Main objectives:

Efficient day-to-day operational management support including administrative and financial planning, reporting, project legal aspects (IPR), and technical progress.

Deliver the scientific and technical objectives of the project within the time and budget constraints.
Ensure effective communication between partners and detect project risks promptly, bringing them to resolution.

Establish and enforce effective management and quality procedures for high-quality deliverables.

Main objectives:

Design and develop the architecture of DTC workflows and data aspects of the project fulfilling the requirements of the different DTCs and SDs in the project.

Enable the deployment and execution of workflows in HPC systems, virtual cloud environments, and federated RI composed of both types of resources.

Make the architecture of the workflows more extendable, easy to deploy and maintainable through a modular approach.

Main objectives:

Provide access to the DT-GEO HPC/cloud infrastructure including support to containerisation and execution on the EuroHPC Research Infrastructure (RI) of DTCs and SDs.

Manage the on-demand execution of DT-GEO workflows including technical user-support and direct engagement with the vertical pillars developed in WP5 to WP8.

Deployment of AI software stack and tools.

Main objectives:

Analyse the requirements of the scientific communities and the capabilities of the DT-GEO asset sources (including data lakes), finding baselines and synergies to streamline joint exploitation of those assets.

Provide to vertical WPs a flexible environment to check the quality of the generated asset repositories and integration of data quality management in EOSC through an automatic FAIR validation.

Develop a holistic approach to quality in services and software from the point of view of deployment of DTCs.

Enable the integration of software and data to streamline data exploitation through workflows orchestrated and then deployed across a distributed architecture from sensors through asset repositories to supercomputers and cloud.

Main objectives:

Develop and implement 4 DTCs for volcano-related extremes: volcanic unrest (DTC-V1), forecast of volcanic ash clouds and fallout (DTC-V2), lava flows (DTC-V3), and volcanic gases (DTC-V4).

Test the 4 DTC-V through demonstrators at 3 relevant European sites: Mt. Etna in Italy (SD1), and Grímsvötn and Fagradalsfjall in Iceland (SD2 and SD3 respectively).

Main objectives:

Develop and implement 1 DTC for data-informed Probabilistic Tsunami Forecasting (PTF) (DTC-T1)

Test the DTC-T1 through demonstrators at 4 relevant sites: Mediterranean sea coast (SD4), Eastern Sicily (SD5), Chilean cost (SD6), and Eastern Honshu coast in Japan (SD7).

Main objectives:

Provide an integrated, comprehensive, modular modelling and testing framework

Develop multi-scale workflows applicable beyond the identified test-areas enabling improved physical understanding and progress beyond state-of-the-art in the earthquake process.

Develop and implement 6 DTCs covering earthquake-related aspects over long and short time scales

Test the 6 DTC-E at 4 relevant sites: Euro-Med (SD8), Central Apennines and Alto-Tiberina (SD9), Bedretto Lab (SD10) and the Alps (SD11).

Main objectives:

Develop and implement 1 DTC for Anthropogenic Geophysical Extreme Forecasting (AGEF) with 4 workflow outcomes: forecasting of long-range responses of georeservoirs (TC-AGEF1), forecasting of late responses of georeservoirs (TC-AGEF2), modelling of the largest magnitude (TC-AGEF3), and induced seismic hazard map estimation (TC-AGEF4).

Test the DTC-A through demonstrators at 2 relevant European sites: Strasbourg geothermal site in France (SD12) and KGHM copper ore mine in Poland (SD13).

Main objectives:

To identify and perform communication and dissemination activities in order to maximise the impact of the project among scientific audiences and target end-user stakeholders.

Organise training activities and workshops in order to engage a broader scientific community in co-design activities.

To liaise and coordinate with RI, federated environments (EOSC), and other projects developing DTs in the context of the Destination Earth initiative.