Meet the Computational Humanities Group


Juniorprofessor Dr. Manuel Burghardt

Jun.-Prof. Dr. phil. Manuel Burghardt

Manuel Burghardt is head of the Computational Humanities Group. He is also responsible for the B. Sc. and M. Sc. studies Digital Humanities. Besides, Manuel is speaker of the GI division "Computer Science and Digital Humanities". Manuel teaches "Methods and Applications in DH", "Leipzig eHumanities Seminar (Research Seminar)", "Computational Literary Studies", "Drama Mining and Film Analysis" and "Citizen Science". For a detailed CV and a list of publications please visit Manuel's personal page.

E-Mail: burghardt[AT]informatik.uni-leipzig.de
Twitter: 8urghardt

Research interests:
  • Computational Approaches to Shakespearean Intertextuality
  • Optical Character Recognition
  • Computer-based Analysis of Movies and Series
  • Computational Musicology and Music Information Retrieval
  • Social Media Analytics and Game Studies


Andreas Niekler

Andreas Niekler, Dr. ing.

Andreas develops computational methods in the field of semantic properties in language and language-based AI. He develops algorithmic methods for computational / digital humanities and computational social science. He is also involved in the development of the interactive analysis platform Leipzig Corpus Miner (iLCM). His research focus is on machine learning methods and data management. Furthermore, Andreas is a passionate lecturer for Text Mining methodology in the humanities and social sciences.

E-Mail: aniekler[AT]uni-leipzig.de

Research interests:
  • Natural Language Processing and Text Data in Computational Social Science / Digital Humanities
  • Conversational AI
  • Automated Content Analysis / Topic Analysis
  • Contextual and semantic dynamics in text data / Text Mining
  • Media Informatics
  • Communication Research


Bernhard Liebl

Bernhard Liebl, Dipl.-Inf.

Bernhard is a trained computer scientist with a background in English philology. He joined the Computational Humanities Group as a research assistant in the DFG project "More than a Feeling: Media Sentiment as a Mirror of Investors’ Expectations at the Berlin Stock Exchange, 1872-1930" . Bernhard investigates state-of-the-art OCR approaches to digitize historical financial newspapers and develop text mining and sentiment analysis methods to detect economic patterns in these articles.

E-Mail: bernhard.liebl[AT]uni-leipzig.de

Research interests:
  • Text Mining and NLP
  • Machine Learning and Neural Networks
  • Sentiment Analysis
  • Computer Graphics
  • Optical Character Recognition


Monica Berti

PD Dr. habil. Monica Berti

Monica Berti joined the Computational Humanities Group as a research fellow and lecturer. Monica was Academic Assistant (AR) at the Alexander von Humboldt Chair of Digital Humanities at the University of Leipzig and she has a Habilitation in Ancient History and Digital Humanities. Monica is currently DFG Leader of the project “Text-based Extraction, Analysis, and Annotation of Ancient Greek References to Authors and Works” (https://gepris.dfg.de/gepris/projekt/434173983). Monica has a background in Classical Studies and Digital Humanities. She has been extensively publishing and leading projects in these fields as part of the Open Greek and Latin (OGL) initiative at the University of Leipzig and at the Perseus Digital Library at Tufts University. Monica teaches courses in Digital Humanities, Digital Philology, and Digital Classics. For a detailed CV and a list of publications please visit Monica's personal page.

E-Mail: monica.berti[AT]uni-leipzig.de
Twitter: Monica_Berti

Research interests:
  • Digital Classics
  • Computational Linguistics
  • Digital Philology
  • Natural Language Processing
  • Text Reuse


Silvia Gutiérrez

Silvia Gutiérrez

Silvia joined the Computational Humanities Group as a research assistant and PhD candidate in 2021. Silvia is a trained digital humanist (Würzburg University / King's College London) with a background in Linguistics and Spanish philology. In her PhD, Silvia will investigate state-of-the-art reference mining approaches to extract and enrich bibliographic entries and detect patterns in thousands of digitized dissertations.

E-Mail: silviaegt[AT]gmail.com
Twitter: espejolento

Research interests:
  • Text and Reference Mining
  • Natural Language Processing
  • Scientometrics
  • Knowledge Dissemination

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