraging the broad expertise of a strong transnational Franco-German consortium. Our main innovation will be an open source cloud platform that promotes the adoption of PPC technology by offering a broad spectrum of business-ready PPC techniques (Secure Multiparty Computation, Homomorphic Encryption, Trusted Execution Environments, and methods of Statistical Disclosure Control) as reusable and composable services. The CRYPTECS solution will implement efficient techniques with comprehensive and provable end-to-end security and privacy guarantees. The main scientific challenges addressed in the CRYPTECS project are the elimination of shortcomings of individual PPC techniques, like performance of MPC and FHE or limited utility for DP, the removal of barriers to the integration of different PPC techniques into secure and privacy-preserving machine learning and data analytics services, and the fusion of PPC techniques and cloud native technology to address prerequisites for production use in an industrial context, like scalability. The CRYPTECS consortium, consisting of renowned scientific institutes, multinational companies, and innovative SMBs from both France and Germany, covers the expertise for today's most important PPC techniques and allows us to tackle challenges along the entire innovation chain, from basic research and industrial implementation to field trials with real customers in the IoT and the automotive domain. This breadth allows us to systematically investigate not only individual techniques in isolation but also the interactions between them at all relevant levels. This integrated approach requires intensive cooperation, which is supported by regular face-to-face meetings and the exchange of researchers between partners from Germany and France. We expect that CRYPTECS will have a lasting impact on the successful development and deployment of PPC technologies in Europe, so that privacy protection will be an enabler rather than an obstacle to new innovative applications. For European companies, this is an opportunity to improve their services and to conquer market shares with privacy-friendly GDPR-compliant products. By making PPC techniques suitable for large-scale industrial use, CRYPTECS will help to pave the way for a future in which empowered customers will be able to share their personal data for processing with companies that have earned trust through the use of state-of-the-art privacy-friendly technology. People's concerns about emerging technologies such as Autonomous Driving, Industry 4.0 and Big Data can be alleviated and their development can become a European success story. Obviously, this will have a beneficial impact on the lives of European citizens and societies as a whole.