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Space it Up!

SPACE IT UP è un programma che mira a potenziare la tecnologia spaziale italiana da utilizzare per l’esplorazione e lo sfruttamento dello spazio a beneficio del pianeta Terra e dell’intera umanità. Un partenariato di progetto esteso favorirà le sinergie tra accademia, industria e centri di ricerca per avere un forte impatto sul settore spaziale italiano e perseguire i seguenti obiettivi principali: -Promuovere l’innovazione ed estendere le conoscenze fondamentali; -Promuovere un futuro sostenibile; -Assicurare la permanenza umana a lungo termine nello spazio extraterrestre; -Rafforzare l’“Ecosistema” spaziale in Italia.


SPARCCLE – Socioeconomic Pathways, Adaptation and Resilience to Changing CLimate in Europe

The SPARCCLE is a project funded by the European Union’s Horizon Europe program, and it is focused on delivering adaptation and mitigation strategies for a just and climate-resilient Europe. The project aims to support policymaking for action on the socioeconomic risks of climate change, establishing new methodological frameworks to link knowledge across disciplines from research communities working on climate impacts and risks in Europe. Bottom-up assessments of multidimensional climate vulnerabilities, risks, damages, and adaptation will be combined with top-down integrated assessment frameworks (IAFs) and leading multi-sectoral macroeconomic models.


SRACC-CAMP-ADAPT: Supporting the Regional Climate Change Adaptation Strategy for the Campania Region

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).


Study on the macro-economic impacts of the climate transition

The study comprises three parts: The first part aims at deepening the understanding of the socio-economic impacts of the transition to climate neutral economies. In particular, the study focuses on the implications of potential frictions and challenges in the socio-economic transformation process and on the potential gains and opportunities of the transition to climate neutrality. The second part of the study should quantify the investment needs for adaptation to climate change across all EU Member States. And the third part brings together the work undertaken under the first two parts to make a preliminary assessment of the macro-economic impacts of the combined investment needs on mitigation and adaptation in a 2050 horizon.


SWITCH – Switching European food systems for a just, healthy and sustainable dietary transition through knowledge and innovation

The transition towards sustainable, safe, healthy and inclusive food systems, from farm to fork, has become a key priority for EU policies, in line with the UN goals sustainable development goals (SDGs). The biggest challenge at present is represented by the limited knowledge of influence dietary choices that limits large scale adoption of healthy and sustainable diets. The ambition of the SWITCH project is to accelerate the behavioral shift of European citizens towards more sustainable and healthy patterns, using Research and Innovation (R&I) as a driver to increase knowledge, accessibility and facilitation strategies at all level of the food systems, involving a multi-actor systemic approach and a co-creation strategy to delineate solutions fair to consumers that support virtuous behavior throughout the whole food chain. For a successful large scale adoption of healthy dietary behavior, all the actors of the food systems need to be engaged, connected and valorized.


SystR: Accelerating Systemic Climate Adaptation Across Europe through Integrated Ecosystems of Resilience Solutions

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.


The HuT – The Human-Tech Nexus. Building a Safe Haven to cope with Climate Extremes

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. 


TiCCA4Danu: Transformative Innovation for Climate Change Adaptation in the Danube Region

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


TRANSCEND – Transformational and Robust AdaptatioN to water Scarcity and ClimatE chaNge under Deep uncertainty

TRANSCEND is a project funded by HORIZON Innovation Actions whose main area of research is the identification of Transformational Adaptation Policies (TAP) to water scarcity. TAP will be implemented in 7 labs: Júcar River Basin (RB) (Spain); Reno RB (Italy); Tympaki RB (Greece); Nitra RB (Slovakia); Caplina-Mauri-Desaguadero RB (Peru, Chile & Bolivia); Orontes RB (Lebanon, Syria & Turkey); and Mahanadi RB (Indian states of Chhattisgarh & Odisha). TRANSCEND will leverage this diverse set of demonstrators to initiate adoption of the ecosystem of innovation in 8+ inspiration labs, train 160+ transformation agents, and mainstream uncertainty analysis in key national and European Green Deal strategies. This will provide the knowledge and tools to catalyze robust and systemic transformations to water scarcity and climate change globally, with a clear impact pathway towards TAP adoption in 100+ basins by 2030.


