ABSTRACT - Overall Contribution of EM4C to the TRIQUETRA Project

The contribution of EM4C to the TRIQUETRA project addressed a central challenge in contemporary cultural heritage protection: transforming complex scientific risk assessment knowledge into practical, operational tools that support informed decision-making by professionals and heritage authorities. From the outset, EM4C adopted an application-oriented approach, extending beyond academic research to the development of structured methodologies and digital decision-support tools aligned with real-world conservation needs.

EM4C’s involvement spanned the full project lifecycle, from methodological design and knowledge structuring (WP3) to validation and evaluation (WP6), assessment of exploitation potential and future development pathways (WP7), and contribution to reporting and documentation activities (WP1). This integrated engagement ensured continuity between research, implementation, evaluation, and long-term usability of project outcomes.

Within WP3, and particularly Task 3.6, EM4C acted as task leader for the development of tools, methods, and technologies aimed at mitigating risks to cultural heritage sites. The work recognized that heritage vulnerability results from the interaction of multiple factors, including construction materials, environmental conditions, historical interventions, patterns of use, and diverse natural hazards exacerbated by climate change. Rather than addressing these factors in isolation, EM4C developed a structured framework reflecting real-world site behavior, where risks emerge through combined and cumulative effects over time.

A major challenge identified was the extreme complexity of potential risk scenarios. Initial theoretical analysis showed that more than 1.8 million combinations could arise when accounting for all variables, rendering manual assessment impractical. EM4C addressed this through a rational reduction process, grouping construction materials into four realistic tri-material combinations commonly found in heritage sites. This filtering reduced the scenario space to 15,120 valid and prioritized cases, maintaining representativeness while ensuring usability.

These scenarios were implemented digitally through two decision-support tools: the M REPORT ENGINE for monument-scale assessments and the LS REPORT ENGINE for landscape-scale risk management. Both tools generate structured technical outputs based on user-selected parameters such as materials, hazards, and risk intensity. Crucially, the proposed conservation and protection measures are grounded in an extensive manual synthesis of scientific literature, technical guidelines, and recognized good practices, ensuring technical accuracy, consistent terminology, and non-commercial neutrality.

The developed tools were evaluated within WP6 through presentations and hands-on assessments involving conservators, engineers, and cultural heritage authorities, including representatives of the Hellenic Ministry of Culture. Feedback collected through questionnaires and qualitative observations confirmed the tools’ clarity, relevance, and capacity to support structured decision-making, while also identifying directions for future refinement.

Within WP7, EM4C assessed the exploitation potential of the model and tools, demonstrating their adaptability to diverse institutional contexts and their suitability as flexible decision-support systems. The work highlighted their potential evolution into more specialized, data-integrated applications.

Overall, EM4C’s contribution effectively bridged theory and practice, delivering scientifically robust yet operationally meaningful tools that enhance the long-term impact and applicability of the TRIQUETRA approach to cultural heritage risk management.