SOURCE-LINKED INTELLIGENCE

UNderstanding change in Cultural Heritage: the Next Generation of Experts

CORDIS · observation · Publication date unknown

ata science increasingly influence conservation practices, there is a growing need for researchers and professionals skilled in linking material knowledge, conservation science, advanced imaging, and artificial intelligence. UNCHANGE addresses this need by exploring how and why CH materials change, connecting the physical and chemical causes of deterioration to their visible and invisible effects. The project will develop non-invasive imaging methods, mechanistic models, and computational tools to document, analyze, and forecast changes. These innovations will help create heritage digital twins of heritage objects, enabling better conservation decisions and new ways to visualize their past, present, and future states. As a Doctoral Network, UNCHANGE will train a new generation of researchers capable of working across conservation science, materials science, imaging physics, and AI. Through close collaboration with museums, heritage institutions, and scientific partners, the project will test its methods on representative case studies and promote the digital transformation of the se

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recordType

award

status

SIGNED

region

EU

value

4746888.36

unit

EUR