August 5 to August 16, 2019

Summer School "Data Science"

Data Science is quickly emerging as an indispensable tool for scientific work and research. Young researchers from all scientific disciplines can greatly benefit from learning what the field of data science encompasses, how data science can be applied to scientific inquiries, and what skill-set a data scientist should hope to acquire in a world deluged by data. The goal of this summer school was to improve the existing methodological knowledge and skills of young researchers in order to pave their way to becoming proficient data scientists.


In a series of lectures by experts from a wide range of scientific disciplines (e. g. computer science, mathematics, economics, geography, medicine, (statistical) bioinformatics, and engineering sciences), the participants were introduced to the field of data science from different vantage points. Practical sessions allowed students to apply different theories and methods in practice, both individually and in teams.

Data Science related topics and methods covered:

  • The data lifecycle
  • Best Practices in data management
  • Methods (modelling, statistics, mining, …)
  • Infrastructures and platforms
  • Application examples
  • Ethical, legal, and social aspects

All topics were complemented with exercises from real world examples. In addition, there were short presentations, interactive sessions and teamwork activities, enabling participants to present and discuss their own work and ideas.


The Summer School will be organized jointly by the Institute of Computer Science, the GWDG’s and SUB’s joint service unit on research data management - Göttingen eResearch Alliance, and the University Medical Centre.
Namely (in alphabetical order):

  • Dr Sven Bingert (GWDG)
  • Tal Dankovich (UMG)
  • Timo Gnadt (SUB)
  • Prof. Dr Jens Grabowski (Institute of Computer Science)
  • Prof. Dr Ulrich Sax (University Medical Centre)
  • Lena Steilen (GWDG)
  • Prof. Dr Ramin Yahyapour (Institute of Computer Science)

This Summer School was supported financially by the German Academic Exchange Service (DAAD) with funds provided by the German Federal Foreign Office.