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

    Jan 12 – 15, 2020
    Bad Honnef
    Europe/Berlin timezone

    Contact: Andreas Haungs

    Contribution List

    22 out of 22 displayed
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    1. 1. Are we ready for the next level of Big Data?
      Dieter Kranzlmüller
      1/12/20, 8:00 PM
    2. 2. Lessons from the Sloan Digital Sky Survey
      Alex Szalay
      1/13/20, 9:00 AM
    3. 3. Data pipelines for Euclid
      Martin Kümmel
      1/13/20, 9:45 AM
    4. 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
    5. 5. Science Data Centres for Radio Astronomy: from LOFAR to SKA
      Michiel van Haarlem
      1/13/20, 11:45 AM
    6. 6. The Cherenkov Telescope Array data management mode
      Matthias Füssling, Stefan Schlenstedt
      1/13/20, 2:00 PM
    7. 7. Handling of Neutrino Telescope Data
      Kay Graf
      1/13/20, 2:45 PM
    8. 8. Computing for HL-LHC
      Volker Gülzow
      1/13/20, 4:00 PM
    9. 9. Data Challenges at the European XFEL – 1B/s to 10GB/s
      Steffen Hauf
      1/13/20, 4:45 PM
    10. 10. About the Wilhelm and Else Heraeus Foundation
      Stefan Jorda
      1/13/20, 6:30 PM
    11. 11. Withnessing the Convergence of HPC and Data
      Luigi Iapichino, Stefan Hachinger
      1/14/20, 9:00 AM
    12. 12. Knowledge Gain in the Age of HPC and Big Data
      Susanne Pfalzner
      1/14/20, 9:45 AM
    13. 13. Enabling Data-Intensive Computing & the EOSC
      Achim Streit (KIT-SCC)
      1/14/20, 11:00 AM
    14. 14. Bio-inspired Information Processing: The Future of Artificial Intelligence?
      Hermann Kohlstedt
      1/14/20, 11:41 AM
    15. 15. IT infrastucture of the futute – Envision the future of Computing !
      Ingolf Wittmann, Oliver Oberst
      1/14/20, 2:00 PM
    16. 16. Advanced data analysis in the era of virtual observatories
      Kai Polsterer
      1/15/20, 9:00 AM
    17. 17. Theoretical simulations
      Stefanie Walch-Gassner
      1/15/20, 9:45 AM
    18. 18. Brain inspired computing
      Johannes Schemmel
      1/15/20, 11:00 AM
    19. 19. The Machine & Memory-Driven Computing
      Martin Brennecke
      1/15/20, 2:00 PM
    20. 20. Memory-based computing forastronomical applications
      Hermann Heßling
      1/15/20, 2:45 PM
    21. 22. Summary of the Seminar
      Karl Mannheim (Universitaet Wuerzburg, Germany)
      1/15/20, 3:30 PM
    22. 21. Physics and machine learning
      Katharina Morik
      1/15/20, 4:00 PM