<< Background >>From the Innovation Centre for Vocational Education and Training of Aragon (CIFPA) and at the same time as the National Reference Centre for Commercial Logistics and Transport Management (CRN) for Vocational Education and Training, we are in charge of designing an updated and innovative training aimed at teachers, employed and unemployed with the aim of improving the employability and strategic development of our region. In the framework of the DIGinLOGS project, we intend to carry out an analysis of the needs in digital skills that the logistics sector demands internally from an international perspective and offer VET teachers, trainers and employed people an online training focused on the digitization of the sector. The factors that drive us to develop this project are the following:- Technology and digital infrastructure play a fundamental role in our private lives and in commercial environments.- Europe's main priority is to create a greater number of quality jobs and the digitization of Vocational Training is a key factor in adapting to the digital transformation of productive sectors through more efficient training adapted to technological changes.- Our centre depends on both the Ministry of Education and the Department of Education, Culture and Sports of the Government of Aragon and we develop the strategic lines marked by these in the V Aragonese Plan for VET.- The V Aragonese Plan for VET has marked six strategic lines to continue promoting Vocational Training, among which are: keep on working to increase employability in the Autonomous Community of Aragon, Vocational Training for the qualification of all people, in the search that their employability and the capacity of our companies and a digital VET, aimed at promoting the digital transformation of our economy.- One more reason to apply for the project is the commitment of our centre to continue establishing alliances and strengthening international collaboration networks, especially around training, since international cooperation and activities increase the attractiveness and excellence of Vocational Training.<< Objectives >>The DIGinLOGS project is articulated around the following global objectives:1. As the National Reference Centre in the field of logistics for Vocational Training, there is a need to be part of a broad international observatory/radar that, in cooperation with the European partners, will provide us with data on the evolution of the sector, the new needs or knowledge the companies are currently demanding from their workers in this regard and thus, be able to develop and offer VET teachers of this professional family, trainers and workers, an updated training that responds to the real needs of the sector.2. In addition, another of the global objectives is focused on mutual learning between partners in order to create a collaborative network regarding the demand and digitization needs of the logistics sector, give visibility to our work across borders and improve our work at a regional and national level with the cooperation of international experts, share our experiences and introduce innovation in our daily work in relation to the pedagogical design of our online training.3. As a final product of our project, we pursue to define and design a training itinerary in digitization of the sector, to design its corresponding training programme and implement an online course (MOOC), for VET teachers and workers linked to this professional family.<< Implementation >>There is a number of activities that will be held in order to achieve the main objectives. 1) Regarding our peer learning and networking on needs detection and the improvement of our strategies of cooperation with the productive sector, a short-term training activity and periodic virtual meetings will be held, addressing in detail the topics on:• Monitoring of forward-looking and innovative technologies and trends• Monitoring of innovative educational trends• Basic concepts of community management• Improvement of educational programs with the help of businesses among others2) As regards the final product in the form of a learning path focused on the digitization in the logistics sector, the development and implementation of online training (Mooc), a second specific short-term training activity will be carried out focused on peer learning about the excellence in pedagogical design and content presentation of online training actions (MOOC type).For the design and implementation of the online training that we will offer to our respective target groups, each partner will work closely with their regional and national networks, carrying out the following activities:- The qualitative and quantitative analysis, through interviews and surveys of teachers, trainers and productive sector in the project's partner countries, results sharing and final agreement among partners on the definition of the training path. - The establishment of the common bases for the elaboration of the training programs, the pedagogical design of the contents and the methodology.- Design and implementation of online training with the target group of each partner country for further analysis and dissemination.For the correct development and management of the different parts of the project, three transnational meetings as well as periodic virtual meetings will be held.Likewise, to achieve greater dissemination and impact, multiplier events will be held by each partner country throughout the life of the project.<< Results >>Through the activities within the framework of the DIGinLOGS project and in accordance with the proposed objectives, it is intended to obtain the following products and results:Results at the association level:- Constitute an international observatory/radar, sustainable in time, to carry out reports on situation analysis, innovation and trends monitoring of the logistics sector by means of quantitative and qualitative analysis.- Introduce innovation and best praxis regarding the pedagogical design and the implementation of online training.- Improve instruments and strategies of collaboration between the education and the productive sector and be able to adapt professional training to the constantly changing needs of the labour market.- Greater motivation of the participating staff, greater visibility of the activities of each partner, expansion of their collaborative network and creation of sustainable networking opportunities.Tangible results:The final result of the project consists of the elaboration of an online training itinerary in digitization of the sector (MOOC type) for teachers, trainers and workers linked to this professional family.Result at the target group level:The aim is to achieve higher qualification of the teaching staff, which can be translated into an improvement in their professional and personal skills.Being aware of the latest trends in regard to logistics, especially digitalization, the teaching staff, apart from a higher level of self-motivation, achieves a higher qualification of the students, which helps to address the problem of lack of qualified talent that the productive sector demands.

