AISTER
Published August 5, 2025 | Version v1
Poster Open

AI-driven participatory cultural heritage projects: a typology-based data analysis

Authors/Creators

  • 1. Web2Learn
  • 2. ROR icon University of the Aegean
  • 3. Biennale of Western Balkans

Contributors

Project leader:

  • 1. ROR icon University of Luxembourg
  • 2. Institute of Literature, Folklore and Art, University of Latvia
  • 3. Europeana
  • 4. ROR icon Taras Shevchenko National University of Kyiv

Description

AI-enabled citizen participation is rapidly reshaping cultural heritage preservation. This study inventories and analyses international and European-based projects, identifying several key dimensions in 4 topics: AI ethics, public participation, cultural heritage domain, and risk/emergency phase, to explore patterns, correlations, and emerging directions.

The study is part of the AISTER Erasmus+ project that addresses AI-enabled Citizen Participation in University-driven Ukrainian Cultural Heritage Safeguarding (Nr. 2024-2-LU01-KA220-HED-000290738)

Authors: Mariana Ziku and Katerina Zourou (Web2Learn), with contributions from Tugce Karatas (University of Luxembourg), Sanita Reinsone (University of Latvia), Alba Irollo (Europeana), Pavlo Shydlovskyi (Taras Shevchenko National University of Kyiv).

Files

AISTER poster-vertical.pdf

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