Key research themes
1. How can multimedia and perceptual models improve digital image editing for artistic and interactive applications?
This research area explores methods to digitally edit images by integrating depth information and human visual perception to enable non-photorealistic, artistic, and interactive image stylizations. It emphasizes approaches that leverage perceptually plausible depth maps and real-time rendering for user-driven creative control over image appearance.
2. What are effective computational and collaborative methodologies for producing, managing, and disseminating digital scholarly editions?
This theme investigates digital strategies for scholarly textual editing emphasizing interoperability, sustainability, community-based workflows, and enhanced accessibility through digital infrastructures. It covers encoding standards such as TEI, template-based modular edition frameworks, crowd-sourced transcription models accelerated by digital platforms, and mobile-friendly publication formats designed for wider dissemination and interactive scholarly engagement.
3. How can structured encoding and ontological models advance the precision and interoperability of digital scholarly editions, especially for complex textual phenomena?
This research area emphasizes the development and application of formal data models, ontologies, and encoding standards (notably TEI) to represent complex philological phenomena such as glosses, variant readings, multilingual alignments, and palaeographic details in digital editions. The goal is to enhance both machine processability and scholarly rigor, thus facilitating deeper philological analysis and interoperability across editions.



