The rise of generative AI offers exciting opportunities to streamline the creation of training materials, but it also raises important questions about pedagogical quality and the evolving role of human expertise.
In this hands-on workshop, we will explore what the role of educators is—and should be—when using AI tools like ChatGPT to create instructional content. