Work

DKZ.2R Data Competence College (DCC) - March 2025

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Publication details

Format
Event · event
Published
2025-04-22 (day precision)
Version DOI
10.5281/zenodo.15260985
Concept DOI
10.5281/zenodo.15223927

Authors, in publication order

  1. Hartman, Jonathan · ORCID (RWTH Aachen University, as recorded)
  2. Bossert, Lukas C. · ORCID (RWTH Aachen University, as recorded)
  3. Janz, Alicia · ORCID (University of Cologne, as recorded)
  4. Immel, Katharina · ORCID (Forschungszentrum Jülich, as recorded)
  5. Klenke, Jens · ORCID (University of Duisburg-Essen, as recorded)
  6. vatho, chem · ORCID (University of Cologne, as recorded)
  7. Lichtenberg, Nils · ORCID (RWTH Aachen University, as recorded)
  8. Navyanth, Kusampudi · ORCID (Max-Planck-Institut für Nachhaltige Materialien, as recorded)
  9. Houben, Sebastian · ORCID (Hochschule Bonn-Rhein-Sieg, as recorded)
  10. Wolter, Moritz · ORCID (University of Bonn, as recorded)
  11. Lorber, Marvin · ORCID
  12. Lennard, Maßmann · ORCID (University of Duisburg-Essen, as recorded)
  13. Enzo, Schneider (RWTH Aachen University, as recorded)
Catalogue, materials & citation →Version history ↗

Source description

The first Data Competence College was hosted from March 27th to 28th, 2025 at the IT center of RWTH Aachen. Based on the concept of the Wissenschaftskolleg in Berlin or the Institute of Advanced Studies in Princeton, we invited two individuals with high data competence from different scientific fields (“Data Experts”) to participate as part of the data competence college: Prof. Sebastian Houben ( Hochschule Bonn-Rhein-Sieg , specialist in AI and autonomous systems) Dr. Moritz Wolter ( University of Bonn , expert in high performance computing and machine learning) For two days we aimed to create a space where not only local scientists, and especially early career researchers, learn from the data experts and each other regarding research data and methods but also data experts could inspire each other. The schedule included keynote presentations by all data experts, poster and group presentations by the participants, 1:1 sessions between data experts and early career researchers, as well as a method- and data-related workshop. We aimed foremost to create an environment in which everyone feels safe to give input, share their knowledge and learn from the other participants and experts.

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