PCP-WISE aims to customize/pre-operationalize water management innovations from space for European climate resilience via pre-commercial procurement (PCP). The project, spanning phases from solution design to field validation, targets TRL 8. It addresses water-related crises (floods, fires, infrastructure impacts) using space and Earth Observation data. Objectives include common operational information products, interoperability mechanisms, and an active user network. With climate change impacting water availability and distribution, PCP-WISE seeks to enhance EO-based information for better regional water management, promoting resilience across EU borders. It focuses on local dynamics in water availability and aims to anticipate extreme climate conditions through an integrated water intelligence system. The project's significance lies in its potential to mitigate water-related crises, driven by a unified water taxonomy and Earth observation-based modeling. Through comprehensive research and development solutions, PCP-WISE aims to boost adaptation across the EU, targeting stakeholders in water management, environment, first responders, cities, and agriculture. The project's objectives are designed to adress business, technical, economic, and policy goals. Key results include capacity-building efforts, climate-related inputs, stakeholder engagement, and the dissemination of innovative solutions to advance water resilience both locally and globally.

The project aims at improving preparedness of societies to cope with complex crisis situations by means of providing integrated tools to support efficient response planning and the building of realistic multidisciplinary scenarios. The project will design and develop a system for improving response planning strategies and scenario building (TRL 7 or 8) and facilitating organizational coordination among many actors, integrating a wide range of support tools to be used operationally by a large variety of stakeholders (firefighting units, medical emergency services, police departments, civil protection units, command and control centres). The devised system shall integrate existing and newly developed tools to enhance the cooperation between autonomous systems (satellite-, sea-, land- and air-based) from different agencies as well as to consolidate the methodology for cross-border scenario-building. The project shall investigate the currently existing tools and methodologies with the involvement of local authorities and end users and provide mechanisms to enhance cooperation among all involved actors. The main domains to be taken into account are: • The EU Civil Protection Mechanism (natural and man-made disasters, including events affecting critical infrastructure) • IPCC recommendations in relation to extreme climatic events • The Sendai Framework The project shall develop on the basis of realistic scenarios in specific geographical areas with the close involvement of local authorities. Since the expected TRL is 7 or 8, the prototype shall be demonstrated by the end of the project in a realistic environment. Although the project will develop a flexible system which should be adaptable to integrate multiple hazard-specific tools, the main scenarios considered for the time being are: forest fire, flood, flash floods and landslides.

Extreme wildfire events (EWE) are becoming a major environmental, economic and social threat in Southern Europe and increasingly gaining importance elsewhere in Europe. As the limits of fire suppression-centered strategies become evident, practitioners, researchers and policymakers increasingly recognise the need to develop novel approaches that shift emphasis to the root causes and impacts of EWE, moving towards preventive landscape and community management for greater resilience. FIRE-RES integrates existing research, technology, civil protection, policy and governance spheres related to wildfires to innovate processes, methods and tools to effectively promote the implementation of a more holistic fire management approach and support the transition towards more resilient landscapes and communities to EWE. To achieve this, FIRE-RES will, first, generate new knowledge on sustainable integrated fire management models that help to define what type of possible future scenarios (including climate change and general policies) should be promoted across EU territories. Second, it will identify and demonstrate innovations at the technological, social, health/safety, administrative, ecological and economic levels to define how and across which possible paths the future scenarios may be achieved in the EU. These innovations will be implemented in different regional contexts, and upscaled at the national and EU levels using an open innovation hub, promoting capacity building and partnership brokerage between public and private actors. Third, it will raise societal awareness and engagement on wildfire risk prevention, preparedness and response by leveraging existing national and cross-border networks at supranational levels. FIRE-RES is a transdisciplinary, multi-actor consortium, formed by researchers, wildfire agencies, technological companies, industry and civil society from 13 countries, linking to broader networks in science and disaster reduction management.

GO-Forward aims to develop a novel methodological approach to make more accurate pre-drilling predictions of geothermal reservoir properties and thus reduce the mining risk. Key to the GO-Forward approach is to simulate geological processes for pre-drill assessment of reservoir structure and properties, calibrated to geological or geophysical data, rather than extrapolating the properties from those data with geostatistical methods. To this end, GO-Forward focuses on extending and further developing, testing and demonstrating the added value of forward modelling methods originally developed for hydrocarbon exploration, including stratigraphic forward modelling (SFM), diagenesis forward modelling (DFM) and fracture network forward modelling (FFM), to be used for exploration in different geothermal settings of high relevance for Europe. First, the developed approaches will be tested and calibrated in areas with abundant subsurface information and production data, to prove conceptually the applicability of the methods and reproducibility of the results, to optimise and de-risk geothermal exploration. Calibrated model approaches are subsequently applied in areas with limited data availability to demonstrate their capability to increase pre-drill Probability of Success (POS). To support the workflow and further reduce exploration costs, GO-Forward advances ML-based and computational methods to enhance (existing) (sub)surface information for calibration, uncertainty quantification and data assimilation, and (upscaling) routines for flow simulation, DNSH, and techno-economic performance assessment for POS and Value of Information (VOI). In addition, GO-Forward addresses public awareness of geothermal developments already at the early stages of exploration. By including novel approaches to citizen engagement and stakeholder dialogue, we aim to increase the societal readiness level of geothermal exploration as the first step of geothermal developments.

Geospatial data are nowadays collected with various sensors (hyperspectral cameras, LiDAR, etc.) and platforms (airplanes, drones, ground robots) and processed with advanced methods (e.g. photogrammetry, artificial intelligence - AI, etc.) in order to deliver analyses- and decision-ready thematic products. These products can be used, among others, for environmental monitoring, sustainable use of space, spatial analyses, simulation and predictions. The I-DEAL project aims to foster new skills and strengthen human resources performing a series of secondments to develop new, unconventional approaches for geospatial data acquisition, processing, verification and usage to support the European Green Deal actions. New methods based on AI, robotics, oblique aerial cameras, LiDAR and hyperspectral sensors, and combining ground, airborne and satellite data for the monitoring of various ecosystems (atmosphere, biosphere, hydrosphere and built environment) will be investigated, tested and applied in various scenarios. Investigations will tackle different Green Deal ambitions, sharing and exchanging complementary expertise to boost geospatial technologies and improve Earth monitoring and climate change mitigation. Scientific events and transversal training activities will also be organized and offered to support career developments. The integration of I-DEAL intersectoral aspects will allow researchers to see, understand and exploit private company approaches or mapping agency methodologies; at the same time, non-academic people and service providers will exchange with and benefit from R&D activities and in-house products. The I-DEAL consortium consists of 14 partners from 11 countries, with practitioners and commercial representatives, as well as scientists with diverse educational backgrounds, such as technical, engineering, natural and socio-economic. The project will run for 48 months with a total number of 186 months of secondments.