Introduction

Projects will enable achieving the expected impacts of the destination by increasing access to primary raw materials, in particular critical raw materials for EU industrial value chains and strategic sectors.

Scope

– Generating better geological understanding (i.e. characterization, modelling, mapping) of known mineral deposits to identify critical minerals resources and inform discovery of new resources

– Developing new genetic models for ore deposit types that host critical minerals in order to identify areas for exploration, especially in previously overlooked regions

– Deploying innovative geological, geophysical, geochemical, and data analysis approaches including modelling techniques (e.g. data analysis, remote sensing) to elucidate the geological history and structure and models of targeted spatial areas of targeted areas and to guide more environmentally friendly exploration for critical minerals, limiting impacts on biodiversity.

Objectives

– Improve knowledge base of EU and third country critical raw materials to identify new areas for exploration and resource estimation;

– Promote the utilisation of UNFC (United Nations Framework Classification for Resources) and UNRMS (United Nations Resource Management System) reporting standards in the raw materials sector;

– Accelerate development of EU domestic raw materials exploration projects integrating innovative technologies that can form the basis for new EU SMEs;

– Strengthen EU autonomy and ethical sourcing of raw materials by developing socially and environmentally acceptable means of discovery and production of primary critical raw materials.

Projects will enable achieving the expected impacts of the destination by increasing access to primary raw materials, in particular critical raw materials for EU industrial value chains and strategic sectors.

– Generating better geological understanding (i.e. characterization, modelling, mapping) of known mineral deposits to identify critical minerals resources and inform discovery of new resources
– Developing new genetic models for ore deposit types that host critical minerals in order to identify areas for exploration, especially in previously overlooked regions
– Deploying innovative geological, geophysical, geochemical, and data analysis approaches including modelling techniques (e.g. data analysis, remote sensing) to elucidate the geological history and structure and models of targeted spatial areas of targeted areas and to guide more environmentally friendly exploration for critical minerals, limiting impacts on biodiversity.

– Improve knowledge base of EU and third country critical raw materials to identify new areas for exploration and resource estimation;
– Promote the utilisation of UNFC (United Nations Framework Classification for Resources) and UNRMS (United Nations Resource Management System) reporting standards in the raw materials sector;
– Accelerate development of EU domestic raw materials exploration projects integrating innovative technologies that can form the basis for new EU SMEs;
– Strengthen EU autonomy and ethical sourcing of raw materials by developing socially and environmentally acceptable means of discovery and production of primary critical raw materials.

Intro

In contemporary society, the capacity of communities and governments to manage expected and/or unexpected extreme climate events depends heavily on effective governance throughout the entire Disaster Risk Management cycle. This covers operational mechanisms ranging from short-term actions (e.g. early warning and forecast-based actions) to long-term adaptation strategies and resilience building, including nature-based solutions. A coherent integration between Disaster Risk Reduction, Climate Adaptation policies and Sustainable Development Goals as fostered by the European Green Deal and major UN initiatives should result in a comprehensive resilience framework, while improving synergies and coherence among the institutions and international agencies involved.

Scope

The effective implementation of global and European risk governance and policies to enable integrated disaster risk reduction for extreme climate events requires a collaborative involvement in risk assessment and information sharing across involved institutions, including the civil and private sector and the population.

Cross-regional, cross-border and cross-sector agreements covering all phases of Disaster Risk Management can improve the knowledge about extreme climate events such as forest fires, droughts, floods, heatwaves, storms and storm surges. In addition, improving effective prevention, preparedness and response rely upon specific national or local expertise and experience. It is important to overcome silos between technical and political authorities at all levels and advocate integration among involved actors. Multi-risk governance frameworks related to climate extremes, shifting from single to multi-risk thinking in governmental agencies, represents the key challenge for the future, considering how measures to improve the resilience of the built environment and communities may provide effective solutions to strengthen adaptation measures.

Creating an overview of existing knowledge, integrating tools and developing new ones for resilience and emergency management should include careful planning for interoperability amongst many actors. It is important that solutions pay attention to societal side-effects of integrating data about emergencies, for instance Apps, where persons concerned tend to share more willingly, but do not reflect consequences of that. Thus, the development of data management tools for emergencies need to respect fundamental rights, data protection and avoid function creep.

Objectives

– Improved dialogue and cooperation among scientific and technical communities, stakeholders, policy-makers and local communities.
– Enhanced community engagement for prevention, preparedness, response, recovery and learning to extreme climate events.
– Strengthening of disaster risk reduction and resilience building through innovative use of media means.
– Overview of existing knowledge, tools and development of new tools for early warning, response and resilience / adaptation.
– Based on the demonstrations, development of new governance strategies and robust decision-support methodologies for integrated risk reduction and improved adaptation to climate extreme events.
– Improved understanding of enablers and barriers to multi-risk governance frameworks and multi-risk thinking
– Cost-benefit or cost-effectiveness analyses of investment and regulatory strategies to protect people and nature in vulnerable areas.
– Identification of production/livelihood practices (goods, services, activities etc.) at community and national level

Intro

The Atlantic Meridional Overturning Circulation (AMOC) is a key component of the Earth climate. It can significantly imprint the vertical structure of global ocean heat uptake and drives a large part of the deep-ocean oxygenation and deep storage of anthropogenic carbon. The AMOC is expected to slow down with climate change with strong impact on the oceanic heat storage, carbon pump, and ventilation. Such change in the AMOC is also expected to impact the polar regions that are already experiencing warming at a faster rate than other places.There is deep uncertainty regarding the contribution the melting of the Antarctic ice sheet will make to mean global sea level rise towards the end of this century. The potential consequences vary greatly from region to region making the information needed at local and regional level highly relevant for supporting local and regional adaptation decisions.

Scope

Developing innovative approaches to address only one of the following options:
– Regional & global components of the Atlantic meridional overturning circulation
– Improving understanding and observation of Antarctic key processes and the Southern Ocean circulation

Objective

– Increased predictability and reduced uncertainty associated with key oceanic and polar processes
– Contribution to the next generation observation and modelling of key ocean-climate processes and indicators
– Contribution to the implementation of the EU Arctic Policy, the All Atlantic Research Alliance, the European Commission-European Space Agency Flagship Action on polar Changes & Global Impacts, European climate policies and a substantial contribution to key international assessments

The adoption of Big Data and AI technologies in the space industry represents a significant opportunity to innovate, following industrial requirements to better respond to well identified user needs

– Develop new and innovative products and services designed by industrial and user requirements, having Copernicus data assets and services products at their core, and scaling up to the increased data volumes of Copernicus’ archives
– Develop new, enabling, scalable, operational solutions and technologies to improve capabilities and performance of the Copernicus value chain and supporting infrastructure

– Adoption of Big Data and AI technologies for Copernicus management
– Implementation of specialized Artificial Intelligence technologies, Linked Open Data paradigms and semantic archives to scale to the full archives of Earth Observation data volumes
– Promote the collaboration of ICT actors, both from industry and academia, with the earth observation/space stakeholders and Copernicus users