SAPPAN aims to develop a platform for sharing and automation to enable privacy preserving and efficient response and recovery utilizing advanced data analysis and machine learning. SAPPAN will provide a cyber threat intelligence system that decreases the effort required by a security analyst to find optimal responses to and ways to recover from an attack. SAPPAN will enable this within a single organization as well as across organisations through novel models for privacy-preserving data processing and sharing. It will enable utilizing external experts for intrusion detection and sharing of knowledge on response and recovery actions while respecting the privacy and confidentiality requirements of individuals and organizations. SAPPAN will enable a European level perspective on advanced cyber security threats detection, response, and recovery making four key contributions that go beyond existing approaches: (1) privacy-preserving aggregation and data analytics including advanced client-side abstractions; (2) federated threat detection based on sharing of anonymised data and sharing of trained machine learning models; (3) standardisation of knowledge in the context of incident response and recovery to enable reuse and sharing; (4) visual, interactive support for Security Operation Center operators. SAPPAN aims to provide solutions for public international institutions and multinational companies who want to enrich their Situational Awareness by sharing cyber security intelligence as well as solutions for small and midsize companies enabling them to outsource intrusion detection. SAPPAN will be demonstrated in the relevant environments of 2 multinational companies, 1 National Research and Education Network (NREN) and 2 Computer Security Incident Response Teams (CSIRT). The consortium consists of 1 NREN, 3 multinational companies, 3 universities and 1 research institute so as to maximise the technical and societal impact, the dissemination and uptake of the results.

EOSC Beyond overall objective is to advance Open Science and innovation in research in the context of the European Open Science Cloud (EOSC) by providing new EOSC Core capabilities allowing scientific applications to find, compose and access multiple Open Science resources and offer them as integrated capabilities to researchers. To do so, EOSC Beyond supports a new concept of EOSC: a federated and integrated network of Nodes operated at different levels, national, regional, international and thematic, to serve the specific scientific missions of their stakeholders. Further specific objectives of the project are to accelerate ‘time to product’ of new scientific applications with software adapters, enable Open Science with machine composability and dynamic deployment of shared resources, support innovation in EOSC with a testing and integration environment, and align the EOSC Core architecture and specifications to integrate with European dataspaces. The project extends the state of the art of the EOSC Core and adopts a co-design methodology, including requirements elicitation, software development and validation in collaboration with different use cases from EOSC national and regional initiatives (e-Infra CZ, Czechia, NFDI, Germany, and NI4OS, South East Europe region), thematic research infrastructures from Social Sciences and Humanities (CESSDA), Life Sciences (CNB-CSIC and Instruct-ERIC), Environmental Science (ENES and LifeWatch), and Health and Food (METROFood-RI). EOSC Beyond builds on the capacities of prospective EOSC Nodes and partners with multi-annual experience in developing solutions for large-scale federated digital infrastructures and aligns with the technical architecture and requirements of data spaces from different business sectors. Ultimately, EOSC Beyond supports Open Science in modern, data-intensive, and multidisciplinary research, facilitating resource discovery, access, and reuse across scientific communities, organisations, and countries.

A scientific and technological paradigm change is taking place, concerning the way that very high performance time and frequency reference signals are distributed, moving from radio signal broadcasting to signal transport over optical fibre networks. The latter technology demonstrates performance improvements by orders of magnitude, over distances up to continental scale. Research infrastructures are developing several related technologies, adapted to specific projects and applications. The present project aims to prepare the transfer of this new generation of technology to industry and to strengthen the coordination between research infrastructures and the research and education telecommunication networks, in order to prepare the deployment of this technology to create a sustainable, pan-European network, providing high-performance "clock" services to European research infrastructures. Further this core network will be designed to be compatible with a global European vision of time and frequency distribution over telecommunication networks, enabling it to provide support to a multitude of lower-performance time services, responding to the rapidly growing needs created by developments such as cloud computing, Internet of Things and Industry 4.0. The project aims at partnership building and innovation for high performance time and frequency (clock) services over optical fibre networks and to prepare the implementation of such a European backbone network.

The MAGIC Project seeks to establish a set of agreements for Europe, Latin America and other participating World Regions, aiming at consolidating and completing the building blocks of middleware necessary for the establishment of a marketplace of services and real-time applications for international and inter-continental research groups which facilitates mobility and the work of global science communities. More specifically, the project specific goals are: -To foster the deployment of the platforms that enable mobility of people and seamless access to services by promoting the establishment of identity federations interconnected via eduGAIN, creating awareness of privacy and security issues and spreading eduroam by: sharing experiences, carrying out training and making available shared infrastructure to ease the process in the partner world regions. -To develop a model for inter-operation between NREN cloud application markets of participating world regions, based on cloud provisioning and taking advantage of applications developed and run by NRENs across different continents to create a model for a worldwide application market for collaboration tools and services -To seek consensus among participating world regions on the importance of interoperability of real-time applications and work towards the adoption of standards such as those proposed by the Global CEO Forum to promote the creation of a worldwide environment for these applications. -To foster the collaborative work of Global Science Communities by actively promoting the participation of Latin American and other regions’ researchers in European Commission Calls and those of other international funding agencies with high impact in the participating regions and other networking activities.