Highlights

The consortium partners meet for the first time face to face in Dortmund. Two days of intense workshops ensue.

The consolidated development pan for the Didactic Concept and the Use Case Data Preparation work-packages is now agreed upon. There is much homework…

The backbone of our platform is now ready. Wee will feed the beast in the coming months and years by adding and refining the project content!

As a result of the chosen methodology for identifying related Machine Learning teaching concepts from literature, hundreds of papers were identified as potentially related. The process of reading the associated abstracts and filtering out the non-pertinent papers is now finished! As it turns out, less than 10% of the publications are, in fact, useful to our endeavor.

The first data-set was offered by TRUMPF SE + Co. KG. Use-Case preparation and an exemplary solution pending. Many thanks to our industrial partners for this very interesting and highly relevant data-set!

The full text of the papers marked as relevant for the development of the MachineLearnAthon teaching concept is now read and systematized 🙂

July 27, 2023

At TU Dortmund University, the MachineLearnAthon team experienced a change in personnel. Anne Meyer and Alexandru Rinciog will be leaving TU Dortmund, and Lara Kuhlmann will join the project team. Having already worked with Michal Tkáč on previous projects, she is familiar with our collaboration. We thank Anne and Alexandru for their valuable contributions and wish them all the best for their future paths.

We are delighted to share that Anne Meyer has joined the Karlsruhe Institute of Technology (KIT) as a full professor. While she is leaving TU Dortmund University, she will remain connected to the MachineLearnAthon project as part of our advisory board. We warmly congratulate her on this achievement and look forward to continuing our collaboration in her new role.

In October 2023, the MachineLearnAthon consortium met in Košice for its project meeting hosted by the local partner university. The discussions focused on planning upcoming dissemination activities, organizing future multiplier events, and defining topics for the micro lectures. The meeting provided valuable input for shaping the project’s outreach strategy and educational content, strengthening collaboration among partners as MachineLearnAthon continued to grow.

October 10, 2023

In November 2023, the MachineLearnAthon project was represented by Lara Kuhlmann at an event hosted by the German National Agency DAAD in Bonn. The meeting brought together various Erasmus+ projects for exchange and best practice presentations. Lara enjoyed engaging discussions with other project representatives and gained valuable insights to further strengthen our own activities. The event proved to be both inspiring and helpful for future collaboration and project development.

The MachineLearnAthon team had an inspiring exchange with Prof. Frischemeier from the University of Münster (WWU). The discussion focused on similarities between our projects and explored opportunities for future cooperation. This meeting opened up new perspectives for collaboration and knowledge sharing, reinforcing the interdisciplinary spirit at the heart of MachineLearnAthon.

In January 2024, the MachineLearnAthon consortium submitted its joint paper “MachineLearnAthon: An Action-Oriented Machine Learning Didactic Concept” to arXiv. The publication introduces an innovative teaching format designed to make machine learning education more inclusive and practice-oriented across disciplines. At its core are ML challenges based on industrial datasets, guiding students through the entire pipeline—from data preparation to evaluation—while fostering data literacy and hands-on skills. The concept aims to support reliable and responsible application of machine learning methods in diverse academic contexts.

January 29, 2024