I-SEAMORE is an Ecosystem composed of an advanced platform solution to host and manage the operation of several innovative assets, services and systems that aim to provide European Authorities with increased situational awareness and operational capabilities for Maritime surveillance operations resorting to aerial and water surface support. The core platform (infrastructure and software layers) is conceptualized to be deployed and operated at Maritime Operation Centres (MOCs) with interfaces to other systems including the UxVs Ground Control Stations (GCSs), as well as external systems. It thus provides end-users with a holistic platform capable of handling several multipurpose tasks including, e.g., wide maritime border and coastal areas monitoring, analysis of potential threats, support to search and rescue operations, detection of illegal activities, among others. Such tasks will be possible since I-SEAMORE platform provides a complete set of functionalities and capabilities to mission commanders, focusing on 4 main pillars: 1) employment and indirect tasking of multiple types of long-endurance Unmanned Assets (aerial and water surface), 2) exploitation of heterogeneous data sources e.g. payload data and open data sources including Copernicus Services, 3) provision of a common operational picture empowered by a novel and comprehensive suite of data fusion services based on Artificial Intelligence (AI) and Big Data Analysis, for optimal decision making and successful mission execution of the desired missions, and 4) interoperability within the Ecosystem and its interface with key existing external systems. Moreover, the project will also generate additional knowledge to support the uptake of the solution at EU level, as well as multi-country, multi-authority collaboration, including novel concepts of operation, standard operating procedures for joint operations, and new methodologies for co-creation and validation of maritime security solutions by end-users.

The lack of ICT platforms based on open standards is regarded as one of the most significant market barriers to the creation of new care & assistance paradigms with global interconnection and interworking. UNCAP delivers an interoperable platform based on open industrial standards that leverages on existing technologies for biosensing, indoor/outdoor localisation and home-automation. The result is an open source, scalable and privacy-savvy ecosystem compatible with existing Personal Health Record systems, that can deliver novel services that can help aging people (incl. those with cognitive impairments) live independently and with dignity. To do so, UNCAP uses state-of-art physical/cognitive assessment tools together with technologies to locate objects, devices and users within indoor/outdoor spaces, to continuously monitor–in a non-invasive way- users and to assist them in case alert conditions are detected. In practice, UNCAP develops a product suite for formal and informal care environments made of: 1) the UNCAP BOX (an Android consumer device connected to TVs); 2) the UNCAP App for both users and caregivers; 3) the UNCAP CLOUD, delivering scalable care services; 4) the UNCAP certification suite, to help software and hardware manufacturers assess compliancy with standards. UNCAP will be assessed for 12 months in 14 pilots within real operational scenarios. Pilots will be located in rehabilitation centres, daily nursing facilities etc. and will involve 750+ users and 220 caregivers. Users’ physical & cognitive assessment will be carried on before and after the introduction of UNCAP to extract quantifiable metrics to assess its impact in terms of quality of care services and improved quality of life of users and caregivers. Lastly, UNCA will carry on a RoI analysis (both financial & social), an analysis of best practices of innovative organisational/business models as well as financing/procurement models for health & care service delivery at EU level.

Older adults typically prefer living at their homes as long as possible. However, they often need to be institutionalized due to the age related problems. Homecare can benefit today from a range of existing technologies including smartphones, sensors, etc., however, their effectiveness is limited by the sense of fear and uncomfortableness that many older adults feel. Most current technologies, in fact, are often not designed for older adults, least of all for users with memory impairments. The derivative limitations become a major barrier, severely limiting use of technological assistance in a home environment. CAPTAIN proposes a “transparent” technology designed to turn the home of the older adult into a ubiquitous assistant specifically designed to compensate for their physical and memory impairments during their daily living. To do so, it leverages on a few state of the art technologies, as follows: “Projected augmented reality” to project, through use of micro-projectors, contextualised (directly on walls, floor, tables, etc.) information and instructions on top of the real environment. Real-time 3D sensing technologies to comprehend the “indoor space” (nature and position of objects and actions of the persons) and to allow transforming it into a ubiquitous tangible interface. 3D sensing, together with speech analysis, will allow device-free comprehension of the environment and of the behaviour of the adults (including its changes). Non-invasive physiological and emotional data analysis from facial micro-expressions and human body pose thanks to scalable, robust, and accurate deep learning and artificial intelligence. The coach will leverage on a motivational engine to promote correct nutrition, physical activity, cognitive and physical training, risk avoidance, and social participation. To achieve this CAPTAIN will foster a truly user-centered co-design philosophy -based on constant involvement of older adult in the design, development, and testing stages.

