IDEATION (InlanD watErs in the digitAl Twin OceaN) aims to prepare the development of the digital twin of the inland waters (rivers, lakes, reservoirs, wetlands, snow, and ice) addressing activities to be developed and to make it integrated and interoperable with the DTO for a unified digital twin of ocean and waters (addressing the hydrosphere as a whole). IDEATION will be based on a cross-border cooperation, involvement, and commitment of stakeholders at European level by following the Water-oriented Living Labs (WoLLs) approach. Stakeholders will be engaged via Multi-Stakeholder Forums (MSF), using a range of different engagement methodologies (e.g., focus groups, workshops, interviews, questionnaires) depending on goals of the engagement and specificities of the context. A comprehensive review will be performed to make an open knowledge inventory for inland water systems (OpenKIWAS). IDEATION will co-design the IDEATION reference architecture defining a set of building blocks, interfaces and standards to make data, models and technologies interoperable and integrable with the DTO. Putting together all the results from the MSF, OpenKIWAS, and the IDEATION reference architecture, a roadmap for the integration of inland waters in the Digital Twin Ocean will be created providing a preliminary breakdown of the work, with priorities of implementation, into a stepped approach. The consortium members have high experience on EU project coordination and participation, the majority of them already worked together in research projects.

Plant pests and pathogens damage agricultural production and endanger food security. Their control relies heavily on the use of synthetic insecticides, leading to a negative environmental impact. Developing new methods for pest and pathogen control is therefore essential to safeguard human health and meet the challenge of increasing crop yields, while reducing the use of chemical pesticides. The overarching objective of the NextGenBioPest project is to meet this need by delivering novel and improved products, methods, and practices for the rational control of the most difficult-to-manage arthropod pests and pathogens, with substantially reduced pesticide use. The project will provide a new toolkit for plant protection in key vegetable and fruit crops including diagnostics for pest and pathogen identification and incrimination, novel Biological Control Agents and methods to augment their performance in the field, RNA-based pesticides, Low Risk/Green chemicals, plant resistance inducers and innovative agronomic and ecological practices. These innovations will be integrated with existing approaches, to achieve effective, environment friendly and sustainable crop protection. They will be validated in large field studies, with both their efficiency and socioeconomic impact assessed. Demonstration fields, extensive training and modern targeted communication channels, will enable the appropriate dissemination and uptake of the outcomes to the stakeholders and end users. Data protection and commercialization strategies will ensure their exploitation. These goals will be achieved by integrating leading institutional and industrial partners with drivers of pest control programs. The multidisciplinary and multi-actor team will exploit their diverse expertise, access to extensive preliminary data and resources, and strong networks, to meet the project objectives and ensure the knowledge and tools generated deliver economic, ecological and societal impact.

To develop and embed new capabilities in machine algorithms, and remote sensing analysis, which will enable an integrated, automated insurance rebuild cost estimate for residential and commercial properties.

To develop and embed the knowledge and capability to utilise reliability predictions and simulation. This will transform the design process of the novel V2X electric vehicle chargers.

To develop and embed an Artificial Intelligence tool to improve matching between buyers and sellers within the online marketplace.