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

30 May 2023, 18:00 → 2 Jun 2023, 13:30 Europe/Berlin

Landhaus Nordhelle, Meinerzhagen

Martin Erdmann (RWTH Aachen University)

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

Tuesday, 30 May

18:00 Supper

Setting the scope

Welcome & Farewell Sustainability v5.pdf

1 Introduction and Goal of Workshop

Speaker: Martin Erdmann (RWTH Aachen University)

2 Concrete Path to Sustainable Computing

Speaker: Prof. Andrew Grimshaw (Lancium Compute, US)

2023-05-30 Concrete Action.pdf

Wednesday, 31 May

07:00 Breakfast

Hardware & Research Data

2023-31-05_HZB_Sustainability_KeynoteSpeech_OO.pdf

3 Measures of sustainable computing operation

Speakers: Rod Walker (LMU), Rod Walker (LMU), Rodney Walker (ATLAS (ATLAS-Experiment))

Meinerzhagern_compOps(1).pdf

4 Sustainable research data management

Speaker: Dr Özlem Özkan (HZB Berlin)

2023-31-05_HZB_Sustainability_KeynoteSpeech_OO.pdf

2023-31-05_HZB_Sustainability_KeynoteSpeech_OO.pptx

5 Building sustainable systems

Speaker: Dr Jens Struckmeier (Cloud & Heat)

20230531_ErUM_Struckmeier_v1.pdf

20230531_ErUM_Struckmeier_v1.pptx

10:30 Coffee

View of the BMBF

2023-05-31_ErUM-Data Workshop_Nachhaltigkeit.pdf

6 Talk by Dr. Salome Shokri-Kuehni

Subworking Group Session: Hardware & Research Data

sustainability-groups.pdf

7 Group 1 Footprint

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?

8 Group 2 Energy Supply

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?

9 Group 3 Hardware Lifetime

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?

10 Group 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 and which automated mechanisms exist for adapting algorithms to non-specific or dedicated hardware?

11 Group 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?

12 Group 6 Cultural Change

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 Lunch

Subworking Group Session: Hardware & Research Data

sustainability-groups.pdf

13 Group 1 Footprint

14 Group 2 Energy Supply

15 Group 3 Hardware Lifetime

16 Group 4 Hardware & Algorithms

17 Group 5 Smart Data

18 Group 6 Cultural Change

16:00 Coffee

Social Afternoon

18:00 Supper

Thursday, 1 June

07:00 Breakfast

Presentations Hardware & Research Data

19 Group 1 Footprint

Speaker: Guenter Duckeck (ATLAS (ATLAS-Experiment))

Erum-Footprint-1.pdf

20 Group 2 Energy Supply

Speaker: Dr Kilian Schwarz (IT (IT Scientific Computing))

2023-05-31_Group2_EnergySupply .pdf

21 Group 3 Hardware Lifetime

Speaker: Martin Gasthuber (IT (IT Scientific Computing))

s-ws-g3-summary.pdf

22 Group 4 Hardware & Algorithms

Speaker: Ralf Florian von Cube (Karlsruhe Institute of Technology (KIT))

hardware_and_algorithms.pdf

23 Group 5 Smart Data

Speaker: Sebastian Wozniewski

SmartData.pdf

24 Group 6 Cultural Change

Speaker: Dr Pardis Niknejadi (MPY (Beschleunigerphysik))

WG6Sum_PN.pdf

10:30 Coffee

Algorithm & Mindset

25 General view on sustainability from DPG & ZEU

Speaker: Prof. Michael Dueren (University Giessen)

ERUM-DATA-Meinerzhagen2023slides.pdf

26 AI or Human? Mars colony as extreme example

Speaker: Judith Reindl

sustainability.pptx

27 Information field theory for knowledge driven inference systems

Speaker: Torsten Ensslin (MPA)

IFT4knowledge-driven-inference.pdf

12:30 Lunch

Algorithm & Mindset

28 Quantized neural networks

Speaker: Lukas Geiger (PlumerAI)

quantized neural networks.pdf

Subworking Group Session: Algorithms & Mindset

sustainability-groups-2.pdf

29 Group 7 Autonomization

30 Group 8 Inquiries & Dynamics

31 Group 9 Algorithms & Software

32 Group 10 Machine Models

33 Group 11 Injected Intelligence

34 Group 12 Workflow & Stakeholders

16:00 Coffee

Subworking Group Session: Algorithms & Mindset

sustainability-groups-2.pdf

35 Group 7 Autonomization

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?

36 Group 8 Inquiries & Dynamics

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?

37 Group 9 Algorithms & Software

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?

38 Group 10 Machine Models

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?

39 Group 11 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 apply to avoid constantly reinventing the wheel? What can knowledge discovery of work already performed look like?

40 Group 12 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?

18:00 Supper

Friday, 2 June

07:00 Breakfast

Presentations Algorithms & Mindset

41 Group 7 Autonomization

Speaker: Peter Fackeldey (RWTH Aachen University | ErUM-Data-Hub)

autonomization.pdf

42 Group 8 Inquiries & Dynamics

Speakers: Niclas Eich (RWTH Aachen University), Torsten Ensslin (MPA)

230601_inqueries_and_dynamics.pdf

43 Group 9 Algorithms & Software

Speaker: Thomas Kuhr (BELLE (BELLE II Experiment))

Working Group 9 Algorithms & Software.pdf

44 Group 10 Machine Models

Speaker: Johannes Erdmann (RWTH Aachen University)

SustainabilityWorkshop_WG10.pdf

45 Group 11 Injected Intelligence

Speaker: Dr Astrid Schneidewind (JCNS at MLZ, FZ Jülich)

WG-injected intelligence.pdf

46 Group 12 Workflow & Stakeholders

Speaker: Judith Reindl

working_group_12.pptx

10:30 Coffee

Further relevant efforts & Workshop summary

luggage.pdf

47 CONVIEN - Meeting Place Finder

Speaker: Thomas Kuhr (BELLE (BELLE II Experiment))

20230516_LMU_WORKSHOP_CONVIEN_PROJECTION (1).pdf

48 Discussion of the white paper

Summary-keynote-thursday-v1.pdf

Summary-Report.pdf

49 Farewell

Farewell June 23.pdf

12:30 Lunch