Information on paper preparation, presentation and publication is available in the “Instructions for Authors”.
Authors of selected works will be invited to submit an extended version of their papers to Special Issues of Ananke and Virtual Archaeology Review.
A track exploring how AI intersects with ethics, policies and the governance of digital ecosystems.
Topics include but are not limited to:
A track focused on Digital Twins as dynamic, critical tools for the lifecycle of heritage.
Topics include but are not limited to:
This track explores how digital tools, analytical models and data-driven approaches can support the understanding, prediction and mitigation of risks affecting cultural heritage, across scales and typologies.
Topics include but are not limited to:
A forward-looking track addressing what museums will become in the next decade.
Topics include but are not limited to:
A track examining the transformation of competencies and learning models in the digital heritage sector.
Topics include but are not limited to:
Sixty years after the devastating 1966 flood, the Arno river remains both a symbol of vulnerability and a laboratory for innovation in risk monitoring, documentation and landscape management. This special session invites contributions that reflect on the historical event while exploring new digital strategies for understanding river dynamics, modelling flood scenarios and preserving related cultural heritage.
A guiding question frames the session: how can digital ecosystems help transform the memory of the Arno flood into a proactive framework for awareness, preparedness and long-term resilience?
Topics
Reactive Heritage Digital Twins integrate semantic knowledge, AI, real-time data, and interoperable services to support intelligent cultural heritage monitoring, management, and conservation.
Exploring concrete international cooperation in heritage, education, digital technologies, and cultural resilience.
Rethinking What Makes a Digital Twin Work. Exploring how Digital Twins can move beyond digital models to address the technological, semantic, and human complexities of cultural heritage.