PRUDENT aspires to revolutionize agriculture and forestry by promoting sustainable practices and innovative farming technologies. The project will explore the use of “nudges”, small changes in how farmers and foresters make decisions, to encourage them to adopt more sustainable approaches. These nudges will be tested in real-life situations alongside policy changes to see their combined effect on sustainability. Innovative tools, like web or mobile apps, will be developed to help farmers and foresters regulate their actions and make lasting changes, supporting these behaviour changes. Different types of farming and forestry systems across Europe will be studied to understand their unique challenges. The insights gained from this research will create new ways of thinking about agriculture and forestry, including social innovations, business models, and policy recommendations. 

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RAWS (Re-Analysis of Water for Society) aims to develop the first high-resolution global reanalysis of terrestrial water resources, reconstructing water availability and use over the past 60 years at approximately 1 km spatial resolution and daily time steps. The project combines a global hydrological model with satellite observations, climate datasets, and artificial intelligence–enhanced data assimilation to generate a consistent picture of the evolution of water systems worldwide. RAWS will integrate information on groundwater, water quality, crop growth, and human water use, with a focus on water scarcity hotspots. The project is part of the Schmidt Sciences VIEW programme and brings together leading research institutions to advance knowledge and tools for sustainable water management.

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The RE-CONNECT project is dedicated to assisting the 196 Parties committed to the 2015 Paris Agreement, established under the U.N. Framework Convention on Climate Change, in meeting their climate change obligations.

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Data and AI are the fuel of scientific discoveries, and Research Infrastructures (RIs) are at the forefront of this process, generating massive and increasingly more complex datasets. However, the growing size, diversity, and velocity of research data and software demand large-scale infrastructures and technical expertise from those on the user side. RI-SCALE will address this challenge by delivering Data Exploitation Platforms (DEPs). These scalable environments will co-host scientific data with preconfigured AI frameworks and models on powerful compute resources and unlock full data and AI potential for scientific users, RI operators and industry. RI-SCALE will design and develop the DEP technology with four RIs: ENES, EISCAT, BBMRI and Euro-BioImaging. DEP instances will be deployed for environmental and life sciences, validating the technology through 8 scientific and 4 technical use cases. These will run on national e-infrastructures from the EGI Federation and (pre)exascale machines from EuroHPC. RI-SCALE will collaborate with Destination Earth, EUCAIM cancer images data space, Copernicus Data Space Ecosystem, EOSC and Gaia-X to ensure interoperability within the broader landscape. The project will also facilitate industry and university collaborations, provide training and consultancy events to increase the uptake of AI technologies by additional RIs and explore sustainable DEP operation models for RI communities.

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Delivering validated climate services for resilient European Sea on a decadal to multi-decadal horizon is a challenge. RIVIERADE brings together the scientific communities geared into CORDEX and the Copernicus Marine Service and capitalizes on their unique scientific experience to develop and implement a pre-operational and replicable multi-model framework and protocols to produce, downscale, assess and deliver state-of-the-art decadal predictions and multi-decadal projections of climate change and related impacts on marine ecosystems, covering the basin scale and the coastal areas, up to, and including, development and demonstration of climate services. RIVIERADE will target three European Seas (Baltic, Black, Mediterranean), to produce data and information for ocean health, sustainable blue economy, and coastal climate risks, down streaming the data flow from climate ensembles to coastal areas at different spatial resolutions and for selected areas, in a circular process based on users and stakeholders engagement, co-design and assessment of innovative climate services. 

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Rome Climate Change Adaptation: Monitoraggio e Strumenti per l’Adattamento is a technical-scientific collaboration initiative between the CMCC Foundation and Roma Capitale, aimed at co-developing research tools to support the Comune di Roma in tackling the challenge of climate change adaptation. In line with the recent Adaptation Strategy (https://www.comune.roma.it/web-resources/cms/documents/Strategia-adattamento-climatico.pdf) approved by the Comune di Roma in January 2025, these tools will transform heterogeneous meteorological and climate data into clear, accessible, and useful information for various stakeholders. The results will provide a solid and reliable foundation for planning future climate adaptation interventions by the Comune di Roma and other involved entities.

