Jaap van den Herik studied mathematics at the Vrije Universiteit Amsterdam (with honours), received his Ph.D. degree at Delft University of Technology in 1983 and was appointed as full Professor of Computer Science at Maastricht University in 1987. In 1988 he was appointed as part-time Professor of Law and Computer Science at the Leiden University. In 2008, he moved as Professor of Computer Science to the Tilburg University (2008- 2016). He is the Founding Director of IKAT (Institute of Knowledge and Agent Technology) and TiCC (Tilburg center for Cognition and Communication). In the Netherlands he initiated the research area e-Humanities. Van den Herik is ECCAI fellow since 2003, member of the TWINS (the research council for sciences of the KNAW) and a member of the Royal Holland Society of Sciences and Humanities (KHMW). In 2012 he was co-recipient of an ERC Advanced Research Grant (together with Jos Vermaseren (PI, Nikhef) and Aske Plaat). On January 1, 2014 the appointment at the Faculty of Law was broadened to the Faculty of Science. Together with Joost Kok and Jacqueline Meulman he launched Leiden Centre of Data Science (LCDS) and is Chair of the Board of LCDS.
Kristina Hettne is employed as lead researcher knowledge discovery at the BioSemantics group of the Human Genetics Department of Leiden University Medical Center (LUMC). The last five years she has focused on developing resources and methods for in-silico knowledge discovery in the biomedical domain, and contributed to defining biosemantics research goals and their implementation. She integrates prior knowledge from literature with statistical pathway analysis methods to analyze -omics data. Furthermore Kristina contributes to setting standards for providing resources and methods to the research community in a Findable, Accessible, Interoperable and Re-useable (FAIR) way, through the development and application of Research Objects (standard format for describing an in silico experiment) Nanopublications (standard format for stating an assertion), and scientific research pipelines (workflows).