Hello, I’m Wouter Haverals, an Associate Research Scholar at Princeton University’s Center for Digital Humanities and Perkins Fellow and Lecturer at the Humanities Council. My research bridges traditional humanities scholarship with computational methods, focusing on computational literary analysis, medieval manuscript studies, and developing digital tools for textual scholarship. I’m particularly interested in exploring how humanistic perspectives can inform our understanding of concepts like literary and narrative style and “similarity” in times of large language models.

Recent highlights

  • [Oct 2025] Wouter Haverals and Meredith Martin, Everyone prefers human writers, including AI – AI models show 2.5x stronger pro-human authorship bias than humans when evaluating literary content. arXiv:2510.08831
  • [Oct 2025] Maggie Wang and Wouter Haverals, Prompt-Character Divergence: A Responsibility Compass for Human-AI Creative Collaboration – A diagnostic tool to help creators distinguish their intent from AI model influence in generative output. Accepted to NeurIPS 2025 Creative AI Track.
  • [Aug 2025] Caroline Vandyck, Wouter Haverals, and Mike Kestemont, Making Characters Count – Identifying medieval scribal hands through computational analysis of abbreviation practices and linguistic features in 14th-century manuscripts. arXiv:2509.00067
  • [May 2025] Wouter Haverals, When Humans and Machines Translate Char: Computational Insights into Feuillets d’Hypnos Across Languages – Presentation at Resistance and its Futures: Translating the (Untranslatable) Wartime Poetry of Rene Char, Princeton University, May 2025.
  • [Apr 2025] Computational Narratology in the Age of AI – Panel at the 40th Annual International Conference on Narrative, Miami, April 2025, with Claudia Carroll, Kate Elkins, Evelyn Gius, and David Bamman presenting on AI’s capabilities and limitations in understanding literary style and narrative.
  • [Dec 2024] Programme Chair and Editor, Computational Humanities Research (CHR) 2024 – Co-programme chair with Marijn Koolen and Laure Thompson and co-editor of the proceedings for the annual CHR conference, Aarhus University, Denmark.
  • [Nov 2024] James Zhang, Wouter Haverals, Mary Naydan, and Brian Kernighan, Post-OCR Correction with OpenAI’s GPT Models on Challenging English Prosody Texts – Using LLMs to improve OCR accuracy for historical document digitization. DocEng 2024