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An international collaborative project to better understand the impact of amplified warming in polar regions, through the development of a new sea ice modelling paradigm. Through SASIP, the Scale-Aware Sea Ice Project, we propose to develop a truly innovative, scale-aware continuum sea ice model for climate research; one that faithfully represents sea ice dynamics and thermodynamics and that is physically sound, data-adaptive, highly parallelized and computationally efficient. SASIP will exploit large datasets from both granular process models and remote sensing to constrain sea ice properties and optimize continuum model parameters, jointly using data assimilation and machine learning methods. Coupling this multi-scale modeling framework to an ocean mixed-layer model, we will open up a new regime for polar oceanography via an examination of currently unresolved or poorly understood ice–ocean interactions across physical scales. In this systematic merger of models, observations, and numerical techniques, SASIP will reform sea ice modeling, a crucial leap needed to improve regional and larger-scale predictions of polar climate. Through the further development of neXtSIM and the MEB rheological framework, SASIP will build a data-constrained model that is rigorously based on sea ice solid-like physics. This model will allow improved high resolution and large- scale predictions of Arctic and Antarctic sea ice, and the propagation of sea ice related climate feedbacks. Employing hybrid data assimilation and machine learning approaches as a native part of the model architecture will allow for objective combinations of model and data. Ultimately, SASIP will lead to reduced uncertainties related to the impact of

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The SCEWERO project will be developed by a consortium of 5 organizations from 4 countries: Babeș-Bolyai University (UBB), a research institution located in Romania as a widening country and acting as coordinator, three top-class leading partners, Fondazione Centro Euro-Mediterraneo Sui Cambiamenti Climatici (IT), Universiteit Antwerpen (BE), and Justus-Liebig-Universität Giessen (DE), and a private partner (SME), Indeco Soft (RO) aiming to improve the excellence capacity in research, to raise the scientific reputation, research profile and attractiveness through networking, and strengthening research management capacity and administrative skills of the UBB team.

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The Sea Ice model Calibration for improved Arctic Predictions (SICAP) project aims to develop and deliver an innovative calibration tool to be applied to sea ice models, to improve the quality of the Arctic sea ice predictions and regional/global reanalyses.

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The project, part of Italy’s National Recovery and Resilience Plan (PNRR), aims to build an advanced and integrated monitoring and forecasting system to enhance predictive capabilities regarding the effects of climate change and protect the Italian territory and water resources from natural and anthropogenic risks. The SIM (Sistema Avanzato ed Integrato di Monitoraggio e Previsione) is a long-term surveillance system designed to enable the implementation of preventive measures, such as scheduled maintenance of the territory and infrastructures, marine and coastal pollution monitoring and optimized resource and emergency management. By integrating real-time data collection and predictive modeling, the system enhances the ability to detect environmental threats in advance, mitigate pollution risks in marine, coastal and land areas and support sustainable management strategies for land and water resources. The project involves six vertical applications, including Marine and Coastal Pollution Monitoring (Vertical 3), which focuses on surveillance of marine and coastal water quality to prevent and mitigate environmental pollution. Each Vertical is split in different Case Uses (CU) or applications. CMCC is involved in CU 3.2, 3.3 and 3.5 of Vertical 3.

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SPACE IT UP is a program aiming at enhancing the space technology of Italy to be used for space exploration and exploitation for the benefit of planet Earth and the entire humankind. An extended project partnership will foster synergies between academy, industry, and research centres to have a strong impact on the Italian space sector and to pursuit the following main objectives: -Promote innovative and extend fundamental knowledge; -Fostering a sustainable future; -Ensure long-term human permanence in extraterrestrial space; -Strengthening the “Ecosystem” space in Italy.

