"E-CUL-TOURS: Managing Cultural Heritage in Tourism is a Strategic Partnership in Higher Education addressing issues present in Tourism Management master courses linked to Cultural Heritage, as this last is not perceivded as a real asset of tourism. This need has been recognized by different European stakeholders that stated in the public consultation ""European Tourism of the Future"" from the DG Enterprise and Industry, that ""the valorisation of cultural heritage sites"" is one of the opportunities to exploit to relaunch tourism and employability"". In 2012, one in ten enterprises in the European non-financial business economy belonged to the tourism industries. These 2.2 million enterprises employed an estimated 12.0 million persons. Enterprises in industries with tourism related activities accounted for 9.0 % of the persons employed in the whole non-financial business economy and 21.9 % of persons employed in the services sector. (Eurostat). Hence, Tourism and Cultural Heritage as an asset of it play a very important for the economy of the European Union. The objective of the present partnership is the development and pilot implementation of an innovative Tourism Module on Managing Cultural Heritage in Tourism (15 ECTS) on a Master level, that will be cross-sectorial and that will accrue skills of the users in the creation of case studies related to specific cultural heritage contexts. The present project has a cross-sectorial approach and is made of 1 SME, EUFRAK-EuroConsults Berlin GmbH (Germany), 4 universities, the Fachhoschule Stralsund (Germany), Dalarna University (Sweden), Aveiro University (Portugal), Bergamo University (Italy) and one association, the European Projects Association (Belgium). The different profile and expertises of the partnership will allow the cross-sectorial approach the project is seeking and will let possible the development of new and innovative outputs that will be freely available to everyone wishing to increase its skills in the interpreation and creation in heritage contexts. E-CUL-TOURS will deliver 4 main Intellectual Outputs that will accessible to students, teachers but also professional figures active in the field of Cultural Heritage and Tourism. The master module will be built on different phases that will be recognised with 5 ECTS each, having a total of 15 ECTS. Firstly, the different outputs will be created by the partnership in close relationship with stakeholders and other professionals active in the sector. The developed master course does not foreseen any frontal teaching unit and will be made of different formats. In the second phase of the project, the master module will be teached in an Staff Training Teaching Event. It will be afterwards implemented by students, lecturers and other experts during Intensive Study Programmes and within blended mobilities. The master module will expresslly support blended mobilities, virtual and distance learning, distance tutoring and additional virtual working possibilities. The developed real case studies will be implemented and presented in real working contexts. A profile with requirements in terms of skills the students should acquire will be made through a Europe wirde survey gaining feedbacks from stakeholder active in the field. A textbook on ""Managing Cultural Heritage in Tourism"" with entrepreneurial approach and marketing aspects will be created by the partnership. It will comprehend also European funding possibilities for Cultural Heritage and Tourism the students and other stakeholders have the possibility to use. A video course will be recorded and will complement the first output. An online collaborative platform will be introduced within the partnership and used for promoting e-learning within the project and among stakeholders. As third output, a didactic tutorial with learning and teaching methodologies will be completed, followed by a technical tutorial for the different used tools. The expected impact of the project is that students and other figures involved in the master module increase their skills in creating case studies in heritage contexts and ultimately ameliorate their working possibilities through these acquired skills. Other stakeholders will accrue their skills using the developed material. The master module will be revised in the last 6 months of the project and ameliorated according to the evaluations received during the test implementation phase. It will be freely accessible to every interested person, institution or company. Long term benefits will result in the creation of case studies for cultural heritage regional context increasing tourism attractivity for the specific context. That will have a positive effect on cultural heritage sites, tourism and in last istance in the economy of the different regional contexts. Employability will thus increase having also a positive effect on tourism sites and on tourism industries and companies."

