The ZHAW Datalab is the scientific partner of the SDS and is organising the International Symposium on the Science of Data Science. The aim of this satellite event, one day prior to the SDS conference, is to work together on the scientific core of data science.

What makes Data Science more than the sum of methods and tools from other disciplines? What new insights can be gained from working with data in general? The workshop is aimed at researchers and practitioners who would like to contribute in the form of hypotheses.

The symposium is planned as a two-stage process: the first symposium addresses preliminary thoughts and hypotheses. The second symposium (date is yet to be determined) aims to finalise these findings and publish them as conference proceedings after the symposium.

"The SDS was founded at the ZHAW in 2014 and later handed over to the data innovation alliance as organiser. We are very pleased to now support the SDS as a scientific partner and to organise the symposium. Data science is a focus topic at the ZHAW, and the ZHAW Datalab is a key player in enabling interdisciplinary innovation and technology transfer at the ZHAW and beyond," says Robert Vorburger, Head of the ZHAW Datalab.

More information on the Call for Contributions

13:00 Opening:

• Welcome and introduction (Thilo Stadelmann)
• Stand-up intro of authors and the main argument of their abstract (all presenters)

Presentations

Track 1

• Moderation: Silvia Quarteroni
• Scientific secretary: Anna Drewek

Track 2

• Moderation: Armando Geller
• Scientific secretary: Elena Gavagnin

13:15

• Sven Helmer, "Teaching Data Science: Constructing Pillars in a Fluid Field"
• Christoph Heitz, "The two elements of data science: Science & engineering"

13:30

• Thilo Stadelmann, "Data Centrism: Scientific Core of Data Science"
• Martin Melchior, "Learning Interpretable Features by Generative Models"

13:45

• Claus Horn und Victor Garcia,, "The Science of Data - Moving Towards a Comprehensive Systems Perspective"
• Edgar Santos-Fernandez, Julie Vercelloni, Erin Peterson and Kerrie Mengersen, "Data Science meets Citizen Science: how to trust people"

14:00

• David Kempf, "Grounding Data Science by means of domain knowledge and a guiding framework"
• Dandolo Flumini & Rudolf Füchslin, "AI=Arational Intelligence"

14:15

• Manuel Dömer, "Is it Ops that make Data Science Scientific?"

14:30: Coffee-break

14:45: Track Discussion (moderator & scientific secretary)

15:45: Bilateral discussions submit 1-2 sentences to scientific secretary

16:15: Coffee-break

16:30: Plenum (Moderator: Rudolf Füchslin) scientific secretary & moderators present track main arguments and syntheses

17:00: Apero (wonder.me)

17:30: End