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CMCC supports the Campania Region in designing and implementing its Regional Climate Change Adaptation Strategy, providing a solid and actionable knowledge base to address the challenges posed by climate change. Through an innovative and participatory approach, the project aims to develop tools and analyses that enable effective adaptation processes at both regional and local scales. At the heart of the initiative lies the creation of a high-resolution Regional Climate Framework, developed through climate hazard profiling co-designed to align with local priorities. This work integrates the analysis of long-term observed data series, future climate projections, and comprehensive uncertainty assessments, supporting the definition of robust, evidence-based adaptation strategies. The analyses and tools produced will be made available to the community via the Dataclime platform, fostering widespread use and raising awareness among citizens, institutions, and stakeholders. Furthermore, CMCC will actively support regional experts within the Working Group (GdL) tasked with developing the “Regional Climate Risk Analysis.” This initiative will focus on identifying and understanding potential impacts within the planning area under various climate scenarios and identified vulnerabilities. Finally, CMCC will provide technical and scientific support for communication and awareness-raising activities, promoting inclusive stakeholder engagement through protocols successfully implemented in previous and ongoing European projects (e.g., Adaptation Agora).

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SystR will propose a groundbreaking approach to feed the science-policy nexus with innovative solutions to address systemic risks (interconnection between multiple sectors and stakeholders and resulting cascading climate impacts). This approach will accelerate transformative adaptation and avoid maladaptation by breaking silos, harmonising multiple scales of governance and tailoring solutions to local needs and strengths with Smart Specialisation Strategies. Overall, while pursuing close collaboration with the Climate Adaptation Mission, SystR will demonstrate systemic resilience in three contexts most representative of Europe: coastal in Guadeloupe-France, rural in Bystrica-Slovakia and urban in Rome-Italy, which will be twinned with replication sites of similar challenges, Galicia, Strasbourg and Egaleo, respectively.

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The HuT will employ innovative disaster risk reduction solutions, accounting for the potential variations induced by climate change. This will involve integrating and leveraging best practices and successful multi-disciplinary experiences that have been recently developed within various territorial contexts by leading European research groups, institutions, and stakeholders, to deal with extreme climate events. The project’s main ambition beyond the state of the art is to promote the “best set” of trans-disciplinary risk management tools and approaches that could be adopted and used extensively across Europe, in as many situations as possible. 

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The THRAC3E project is structured around nine interlinked Tasks designed to deliver a comprehensive, regionally disaggregated carbon cycle assessment framework. The scientific approach integrates novel Earth observation (EO) dataset development, process-based and data-driven modelling, benchmarking, and low-latency carbon monitoring across three key regions: Europe, Africa, and Southeast Asia.

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TiCCA4Danu proposes a novel and comprehensive transformative innovation framework to accelerate just climate change adaptation (CCA) at the level of cities and their surrounding administrative regions. In order to address the structural barriers for CCA implementation at the city-region level, TiCCA4Danu proposes a systems-level approach, which requires effective governance changes, introduction of directionality, and a different use of policy instruments favouring discovery and experimentation processes. TiCCA4Danu directly relates to the EU Cities- and Adaptation Mission frameworks and builds on the emerging literature discussing the opportunities and limitations to governing socio-technical change for addressing grand challenges, such as climate change, through novel transformative approaches. At the core of TiCCA4Danu’s methodological approach lies the concept of place-based “Transformative Innovation Policy” (TIP), which postulates a systems-level change perspective in innovation policy. TiCCA4Danu aims at applying the theoretical TIP concept to the city-region level by linking TIP to “Local Green Deals” (LGD), an established instrument for sustainable transformation at the city level, and by complementing the LGDs with a novel approach for transformative CCA at the level of regions. With TIP facilitating wider and inclusive societal transformation, TiCCA4Danu features stronger involvement of vulnerable groups as well as stronger private sector involvement. TiCCA4Danu focussing its activities on four “Anchor Cities” and their surrounding regions in the Danube Macro Region, all constituting different bio-geographical regions, i.e. Coastal, Mountain and Continental. By establishing a direct link to the EU Strategy for the Danube Region (EUSDR) and by working with the relevant Priority Area Working Groups, TiCCA4Danu will