AISym4Med aims at developing a platform that will provide healthcare data engineers, practitioners, and researchers access to a trustworthy dataset system augmented with controlled data synthesis for experimentation and modeling purposes. This platform will address data privacy and security by combining new anonymization techniques, attribute-based privacy measures, and trustworthy tracking systems. Moreover, data quality controlling measures, such as unbiased data and respect to ethical norms, context-aware search, and human-centered design for validation purposes will also be implemented to guarantee the representativeness of the synthetic data generated. Indeed, an augmentation module will be responsible for exploring and developing further the techniques of creating synthetic data, also dynamically on demand for specific use cases. Furthermore, this platform will exploit federated technologies for reproducing un-indentifiable data from closed borders, promoting the indirect assessment of a broader number of databases, while respecting the privacy, security, and GDPR-compliant guidelines. The proposed framework will support the development of innovative unbiased AI-based and distributed tools, technologies, and digital solutions for the benefit of researchers, patients, and providers of health services, while maintaining a high level of data privacy and ethical usage. AISym4Med will help in the creation of more robust machine learning (ML) algorithms for real-world readiness, while considering the most effective computation configuration. Furthermore, a machine-learning meta-engine will provide information on the quality of the generalized model by analyzing its limits and breaking points, contributing to the creation of a more robust system by supplying on-demand real and/or synthetic data. This platform will be validated against local, national, and cross-border use-cases for both data engineers, ML developers, and aid for clinicians’ operations.

Efficient, reliable and sustainable delivery of energy is critical to the health and welfare of all people. Providing a low-carbon, climate resilient energy supply is a global challenge, which is even more demanding in remote areas. With increasing penetration of renewable energy resources (RES), and high expectations from end-users for energy reliability, connectivity and utilisation of available energy resources needs reconsideration. Thus, technologically smart and economically viable solutions for extending the lifetime of energy infrastructure will be in high demand. Incorporating more distributed RES and storage assets at the edges of the electricity grid, and optimally balancing these assets with other energy vectors, while extending the lifetime of current infrastructures will not only be economically viable, but at the same time decrease the level of carbonisation in local energy systems. E-LAND consortium believes that there are still major challenges in connection to technology, society and economics to overcome. In the E-LAND project, the main objective is to tackle these challenges and support the decarbonisation of energy islands by developing a E-LAND Toolbox for Multi-Energy Islands including tools and methods addressing the business, society and technology challenges. Project is going to implement the toolbox and demonstrate the viability and impact of the tools and methods created in 3 real life pilots in Europe and through simulations with 2 cases in India. Pilots have different geography, demography, sociography and maturity in terms of community and end-user activities, implementation of different energy vectors including storage, amount of renewables in the local energy mix and variety of loads that call for efficient and intelligent management system. To further expand the exploitation of E-LAND results, the Toolbox will be modular and the consortium will develop replication guidelines for utilising the tools in replication sites.

The European Commission’s Long-Term Strategy describes a number of pathways that reach between 80% and 100% decarbonisation levels. In every pathway a high level of direct and indirect electrification is envisaged, supported by a large-scale deployment of RES. The European power system has to address the residual load variability, on all timescales: from frequency response to inter-year flexibility. The main candidate solutions to provide flexibility are networks, demand-response, dispatchable and flexible power generation technologies, and energy storage. The appropriate deployment of innovative energy storage technologies is of primary importance for the clean energy transition. Sustainability and circular economy approach for storage innovations will minimize the environmental footprint and enhance the overarching efforts for achieving the European Green Deal targets. SINNOGENES project aims to develop the Storage INNOvations (SINNO) energy toolkit, a complete framework of methodologies, tools and technologies that will enable the grid integration of innovative storage solutions beyond the state-of-the art, while demonstrating sustainability, technical performance, lifetime, non-dependency on location geographical particularities and cost. It will develop successful energy storage business cases and systems and deploy them in innovative and 'green' energy systems at different scales and timeframes. SINNOGENES will target the effective integration of innovative energy storage systems and value chains at the interface of renewable energies and specific demand sectors, while ensuring the compatibility of systems and standards of distributed energy storage for participation in flexibility markets. Six pilot projects will take place in Portugal, Spain, Germany, Greece and Switzerland while a detailed scalability and replicability analysis will prove the wide impact of SINNOGENES project innovations at pan European level.

Hydrogen production by PEM water electrolysers (PEMWE) has the potential of becoming a key enabling technology in the deployment of FCH technologies in the future energy market as an energy storage system able to deliver hydrogen to different applications and enabling a high penetration of renewable energy sources (RES). PEMWE has showed capabilities in the emerging hydrogen scenarios to be a valid alternative to previously developed technologies, especially considering the dynamic and versatile operation expected of hydrogen production methods when integrated with RES. Despite the advances and improvements experienced to date with these systems, the technology needs to be further improved if it is to be installed as a competitive solution for energy markets and even more so in the case of off-grid configurations due to their particularities. The development of an autonomous off-grid electrolysers as an energy storage or backup solution (e.g. replacing diesel engines) is an unusual and challenging goal because it needs to have the capability of being directly coupled to RES in locations where the electricity grid is not deployed or weak. The main goal of the ELY4OFF proposal is the development and demonstration of an autonomous off-grid electrolysis system linked to renewable energy sources, including the essential overarching communication and control system for optimising the overall efficiency when integrated in a real installation