Data Cafe Aachen

The DKZ.2R team would like to annouce that our next Data Café will take place on June 24th at the University Library RWTH Aachen University!

This event is designed to provide informal consulting opportunities for students, PhD’s, and early PostDocs. We’ll be here to provide quick answers on topics like:

• How to structure your research files in a logical way
• Second opinions on your statistical analysis or data visualization
• What kinds of machine learning methods could be used for your project
• Getting started with research data management
• And anything else you might have questions about!

As a bonus, each consultation comes with a free refreshement!

Data Competence College

The first Data Competence College will be hosted from March 26th to 28th 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 have invited four individuals with high data competence from different scientific fields (“Data Experts”) as part of the data competence college.

As of now, Prof. Sebastian Houben from Hochschule Bonn-Rhein-Sieg (specialist in AI and autonomous systems), and Dr. Moritz Wolter from University of Bonn (expert in high performance computing and machine learning) have already confirmed their participation.

Hackathon DKZ.2RxQUADRIGA

On May 8th, the Data Literacy Centers DKZ.2R and QUADRIGA are teaming up for a hackathon on the topic of text-corrections using LLM’s.

This will be an internal event for members of the Data Literacy Centers DKZ.2R and QUADRIGA.

The Data Literacy Center QUADRIGA is primarily focused on creating high-quality educational resources for the digital humanities. In our hackathon we will work on a use casedealing with historical texts from the time of the spanish flu. Channelling our resources and competencies will not only help us to strengthen the connections between our two Data Literacy Centers but will also provide us with a use case on how to use LLMs for the post-correction of automatically recognized historical texts which can be used for training purposes such as Data Challenges and Workshops in a variety of different domains.