In context of the transition to low-carbon, green and sustainable steel production in Europe, disruptive technologies to reduce the environmental footprint as close to zero as possible, seamless digitalisation of production processes, and skilled people to co-design and understand the transformation process are necessary. DiGreeS will address these needs by implementing an integrated digitalisation approach across the steel value chain, enabling better use of process data collected and ensuring the involvement of human experience for easier industrial integration. The aim of DiGreeS is to develop a user-friendly digital platform for networked production based on novel and soft sensors and related approaches and models to support efficient feedstock verification and real-time control of electric arc furnace crude steel production, increasing process yield while improving the quality of intermediate and final steel products. In this context, the potential of artificial intelligence techniques will be fully exploited to support the optimal use of industrial data, and different scenarios specific to each use case will be modelled. The digital platform will be implemented and verified in industrial process lines of the three use cases: scrap/secondary raw material verification, optimisation of the electric arc furnace processes and optimisation of the levelling of steel sheets. DiGreeS aims to improve the quality of crude steel and finished products, optimize scrap usage, and improve energy efficiency in the steel production process. DiGreeS has the potential to save up to €800 million in costs annually and reduce CO2 emissions from the steelmaking industry by up to 6 million tonnes per year.

Particle physics is at the forefront of the ERA, attracting a global community of more than 10,000 scientists. With the upgrade of the LHC and the preparation of new experiments, the community will have to overcome unprecedented challenges in order to answer fundamental questions concerning the Higgs boson, neutrinos, and physics beyond the Standard Model. Major developments in detector technology are required to ensure the success of these endeavours. The AIDA-2020 project brings together the leading European infrastructures in detector development and a number of academic institutes, thus assembling the necessary expertise for the ambitious programme of work. In total, 19 countries and CERN are involved in this programme, which follows closely the priorities of the European Strategy for Particle Physics. AIDA-2020 aims to advance detector technologies beyond current limits by offering well-equipped test beam and irradiation facilities for testing detector systems under its Transnational Access programme. Common software tools, micro-electronics and data acquisition systems are also provided. This shared high-quality infrastructure will ensure optimal use and coherent development, thus increasing knowledge exchange between European groups and maximising scientific progress. The project also exploits the innovation potential of detector research by engaging with European industry for large-scale production of detector systems and by developing applications outside of particle physics, e.g. for medical imaging. AIDA-2020 will lead to enhanced coordination within the European detector community, leveraging EU and national resources. The project will explore novel detector technologies and will provide the ERA with world-class infrastructure for detector development, benefiting thousands of researchers participating in future particle physics projects, and contributing to maintaining Europe's leadership of the field.