The User Centric Data Science group researches how various users interact with systems and consume and produce data. We are interested in the many technological and socio-economic challenges related to a sustainable, inclusive and fair Digital Society that are still awaiting real scientific solutions. 

We are an international and diverse team of researchers interested in Data Science, Semantic Web and Linked Data, Ethics of AI, Cultural and Socially-aware AI, Digital Humanities, Computational Social Science and ICT for Development, always with a human-centric approach. Our group has played an active role in the development of Semantic Web technologies and models including OWL, RDF 1.1, PROV and SKOS.

We are involved in various nationally and internationally funded research projects. Our group has specific expertise in applying its research to applications in the cultural heritage, media, social science, Internet of Things and biomedical domains through close collaborations with institutions such as the Rijksmuseum, Netherlands Institute for Sound and Vision, BBC, IBM and Europeana.

UCDS is part of the Department of Computer Science at the Science Faculty of Vrije Universiteit Amsterdam.

UCDS news and updates

Get in Touch

Visiting address

De Boelelaan 1081 – NU Building
1081 HV Amsterdam

Find us on Google Maps

Postal Address

De Boelelaan 1105
1081 HV Amsterdam

Give us a ring

T (central): +31 20 59 89898
F (central): +31 20 59 89899

Secretary: Mojca Lovrenčak
T +31 20 59 87782
m.lovrencak@vu.nl

Tweets by UCDS members

We have a bunch of information available on our website: the initial CfP, sponsoring info, and much more!

Check it out: https://www.hhai-conference.org/

#hybridintelligence

I’ve returned from my trip to Amsterdam! It was lovely.

As a wheelchair user, I found it much more challenging than I had anticipated.

My thoughts on transport and street accessibility…🧵

Making dutch labels for the #PROV OWL #ontology out of necessity & thinking: somebody already did this. But nowhere to find them or contribute them. While the semantics might change slow, labels and definitions might not. A #wikibase for standard ontologies? #RDF #knowledgegraph

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