Unlike most European countries, Romania does not have yet a general cadastre. Such a deficiency represents a critical element for the economy of the country, since it makes legal contracts, such as land purchasing, very difficult to be implemented. Starting from such a complex scenario, CENTRIC aims –in the long term- at the creation in Romania of the new Centre of Excellence on territorial management and cadastre. The future Centre will focus on related domains of great relevance, such as: 3D/4D geospatial data, linked geospatial data, land classification, remotely sensed data, etc. In particular, the goal of phase 1 of the project (the 12 months CSA) is to prepare a very detailed business plan leading, during phase 2, to the establishment of the Centre including: a long-term vision and the mission of the Centre, a detailed SWOT analysis of the domain of territorial management and cadastre in Romania, a long-term scientific and innovation strategy, a market analysis, the Business Concept of the Centre, the analysis of possible cooperation, strategic alliances and long-term partnerships, the operational and financial plan of the Centre, to define a strategic growth roadmap. Furthermore the project will also aim at the creation of a suitable ecosystem at the national Romanian and EU level, through a number of capacity building and dissemination activities. The whole project has been based on the creation of long-lasting (beyond the 5-years duration of the overall “Teaming” project) joint venture between partners from both advanced and low performing countries, including institutional cooperation among the Romanian Cadastre agency and the counterpart in Trentino Italy considered as a best practice at the EU level. The project is aligned with the Romanian Smart Specialisation Strategy and it has received a clear commitment from the Romanian Government to provide financial resources for infrastructural and equipment costs for phase 2.

<< Background >>Digitization is increasingly shaping the world of work. While computerisation has until recently been confined to routine tasks involving explicit rule-based activities, algorithms for digitalisation are now rapidly entering domains reliant upon smart data handling and can readily substitute for labour in a wide range of non-routine cognitive tasks. This will change the nature of work across industries and occupations. In the field of agriculture digitization, digital transformation is gaining momentum: already back in 2015, 30 percent of all value created with agricultural machinery worldwide came from software, electronics and sensors, surpassing the value created in the automotive industry three times over. According to a recent study (Saiz-Rubio, V., and Rovira-Más, F. - 2020), it is essential for farmers and for the environment that processes are adapted to a digital technology concept, because innovative processes can potentially lead to efficient and resource-friendly sustainable farming. Rapid developments in the Internet of Things (IoT), cloud computing, robotics and Artificial Intelligence are accelerating the transition to smart farming and the promotion of big data and precision agriculture to improve agri-food sustainability. The expectation is that smart farming approaches will ultimately improve knowledge on enterprise and human resource level via efficient sharing and learning from data from multiple enterprises (Robertson, M., Moore, A., Henry, D., and Barry, S. – 2018 https://blog.csiro.au/digital-agriculture-whats-all-the-fuss-about/).However, although this “fourth agricultural revolution” brings the promise of multiple gains, it also brings technical, social, economic, ethical and practical questions, with significant implications for how commercial agriculture is structured, practiced and governed. It also becomes evident that employers and employees in the agricultural sector will put more emphasis on basic and transversal competences and on creative and social skills. Therefore, the overall objective of AgriSkills is to raise awareness about these developments, and how this will require continuous skill adaptations, especially on personal competences and soft skills. Our aim is to train people working in the agricultural labour market service and in VET about successfully implemented innovations in digital farming (e.g., smart farming and precision farming) and consequently focus on initiatives and methods for training, developing and self-improvement of personal skills, and for evaluating and assessing personal development and competences.<< Objectives >>The AgriSkills project aims to strengthen the sustainable development in rural areas at regional level in Europe contributing to turn the European rural area agriculture into a learning environment for entrepreneurial skills and innovation. The overall objective of the project is to showcase and communicate innovative engagements and approaches in the agriculture-specific production and services, putting a specific focus on the training and education needs of our target groups such as•Individuals with interest to develop business entities and live in the rural areas; •SMEs and micro companies in rural areas;•Regional agencies for rural areas development; and the •General public Entrepreneurship and innovation are a key competence that contributes to the regional development. In this context, our target groups benefit from a focus on eco-innovation solutions such as sustainable innovation methods and applications as well as from the shift of labour-oriented work forces to knowledge-oriented work forces. AgriSkills will involve partners from regions with different level of development of innovation policies and entrepreneurism. Moreover, AgriSkills will promote consolidation of existing cooperation between regional authorities of participating regions or to the development and establishment of new regional partnerships. These partnerships should act as a first step for organisations into cooperation at European level to•Support the inclusion of target groups with fewer opportunities;•Increasing quality in the work and practices of the organisations and institutions involved, opening up to new actors not naturally included within the agriculture sector;•Building capacity of organisations to work transnationally and even across sectors;•Addressing common needs and priorities in the fields of education, training, youth and sport.Thus, enabling transformation and change, leading to improvements at individual, organizational or sectoral level.