How does the medieval body of texts known as 'canon law' reflect social and moral ideas? With a combination of AI and an advanced dataset, can we reveal patterns in the transmission and alteration of these ideas over time? Join the SOLEMNE project as a research assistant to explore these questions and more. The medieval body of texts known as 'canon law' not only regulates strictly religious or ecclesiastical issues but also communicates social and moral ideas about the inner life of society. With an advanced dataset and novel AI techniques, it is possible to chart how such ideas are transmitted, appropriated, altered, and promoted in canonical collections. As a research assistant you will contribute to this study by expanding its data entry and training AI models.
This one-year position is part of the project 'The Social Life of Early Medieval Normative Texts' (SOLEMNE), funded through an ERC Consolidator Grant awarded to Dr Sven Meeder. A fuller description of the project can be found
here. The SOLEMNE project aims to describe and contextualise the spread of social norms as articulated through specific combinations of canons in a bottom-up approach starting from the vast corpus of manuscript witnesses of canonical collections in every shape and form (4th-12th centuries). A dynamic dataset forms an essential element of the project, combined with an innovative digital tool that allows for queries of shared content in canonical collections or manuscripts and of levels of affinity based on combinations of authoritative statements.
In close collaboration with the project's postdoctoral researcher, associated data scientists, and development team, you will (i) contribute to the design of the database to store the information regarding original medieval manuscripts preserving individual canons and entire canonical collections, and scholarly editions of these texts, (ii) play a key role in training handwritten text recognition (HTR) models using eScriptorium software as well as AI-driven models for correction and normalisation of the transcription, (iii) populate the database with the data gathered from the original documents and printed reference works, (iv) contribute to the wider communication of the project's results, including materials intended for a general audience, and (v) cooperate closely with all of SOLEMNE’s subprojects.