Objectif
The discovery of the Dead Sea Scrolls has fundamentally transformed our knowledge of Jewish and Christian origins. The scrolls provide a unique vantage point for studying the dynamic and creative engagement with authoritative scriptures that were to become the Bible. They also offer evidence for a scribal culture ‘in action’. Palaeography can provide access to this scribal culture, showing the human hand behind what came to be regarded as holy texts.
The main objective of this interdisciplinary project is to shed new light on ancient Jewish scribal culture and the making of the Bible by freshly investigating two aspects of the scrolls’ palaeography: the typological development of writing styles and writer identification. We will combine three different approaches to study these two aspects: palaeography, computational intelligence, and 14C-dating.
The combination of new 14C samples and the use of computational intelligence as quantitative methods in order to assess the development of handwriting styles and to identify individual scribes is a unique strength of this project, which will provide a new and much-needed scientific and quantitative basis for the typological estimations of traditional palaeography of the Dead Sea Scrolls. The quantitative evidence will be used to cluster manuscripts as products of scribal activity in order to profile scribal production and to determine a more precise location in time for their activity, focusing, from literary and cultural-historical perspectives, on the content and genres of the texts that scribes wrote and copied and on the scripts and languages that they used.
Through their scribal activities these anonymous scribes constructed a ‘textual community’ and negotiated identities of the movement behind the Dead Sea Scrolls. The exciting aspect of this project is the fact that it will, through the innovative and unconventional digital palaeographic analysis that we will be using, bring these scribal identities back to life.
Champ scientifique
CORDIS classe les projets avec EuroSciVoc, une taxonomie multilingue des domaines scientifiques, grâce à un processus semi-automatique basé sur des techniques TLN.
CORDIS classe les projets avec EuroSciVoc, une taxonomie multilingue des domaines scientifiques, grâce à un processus semi-automatique basé sur des techniques TLN.
- humanitieshistory and archaeologyhistoryancient history
- natural sciencescomputer and information sciencesartificial intelligencepattern recognition
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- humanitieslanguages and literatureliterature studieshistory of literature
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Programme(s)
Thème(s)
Régime de financement
ERC-STG - Starting GrantInstitution d’accueil
9712CP Groningen
Pays-Bas