Description
Leader of the group Human-Centered Data Analytics: Laura Hollink.
Our research group develops methods and techniques to better support users in accessing information that is heterogeneous, subjective and potentially inconsistent. We focus on the information’s context, using knowledge graphs to model differences in time and other relevant perspectives.
We work together with social scientists and humanities researchers to evaluate how technology can be used to best interpret complex data, by modelling and comparing different assumptions underlying the interpretation. We advocate the notion of transparency in all critical use of technology to improve trust assessments.
Please visit our publication or demo page for recent updates.
Vacancies
No vacancies currently.
News
Davide Ceolin selected as first IAS and DSC joint fellow
Davide Ceolin, researcher in CWI's HCDA group, will start his fellowship at UvA's Institute for Advanced Study (IAS) on June 17.
Podcast: How will AI affect democracy and media?
In this podcast Laura Hollink of CWI talks to Thijs Doorenbosch of AG Connect about interesting projects in which she participates together with partners from culture and media, but also with scientists who study the legal and communication aspects.
Laura Hollink schreef mee aan het position paper ‘De kunst van AI voor iedereen’
Cultuur en media kunnen een pioniersrol spelen op het gebied van AI, stelt een nieuw rapport van de Nederlandse AI Coalitie.
Laura Hollink co-authored the position paper ‘The Art of AI for All’
Culture and media can play a pioneering role in the field of AI, a new report of the Dutch AI Coalition states.
Members
Associated Members
Publications
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Meijer, D.W.J, Luimes, R, Knobbe, A.J, & Bäck, T. (2022). Anomaly detection in urban drainage with stereovision. Automation in Construction, 139, 104285.1–104285.13. doi:10.1016/j.autcon.2022.104285
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Brate, R, Nesterov, A, Vogelmann, V, van Ossenbruggen, J.R, Hollink, L, & van Erp, M. (2021). Capturing contentiousness: Constructing the contentious terms in context corpus. In Proceedings of the International Conference on Knowledge Capture (pp. 17–24). doi:10.1145/3460210.3493553
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Bucur, C.I, Kuhn, T, Ceolin, D, & van Ossenbruggen, J.R. (2021). Expressing high-level scientific claims with formal semantics. In Proceedings of the International Conference on Knowledge Capture (pp. 233–240). doi:10.1145/3460210.3493561
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Hollink, L, Bilgin, A, & van Ossenbruggen, J.R. (2021). Predicting the basic level in a hierarchy of concepts. In Proceedings of the Metadata and Semantics Research Conference. doi:10.1007/978-3-030-71903-6_3
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Hardman, L. (2021). Cultural Influences on AI along the New Silk Road. In Werthner, H., Prem, E., Lee, E.A., & Ghezzi, C. (Eds.), DIGHUM - Perspectives on Digital Humanism. Springer Nature.
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Al- Moslmi, T, Troncy, R, Freitas, A, Ceolin, D, & Abolohom, A. (2020). SKG4J 2020: 1st International Workshop on Semantic and Knowledge Graph Advances for Journalism. In International Conference on Information and Knowledge Management, Proceedings (pp. 3525–3526). doi:10.1145/3340531.3414079
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Hardman, L. (2020). Artificial Intelligence along the New Silk Road: Competition or Collaboration?. In M van der Wende, W.C Kirby, N.C Liu, & S Marginson (Eds.), China and Europe on the New Silk Road: Connecting Universities Across Eurasia (pp. 240–254). Oxford University Press. doi:10.1093/oso/9780198853022.003.0013
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Bogaard, T, Wielemaker, J, Hollink, L, Hardman, L, & van Ossenbruggen, J.R. (2020). Understanding user behavior in digital libraries using the MAGUS session visualization tool. In Digital Libraries for Open Knowledge (pp. 171–184). doi:10.1007/978-3-030-54956-5_13
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Traub, M.C. (2020, May 11). Measuring Tool Bias and Improving Data Quality for Digital Humanities Research. SIKS Dissertation Series.
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Bucur, C.I, Kuhn, T, & Ceolin, D. (2019). Peer reviewing revisited: Assessing research with interlinked semantic comments. In Proceedings of the International Conference on Knowledge Capture (pp. 179–187). doi:10.1145/3360901.3364434
Software
Amalgame: Managing alignments in large vocabularies
Amalgame, short for AMsterdam ALignment GenerAtion MEtatool, is a Semantic Web tool for finding, evaluating and managing vocabulary alignments, i.e. relating corresponding concepts in different vocabularies.
Current projects with external funding
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Culturally aware AI (AI:CULT)
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Responsible Recommenders in the Public Library (PPS Koninklijke Bibliotheek)
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The eye of the beholder: Transparent pipelines for assessing online information quality (The eye of the beholder)
Related partners
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Koninklijke Bibliotheek
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KNAW - Meertens Instituut