Portraitfoto von Charlotte Panušková

Research Training Group 2806/1 – Literature and the public sphere in differentiated contemporary cultures

Address

Universitätsstraße 4091054 Erlangen

Research Interests

  • digital social reading, Computational Reception Studies
  • human-computer interaction, Platform Studies
  • literature and new media
  • contemporary Czech literature

Research Projects

Dissertation: “Literary Engagement in the Digital Era: Understanding Reading Patterns and Communities on Databazeknih.cz”

Vita

  • Since 2025 :  doctoral student in the Research Training Group “Literature and Public Spheres in Different Contemporary Cultures”
  • 2023 – 2025: data analyst in Global and Digital Literary Studies Lab, Czech Literary Bibliography, Institute of Czech Literature, CAS
  • 2022: intership in Czech Literary Bibliography, Institute of Czech Literature, CAS. ‘Czech Literature in Translation-Database in MARC21’
  • 2021 – 2024: Master in New Media, Charles University in Prague
  • 2019 – 2023: programmer specialist in intelligent systems for Industry Group, Czech Institute of Informatics, Robotics and Cybernetics, CTU
  • 2018 – 2021: Master in Comparative Literature, Charles University in Prague
  • 2015 – 2018: Bachelor in Computer Science, Czech Technical University in Prague

Publications

  • C. Panušková and O. Vimr, “Literary Interference from the Perspective of Topic Modelling. The Case of Czech Original and Translated Literature at the Turn of the 21st Century”, in Digital Translation History.Processing historical Data with new Methodologies. In Print.
  • V. Malínek, T. Umerle, E. Gray, I. Heibi, P. Király, C. Klaes, P. Korytkowski, D. Lindemann, A. Moretti, C. Panušková, et al. “Open Bibliographical Data Workflows and the Multilinguality Challenge.” Journal ofOpen Humanities Data 10 (2024): pp. 1–14.
  • M. Macas, D. H. Nguyen, and C. Panušková. “Support Vector Machines for Control of Multimodal Processes”, in Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition. Eds. Ajith Abraham, Andries Engelbrechth et al. Berlin/London: Springer, 2021. pp. 384–393.