It is well understood that achieving Reproducible Science across all scienti c disciplines is an extremely ambitious goal that will be really di cult to achieve. However, as far as it could be, there are many small steps that can be taken towards improving our way of doing, communicating and advancing Science, by making the experiments that we describe in our scienti c papers easier to reproduce.
Oscar Corcho is Full Professor at Departamento de Inteligencia Arti cial (Facultad de Informtica , Universidad Politcnica de Madrid), and he belongs to the Ontology Engineering Group.
His research activities are focused on Semantic e-Science and Real World Internet, although he also works in the more general areas of Semantic Web and Ontological Engineering. In these areas, he has participated in a number of EU projects (DrInventor, Wf4Ever, PlanetData, SemsorGrid4Env, ADMIRE, OntoGrid, Esperonto, Knowledge Web and OntoWeb), and Spanish R&D projects (CENITS mIO!, Espaa Virtual and Buscamedia, myBigData, GeoBuddies), and has also participated in privately-funded projects like ICPS (International Classi cation of Patient Safety), funded by the World Health Organisation, and HALO, funded by Vulcan Inc.
Previously, he worked as a Marie Curie research fellow at the University of Manchester, and was a research manager at iSOCO. He holds a degree in Computer Science, an MSc in Software Engineering and a PhD in Computational Science and Arti cial Intelligence from UPM. He was awarded the Third National Award by the Spanish Ministry of Education in 2001.
He has published several books, from which Ontological Engineering can be highlighted as it is being used as a reference book in a good number of university lectures worldwide, and more than 100 papers in journals, conferences and workshops. He usually participates in the organisation or in the programme committees of relevant international conferences and workshops.