May 30, 2023 to June 2, 2023
Landhaus Nordhelle, Meinerzhagen
Europe/Berlin timezone

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. 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.

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.

Landhaus Nordhelle, Meinerzhagen
Zum Koppenkopf 3, 58540 Meinerzhagen

Working Sessions Sustainability in ErUM-Data

Wednesday: Hardware & Research Data

1 Footprint: Construct a comprehensive mental picture of the footprint of all ErUM-Data related activities. Where does quantitative knowledge exist or is 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 feedback can reduce a footprint through ML methods. 

2 [Dynamic] Energy Supply: Where to locate & operate computing systems incl. storage. How could a dynamic energy supply look like, which covers the needs of ErUM-Data related activities with renewable energies to a large extent? 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?

3 Hardware Lifetime: How could prolonged/optimized usage of hardware resources in view of technology evolution be modeled beyond their usual lifetime? 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?

4 Hardware & Algorithms: 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, which automated mechanisms exist for adapting algorithms to non-specific or dedicated hardware? 

5 Smart Data: 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? 

6 Cultural Change: How 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? Assess ethical implications and risk assessment.

Thursday: Algorithms & Mindset

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

2 Inquiries & Dynamics: How can input questions be optimally 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? 

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

4 Machine Models: Pre-trained and generative models have high potential for energy savings in both their creation and usage of machine learning. What innovations are needed to achieve reliable routine operation?

5 Injected Intelligence: 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 use to avoid constantly reinventing the wheel? How can knowledge discovery of work already performed look like?

6 Workflow & Stakeholders: 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?

Keynote Speakers: 

  • TBA


  • Your willingness to actively contribute.

Venue & Fee:

  • At Landhaus Nordhelle there is a possibility to do sports, hiking and swimming in your spare time. Remember to bring suitable clothing. 
  • A fee of 350€ will be charged for participation in the course. The workshop fee includes the cost of the workshop, accommodation and catering.

This workshop is supported by:

Application for this event is currently open.
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