Project description
Innovative tools for detecting art forgeries
While scientific methods for analysing cultural heritage have advanced rapidly, research in forgery detection must become more cohesive to address scholarly confusion and information overload. Connoisseurship plays a crucial role in art history. The ERC-funded ARTDETECT project is laying the groundwork for a new form of connoisseurship by combining the latest advances in art history, technical analyses and data science. This project will enable experts to look towards the future. The project aims to develop 'thin-slicing' tools to quickly identify potential forgeries for further analysis and to revolutionise connoisseurship through a new approach to assessing and interpreting paintings.
Objective
Although scientific methods to analyze cultural heritage are being developed rapidly, research in the field of forgery detection (art created with the intent to deceive) is too fragmentary and discipline-bound to face the current scholarly confusion and information overload. This project lays the intellectual foundation for a new type of connoisseurship, building on the latest developments in (technical) art history and data science. Art historians are used to focus on the past and the present. This project will allow art experts –for the first time– to face forward and predict high risks. The goal is to first generate fundamental new insights into significant anomalies that betray forged paintings (as well as into key characteristics of comparable originals); secondly, to develop ‘thin-slicing’ tools, i.e. computer programs and checklists that help to quickly and effectively select potential forgeries for in-depth analysis; and ultimately, to give connoisseurship a new reach and relevance through the novel, integrated approach to assess, categorize and interpret paintings.
Despite the great importance of connoisseurship for art history (providing the basic classification of who created what and when, information essential for virtually all interpretative studies in this field), its methodology has not kept abreast with innovative multi-disciplinary approaches to collaboration among experts in different fields of inquiry. The 21st century has witnessed major breakthroughs in thinking about authenticity within art history; the scientific methods and technical means to examine artworks have improved tremendously; and data science and data visualization techniques allow us to think on an unprecedented scale. Building on classified research for the French Ministry of Justice, two recent Dutch Research Council (NWO) projects and extensive experience, I am in a unique position to forge effective multi-disciplinary collaborations and spearhead this project.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC - HORIZON ERC Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2022-COG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
9000 GENT
Belgium
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.