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Mon Jul 27 2026 - Tue Jul 28 Past

Mon - Tue 27 Jul 2026 - 28 Jul 2026Past

LaTeX for Academic Publishing

Registration Closed

We are happy to announce another event of our well received Carpentries workshop “LaTeX for Academic Publishing”. This time the event will take place on July 27th and 28th at TU Braunschweig. The workshop will cover the basics of structuring and writing a LaTeX document, as well as including graphics, tables, managing references, and other common tasks.

Workshop material is available online and will be presented by instructors who will walk you through the steps and are available for questions throughout the event. The event is open for all participants affiliated with a research institution in Germany. No prior knowledge of LaTeX is required.

As always, this event is free of charge thanks to BMFTR funding!

If you are interested, you can register and find more information via this link.

All workshop material is also available online on GitHub: Link to repository

Title: An Introduction to Using LaTeX for Academic Publishing
When: July 28th (9am-5pm) and 29th (9am-3pm), 2026
Where: TU Braunschweig, Room P4.111
Format: This workshop in In-Person and no remote or online attendance options are currently planned.

Tags:

How To: Open Science

A. Mielke
Data , RDM , Open Science

Tired of Recreating someone else’s work? - How Open Science can accelerate research and overcome reinvention

Have you ever found papers on algorithms but their implementation is missing? Found an interesting analysis but there is no way to check the results, as you don’t have access to the data they were derived from? Ever thought you had a great idea for a project, just to find out a year later that you are not the only research group following that specific idea? Not having access to other people’s code, data, metrics or even their plans for research projects often leads to unnecessary delays and scientific redundancies. There is an easy solution to overcome (almost) all of these issues. It’s called Open Science! What is Open Science? The UNESCO defines Open Science as a construct of “movements and practices aiming to make multilingual scientific knowledge openly available, accessible and reusable for everyone, to increase scientific collaborations and sharing of information for the benefits of science and society, and to open the processes of scientific knowledge creation, evaluation and communication to societal actors […]”. To ensure that everyone has access to scientific knowledge and infrastructure, Open Science focuses on four main concepts.

Python on HPC clusters

As part of our “Trainings” work package, the DKZ.2R creates, curates and presents a variety of free trainings, seminars and courses. Our next offering will be a two-day Intermediate/Advanced Python on HPC Clusters course in collaboration with hpc.nrw. The Lecture part of the workshop will be streamed live from Bonn to different locations where participants are supported by on-site instructors in working on the exercises and in the case of questions. The DKZ.2R will support participants on-site in Aachen for the two-day event.

Introduction to Machine Learning with Python and Scikit-Learn

As part of our “Trainings” work package, the DKZ.2R creates, curates and presents a variety of free trainings, seminars and courses. Our next offering will be a one and a half day carpentries-style workshop on basic machine learning using python and scikit-learn, to be presented at RWTH Aachen University on 1st and 2nd of April, 2026. The workshop will cover the following topics:

What is Machine Learning / Why bother?
Supervised Methods (Regression / Classification)
Ensemble Methods
Unsupervised Methods (Clustering / Dimensionality Reduction)
Neural Networks
Ethics and Implications of Machine Learning

Workshop material is available online and will be presented by instructors who will walk you through the steps and are available for questions throughout the event. The official registration is already closed, for last-minute registrations please contact us via info@dkz2r.de.