معرفی
Vanessa Hannesschläger is a researcher at the University of Vienna's Faculty of Computer Science within the Research Group Visualization and Data Analysis. Her work uniquely integrates computational methods with German literary scholarship, focusing on digital preservation and linguistic analysis of Austrian authors.
Her research centers on corpus linguistics applications for literary analysis, particularly examining poetic creativity through phenomena like word formation and syntactic gaps in works by Peter Handke and Elfriede Jelinek. She pioneers digital humanities approaches to map literary reception networks, as demonstrated in her rhizome theory framework for the 'Jelinek online' archive project.
Hannesschläger's publications reveal a consistent trajectory in computational literary studies, with her 2021 digital archive work extending the corpus linguistics methodology established in her 2017 Handke analysis. Both projects exemplify her interdisciplinary fusion of linguistic theory, digital tools, and Austrian literary heritage preservation.
She actively secures research funding, currently leading the 'Digital Archive Barbara Frischmuth' project (2021-2025), and maintains robust international collaboration through multilingual conference presentations. Her work bridges computer science infrastructure development with humanities scholarship.
As a core member of the Visualization and Data Analysis research group, she contributes to developing computational frameworks for humanities data while fostering cross-departmental partnerships between computer scientists and literary scholars.
