LaiQa comes as a technology intensive research and innovation action aiming to develop and advance critical components and technologies necessary to build a global spaced-based quantum network. LaiQa envisions to realize unconditionally secure quantum communications over long distances bringing functional QKD components together with advanced system integration techniques towards deployable space-QKD systems. The project's objectives will include the development of space-deployable, high-brightness 1550 nm entangled photon pair source (EPPS), a space-suitable Decoy State - BB84 Prepare and Measure (P&M) source, a photonic integrated EPPS for next-generation on-board sender stations, a quantum memory for long-distance entanglement distribution, an advanced fiber-coupling/adaptive optics system for converged space/terrestrial QKD segments, and software components towards the optimization of LaiQa architecture. The project will demonstrate P&M- and entanglement based QKD systems both in lab/terrestrial FSO testbeds and in field demonstrations in Helmos optical ground station (OGS). LaiQa will also mobilize its consortium to prioritize standardization activities that focus on space components for P&M- and entanglement-QKD, consider interfaces and parameters for them to propose specification standards and potentially trigger new standardization activities within EU.

Ever since the cloud-centric service provision started becoming incapable for efficiently supporting the emerging end-user needs, compute functionality has been shifted from the cloud, closer to the edge, or delegated to the user equipment at the far-edge. The resources and computing capabilities residing at those locations have been lately considered to collectively make-up a ‘compute continuum’, albeit its unproven assurance to securely accommodate end-to-end information sharing. The continuum-deployed workloads generate traffic that steers through untrusted HW and SW infrastructure (domains) of continuously changing trust-states. CASTOR develops and evaluates technologies to enable trustworthy continuum-wide communications. It departs from the processing of user-expressed high-level requirements for a continuum service, which are turned-to combinations of security needs and network resource requirements, referred to as CASTOR policies. The policies are subsequently enforced on the continuum HW and SW infrastructure to realise an optimised, trusted communication path delivering innovation-breakthroughs to the so-far unsatisfied need: a) for distributed (composable) attestation of the continuum nodes and subsequent elevation of individual outcomes to an adaptive (to changes) continuum trust quantification; b) for the derivation of the optimal path as a joint computation of the continuum trust properties and resources; c) for continuum infrastructure vendor-agnostic trusted path establishment, seamlessly crossing different administrative domains. The CASTOR will be evaluated in operational environments of 4 use-cases whereby varying types of security/safety-critical information is shared. Project innovations will be exhaustively assessed in 3 diverse application domains utilising the carefully-designed CASTOR testbed core for each case. Our results will provide experimental evidence for the CASTOR's efficiency and feed the incomplete trust-relevant (IETF) standards.

The turnover of mining and quarrying in Europe reaches up to 224 billion Euros and has generated EUR 64.9 billion of value added, 1% of the non-financial business economy total. The rise of key enabling technologies and the urbanisation and industrialisation of emerging economies in combination with increase in population and living standards will continue to drive growing demand for raw materials. The need to extract raw materials in a profitable, environmentally sound, and safe way for both mining workforce and communities is driving the mining industry towards innovative approaches to transform operations. Even though Industry 4.0 offers a wide spectrum of solutions, and intelligent technologies to address respective challenges, the mining industry hesitates to adopt such innovative approaches when compared to downstream industries. In addition, the need for a human-centred, environmentally oriented and society-driven approach is emerging in developing Industrial Internet of Things technologies for mining. Dig_IT will address the needs of the mining industry to move forward towards a sustainable use of resources while keeping people and environment at the forefront of their priorities. In order to achieve that Dig_IT proposes the development of a smart Industrial Internet of Things platform (IIoTp) that will improve the efficiency and sustainability of mining operations by connecting cyber and physical systems. The platform will collect data from sensors at 3 levels: (i) human, (ii) assets, (iii) environment and will also incorporate both market real time and historical data. The impact of Dig_IT to the European Mining industry, but also the society itself, can be summarised in the following (with a horizon of 4 years after project ends): (i) increase of the mining efficiency by 17%, (ii) increased OEE for machines and loading by 20% and 18% respectively, (iii) 19% reduction of CO2eq, (iv) about 310 new jobs created and (v) over 28M EUR ROI for the consortium.

Recent literature has underlined the interplay among climate mitigation, adaptation, and finance, as well as between climate action and other development agendas, including sustainable resource use, human development and equity, and environmental pressures. Such an interconnected policy environment requires an integrated ecosystem of disciplines, methods, and tools. Despite the significant evolution of integrated assessment models (IAMs) in the last decade, there remain several criticisms on their design, use, and adequacy to respond to unaddressed and emerging questions in the light of the Paris Agreement and net-zero ambition. These include openness, legitimacy, and ownership, as well as technical feasibility to represent demand-side and broader societal transformations, cross-sectoral interactions, physical impacts and adaptation, climate finance and labour dynamics, and other sustainability goals. DIAMOND will update, upgrade, and fully open six IAMs that are emblematic in scientific and policy processes, improving their sectoral and technological detail, spatiotemporal resolution, and geographic granularity. It will further enhance modelling capacity to assess the feasibility and desirability of Paris-compliant mitigation pathways, their interplay with adaptation, circular economy, and other SDGs, their distributional and equity effects, and their resilience to extremes, as well as robust risk management and investment strategies. This will be done via integration of tools and insights from psychology, finance research, behavioural and labour economics, operational research, and physical science. We will develop a transdisciplinary scientific approach to legitimise the implementation process and co-create research questions that stretch the frontiers of climate science, as well as establish vibrant communities of practice to transparently open model enhancements and to develop capacities, thereby lowering the entrance barriers to the established IAM community.