The Science Cloud – Towards a Research Data Ecosystem for the next Generation of Data‐intensive Experiments and Observatories

Contribution List

1. Are we ready for the next level of Big Data?

Dieter Kranzlmüller

1/12/20, 8:00 PM

Session 1

2. Lessons from the Sloan Digital Sky Survey

Alex Szalay

1/13/20, 9:00 AM

Session 2

3. Data pipelines for Euclid

Martin Kümmel

1/13/20, 9:45 AM

Session 2

4. How Big Data missions like LSST drive new models of how we build our systems - and our teams

Frossie Economou

1/13/20, 11:00 AM

Session 3

5. Science Data Centres for Radio Astronomy: from LOFAR to SKA

Michiel van Haarlem

1/13/20, 11:45 AM

Session 3

6. The Cherenkov Telescope Array data management mode

Matthias Füssling, Stefan Schlenstedt

1/13/20, 2:00 PM

Session 4

7. Handling of Neutrino Telescope Data

Kay Graf

1/13/20, 2:45 PM

Session 4

8. Computing for HL-LHC

Volker Gülzow

1/13/20, 4:00 PM

Session 5

9. Data Challenges at the European XFEL – 1B/s to 10GB/s

Steffen Hauf

1/13/20, 4:45 PM

Session 5

10. About the Wilhelm and Else Heraeus Foundation

Stefan Jorda

1/13/20, 6:30 PM

Session 6

11. Withnessing the Convergence of HPC and Data

Luigi Iapichino, Stefan Hachinger

1/14/20, 9:00 AM

Session 7

12. Knowledge Gain in the Age of HPC and Big Data

Susanne Pfalzner

1/14/20, 9:45 AM

Session 7

13. Enabling Data-Intensive Computing & the EOSC

Achim Streit (KIT-SCC)

1/14/20, 11:00 AM

Session 8

14. Bio-inspired Information Processing: The Future of Artificial Intelligence?

Hermann Kohlstedt

1/14/20, 11:41 AM

Session 8

15. IT infrastucture of the futute – Envision the future of Computing !

Ingolf Wittmann, Oliver Oberst

1/14/20, 2:00 PM

Session 9

16. Advanced data analysis in the era of virtual observatories

Kai Polsterer

1/15/20, 9:00 AM

Session 10

17. Theoretical simulations

Stefanie Walch-Gassner

1/15/20, 9:45 AM

Session 10

18. Brain inspired computing

Johannes Schemmel

1/15/20, 11:00 AM

Session 11

19. The Machine & Memory-Driven Computing

Martin Brennecke

1/15/20, 2:00 PM

Session 12

20. Memory-based computing forastronomical applications

Hermann Heßling

1/15/20, 2:45 PM

Session 12

22. Summary of the Seminar

Karl Mannheim (Universitaet Wuerzburg, Germany)

1/15/20, 3:30 PM

Session 12

21. Physics and machine learning

Katharina Morik

1/15/20, 4:00 PM

Session 13