Today’s research questions – especially when addressing the most significant, transdisciplinary research challenges – can only be answered by using a broad range of skills related to data. This includes common principles and practices of research data management, the use of a range of data platforms and infrastructures, data processing, large scale analysis, visualization techniques, software development and annotation and more.
This Digital Earth Summer School is designed to provide a real understanding of fundamental principles and methods of Data Science to enhance the quality of your research output. It offers training in essential skills of Data Science related to Earth Sciences by using a multidisciplinary approach that bridges science disciplines and Earth spheres.
Specific topics of the event include
Modern Research Data Management (e.g. FAIR principles, standards and data services)
Data Processing – From Field to Data Set (e.g. modules of processing chains, QC/QA)
Chances of Digital Science for Earth Science Research (e.g. Deep Learning, visualization techniques, data annotation and integration)
Software Development in a Team (Git lab, Python, Jenkins, Continuous Integration (CI); Software Container)
Confirmed keynote speakers
Helen Glaves, British Geological Survey, UK
Bertram Ludäscher, University of Illinois, USA
Daniel Brün, saltation GmbH, GER
more to come…
The Summer School is open to PhD candidates and Postdocs from Earth Sciences with a strong commitment to Data Science. Participation will be limited to a maximum of 30 people.
March 15 – 20 2020
For more information please visit www.digitalearth-hgf.de/de/summer-school
Mihal Rütimann (FZJ), Stephan Frickenhaus (AWI), Viktoria Wichert (HZG), Romy Fösig (KIT), Wolfgang zu Castell (HMGU), Uta Ködel (UFZ), Antonie Haas (AWI), Daniel Eggert (GFZ) and Daniela Henkel (GEOMAR)