AIMS5.0, a collaborative Innovation Action aims at strengthening European digital sovereignty in comprehensively sustainable production, by adopting, extending and implementing AI-enabled hardware and software components and systems across the whole industrial value chain to further increase the overall efficiency. Vulnerability of existing supply chains in crisis shows the need for shorter supply chains and for keeping production in Europe. AI enabled fabs will be given more output and higher sustainability, which makes them more competitive on a global scale. New technologies from IoT and based on semantic web ontologies, ML and AI will help to enable the transformation from Industry4.0 to Industry5.0, to create human-centric workplace conditions and to enable the transformation of European industry to climate-friendly production. Above all, sustainability and resilience will be improved. In essence, AIMS5.0 will deliver: - AI-enabled electronic hardware components & systems for sustainable production - AI tools, methods & algorithms for sustainable industrial processes - SoS-based architectures & micro-services for AI-supported sustainable production - Semantic modelling & data integration for an open access productive sustainability platform - Acceptance, trust & ethics for explainable industrial AI leading to human-centered sustainable manufacturing 20 use cases in 9 industrial domains resulting in high TRLs will validate the project’s findings in an interdisciplinary manner. A professional dissemination, communication, exploitation and standardisation will ensure the highest impact possible. For the first time a joint approach for implementing AI and AI-enabled hardware will be developed that overarches different industrial domains. AIMS5.0 will result in lower manufacturing costs, increased product quality through AI-enabled innovation, decreased time-to-market and increased user acceptance of versatile technology offerings. They will foster a sustainable development, in an economical, ecological and societal sense and act as enablers for the Green Deal and push the industry towards Industry5.0. The innovations will leverage the experience of the 53 partners, such as renowned OEMs, Tier-1 and Tier-2 suppliers, technology and application large enterprises and SMEs, supported by academic research specialists in fields like AI, industrial hard-ware and software, decision making and management algorithms. Specific outcomes of the project are - 20% faster time to market, - Participation of disabled people in the factory environment > 5% (in relation to the total number of employees employed in production), - AI based MES capability > 10 %, - Increased user awareness and trust by 10%, - Subsequent reduction of environmental footprint for wafer transport, handling and storage > 20 %, - 50% reduction of time for monitoring industrial equipment. AIMS5.0 is a pan-European initiative to boost industrial competitiveness through interdisciplinary innovations, establishing sustainable ECS value chains and therefore contribute to European Digital Sovereignty addressing urgent issues like Security of Supply, Monitoring and Crisis Response, and Chip Shortage.

PRODUCTIVE4.0 - AMBITIOUS PROJECT WITH A UNIQUE MAIN OBJECTIVE The main objective of Productive4.0 is to achieve improvement of digitising the European industry by electronics and ICT. Ultimately, the project aims at suitability for everyday application across all industrial sectors – up to TRL8. It addresses various industrial domains with one single approach of digitalisation. What makes the project unique is the holistic system approach of consistently focusing on the three main pillars: digital automation, supply chain networks and product lifecycle management, all of which interact and influence each other. This is part of the new concept of introducing seamless automation and network solutions as well as enhancing the transparency of data, their consistence and overall efficiency. Currently, such a complex project can only be realised in ECSEL. The consortium consists of 45% AENEAS, 30% ARTEMIS-IA, 25% EPOSS partners, thus bringing together all ECSEL communities. Representing over 100 partners from 19 EU and other associated countries, it is a European project, indeed. HANDS-ON SOLUTIONS FOR THE EUROPEAN DIGITAL INDUSTRY • Productive4.0 tackles technological and conceptual approaches in the field of Industry 4.0. The term comprises IIoT (Industrial Internet of Things), CPS (Cyber Physical Systems) and Automation. • The innovation project takes a step further towards hands-on solutions. In the process, practical reference implementations such as 3D printerfarms, customised production or self-learning robot systems will benefit in fields like service-oriented architecture (SOA), IOT components & infrastructures, process virtualisation or standardisation. These fields are addressed in the work packages WP1 through WP6. • In addition to furnishing the industry with tailor-made digital solutions, the Productive4.0 Framework will be provided. • Productive4.0 is a brain pool initiated to strengthen the international leadership of the European industry.

The Human Brain Project (HBP) is a major European scientific research initiative to improve our understanding of the brain and the role it plays in making us human, and to exploit the opportunities offered by the resulting knowledge. The size and complexity of the brain make this an expensive undertaking, but the costs associated with our current ignorance are rising and the potential gains from better insight into the brain are increasing. Brain-related diseases, many of which are age-related, now represent a major part of the global health burden and there are both ethical and economic imperatives to keep the growing number of older people healthier and more productive. Economic advantage is increasingly linked to artificial intelligence (AI), our ability to create technology to extract, manipulate and harness knowledge. The HBP’s comprehension of what makes the human brain so efficient and flexible should help to maintain Europe’s competitiveness and innovation potential in this area. The HBP is one of several brain research initiatives and projects around the world, albeit one of the first, but it is unique in a number of ways. Only the HBP has an explicit focus on both neuroscience and computing. It is also the broadest and most integrated brain initiative, and the only one aiming to build a research infrastructure to accelerate brain research. The HBP is a FET Flagship