Digital Humanities Kolloquium

Digital Humanities Kolloquium
Raum 3.17 (3. OG), Werner-von-Siemens-Straße 61, 91052 Erlangen
Dienstags, 18:15 – 19:45 Uhr

Weitere Informationen: https://www.dhss.phil.fau.de/2024/11/07/dh-kolloquium-wise-2024-25/

(Die Vorträge finden auf Englisch statt.)
Di., 22. Oktober
Dominik Kremer<https://www.dhss.phil.fau.de/person/dr-dominik-kremer/>:
Development of assistance systems and analysis methods for place-based research questions in the humanities and social studies
Di., 5. November
Gavin Brookes<https://www.dhss.phil.fau.de/person/gavin-brookes-ph-d/>:
Obesity in the News: A Corpus-Based Critical Discourse Studies Perspective <https://www.dhss.phil.fau.de/2024/10/24/vortrag-ueber-fettleibigkeit-in-den-nachrichten-eine-korpusbasierte-perspektive-der-kritischen-diskursanalyse-von-gavin-brookes/>
Di., 12. November
Andreas Wagner<https://www.dhss.phil.fau.de/person/andreas-wagner/>:
Identifying narrative contexts of the term ’water’ in local guided expert interviews on climate change
Di., 19. November
Sabine Lang<https://www.dhss.phil.fau.de/person/dr-sabine-lang/>:
Provenance data as FAIR data?!
Di., 26. November
potential new talk TBD
(cancelled)
Do., 3. Dezember
Tugsbayar Batbayar:
Master’s Thesis Defense
Di., 10. Dezember
Nathan Dykes<https://www.dhss.phil.fau.de/person/nathan-dykes/>:
Studying argumentation patterns through corpus queries
Di., 17. Dezember
Tim Weyrich<https://www.dhss.phil.fau.de/person/prof-dr-tim-weyrich/>:
(TBD)
Di., 7. Januar
Blake Walker<https://www.dhss.phil.fau.de/person/blake-walker/>:
(TBD)
Di., 14. Januar
Alexa Lucke:
(TBD)
Di., 21. Januar
Jan Gemeinholzer:
Street Art geographies – Reflections on the creation of spatial identity and practices of place making from Mexican Muralism to recent Graffiti and Urban Art. Case studies Valparaíso, Mexico D.F., Nuremberg.

Mo., 27. Januar (Montag!)
Daniil Skorinkin and Luca Giovannini (Universität Potsdam)

Title: Computational modelling of literary character
Abstract: This talk explores computational approaches to the analysis and modelling of literary characters. In particular, it showcases two different lines of enquiry which examine characters at different scale, highlighting the potential of digital methods to offer new insights into character systems.
The first case study presented investigates character properties across more than 4,000 dramatic texts from the multilingual DraCor project (Fischer et al. 2019). This large-scale analysis focuses on network centrality values and other structural features, uncovering trends in character roles and functions. By examining such data across a vast corpus, the study suggests how computational tools can reveal systemic dynamics and character archetypes in dramatic texts.
The second case study is dedicated to Tolstoy's War and Peace and its narrative universe. Network analysis is employed to examine relationships among characters, while stylistic and linguistic analyses evaluate the complexity, readability, and real-world resemblance of character speech. Together, these case studies illustrate how computational modelling can bridge large-scale structural patterns and detailed stylistic nuances, enriching the understanding of literary characters across diverse textual contexts.

Di., 28. Januar
Ross Purves:
(TBD)
Di., 4. Februar
Marianna Gracheva<https://www.dhss.phil.fau.de/person/dr-marianna-gracheva/>:
Blogs: Emergence and linguistic evolution of a digital re