The objective of the project SWOS is to develop a monitoring and information service focussing on wetland ecosystems. Globally wetlands are the ecosystems with the highest rate of loss. This is alarming, considering their significance as biodiversity hotspots and ecosystems with a central role in the water cycle, including improving water quality and reducing water scarcity, in climate regulation and the economic benefit gained from using their services. A key limitation to their more effective conservation, sustainable management and restoration is the missing knowledge underpinning the application of European policy by Member States. Under the Biodiversity Strategy, Member States have recently committed to the mapping and assessment of ecosystem services (MAES); this provides a key instrument for an improved integration of wetlands in policy. SWOS will take full advantage of the Sentinel satellites and integrate results from the ESA Globwetland projects. Status maps and indicators, as well as near real-time observations will allow the assessment of biodiversity and the monitoring of dynamic changes in an unmatched temporal and spatial resolution. The Service Portal will allow the integration and web-based analysis of new maps and in-situ measurements and provide a unique entry point to locate, access and connect existing information and databases. It follows a GEOSS compatible data-broker approach and adopts international standards. SWOS contributes to establishing a Global Wetland Observing System, as requested by Ramsar, it will facilitate local and EU monitoring tasks and input into international reporting obligations. SWOS will position Europe in a leading role for wetland activities within the GEO ecosystem, biodiversity, water, land cover tasks. The direct involvement of users working at different scales and support of key user organizations ensures the usability and acceptance of the service, the harmonization with related activities and a long-term impact.

The ClimAIr project will expand the evidence-based understanding of climate change, air pollution, and non-communicable respiratory diseases by using Artificial Intelligence (AI) tools. It will gather data on greenhouse gases levels and disaster risks, information on serious air pollutants and respiratory diseases' prevalence. The AI-powered tools will be employed to generate better intervention methods and improve public health outcomes. Federated Learning (FL) will be used to develop AI models to protect patients' privacy. By raising public awareness and delivering the ClimAIr tool specifically designed to health workers, urban planners and policy makers - the project aims to influence policy decisions, promote healthier environments, and reduce respiratory diseases in Europe, which will be tested and validated the ClimAIr tool in specific municipalities that are part of the project. ClimAIr draws on a consortium of 21 partners from 15 European countries, including carefully selected health centres across Europe in Spain, Luxembourg, Ukraine, Italy, France, Germany, Greece, Romania and Poland focused on respiratory diseases, which will provide disease data and explore metabolic routes of the studied contaminants/diseases. ClimAIr is composed of an interdisciplinary team formed by research centres, ethical AI and modelling experts, SSH specialists, municipal governance, and a Communication & Dissemination (C&D) expert team dedicated to achieving and spread the results of the project.

RESTORE4Cs aims to assess the role of restoration action on wetlands climate change mitigation capacity and a wide range of ecosystem services using an integrative socio-ecological systems approach. Focusing on coastal wetlands across Europe, RESTORE4Cs will deliver standardised methodologies and approaches for the prioritisation of restoration promoting carbon-storage and greenhouse gasses (GHG) emissions abatement, while improving the ecological status and the provision of additional ecosystem services such as flood regulation and coastal erosion protection. Project results will support the implementation of Climate and Biodiversity policies in the context of the European Green Deal. Effectiveness data on restoration and land use management actions on climate services and other ecosystem and socio-economic services will be gathered both from six Case Pilot sites across European coastal areas, including well-preserved, altered, and restored wetlands, and from meta-analysis. Models and integrative assessment tools will be upscaled to wider geographical (European) and ecological (other wetland types, including floodplains and peatlands) contexts using remote sensing and machine learning methods to develop an integrated status assessment of European wetlands. The results will be integrated into a digital platform to serve as a Decision Support System (DSS) for stakeholders that will steer project efforts as part of a newly created Community of Practice around wetland restoration.