Data Science 2018

Data Science

August 2 to August 16, 2018

Advanced technologies are fast adopted by researchers and research communities and enable new ways for generating, processing, structuring and collaboratively using data. This does not only have a profound impact on the amount of data produced, but also on the variety of data formats and the velocity of data generation and handling. With digital technology, new scientific questions can be addressed and old problems can be tackled, for which the technology has not been available so far.

In the near future data scientists will become indispensable for research and scientific work in all disciplines worldwide. Especially young researchers should know what data science means, what the implications for scientific inquiry are, and what skills a data scientist will need to be productive in a world deluged by data. This summer school aimed to improve the existing knowledge and skills of young researchers and paved their way in becoming a data scientist. It aimed at giving the chance to not only learn new methods and technologies on a theoretical level but also to apply those in interactive and collaborative sessions.


In a series of lectures, 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.

Topics covered

  • Data management, Data sharing and Data publication
  • Open Science
  • Legal and ethical aspects (e.g. Licensing, Copyright)
  • Infrastructures and Platforms (HPC, CloudComputing, CloudStorage)
  • Mathematical and Statistical Methods
  • Data processing I (eg. Text, Image and Database Analysis)
  • Data processing II (eg. Visualization & storytelling)
  • Application Examples

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

The Social Program included different events such as sightseeing tours, hiking trips and a joint barbecue.


Scientific and Local Organizing Committee:

Prof. Dr. Ramin Yahyapour, Institute of Computer Sciences, Practical Informatics

Dr. Sven Bingert, Gesellschaft für wissenschaftliche Datenverarbeitung Göttingen (GWDG)

Dr. Philipp Wieder, Gesellschaft für wissenschaftliche Datenverarbeitung Göttingen (GWDG)

Timo Gnadt, Göttingen State and University Library (SUB)

Lena Steilen, Gesellschaft für wissenschaftliche Datenverarbeitung Göttingen (GWDG)