The wind industry is developing wind turbines and airborne wind energy devices which span altitudes well above the well-studied surface layer. A full understanding of the unsteady inflow conditions which drive loads and performance at these altitudes is lacking. MERIDIONAL will provide a comprehensively validated tool chain based on an open-source platform which will draw on an integrated knowledge and data hub to allow the efficient and accurate assessment of the performance and loads experienced by onshore, offshore, and airborne wind energy systems. This tool chain can be used for component, device and plant level planning and operation. It will consist of models which can capture the unsteady time-resolved inflow structures which drive performance and loads within the wind plant, incorporating inter and intra farm turbine interactions. Inflow conditions will be analysed and modelled beyond the surface layer to capture the conditions within and above the atmospheric boundary layer. This is critical to a full understanding of the loads and performance of wind farms and airborne wind energy devices. Model validation will be underpinned by a range of high quality and unique datasets drawing on high-fidelity simulations, and kite-borne, lidar, drone and mast measurements from field test campaigns in complex terrain, offshore and airborne. The strength of the tool chain results from developing different models for different situations, using higher order approaches (e.g., meso and microscale LES) when required and lower order models (physics or data-driven) where these are sufficient to accurately predict loads and performance. The knowledge and data hub will allow users of the tool chain to draw on a wide range of existing and project-generated measurement and simulation data to allow site specific analysis to be carried out at any location. MERIDIONAL allows stakeholders to increase wind plant efficiency and reduce material costs through less conservative design.

ConcePTION partners have united around a shared vision that we have a societal obligation to radically and rapidly reduce uncertainty about the safety of medication use in pregnancy and lactation. What do we deliver? ConcePTION aims to create a paradigm shift in how we study medication safety in pregnancy. We will establish (1) a successful, sustainable open-science based EU non-proprietary ecosystem of public and private stakeholders, pregnant women and researchers to generate and disseminate timely and reliable evidence on drugs across maternal, neonatal and long term outcomes of medication exposure in pregnancy and breastfeeding (2) a catalogue with fully characterized data sources for rapid selection of suitable data sources; 3) operational, business, network, information and data governance models, (4) quality assured and tested methodological approaches, analytical tools and data platforms allowing for distributed analyses, (5) procedures and tools for collection of digital data and samples directly from pregnant women, (6) In vitro, in silico and in vivo models for prediction of drug transfer in human milk, (7) a biobank and analytical network for quantification of drug in human milk, (8) best practice documents endorsed by regulators and health authorities and (9) a web-based drug information knowledge bank. How do we deliver? (1) Experienced leaders, able to manage challenging networks and public-public or public-private partnerships. (2) Defragmentation by connecting all key stakeholders and EU networks in this area. (3) Re-use of data, tools and foreground from prior European commission funded projects. (4) Connecting to leaders of similar initiatives in the USA, Canada, Asia and other parts of the world. (5) Systematic consensus & endorsement building. (6) Quality throughout as a precondition to trust the results and information by all users.

The proposed action aims for the commercialisation of an airborne wind energy system. This innovative solution allows supplying remote communities and off-grid areas with reliable and clean electricity in a cost-competitive way. The multinational consortium is coordinated by enevate who acts as system integrator, three industry suppliers for the system components ground station, inflatable wing and kite control unit, and one research organisation that has pioneered the specific technology. The involved parties aim for delivering the first commercial unit in 2017. The first product to enter market will be branded e100, corresponding to its rated electrical power of 100 kW. The proposed action reacts to a persisting market opportunity based on a strong mix of industrial experience and innovation capacity. The go-to-market strategy initially targets the niche of microgrids, while the key objectives address economical, industrial and social challenges and shape the consortium's road map to play a significant role in the EU's energy mix of 2030.

