Internal affiliates
The DHLab affiliated members are colleagues from the different KNAW HuC institutes who have committed to promote and disseminate computational methods for humanities research in their departments in collaboration with DHLab.

Antal van den Bosch
cultural ai, natural language processing, text analytics, machine learning, language variation, Dutch

Charles van den Heuvel
user interfaces, network analysis, spatial humanities, digital hermeneutics, uncertainty, ontologies

Elli Bleeker
literary text modeling, digital scholarly editing, automated collation, textual scholarship, markup, ontologies for text and semantic markup

Ernst van den Hemel
social media, polarization, combining qualitative and quantitative methodologies, religion, emotion, affect, politics, discourse, affective publics

Folgert Karsdorp
cultural evolution, folklore, complexity theory, Bayesian statistics, computational humanities research

Inger Leemans
Text Mining, Sentiment Mining, Concept Mining, Emotion Mining, 3d visualisations, ontologies, sensory mining

Joris van Zundert
Text & meaning modeling. Narrative modeling. Automatic inference. Stylometrics.

Karina van Dalen-Oskam
Literary Studies, Sociology of Art, Stylometry, Name Studies (Onomastics), Translation Studies

Marijke van Faassen
Political and Institutional History, International Relations, Migration history, Information History, Editing

Marijn Koolen
Information Retrieval, Recommender Systems, Digital History, Digital Literary Studies, Methodology, Data Science

Marnix van Berchum
digital musicology, music encoding, linked data, research data management

Martin Reynaert
Spelling and OCR post-correction, corpus building, Digital Humanities infrastructure development, diachronical Dutch lexica and word embeddings

Matthias van Rossum
(Global) Social History; Innovating Methods; Digital Sources; Slavery; Asia; VOC

Peter Boot
Literature, Literary culture, Reading, Text analysis, Digital Scholarly Editing, LIWC, and more

Peter van Kranenburg
Computational musicology folk song research modeling of musical style melody music information retrieval music and religion.

Richard Zijdeman
social inequality, structured data, Linked Data, multi-level models, replication

Rombert Stapel
spatial humanities, GIS, gazetteers, history, middle ages

Ronald Haentjens Dekker
Textual variation, witness collation, document modelling, formal languages such as markup languages, knowledge representation, markup semantics, ontologies, machine learning

Theo Meder
Folktales, databases, literature (esp. Middle Dutch), classifications, sentiment analysis, stylometrics
External affiliates

Bruno Sartini
Former staff