Irene Celino is a Computer Scientist and innovation leader with over 20 years of experience at the intersection of knowledge technologies and human-centered AI. Her work focuses on Semantic Web, Knowledge Graphs, and human-in-the-loop approaches, bridging advanced research with real-world impact. She is Research Line Manager at Cefriel, where she leads interdisciplinary teams translating cutting-edge AI and data innovation into applications for smart cities, mobility, and Industry 5.0. She has contributed to more than 40 collaborative research projects across Europe, combining scientific excellence with hands-on project leadership and technology transfer, and has authored over 100 scientific publications.
More information at iricelino.org.
Paul Groth is Professor of Algorithmic Data Science at the University of Amsterdam where he leads the Intelligent Data Engineering Lab (INDElab) and is scientific director of the UvA’s Data Science Center. He holds a Ph.D. in Computer Science from the University of Southampton (2007) and has done research at the University of Southern California, the Vrije Universiteit Amsterdam and Elsevier Labs. His research focuses on intelligent systems for dealing with large amounts of diverse contextualized data with a particular focus on web and science applications. This includes research in data provenance, data integration and knowledge sharing.
Previously, Paul led the design of a number of large scale data integration and knowledge graph construction efforts in the biomedical domain. Paul was co-chair of the W3C Provenance Working Group that created a standard for data provenance interchange. He has also contributed to the emergence of community initiatives to build a better scholarly data ecosystem including altmetrics and the FAIR data principles.
Paul is co-author of “Provenance: an Introduction to PROV” and “The Semantic Web Primer: 3rd Edition” as well as over 200 academic articles. More information at pgroth.com.