which started under FP7 and continues under H2020 with a succession of Specific Grant Agreements (SGAs) under a Framework Partnership Agreement (FPA). In its FP7 Ramp-Up Phase (2013-16) and subsequent SGA1 funding period (2016-18), the HBP implemented a scientific project of rare ambition, breadth and scale, and forged its diverse constituents into a functioning entity. On the scientific side, it not only identified critical gaps in our understanding of the brain, but also created tools and obtained data to fill many of them. It designed, built and demonstrated six ICT research platforms, supporting neuroinformatics, brain simulation, high-performance analytics and computing, medical informatics, brain-inspired computing and linking of simulated brains to robotic bodies. The results have been made available to the scientific community. The HBP also learnt to address underperformance and conflicts, and opened up the Project via competitive calls and the integration of Partnering Projects. In the upcoming SGA2 funding period (2018-20), the HBP will continue to strengthen global brain research efforts by extending coordination with other brain initiatives and projects. Internally, it will continue its unique inter-disciplinary co-design approach, developing research infrastructure capabilities via use cases built around specific research needs. This approach will underpin its critical scientific work of understanding how to bridge between the different scales of brain organisation, a key prerequisite to understand the principles of brain organisation. It will include gathering data to support detailed modelling, notably of the human hippocampus, as well as structural, functional and connectivity data to improve systemic understanding of the whole brain. The HBP will also investigate brain similarities and differences between individuals and between species. It will model key brain functions, including visual recognition, slow-wave activity, episodic memory and consciousness in rodents and humans, and elaborate their cognitive architectures. In addition, it will develop simplified brain models to support further development of brain-inspired computing. SGA2 will see the individual infrastructure platforms extended and integrated into the HBP Joint Platform (HBP-JP). The JP will make HBP services more robust and improve the user experience, encouraging wider use of its tools. SGA2 should thus see a shift from supplier-driven to user-driven capabilities, while the infrastructure underpinning them will be tied closely into EU efforts to integrate and stre

The last of four multi-year work plans will take the HBP to the end of its original incarnation as an EU Future and Emerging Technology Flagship. The plan is that the end of the Flagship will see the start of a new, enduring European scientific research infrastructure, EBRAINS, hopefully on the European Strategy Forum on Research Infrastructures (ESFRI) roadmap. The SGA3 work plan builds on the strong scientific foundations laid in the preceding phases, makes structural adaptations to profit from lessons learned along the way (e.g. transforming the previous Subprojects and Co-Design Projects into fewer, stronger, well-integrated Work Packages) and introduces new participants, with additional capabilities. The SGA3 work plan is built around improved integration and a sharpening of focus, to ensure a strong HBP legacy at the end of this last SGA. In previous phases, the HBP laid the foundation for empowering empirical and theoretical neuroscience to approaching the different spatial and temporal scales using state-of-the-art neuroinformatics, simulation, neuromorphic computing, neurorobotics, as well as high-performance analytics and computing. While these disciplines have been evolving for some years, we now see a convergence in this field and a dramatic speeding-up of progress. Data is driving a scientific revolution that relies heavily on computing to analyse data and to provide the results to the research community. Only with strong computer support, is it possible to translate information into knowledge, into a deeper understanding of brain organisation and diseases, and into technological innovation. In this respect, the underlying Fenix HPC and data e-infrastructure, co-designed with the HBP, will be key. The services offered by EBRAINS will be grouped in six Service Categories: SC1: Curated and shared data: EBRAINS FAIR data services - neuroscience data publishing SC2: Brain atlas services: navigate the brain in 3D - find, contribute and analyse brain data, based on location SC3: Brain modelling and simulation workflows: integrated tools to create and investigate models of the brain SC4: Closed loop AI and robotics workflows: design, test and implement robotic and AI solutions SC5: Medical Data Analytics SC6: Interactive workflows on HPC or NMC: Europe-wide access to scalable and interactive compute services Their users are to be supported with High-Level Support Teams and Vouchers, as well as Engagement and Facility Hubs located around Europe, at which additional services, unique equipment and compute infrastructure will be offered by local HBP Partners. Significant outcomes in relevant scientific communities are expected to materialise rapidly. Association with new Partnering Projects is still sought, along with wider international cooperation. The SGA3 objectives can be summarised as: 1) Establish a sustainable European scientific research infrastructure, EBRAINS, leading to an increased use and adoption of FAIR data, web-based analyses, model building, simulation, atlasing, and virtual experiments for brain research and brain-inspired sciences. 2) Provide a multi-level atlas of the human brain - the first of its kind that links microstructural detail and inter-subject variability. 3) Increase the capacity of neuroscientists for multiscale neural activity modelling of the human brain network. 4) Increase the availability of integrated multiscale data and computational models supporting brain states transitions, network complexity and cognitive functions. 5) Enhance real-world task performance through biologically plausible adaptive cognitive architectures running on neuromorphic hardware and a closed-loop Neurorobotics Platform. 6) Ensure that neuroscientific insights at the interface of neuro-inspired computing and technology are being translated into a benefit for patients with brain diseases. 7) Ensure an ethically and legally compliant infrastructure and promote embedding of Responsible Research and Innovation, a