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Workshop: Sustainability in the Digital Transformation of Basic Research on Universe & Matter

→ Europe/Berlin
Landhaus Nordhelle, Meinerzhagen

Landhaus Nordhelle, Meinerzhagen

Zum Koppenkopf 3, 58540 Meinerzhagen
Martin Erdmann (RWTH Aachen University)
Description

The creative workshop develops Strategic concepts for sustainability in the digital transformation of basic research on universe & matter - from the funding applications on. The workshop program focuses on working sessions with below-mentioned guiding questions. The 6 sub-groups of ca. 5 participants will gather relevant information for the final report which will be published timely after the workshop (CSBS Journal). Keynote presentations by high-profile experts will inform participants and stimulate discussions. Key measures will concern education, research and innovation, in line with the BMBF's sustainability goals. We encourage young scientists and experienced scientists to participate in order to enable broad discussions.


The Workshop is hosted over 4 days at Landhaus Nordhelle in Meinerzhagen by the community organization DIG-UM with support from the BMBF-funded ErUM-Data-Hub. 

A fee of 350€ will be charged for participation in the course. The workshop fee includes the cost of the workshop, accommodation and catering.

Please take note of the current Corona measures linked here.

 

 

Event Poster.pdf
Workshop Sustainability in the Digital Transformation of Basic Research on Universe & Matter (3).pdf
Participants
  • Alexander Kappes
  • Angela Warkentin
  • Astrid Schneidewind
  • Benjamin Fischer
  • Christian Felder
  • Cyrus Walther
  • Daniel Schindler
  • Daniela Hadasch
  • Frank Schreiber
  • Jens Struckmeier
  • Johannes Erdmann
  • Judith Reindl
  • Kai Zhou
  • Lukas Geiger
  • Marilyn Cruces
  • Martin Erdmann
  • Martin Gasthuber
  • Michael Düren
  • Niclas Eich
  • Oleksiy Kozlov
  • Pardis Niknejadi
  • Peter Fackeldey
  • R. Florian von Cube
  • Raphael Kleinemühl
  • Simon Neuhaus
  • Stefan Fröse
  • Thomas Kuhr
  • Torsten Enßlin
  • +9
Contact
  • Tuesday, 30 May
  • Wednesday, 31 May
    • 07:00 → 09:00
      Breakfast 2h
    • 09:00 → 10:30
      Hardware & Research Data
      2023-31-05_HZB_Sustainability_KeynoteSpeech_OO.pdf
    • 10:30 → 11:00
      Coffee 30m
    • 11:00 → 11:25
      View of the BMBF
      2023-05-31_ErUM-Data Workshop_Nachhaltigkeit.pdf
      • 11:00
        Talk by Dr. Salome Shokri-Kuehni 25m
    • 11:25 → 12:30
      Subworking Group Session: Hardware & Research Data
      sustainability-groups.pdf
      • 11:25
        Group 1 Footprint 1h 5m

        Constructing a comprehensive picture of the footprint of all ErUM-Data related activities. Where does quantitative knowledge exist, where is it lacking? What resource needs do you see, what opportunities for savings? What innovations are needed to keep sustainable use of resources in balance with demands? To what extent does continuing education play a role? How can feedback reduce a footprint through ML methods?

      • 11:26
        Group 2 Energy Supply 1h 4m

        Where to locate & operate computing systems incl. storage? How could a dynamic energy supply look like, which largely covers the needs of ErUM-Data related activities with renewable energies? What information flows would be required for this? What mechanisms and what dynamics are required on a supra-regional basis to create compensation possibilities for windless/sunless periods?

      • 11:27
        Group 3 Hardware Lifetime 1h 3m

        How could prolonged / optimized usage of hardware resources in view of technology evolution be modeled beyond their usual lifetimes? What short- and medium-term monitoring would be required to signal indispensable replacements on the one hand, and to execute computing jobs matching their algorithmic requirements on prolonged or current hardware on the other?

      • 11:28
        Group 4 Hardware & Algorithms 1h 2m

        Which adaptive measures for hardware and algorithms could have a decisive impact on ErUM-Data? Which types of hardware (including e.g., GPU, TPU, FPGA, neuromorphic computing) could be considered and which automated mechanisms exist for adapting algorithms to non-specific or dedicated hardware?

      • 11:29
        Group 5 Smart Data 1h 1m

        Deciding when and how to discard information without losing scientific value, based on learning from nature and experiment. What mechanisms for transforming data to smart data can be envisioned, and how can evaluation and control of information gain or loss be accomplished? How can archiving and retrieving data be managed?

