Caution: This email was sent from someone outside of the University of Lethbridge. Do not click on links or open attachments unless you know they are safe. Suspicious emails should be forwarded to phishing(a)uleth.ca.
Dear colleagues and students,
If you would like to explore how statistical and digital tools can be applied to the study of medieval manuscripts and printed books, you may be interested in the summer school Le livre médiéval au regard des méthodes quantitatives (Paris, 16-20 June), organized by the Lamop (University Paris 1 Panthéon-Sorbonne), the École nationale des chartes, the IRHT, and DYPAC (University Paris-Saclay).
Over the course of one week, participants will learn how quantitative methods and software can be used to study a corpus of books, with a theoretical and practical approach. The summer school will be conducted in French and held exclusively on-site. Participation is free of charge. The application deadline is March 31.
For more information, please visit https://lamop.hypotheses.org/12783.
Best regards,
Octave Julien
(LAMOP/PIREH - University Paris 1 Panthéon-Sorbonne)
Caution: This email was sent from someone outside of the University of Lethbridge. Do not click on links or open attachments unless you know they are safe. Suspicious emails should be forwarded to phishing(a)uleth.ca.
Dear colleagues,
We are pleased to invite you to the Digital Classicist Wiki Editing and Tutorial, led by Gabriel Bodard (ICS) & Martina Filosa (University of Cologne), taking place online on 27 February 2025, from 2:00 PM to 3:00 PM (GMT).
The Digital Classicist Wiki (wiki.digitalclassicist.org<http://wiki.digitalclassicist.org/>) is a collaboratively edited catalogue of projects, tools, and methods in digital humanities for ancient world studies. This session will introduce the Wiki’s goals and scope, as well as the simple wiki-syntax used for editing (the same MediaWiki platform as Wikipedia). The workshop includes a tutorial, a demonstration of the interface, and hands-on editing practice with one-on-one support from experienced editors.
If you would like to contribute to maintaining and improving this valuable resource, we encourage you to join us! Advance booking is required to ensure that all participants have a Wiki account before the session begins.
Register here: https://ics.sas.ac.uk/events/digital-classicist-wiki-editing-and-tutorial
We look forward to seeing you there!
All best wishes,
Martina
--
Martina Filosa, M.A.
Wissenschaftliche Mitarbeiterin
ANR/DFG DigiByzSeal<https://ifa.phil-fak.uni-koeln.de/forschung/byzantinistik-und-neugriechisch…> - VolkswagenStiftung DiBS<https://ifa.phil-fak.uni-koeln.de/forschung/byzantinistik-und-neugriechisch…>
Universität zu Köln
Institut für Altertumskunde
Abteilung Byzantinistik und Neugriechische Philologie
Albertus-Magnus-Platz
D-50923 Köln
martina.filosa(a)uni-koeln.de<mailto:martina.filosa@uni-koeln.de>
Caution: This email was sent from someone outside of the University of Lethbridge. Do not click on links or open attachments unless you know they are safe. Suspicious emails should be forwarded to phishing(a)uleth.ca.
[Please Forward]
===
https://research.ncl.ac.uk/atnu/news/atnuvirtualspeakerseries-hannahbusch-2…
Our next speaker in the ATNU Virtual Speaker Series is Hannah Busch from the CCeH at the University of Cologne who will talk to us about "Matching Medieval Manuscripts with Machine Learning".
Join us on Wednesday 19 February 2025 at 4pm UK time. (We will send the zoom link to all registered attendees shortly before the event.)
"Matching Medieval Manuscripts with Machine Learning"
Hannah Busch (University of Cologne)
Wednesday 19 February 2025
4pm (GMT) (8am PT, 11am ET)
Abstract: Large-scale digitization projects of the past twenty years and the possibility of exploitation with the help of the International Image Interoperability Framework (IIIF) have substantially contributed to reaching a critical mass which allows the application of deep learning for the study of medieval book scripts. In the past years, not only the number of digitized medieval sources increased significantly, but also the quality of the image data. Parallel to this development, the computation of images is becoming more powerful, and—more importantly—affordable.
During my presentation I am going to talk about the possibilities of dating and localizing the origin of medieval Latin manuscripts with the help of Deep Machine Learning/Artificial Intelligence. I will be giving insights in how to approach such an undertaking of building an image similarity search based on palaeographical features of medieval Latin scripts. In particular, I’ll be focusing on the reuse of existing scholarly manuscript descriptions for the training of Artificial Neural Networks and the challenges that come with relying on those new technologies. How is the palaeographic information encoded in descriptive metadata? Can manuscript metadata be read and processed by the machine? Can it be used to teach Artificial Neural Networks which manuscript samples are similar by means of Latin palaeography? To conclude my presentation, I’d like to discuss how we can build a bridge between the output of the artificial palaeographic eye and the human readable descriptive metadata.
Bio: Hannah Busch studied German-Italian Studies (BA) and Textual Scholarship (MA) in Bonn, Florence, and Berlin. She worked as a research associate at the Trier Center for Digital Humanities, and as a PhD candidate within the project “Digital Forensics for Historical Documents” at the Huygens Instituut (KNAW) in Amsterdam and at Leiden University. In her doctoral thesis, she is working on the application of deep machine learning methods for the dating and localization of medieval Latin manuscripts. Her research interests also lie in various areas of digital medieval studies, in particular the (mass) digitization of medieval written documents and experimentation with computer-aided methods for manuscript research. Since June 2023, Hannah is a research associate at the Cologne Center for eHumanities (CCeH) within the academy project Formation of Europe.
===
If you missed our previous talks you can see recordings of them at:
https://research.ncl.ac.uk/atnu/speakers/