The process of prospection and wind energy project development today is still lengthy and risky. In three out of four prospected sites no wind power plant is ever built. The main challenge is in accurately identifying a wind power sites. Today, assessing the practical constraints and estimating the potential long-term energy yield for different configurations is largely done through a sequence of manual and lengthy processing steps. Precise estimates take time, expertise and manual effort for the different steps and a high level of quality assurance by human experts to ensure the results are sufficiently accurate to be accepted by investors and lenders, i.e. 'bankability'. WindSider addresses the need for a automated and affordable solution for generating accurate and bankable resource maps, wind power plant designs and long-term yield assessment studies. WindSider outperforms the classical semi-automated process in terms of processing time and cost, while still ensuring bankable precision. WindSider is a game changer enabling for the first time generation of validated reports of bankable quality. This allows for prospecting more projects faster with go/no-go decisions at lower risk than today, leading to more new wind farms. Wind energy is abundantly available as a domestic energy source all over the world. It requires no fuel and causes no emissions. It is the fasted growing source of power globally and an essential pillar of Europe’s Energy Union strategy. At the same time, the overall process of wind energy project development and power generation is far from optimized, carrying vast business opportunities for those improving it. Between 2018-2024, the global wind energy installations on land will on average be 50 GW per year (200GW will be prospected), requiring 20,000-30,000 new turbines and investment of 70 billion EUR per year, indicating a Total Available Market size for the WindSider of approximately 2 billion EUR.

Coastal zones comprise just 20% of the Earth’s surface, yet this transitional area between land and sea is of major environmental, economic, and social importance. However, they are also home to 45% of the entire human population. Given their exposure to anthropogenic and climate change pressures, they are currently one of the most threatened environments on Earth. ENHANCE will leverage Copernicus Marine Service to monitor marine biodiversity and coastal water preserving at-risk ecosystems. The project will adopt an One Health approach encompassing services for the impact assessment of water quality in biodiversity, public health, and the environment. More specifically, ENHANCE will engage all relevant stakeholders affecting and being affected by the degradation and evolution of coastal marine ecosystems to identify and analyze the stakeholder needs to support effective decision making for sustainable climate resilient coastal areas. Additionally, a robust data collection and fusion infrastructure will be built, for ENHANCE, to allow real-time data communication from a variety of information sources including Copernicus data, EGNSS services, citizen science, etc. The project will enable the development of new products, integrating Copernicus and Citizen Science Data services, to provide more dynamic information (both pressures and impacts) and support policy makers and businesses in sustainable coastal management. More specifically, ENHANCE will deliver 3 new products to analyse the urban, agricultural and climate extremes pressures in coastal areas, as well as their impacts following the One Health framework. ENHANCE will be validated in 2 case studies in the Mediterranean; on Barcelona's urban beach and Pagasitikos Gulf. These two areas were chosen because of the touristic and anthropogenic pressures of Barcelona’s ecosystem and the latter because of the high climate change pressures resulting from the recent floods in the region of Thessaly.

The WHO estimates that vector-borne diseases (VBD) account for more than 17% of all infectious diseases. Every year, more than 2.5 billion people are at risk of contracting dengue alone, and VBDs cause almost 1 million deaths. In the last decades several species of invasive disease carrying mosquitoes have invaded the northern hemisphere of the planet through the transport of goods, increasing international travel and climate change. In 2018 a West Nile fever outbreak transmitted by mosquitoes occurred in the EU. For this disease there are no vaccines or medications. There were 1503 cases reported in 11 countries, and 181 deaths. VBD Mobile Bio-Labs could have assisted health authorities in containing this outbreak, reducing cases and preventing deaths. Unfortunately such a system does not exist. MOBVEC will be the first VBD Mobile Bio-Lab, providing: 1- Automatic information about vector populations, obtained in real-time by smart-traps, powered by machine-learning and edge computing: insect species, sex, age, and viral infection. 2- GEOSS compliant vector risk maps of adult insects and eggs/larvae, built on field + Copernicus data; 3- GEOSS compliant disease transmission models in mosquito populations, fusing data from Copernicus, clinical and diagnostic data of reference labs, and vector risk maps; 4- GEOSS compliant citizen-science platform to reinforce the surveillance of mosquitoes using citizens as observation nodes. 5- VBD mobile bio-lab with the capacities of points 1, 2, 3 and 4 + VBD Epidemiological maps and forecast models, to be rapidly operational in the heart of outbreaks to assist first-responders. This technology will the first line of defence against disease vectors worldwide, help prevent and fight devastating disease outbreaks, and will save lives while saving millions of euros in healthcare and lost working-hours. This has never been done before, and our consortium has the interdisciplinary research capacities to make it a reality.

BUILDSPACE aims to couple terrestrial data from buildings (collected by IoT platforms, BIM solutions and other) with aerial imaging from drones equipped with thermal cameras and location annotated data from satellite services (i.e., EGNSS and Copernicus) to deliver innovative services for the building and urban stakeholders and support informed decision making towards energy-efficient buildings and climate resilient cities. The platform will allow integration of these heterogeneous data and will offer services at building scale, enabling the generation of high fidelity multi-modal digital twins and at city scale providing decision support services for energy demand prediction, urban heat and urban flood analysis. The services will enable the identification of environmental hotspots that increase pressure to local city ecosystems and raise probability for natural disasters (such as flooding) and will issue alerts and recommendations for action to local governments and regions (such as the support of policies for building renovation in specific vulnerable areas). BUILDSPACE services will be validated and assessed in four European cities with different climate profiles. The digital twin services at building level will be tested during the construction of a new building in Poland, and the city services validating the link to digital twin of buildings will be tested in 3 cities (Piraeus, Riga, Ljubljana) across EU. BUILDSPACE will create a set of replication guidelines and blueprints for the adoption of the proposed applications in building resilient cities at large.

Wind power is one of the fastest-growing, most mature and cost-competitive renewable energy technologies. But its deployment faces significant challenges due to a lack of understanding of the (distribution of) complex (positive and negative) impacts and their interplay with low local acceptance. WIMBY addresses these challenges by fostering the societal engagement of citizens and stakeholders so that wind energy gains substantially more popular support, thereby enabling its role in Europe's decarbonisation goals. To do so, WIMBY translates the results of in-depth models to assess the potential for the development of wind parks into useful and comprehensive information and tools for stakeholders, facilitating decision making towards lower impact and more participative wind energy deployment. To thoroughly assess location-dependent potential impacts, conflicts and synergies of wind power deployment on the natural and social environment, WIMBY combines high resolution spatially explicit techno-economic models under multiple regulatory frameworks, with models to assess environmental, security and health impacts on the one hand, and models to determine potential synergies in ecosystems on the other. WIMBY follows a citizens' science approach for dissemination supported through a Web-GIS interactive forum that improves upon the content and functionality of the New European Wind Atlas. On a community level, we study four geographically, climatically and socio-economically diverse pilot cases across the EU, where detailed modelling and an immersive 3D platform and a Multi-Criteria Satisfaction Analysis framework are employed in workshops with stakeholders of potential projects. Throughout the project, WIMBY deepens the knowledge of the drivers and barriers for social acceptance and develops guidelines to raise public understanding and engagement with wind power, especially promoting the uptake of new generations of large(r) wind power turbines and farms.