      • 11:30
        Group 6 Cultural Change 1h

        What could a comprehensive educational area for rethinking, among other things, the use of computer hardware, actually required information (smart data), preparation of data packages (event loops versus event chunks), etc. look like? How can we change to a culture of data reuse? Assessment of ethical implications and risk assessment.

    • 12:30 → 13:30
      Lunch 1h
    • 14:30 → 16:00
      Subworking Group Session: Hardware & Research Data
      sustainability-groups.pdf
      • 14:30
        Group 1 Footprint 1h 30m
      • 14:31
        Group 2 Energy Supply 1h 29m
      • 14:32
        Group 3 Hardware Lifetime 1h 28m
      • 14:33
        Group 4 Hardware & Algorithms 1h 27m
      • 14:34
        Group 5 Smart Data 1h 26m
      • 14:35
        Group 6 Cultural Change 1h 25m
    • 16:00 → 16:30
      Coffee 30m
    • 16:30 → 18:00
      Social Afternoon
    • 18:00 → 19:00
      Supper 1h
  • Thursday, 1 June
    • 07:00 → 09:00
      Breakfast 2h
    • 09:00 → 10:30
      Presentations Hardware & Research Data
      • 09:00
        Group 1 Footprint 12m
        Speaker: Guenter Duckeck (ATLAS (ATLAS-Experiment))
        Erum-Footprint-1.pdf
      • 09:15
        Group 2 Energy Supply 12m
        Speaker: Dr Kilian Schwarz (IT (IT Scientific Computing))
        2023-05-31_Group2_EnergySupply .pdf
      • 09:30
        Group 3 Hardware Lifetime 12m
        Speaker: Martin Gasthuber (IT (IT Scientific Computing))
        s-ws-g3-summary.pdf
      • 09:45
        Group 4 Hardware & Algorithms 12m
        Speaker: Ralf Florian von Cube (Karlsruhe Institute of Technology (KIT))
        hardware_and_algorithms.pdf
      • 10:00
        Group 5 Smart Data 12m
        Speaker: Sebastian Wozniewski
        SmartData.pdf
      • 10:15
        Group 6 Cultural Change 12m
        Speaker: Dr Pardis Niknejadi (MPY (Beschleunigerphysik))
        WG6Sum_PN.pdf
    • 10:30 → 11:00
      Coffee 30m
    • 11:00 → 12:30
      Algorithm & Mindset
    • 12:30 → 13:30
      Lunch 1h
    • 14:30 → 15:00
      Algorithm & Mindset
    • 15:00 → 16:58
      Subworking Group Session: Algorithms & Mindset
      sustainability-groups-2.pdf
      • 15:00
        Group 7 Autonomization 1h
      • 15:01
        Group 8 Inquiries & Dynamics 59m
      • 15:02
        Group 9 Algorithms & Software 58m
      • 15:03
        Group 10 Machine Models 57m
      • 15:04
        Group 11 Injected Intelligence 56m
      • 15:05
        Group 12 Workflow & Stakeholders 55m
    • 16:00 → 16:30
      Coffee 30m
    • 16:30 → 18:00
      Subworking Group Session: Algorithms & Mindset
      sustainability-groups-2.pdf
      • 16:30
        Group 7 Autonomization 1h 30m

        We witness the transfor-mation from the era of automation to an era of autonomization (e.g., unsupervised learning). Where will ErUM-Data benefit from autonomi-zation, which innovations are necessary and how can the reliability of the autonomously obtained results be ensured?

      • 16:31
        Group 8 Inquiries & Dynamics 1h 29m

        How can input questions be posed to generate the best possible output from the machines? What relevance will dynamic learning algorithms and machines have for the field of ErUM-Data?

      • 16:32
        Group 9 Algorithms & Software 1h 28m

        Our thinking in algorithms and software has a direct impact on resource requirements. What can sustainable algorithm & software engineering and an associated educational program in algorithm & software development look like to get ErUM-Data to the forefront of developers?

      • 16:33
        Group 10 Machine Models 1h 27m

        Pre-trained and gene-rative models have a high potential for energy savings in both their creation and usage of machine learning. What innovations are needed to achieve a reliable routine operation?

      • 16:34
        Group 11 Injected Intelligence 1h 26m

        How can reasoning by the physicist, mathematician, or any other kind of intelligence speed up the processes of learning or make them more energy efficient? What measures can we apply to avoid constantly reinventing the wheel? What can knowledge discovery of work already performed look like?

      • 16:35
        Group 12 Workflow & Stakeholders 1h 25m

        How can well-defined, reproducible workflows with high user dynamics (data analyses) be captured that remain functional in the long term? How can an overall picture be created with all stakeholders working together on a large-scale project for the benefit of sustainability across their departmental boundaries?

    • 18:00 → 19:00
      Supper 1h
  • Friday, 2 June
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