TRANSFORMAR – Accelerating and upscaling transformational adaptation in Europe: demonstration of water-related innovation packages

TransformAr aims to develop and demonstrate solutions and pathways to achieve rapid and far-reaching transformational adaptation across the EU. Cross-sectoral and multi-scale innovation packages, as the combination of solutions and pathways, will support regions and communities in their societal transformation towards climate change resilience. Transformational adaptation (TA) will be triggered by a co-innovation process that will co-create transformational adaptation pathways for six demonstrator regions and communities in Europe.


UPTAKE – Bridging current knowledge gaps to enable the UPTAKE of carbon dioxide removal methods

UPTAKE aims to facilitate the sustainable upscaling of carbon dioxide removal (CDR) methods by developing a set of robust strategies through technical, theoretical, and practical analysis accompanied by interactive dialogue within a CDR stakeholder forum. As a result, UPTAKE will develop a harmonised, comprehensive, inclusive, integrated, and transparent CDR knowledge inventory to evaluate a wide range of CDR technologies and methods, quantifying their national, European, and global costs, effectiveness, and removal potential as well as risks, constraints, and side-effects at different scales, and their prospects of technological progress. The UPTAKE approach will allow the assessment of geographical, sectoral, socioeconomic, demographic, and temporal trade-offs, co-benefits, and opportunities emerging from portfolios of different CDR methods. The enhanced socio-technical understanding of CDR methods will feed into an ensemble of state-of-the-art integrated assessment models (IAMs), which will help improve the integration of CDR methods given the EU policy objectives set for 2030, 2050, and beyond climate neutrality. UPTAKE will assess CDR governance and policy frameworks considering social acceptance, accountability, monitoring, and regulations for sustainable CDR rollout at scale. As a result, UPTAKE will generate an open and interactive CDR roadmap explorer to investigate strategies that are resilient to risks of failure and disruption, and minimise adverse impacts on society, economy, and the environment, aiming for a just, inclusive, and sustainable transition.


VALORADA – Validated Local Risk Actionable Data for Adaptation

The EU aims to transforming 150 European regions into sustainable and climate resilient regions by 2030. VALORADA contributes to addressing this challenge by co-developing tested FAIR customizable data-manipulation tools to access available climate datasets and to enable the sharing, community validation and use of locally socioeconomic, demographic and Earth-Observation data. In a rigorous transdisciplinary approach, the respective risks of climate change are analyzed in five demonstrators in Europe with the local actors. Data required for the analysis are compiled from the various already existing repositories (e.g., Climate Data Store) and locally sourced non-climate data catalogues processed by local communities and regions, prototype analysis tools developed in an iterative process, tested by the actors and subsequently improved.


WeatherGenerator

The project will build the WeatherGenerator – the world’s best generative Foundation Model of the Earth system – that will serve as a new Digital Twin for Destination Earth. The WeatherGenerator will be based on representation learning and create a general and versatile tool that models the dynamics of the Earth system based on a large variety of Earth system data. The WeatherGenerator will be task-independent and will improve results for a wide range of machine learning applications when compared to task specific machine learning tools. It will also be more resilient for climate applications when the underlying data distributions are changing, and it will lead to a significant reduction in computational costs and faster turnaround times. To achieve this, the project will: (1) Collect and use the most important datasets of Earth system science including data from Digital Twins of Destination Earth, selected observations, analysis and reanalysis datasets, and output of conventional Earth system models. (2) Build the WeatherGenerator as a novel representation learning- based machine learning tool that exploits the full potential of Europe’s largest supercomputers. (3) Engage with the wider community via services and apply the WeatherGenerator for 22 selected applications that can be integrated into the Destination Earth framework. The applications include global and local predictions, local downscaling, data assimilation, model post-processing, and impact applications in the domains of renewable energy, water, health and food. The project consortium that will build the WeatherGenerator consists of experts in machine learning, supercomputing and Earth system sciences, and includes

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