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Data Stories

Everyone is cordially invited to take part in our Data Stories!
Data Story

In exciting talks, we will listen to inspiring stories  about data handling, data management and data science applied in the private sector or in science. 

The speakers shed light on the importance of data competences with regard to their individual working fields and will discuss current challenges.

The talks are complemented by a joint discussion in which everyone has the chance to ask questions and state comments.

Whenever possible, the events end with an opportunity for networking and socializing with peers from other disciplines and the speakers over some seasonal snacks and drinks.

Please find our current program and further information for each event below.


Our Data Stories

#001 Moritz Stefaner (Truth & Beauty)

Multiplicity - A collective photographic city portrait
Multiplicity - A collective photographic city portrait Comissioned by Fondation EDF, Paris on occasion of the exhibition 123 data; Design and implementation: Moritz Stefaner

12.01.2021, 15:00-16:00 CET, Online via VC

- as part of the Data Train Kick-off 2022 (14:00-16:00):


Program Data Train Kick-off 2022
  • 14:00 Presentation of the Data Train Program
  • 14:40 Interception of Data Stewardship & Data Science
  • 15:00 Data Story #001


Save the date! Registration starts in December.



Beyond the bar chart: How new data languages can make complexity graspable


Moritz Stefaner is constantly chasing the perfect shape for information — how can we create expressive, intriguing, and elegant data experiences? He will walk us through his recent explorations pushing the boundaries of data visualization — from interactive experiences over data sculptures to even using food for representing data.

#002 Dr. Anatol Fiete Näher (Robert Koch Institute, RKI) | 3 March 2022, 4 - 6 pm (online)

About the unFAIRness of COVID-data




#003 Sonja Sievi & Götz Anspach von Broecker (AIRBUS) | tba


Postponed - new date will be announced


  • Welcome
  • Data Story #003
  • Discussion



Data Centric Systems in the Public Sector and Industry

Systems that are supposed to manage and associate data volumes, process data streams and interconnect databases are known in their smallest version as APPs on computers and smartphones. Very large systems, for example disaster reaction and control centers and security and awareness centers, are called system-of-systems.

What they all have in common is that independent data sources and data users cooperate with each other via interfaces especially in future cooperation platforms for the development, production, manufacturing and operation of complex SYSTEMS such as ships, aircraft, energy grids and vehicle fleets and of course complex administrational task (e-government).

This sounds simple and actually feasible - Amazon, Meta and Google have been doing it for a long time - but in public sectors, healthcare and industrial applications there are many legal barriers due to data security/intellectual property/export control rules that make a simple setup extremely difficult, or even impossible.

Examples will be shown that reflect the current state of the art, highlight the challenges from a technical, regulatory and socio-political point of view, and give suggestions on how to overcome these challenges. The examples will range from applications in space via governmental security systems to future cooperation platforms (GAIA-X initiative of the EU) and virtual aircraft wharfs.