Working on

• Text mining applications in text-intensive humanities: literature, history, communication, translation
• Computational modeling of language, with applications in sociolinguistics, psycholinguistics, applied and theoretical linguistics, and neurolinguistics
• Cultural AI: developing AI tools aware of cultural, linguistic, historical biases and nuances, with applications in media, government, and IT industry

Relevant other positions

• CLARIN European Research Infrastructure Consortium, member of the board of directors
• Amazon Scholar

Teaching

• Corpus Research for Dutch Language and Literature NE3V18001
• Applied Data Science (TBC)

Three relevant publications

• Kunneman, F., Lambooij, M., Wong, A., van den Bosch, A., Mollema, L. (2020). Monitoring stance towards vaccination in Twitter messages. BMC Medical Informatics and Decision Making, 20. https://doi.org/10.1186/s12911-020-1046-y

• Van Craenenbroeck, J., Van Koppen, M., and Van den Bosch, A. (2019). A quantitative-theoretical analysis of syntactic microvariation: Word order in Dutch verb clusters. Language, 95:2, pp. 333-370. https://doi.org/10.1353/lan.2019.0033

• Lopopolo, A., Frank, S., Van den Bosch, A., and Willems, R. (2017). Using stochastic language models (SLM) to map lexical, syntactic, and phonological information processing in the brain. PLOS ONE, 12:5: e0177794. https://doi.org/10.1371/journal.pone.0177794