Horizon Europe is the European Union (EU) funding programme for the period 2021 – 2027, which targets the sectors of research and innovation. The programme’s budget is around € 95.5 billion, of which € 5.4 billion is from NextGenerationEU to stimulate recovery and strengthen the EU’s resilience in the future, and € 4.5 billion is additional aid.
This topic aims at developing and implementing a set of innovative tools and methods on the European Collaborative Cloud for Cultural Heritage (ECCCH) based on the digital twins of cultural heritage objects stored in the ECCCH, for the study, conservation and restoration of cultural heritage objects. Concrete applications of these tools and methods should be provided for at least the following uses:
Supporting the study of cultural heritage objects
For this use, projects funded under this topic should develop tools and methods which build on the digital twins of cultural heritage objects stored in the ECCCH to allow cultural heritage professionals and researchers to structure, encode, store and analyse all knowledge needed for the study of a cultural heritage object such as artworks, prints, drawings, etc. Such combined use of multiple types of digital visual and other data available on the ECCCH could revolutionise current methodologies in research, documentation and didactics related to the study of cultural heritage objects. The tools would enable visualisation and measurement, support analysis and documentation of the reasoning process (e.g. via annotations or metadata), and build on highly accurate digital representations of the object (2D, 3D, 4D) stored in the ECCCH. The tools should allow to access, interlink, enhance, enrich and archive all necessary knowledge. Search-by-similarity queries should be possible over the ECCCH, based on innovative AI solutions.
The focus is not only on documenting and archiving multiple heterogeneous documents, but also on identifying, storing and visualising connections among those assets. The digital twin of the cultural heritage object should be a spatial index for structuring and presenting all this knowledge. A cooperative approach should be enabled, with full control of who can access what.
Supporting conservation and restoration works
In the cultural heritage field, many different types of data are typically used to describe and monitor the condition of objects for conservation and restoration purposes, such as survey data, scientific imaging, reports, maps of degradation, photographic collections, historical archives, material sample analyses, etc. Many different professional disciplines are involved in data collection, processing and analysis (e.g. art history, architecture, conservation, materials science and engineering). Data collection, processing and analysis is an extremely complex task, performed both before and during restoration/conservation works.
For this use, projects funded under this topic should develop tools and methods to collect, manage and use data – with associated knowledge – for conservation and restoration purposes. These tools should build on the digital twins of cultural heritage objects stored in the ECCCH and enable users to structure, encode, store, and analyse all resources needed for conservation assessment, restoration planning, and for documentation of restoration results, within a well-defined and dynamic collaborative framework.
To cater to the needs of the wide range of professionals involved, the tools should address at least:
AI based methods have the potential to play a key role in developing improved methods for solving research questions or gaining insights about data, such as categorisation, segmentation, recognition, analysis, and understanding. The goal should be to semi-automate work-intensive activities that are common in conservation and restoration.
70%
Expected EU contribution per project: between €3.00 and €4.00 million
If projects use satellite-based earth observation, positioning, navigation and/or related timing data and services, beneficiaries must make use of Copernicus and/or Galileo/EGNOS (other data and services may additionally be used).
Beneficiaries may provide financial support to third parties to cultural heritage institutions, in take-up of tools, technologies and for populating and validating the relevant use cases through experiments. A maximum of 15% of the budget may be dedicated to financial support to third parties. The maximum amount to be granted to each third party is €60.000.
Research and Innovation Foundation
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Contact Persons:
Ms Katerina Karakasidou
Scientific Officer
Telephone: +357 22 205 036
Email: kkarakasidou@research.org.cy
Ms Constantina Makri
Scientific Officer
Telephone: +357 22 205 054
Email: cmakri@research.org.cy
Research Enquiry Service
https://research-and-innovation.ec.europa.eu/contact-us/research-enquiry-service_en