EOSC EVERSE

• Identify the demand from researchers and living labs for interoperable indicators, reproducible workflows, and decision-support tools that connect biophysical, ecological and socio-economic dimensions.

Permanent activity

• Coordinate collaboration among Distributed Centres, Living Labs and research communities to support the development of agroecology services within LifeWatch ERIC;

End of 2027

• Improve comparability of research outputs, accelerate adoption of services, and foster co-created solutions for researchers, farmers, advisors and policy makers.

Permanent activity

• Facilitate joint initiatives, project proposals and knowledge exchange to ensure sustained service development and long-term impact.

June 2026

• Deployment of EDDAn​ data space for Agrifood sector in Andalusia; Adaptation of TITAN workflow platform and related KHAOS tools to serve as a reproducible, trustworthy analysis layer within EDDAn Data Space;

September 2026

• An AGROSERV TransNationalAccess project is currently underway by LifeWatch ERIC and AnaEE ERIC to develop a VREfA (Virtual Research Environment for Agroecology). The project, led by UPO, will support the biophysical analysis of agroecosystems that are transitioning to agroecological management practices.

Permanent activity

• Increase knowledge on ecological processes in agroecosystems, considering both relevant spatial scales and long-term changes.

End of 2027

• Promote the advancement of Landscape Agroecology, exploring new ways of functional integration of different land and livestock uses to increase territorial efficiency and generate landscape mosaics well-endowed with biodiversity and ecosystem services.

End of 2027

• Contribute to the design of agroecological food systems at local and bioregional levels to meet population food demands.

End of 2028

• Research on the contribution of agroecological management to combating climate emergencies, both in terms of mitigation (sequestration) and adaptation to adverse climatic conditions at both farm and landscape level.

• stakeholder mapping and engagement strategy;
• first open webinar.

• workshops, training activities, and industry–academia roundtables;
• co-development of application-oriented pilot studies.

• consolidation of collaborations, cross-infrastructure initiatives, and dissemination of impact- oriented outputs.

• assessment of computational needs;
• deployment of Virtual Machines and Galaxy Instances;
• integration of workflows for eDNA, DNA metabarcoding, and shotgun metagenomics.

• release and optimization of reproducible workflows;
• scaling of infrastructure;
• integration of ML/AI tools for biodiversity analyses.

• Kick-off meeting;
• collection of use cases;
• mapping of existing experimental designs and nucleic acid extraction protocols.

• Comparative evaluation of sampling strategies and sequencing approaches;
• assessment of extraction methods across environmental matrices;
• drafting of best-practice guidelines.

• Pilot validation, community feedback, and release of Version 1.0 standardised guidelines.