Prof. Dr. Gordon Pipa, OsnaBrück University, Institute of Cognitive Science
Prof. Pipa is currently chair of the Neuroinformatics Lab at the Institute of Cognitive Science at Osnabrueck University, Germany. He started this position after research positions at the Max Planck Institute for Brain Research in Frankfurt, and the Department of Brain and Cognitive Sciences at MIT. He studied physics with a focus on complex systems and statistical physics, holds a Ph.D. degree in computer science and Habilitation in biology. Additionally, he holds several patents in the domain of neuro-inspired image processing.
Prof. Dr. Michel Dumontier, Maastricht University, Institute of Data Science
Dr. Michel Dumontier is a Distinguished Professor of Data Science at Maastricht University. His research focuses on the development of computational methods for scalable integration and reproducible analysis of FAIR (Findable, Accessible, Interoperable and Reusable) data. His group combines semantic web technologies with effective indexing, machine learning and network analysis for drug discovery and personalized medicine. Previously at Stanford University, Dr. Dumontier now leads a new inter-faculty Institute for Data Science at Maastricht University that is thematically aligned to accelerating scientific discovery, improving health and well-being, and strengthening communities. He is a Principal Investigator in the Dutch National Research Agenda, for NIH/NCATS Biomedical Data Translator, and the NIH Data Commons. He is a co-founder of the FAIR (Findable, Accessible, Interoperable, Re-usable) initiative, and is the scientific director for Bio2RDF, an open source project to generate Linked Data for the Life Sciences. He is the editor-in-chief for the journal Data Science and an associate editor for the journal Semantic Web. He is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies.
Methods for Big Data in Official StatisticsRegistration website for Methods for Big Data in Official Statistics
Methods for Big Data in Official StatisticsMethods for Big Data in Official Statistics0.00EUROnlineOnly2019-01-01T00:00:00Z
Brightlands Smart Services CampusBrightlands Smart Services CampusSmedestraat 2 6411 CR Heerlen Netherlands