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Dataset on the PhD thesis "Heritage Beyond Singular Narratives: Embracing Diversity in Participatory Heritage Planning Empowered by Artificial Intelligence"

4TU.ResearchDatavia 4TU.ResearchData (via DataCite) · updated 13 February 2024

What's in it

By comparing the different stakeholders’ perspectives, discovered using an AI approach from multiple unstructured data sources, this research develops an approach to reveal alignments and conflicts between academic experts, policymakers, and users to shed light on the conflicts and alignments embedded in the multi-stakeholder setting and as a step further towards inclusive data-supported heritage planning. To provide empirical evidence of such an approach, thisresearch explores various stakeholders’ perspectives on the cultural significance conveyed to a specific case study, the city of Yazd, Iran. The focus of research is on windcatchers which are key attributes conveying outstanding universal value, as inscribed on the UNESCO World Heritage List (UNESCO, 2017). This research discusses alignments and conflicts in the attributes and values, by comparing the perspectives of policy makers, users, and academic experts. Based on the analysis, a critical reflection on the changes expected in heritage planning is discussed. This study offers a comprehensive methodology with a customized AI-supported tool to detect alignments and conflicts in participation processes applied to heritage …

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