<< Implementation >>In order to reach AgriSkills objectives, the project consortium will implement:AgriSkills Modular Training Course (IO1):The learning and training program is developed in a digitally supported scheme containing 5 interactive learning modules, which guide the learners through the whole process in an easy–to-understand-and-to manage way. Based on initial research about the needs of the project’s target groups, initial topics of the modules are defined. As an entrance to the topics’ definition within the training course, a research will be conducted to understand and verify the exact needs A testing phase will complement the development process. As a result, IO1 will be comprehensive, wide-ranged learning program based on the real needs of the learners. AgriSkills e-Learning Platform (IO2):It will be organized as an online and offline training enabler. It will be used as a virtual learning environment where our target groups as users will be able to find the training materials and to participate in learning activities. The learners can use assessment tools and communicate with trainers or other learners. Furthermore, the online platform will provide link(s) to the project’s website that will provide all background information related to the project progress, the project results, the partners and the funding agency. As a result, the e-platform will provide easy open access for all potential learners and will add value to the training course as networking and collaboration between the learners. AgriSkills Reference Catalogue (IO3):The result will be a well elaborated and published catalogue with collected good practices references for all stakeholders acting in the farming area. It will assist applying the required skills and competences for digital transformation of their activities. It will showcase development of innovative value-chains and connectivity with the other regions on national and international level, giving an overview about the current situation of the specific project environment in the partners’ countries. The references will be contributed by the project partners but also by VET providers and innovation support advisors. As a result, the Catalogue as well as its individual good practices will be widely disseminated and additionally will promote the training course of IO1 and the e-learning platform of IO2.(For a detailed description, please refer to the Output section)<< Results >>Further outcomes of the project include: a)The project website linking to the e-learning platform, searchable after various parameters, that describe and give access to innovative initiatives, tools and methods and other materials that have been identified and collected in the course of the project, concerning the development and self- improvement of personal skills and competences and their evaluation and assessment. b)Newsletters will inform interested parties and all stakeholders about the project, its milestones, and current activities. They will be published in electronic versions, as well as in paper form that will be used for the various dissemination activities. The newsletters will be produced in the languages of the partnership. c)Flyers. The project will produce flyers in each language of the partnership. They will be distributed at meetings with stakeholders and VET organisations and will mainly serve as entry point to obtain further information within the project’s blog.d)An online Interactive AgriSkills Forum will be implemented in a Social Media channel, for exchange of experience and good practice that will promote networking and exchange activities not only among the partnership and VET organisations in their countries, but also on a European level. With new translation services, it will become possible to break down language barriers between users from different countries, and to foster exchange and assist initiatives that contribute to the European society as a whole.Intangible results will be personal and professional enrichment not only for the direct stakeholders in agriculture but also for vocational VET educators and counsellors and agricultural labour market service experts, who will participate to the project events. This will lead to:•Sharing experience; •Establishing closer co-operation between rural areas in European regions;•Learning from each other in the area of horizontal and vertical integration of technologies in agriculture and their impact on human resources and work forces; •Development of opportunities for regional stakeholders (companies, research institutes, universities) within and between the regional agencies, with a special focus in fostering the business of local SME and micro-companies;•Good practice guideline for agriculture stakeholders for business development and its specifics in rural areas;•Guideline for regional authorities and regional rural development agencies in supporting VET measures in digitalising agriculture in the region that can be implemented into the regional strategies and plans;•Increased awareness of the role of agriculture in promoting social inclusion, equal opportunities and a healthy lifestyle; and•Good practices, methods techniques and processes identified in the innovation support policy.Digital Agriculture can provide its stakeholders with vast advantages over their competitors. Whether an organisation is further along in its digitisation journey or still in its nascent beginnings, there is a real need to help decision makers making the digital transformation learnable, actionable and scalable. With AgriSkills we want to cut through the clutter and provide a pragmatic roadmap to learning and training execution.