Michiel van der Meer
Postdoc
- Name
- Dr. M.T. van der Meer
- Telephone
- 071 5272727
- m.t.van.der.meer@liacs.leidenuniv.nl
- ORCID iD
- 0000-0003-1877-6002

Michiel van der Meer is a postdoctoral researcher at the Leiden Institute of Advanced Computer Science (LIACS), where he focuses on Artificial Intelligence, Natural Language Processing, and Hybrid Intelligence. His research aims to develop technologies that enhance human-AI collaboration by addressing key challenges in language processing, including subjectivity, uncertainty, and diversity.
More information about Michiel van der Meer
Further information
Background
Michiel completed his PhD at LIACS, Leiden University, where his dissertation investigated underlying perspectives in debates and mass deliberations to facilitate better understanding of differing opinions. Following his doctoral work, he started as a postdoctoral researcher in multimodal fact-checking at the Idiap Research Institute in Martigny, Switzerland, before returning to LIACS.
Current Projects
His current work explores the intersection of human and artificial intelligence, with particular emphasis on Large Language Models (LLMs) that can effectively collaborate with humans while accounting for the nuanced and subjective nature of language. This research contributes to the growing field of Hybrid Intelligence, where human capabilities and AI systems complement each other to achieve better outcomes than either could alone.
Postdoc
- Science
- Leiden Inst of Advanced Computer Science
- Meer M.T. van der (26 March 2025), Opinion diversity through hybrid intelligence (Dissertatie. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University) SIKS Dissertation Series no. 2025-15. Supervisor(s) and Co-supervisor(s): Jonker C.M. & Vossen P.T.J.M., Murukannaiah P.K.
- Meer M.T. van der, Vossen P.T.J.M., Jonker C.M. & Murukannaiah P.K. (2024), An empirical analysis of diversity in argument summarization. Graham Y. & Purver M. (Eds.), Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics . 18th Conference of the European Chapter of the Association for Computational (EACL) 17 March 2024 - 22 March 2024: Association for Computational Linguistics. 2028-2045.
- Meer M.T. van der (2024), Facilitating opinion diversity through hybrid NLP approaches. Cao Y., Papadimitriou I., Ovalle A., Zampieri M., Ferraro F. & Swayamdipta S. (Eds.), Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. The 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies 16 June 2024 - 21 June 2024 no. 1: Association for Computational Linguistics. 272–284.
- Meer M.T. van der, Liscio E., Jonker C.M., Plaat A., Vossen P.T.J.M. & Murukannaiah P.K. (2024), A hybrid intelligence method for argument mining, Journal of Artificial Intelligence Research 80: 1187-1222.
- Meer M.T. van der, Falk N., Murukannaiah P.K. & Liscio E. (2024), Annotator-Centric active learning for subjective NLP tasks. Al-Onaizan Y., Bansal M. & Chen Y.N. (Eds.), Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024 Conference on Empirical Methods in Natural Language Processing 12 November 2024 - 16 November 2024: Association for Computational Linguistics. 18537–18555.
- Meer M. van der, Vossen P., Jonker C.M. & Murukannaiah P.K. (2023), Do differences in values influence disagreements in online discussions?. Bouamor H., Pino J. & Bali K. (Eds.), Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. EMNLP2023 6 December 2023 - 10 December 2023. Singapore: Association for Computational Linguistics. 15986–16008.
- Meer M.T. van der, Reuver M., Khurana U., Krause L. & Báez Santamaría S. (2022), Will it blend?: Mixing training paradigms & prompting for argument quality prediction. Lapesa G., Schneider J., Jo Y. & Saha S. (Eds.), Proceedings of the 9th workshop on argument mining. The 9th Workshop on Argument Mining 17 October 2022 - 17 October 2022: International Conference on Computational Linguistics. 95–103.
- Liscio E., Meer M.T. van der, Siebert L.C., Jonker C.M. & Murukannaiah P.K. (2022), What values should an agent align with?: An empirical comparison of general and context-specific values, Autonomous Agents and Multi-Agent Systems 36(1): 23.
- Liscio E., Meer. M.T. van der, Jonger C.M. & Murukannaiah P.K. (2021), A collaborative platform for identifying context-specific values. In: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems.: ACM. 1773--1775.
- Liscio E., Meer M.T. van der, Siebert L.C., Jonker C.M. Mouter N. & Murukannaiah P.K. (2021), Axies: identifying and evaluating context-specific values, Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems. 20th International Conference on Autonomous Agentsand Multiagent Systems 3 May 2021 - 7 May 2021. Richland, SC: International Foundation for Autonomous Agents and Multiagent Systems. 799-808.