Key research themes
1. How do contemporary methodologies integrate computational and AI tools in advancing textual criticism?
This theme explores the application of computational models and AI-driven algorithms to support and refine textual criticism, particularly focusing on the identification of textual corruptions, error detection, and emendation in classical and premodern texts. It investigates the potential and limitations of machine learning and computational models in complementing traditional philological methods.
2. What role does ideological and historical context play in shaping the transmission and interpretation of ancient texts in textual criticism?
This area examines how political, religious, and cultural agendas influence the textual production, transmission, and interpretation of ancient texts. It addresses how myths, national narratives, and reformist ideologies can shape the content and textual variants of foundational texts, and the implications for textual critics reconstructing original texts.
3. How do philological and manuscript studies reconstruct textual integrity through palaeography and analysis of manuscript variants?
Focusing on codicological and palaeographic methods, this theme investigates how scholars reconstruct original sequences and textual integrity from fragmented, misordered, or variant manuscript traditions. It encompasses analysis of scribal practices, manuscript material forms, and textual dislocations to illuminate text transmission and editorial history.