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Due to the existing global nurse shortage in Europe, a demand for healthcare and therewith nurses will continue to grow, whilst the supply of available nurses is projected to drop. Therefore, it is expected that the shortages will accelerate in the coming decade and will be more serious than the cyclical shortages of the past. This nursing shortage will ultimately constrain health system reform and innovation, and contribute to escalating costs. ICT, AI and robotization are one way to support health care professionals, enhance interprofessional cooperation and patients` safety. This introduction of ICT, robotisation and other technologies in nursing care will create a disruptive change in the provision of health and nursing care. Furthermore, research shows, that the usage of ICT is still limited within the health care professions and thus in nursing. For that external and internal factors have been identified, e.g. infrastructure not being suitable or the lack of interoperability of different computer and ICT systems, the limited awareness and understanding of ICT concepts. Health care professionals who use ICT complain about the lack of skills and tailored trainings for their needs. Usually nurses have to learn ICT related skills on the job within their working duties. As ICT is rapidly changing and developing towards robotization and AI, the resistance and skepticism towards technology among nursing professionals are expected to grow.  The NursingAI project will analyze and forecast the types of skills and competencies needed by health care professionals, especially nurses. By gaining insight of needed competencies and skill, curriculums for trainings and education programs can be enhanced to the actual needs concerning ICT competencies. NursingAI will work towards an assessment and training tool for skills related to AI, robotisation, digitalization and e-health in nursing sectors of Germany, Hungary and the Netherlands. The tool prototype will be tested and evaluated in these countries in order to make them available for local and European VET curriculums and further education programs. These efforts are critical, since 1), nurses should be able to understand and work with novel AI and Information and Communication Technologies (ICT) in order to improve the general quality of care; 2) the current offer of assessment and training methods on AI, robotisation, digitalization and e-health skills in nursing in Europe is very limited, and 3) in order to have a significant amount of AI and robotization skilled nurses in place in 5-10 years time in Europe, investments and changes in the VET curricula need to be initiated now.   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Every day 2.5 quintillion bytes of data are created by different sources while 6.16 million people in Europe worked in data-related jobs in 2016, with a perspective to see the number of workers increasing up to 10.43 million by 2020. On the other side, the overall value of the EU data economy reached almost 300 billion EUR in 2016 and according to the \"\"high grow\"\" scenario the value will reach 739 billion by 2020, with an overall impact of 4% in the EU GDP.However, there is an existing gap between total demand and supply of data workers of 420.000 in EU in 2016, with a forecast to face a data skills gap corresponding to 769.000 unfilled positions by 2020. In order to mitigate potential unbalances and to sustain changes in policy making, regulatory framework and educational approach requested by this rapid deployment of new data technologies, EU has shaped its recommendations which underline the importance of reskilling work force developing digital skills for industry and launched its Agendas to boost human capital, employability and competitiveness by modernising education and training curricula/study programs.Facing stated challenges, universities and other HEIs are often lagging behind in their role of developing and offering educational programmes and materials, providing students with skills which market demands, thus indirectly creating a consistent gap between demand and supply of qualified workers.  This is even more evident in non-technical sectors where domain-specific data skills are in high demand.  The main objective of the ADSEE project is to deliver useful educational and training programme in data science (DS) through: development of educational modules, adaption of contents and methods according to envisaged needs of the target groups, creation of interactive didactic tools and production of guidelines and recommendations on innovative education approaches in DS.  Special attention will be paid to data science in non-technical universities and its application in non-technical business, were previous knowledge in this area is not mandatory. The innovativeness of the project lies in the modular approach allowing tailor-made courses development, according to the participants' specific prior knowledge and competences (or in absence of that knowledge/competences) and in a fully functioning online piloting repository which will contribute to the development of participants' new skills and experiences by delivering material in full-scale training case (\"\"from business problem to business usage\"\") and to fill the gap between increasing demand and limited supply of business sector for practical training methods and approaches. Thanks to a modular approach used to develop educational and training material, all modules will be transferable and applicable in any study program since they will be structured in flexible end-to-end business case avoiding a pure data scientific approach. The partnership comprises 5 partners : Algebra University College Croatia; University of Amsterdam, The Netherlands; German National Library and Leibniz Information Centre for Science and Technology, Germany; Faculty of Information Studies, Slovenia; Arctur ltd, Slovenia.Whereas the project will contribute to the popularisation of Data Science among wider public, the main target groups are higher education institutions and HEIs employees, students, business/industry sector, institutions (ministries of labour, national employment agencies, employers' associations), Digital Innovation Hubs (DIH). ADSEE project addresses individuals with in-depth knowledge about data science, those who are attending technical universities or are working in DS related sectors and individuals who know DS exists, are aware of its potential but still without an expertise to make decisions based on data science. 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