The ERC project The Hands that Wrote the Bible was set up to tackle two fundamental problems in the palaeography of the Dead Sea Scrolls, in the belief that solving these problems would have important implications for understanding the Dead Sea Scrolls as a collection, and also to better understand text production and collection practices in ancient Judaea. Those two problems were: the lack of a method to identify the anonymous scribes and to date manuscripts based on their writing style, as none carries an internal date.
The project used state-of-the art image processing and pattern recognition tools developed by Lambert Schomaker’s research group at Artificial Intelligence in Groningen in order to analyse high-resolution multispectral images of the Dead Sea Scrolls made by the Israel Antiquities Authority and also on digitized images of the scrolls by Brill Publishers. Maruf Dhali, PhD candidate in the project, developed these tools further to apply them to the Dead Sea Scrolls, and he also created a robust binarization tool that is necessary to successfully perform writer identification and date prediction analyses, BiNet (
https://arxiv.org/pdf/1911.07930v1(s’ouvre dans une nouvelle fenêtre)).
Combining the humanities and the sciences, we have succeeded in establishing an empirical, quantitative basis for the palaeography of the Dead Sea Scrolls, which can also be applied to other historical corpora. Our digital palaeography allows us to better determine the identity of scribes or the difference between them, without bias. Additionally, our digital palaeography allows us to date manuscripts, without it being a self-fulling prophecy or cherry picking.
The international online conference in April 2021 was important for knowledge and technology transfer and to engage and test our novel tools and results for the community of both traditional palaeographers and AI experts. See the introduction and YouTube for all presentations:
https://www.youtube.com/watch?v=u97DA-s5Vz0&t=29s(s’ouvre dans une nouvelle fenêtre) https://www.youtube.com/watch?v=Nqc77F-xGN4&t=3s(s’ouvre dans une nouvelle fenêtre).
Dr Drew Longacre, postdoc in the project, has made significant contributions to the stylistic classification of Hebrew scripts and the interpretation of the diverse Psalms manuscripts from the Judean Desert. See, in addition to his publications, already his presentation at the April 2021 conference:
https://www.youtube.com/watch?v=uFaWsB7aiag&t=9s(s’ouvre dans une nouvelle fenêtre).
Gemma Hayes, PhD candidate in the project, focused on writer identification of a Qumran scribe using AI and digital tools, with discussions on how digital tools support the work of traditional palaeographers. Through the lens of the identified scribe and the manuscripts he copied, her forthcoming dissertation explores the handwriting practices (palaeography), spelling practices (orthography and morphology), codicological features and literary content of the Qumran scrolls. From the collated data, Hayes offers assessments of the dominant models in the field used to categorise and classify texts. See already her presentation at the 2021 conference:
https://www.youtube.com/watch?v=zSxlKNi2lyY&t=1s(s’ouvre dans une nouvelle fenêtre).
The combination of AI, statistics, and post-hoc visual inspection makes for a robust, new method for writer identification, and is an advancement for the field. See our article in PLoS ONE, April 2021: doi.org/10.1371/journal.pone.0249769. This study was widely covered in the media see, e.g. BBC, Euronews, Haaretz, ABC, El País, New Scientist. Our method changes how we do palaeography by benefitting from the combination of different disciplines, combining quantitative and qualitative approaches. Also, it represents a major step forward in interdisciplinary method and communication between researchers in these fields, having already an impact on digital palaeography beyond Dead Sea Scrolls studies. Furthermore, our approach makes it possible to unlock the microlevel of individual scribes.
To tackle the problem of a lack of absolute dates for the Qumran scrolls across the time period, we performed radiocarbon testing on 30 samples, kindly provided to us by the Israel Antiquities Authority. Hans van der Plicht (University of Groningen) has conducted the C14 analyses for the project, and Kaare Rasmussen (University of Southern Denmark) and Perla Colombini and her team (University of Pisa) have performed cleaning procedures and chemical analyses to assure the cleaning treatment. The C14 data was used to train the algorithm for date predictions. The integration of these two disciplines, AI and radiocarbon dating, is an innovation of the project. For the work in progress on our date prediction model using AI and C14 datings, see the 2021 conference, YouTube, e.g.:
https://www.youtube.com/watch?v=P2QKWUZXfa8(s’ouvre dans une nouvelle fenêtre) https://www.youtube.com/watch?v=JZeyWBbWawM&t=22s
https://www.youtube.com/watch?v=Z0osmcXwggY&t=12s(s’ouvre dans une nouvelle fenêtre).