## 4 Discussion
The application of cutting-edge technology, artificial intelligence algorithms, blockchain technologies [98], and IoT [99; 100] has already been extensively used to document, monitor, and preserve CH [101; 102], including 3D scanning, modeling, and visualization [103; 104; 105; 106], and more sophisticated applications to enhance safety measures of site visits include indoor air quality monitoring, pathogen detection, visitor flow management [107], etc. This growing cross-sectoral body of research aims to inform CH authorities, civil protection institutions, urban planners, and policymakers on the increased data availability and algorithms concerning climate-related hazards and allow them to proceed toward participatory and data-driven decisions on mitigation actions. All the above results, examples, and conclusions verify that Sea Level Rise is a major climate-change-related hazard to the heritage assets of the Mediterranean EU-27 countries. In many cases, however, Sea Level Rise can already be noticed in more plain coastal regions, thus affecting existing land uses and potentially heritage assets. Future projections of SLR trends are extremely data-sensitive, in terms of resolution and accuracy, but also contain an inherent uncertainty regarding major geological events, and the actual evaluation and quantification of RCP scenario hypotheses. As a result, constant monitoring and new regional time-series datasets using Differential Synthetic Aperture Radar Interferometry (DInSAR) should be produced to calculate more accurate mean and median values at different quantiles in order to not underestimate the existing danger of SLR but also not massively overestimate it. The TRIQUETRA project will proceed with the validation of the open access data (e.g., D.E.M/D.S.M, coastline, vertical ground motion data) used in the proposed methodology with finer-scale local and historic datasets in three case study areas (Aegina and Epidaurus in Greece, and Ventotene in Italy) to demonstrate its robustness or highlight any potential weaknesses. The validation process will allow for an assessment of data quality and accuracy and could further enhance the proposed methodology with the introduction of new spatial analysis and interpolation algorithms. Conceptualization, C.G. and P.P. ; methodology, C.G. and S.C.; validation, C.G. and P.P. ; formal analysis, S.C. and T.R. investigation, C.G. ; resources, C.G. and T.R. ; writing--original draft preparation, S.C.; writing--review and editing, P.P. and C.G. ; visualization, S.C. and T.R. All authors have read and agreed to the published version of the manuscript. This work is based on procedures and tasks implemented within the project \"Toolbox for assessing and mitigating Climate Change risks and natural hazards threatening cultural heritage--TRIQUETRA\", which is a project funded by the EU HE research and innovation program under GA No. 101094818. Data Availability StatementData will be made available through the project's official website [[https://triquetra-project.eu/](https://triquetra-project.eu/)]([https://triquetra-project.eu/](https://triquetra-project.eu/)) (accessed on 10 August 2024) according to the deliverable timetable. We acknowledge all partners of the TRIQUETRA EU research project for their valuable contribution to the ongoing research. The authors declare no conflicts of interest.