Methodology
AISTER integrates AI with citizen engagement to protect cultural heritage in emergencies. Uses AI for case studies, training, and ethical frameworks. AI-driven community participation model enhances public awareness.
- T(h)inkering
- Co-creation workshops
- Ethical AI
- Citizen participation
Research
AI applications targeting cultural heritage have seen
significant advancements and range from non-
destructive diagnostic analysis to digitisation techniques
and predictive modelling.
Scope
In the scope of the project, we will mostly focus on the latter two, mainly aimed at preservation, digitalisation and restoration in Ukrainian CH.
Audience
HE faculty members
HE students and researchers
Policymakers of the CH and HE sectors
Young CH professionals
Citizens and local communities (in the EU & Ukraine)
Research question
How can artificial intelligence and citizen participation be leveraged to effectively safeguard and digitally preserve Ukrainian cultural heritage amid geopolitical and technological challenges?