D8.9 GIS Based Early Warning and Digital Twin Platform deployment report

This document is a deliverable of the SCORE project, funded under the European Union’s Horizon 2020 research andinnovation programme under grant agreement No 101003534. The core of the activities carried out in the work package (WP) 8 consist in the design, development, deployment, and assessment of a digital twin-early warning support (DT-EWS) system. The process related to its implementation followed two concurrent paths that have been articulated in tasks T8.2 “Development of the Early Warning Support and Digital Twin Platform” and T8.3 “Development of tools to access and visualise SCORE data and outcomes”. The outputs of the activities of these tasks are reported in the already released deliverables D8.4 [1], D8.5 [2], D8.6 [3], and D8.7 [4]. In task T8.4 “Integration and Deployment of GIS based Early Warning and Digital Twin Platform”, the activities are focused on the integration of the system back-end and front-end, as detailed in D8.8 [5], and in the system deployment, i.e., the integration of the DT-EWS in the WP8 front-runner cities reality. The aim of this document is to describe the approach adopted in Task T8.4 “Integration and Deployment of GIS based Early Warning and Digital Twin Platform” and on the related activities that have been carried out focusing on the deployment of the DT-EWS system. To achieve this, efforts were made to prepare for the ingestion of a heterogeneous dataset from the relevant CCLLs, including various types of maps and real-time data streams such as sensor observations and weather forecasts. Most important, like the design and implementation process, the deployment involved the users and the stakeholders at different stages, to ensure the DT-EWS meets the users’ requirements. Beyond presentation meetings in which the system has been introduced to the users with tutorial sessions, communication with users and stakeholders has been fundamental to carry out the work, always keeping an eye on user feedback for the fine-tuning of system features.