Designing and developing ICH Atlas: A Trend Identification Platform for Digital Valorization of Intangible Cultural Heritage

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dc.contributor.authorLodovico, Chiara Dien_US
dc.contributor.authorBertolino, Ariannaen_US
dc.contributor.authorSpallazzo, Davideen_US
dc.contributor.authorBollati, Ilariaen_US
dc.contributor.authorCappellini, Gretaen_US
dc.contributor.editorCampana, Stefanoen_US
dc.contributor.editorFerdani, Danieleen_US
dc.contributor.editorGraf, Holgeren_US
dc.contributor.editorGuidi, Gabrieleen_US
dc.contributor.editorHegarty, Zackaryen_US
dc.contributor.editorPescarin, Sofiaen_US
dc.contributor.editorRemondino, Fabioen_US
dc.date.accessioned2025-09-05T19:54:47Z
dc.date.available2025-09-05T19:54:47Z
dc.date.issued2025
dc.description.abstractSocial media-based trend identification platforms powered by Artificial Intelligence (AI) are gaining considerable attention from scholars and industry professionals alike. These platforms analyze large amounts of user-generated data, identify the emergence and evolution of practices, and support data-driven decision-making. Although automatic trend analysis is growing, limited attention has focused on developing platforms that target digital transformation practices in Intangible Cultural Heritage (ICH). This paper introduces the development process behind ICH Atlas, a digital platform that displays and enables dynamic navigation of emerging trends connected to ICH-related professional roles, skills, and digital technologies and their expected growth based on global trends. The platform was the result of nine-month remote collaboration between a university-based design research group with expertise in cultural heritage and a trend forecasting company specializing in artificial intelligence (AI) and big data analytics. Based on a qualitative analysis of meeting records, email correspondence, datasets, and platform prototypes, the paper outlines the platform's iterations. We trace the decision-making process development, encountered challenges, and coping strategies. Based on our reflections, we identify three tensions that might be of interest for industry-academia initiatives in the intangible cultural heritage sector: scaffolding vs ambiguity, interpretation vs granularity of data, tacit vs explicit knowledge.en_US
dc.description.sectionheadersStandards and Community-Driven Tools
dc.description.seriesinformationDigital Heritage
dc.identifier.doi10.2312/dh.20253189
dc.identifier.isbn978-3-03868-277-6
dc.identifier.pages10 pages
dc.identifier.urihttps://doi.org/10.2312/dh.20253189
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/dh20253189
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Information extraction; Human-centered computing → Collaborative and social computing systems and tools
dc.subjectComputing methodologies → Information extraction
dc.subjectHuman centered computing → Collaborative and social computing systems and tools
dc.titleDesigning and developing ICH Atlas: A Trend Identification Platform for Digital Valorization of Intangible Cultural Heritageen_US
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