The megatrends are clear: people living in Europe will be older, more stressed and unhealthy, living in urban areas, and threatened by climate change effects with ever increasing immigration from developing nations. Agriculture, Forestry, Urban Planning and Environmental (AFUE) HEIs need to embed increasing health and social needs into their paradigms, teaching and business models. The health and social sectors also need to avoid the silos approach and adopt holistic thinking in achieving social and health challenges. Green infrastructures, social agriculture and forestry, rural tourism and wellness are some of the emerging business and research sectors that are providing cost-effective solutions to these emerging trends that are having a considerable impact on European policies and economy. The GREEN4C alliance aims at increasing Europe’s innovation capacity among universities and businesses by promoting green and natural approaches to health and social care. It will do so by: • facilitating the exchange, flow and co-creation of knowledge among universities and business coming from two key sectors that often fail to cooperate: the social-health and environmental sectors.• promoting a new, innovative and multidisciplinary global blended training course to embed health and social challenges into Agriculture, Forestry, Urban Planning and Environmental universities. • stimulating an entrepreneurial skills and attitude among students, researchers and young entrepreneurs to provide the public and private sectors with innovative and cost-effective solutions to health and social care by using natural resources. The project will focus on the countries of Italy, Romania, The Netherlands, Ireland and Austria. Results will have a strong EU-global dimension and transferability potential, capitalizing on existing wide university-business networks, the partnership with the University of British Columbia, and the European Forestry Institute an international research and

By discovering associations, and understanding patterns and trends within healthcare, datascience has the potential to improve medical research and patient care and consequently reducing healthcare costs. The importance of datascience is acknowledged by the European Commission who expects datascience to “help design and test new healthcare products, provide faster diagnosis and better treatments” (COM 2018). While the rapid digitization of healthcare provides a fertile environment for the development of datascience, its impact on day-to-day medical research and clinical care depends on available knowledge and expertise in healthcare professionals and informative and fruitful collaborations between healthcare professionals (content specialists) and datascience specialist (mostly from the industry). However, healthcare professionals across Europe typically receive no or very little training in datascience, and academia only limitedly interact and collaborate with datascience experts in the industry. Specific challenges regarding the lack of knowledge and expertise concern ethics, legal issues and security of datascience. The DATAclinic partners have therefor formulated three objectives:1.to develop competences and skills on datascience in healthcare,2.to implement guidelines on using datascience in an ethical, legally correct and secure way, 3.to increase mutual understanding between industry and academia related to datascience.In order to achieve these objectives DATAclinic will develop course outputs on the following subjects:•Data literacy (IO2),•Data stewardship (IO3),•Collaborative Data science (IO4),•Data science in clinical practice (IO5).DATAclinic will also develop a competency profile on datascience for healthcare professionals to be used as a framework for the course development (IO1). The courses will be piloted in DATAclinic for 120 PhD students with a research ambition (future leaders in both patient care and medical research) working with datascience and their supervisors. The ultimate target group are all healthcare professionals working with datascience, leveraging healthcare datascience to improve care and research output.The Strategic Partnership will deliver five Intellectual IOs. The work for each IO is coordinated by a lead partner who will be responsible for setting up, managing, monitoring, evaluating and finalizing the activities and for producing the deliverables. In distributing and dividing the work in the project the partners have taken background, knowledge and expertise of each of the partners as starting point. UMC Utrecht as project coordinator, is responsible for the overall management of the project.Results and impact on project completion are:•A curriculum which complies to the need for a healthcare workforce which has the necessary skills regarding datascience to contribute to improving the effectiveness of medical research and patient care,•An intensified collaboration on datascience between highly valued European universities and companies,•An important increase of the knowledge and skills of PhD students regarding datascience which improves the quality of their (research) work and their position on the labour market,•An excellent starting position for the use of the outputs of the project in further education of healthcare professionals by the partners and other organisations,•An important qualitative step forward in using datascience in healthcare research and in clinical practice.The DATAclinic partners expect to attract new partners after the completion of the project due to the broad, rapidly growing interest in the subject of more efficient analysis of big data in healthcare science. Through the associated partners and other stakeholders and by using their current, wel-known training organisations and summerschools, the partners will generate interest from other countries and from other professionals in the field of healthcare science. The DATAclinic project will benefit medical research and patient care in Europe by improving knowledge and expertise of healthcare professionals to effectively collaborate and lead in an ethical, legally correct, secure way, datascience activities and projects. Industrial partners are instrumental for healthcare professionals to further understand and appreciate the relevance of academic-industry collaborations to leverage existing healthcare datascience and improve patient care.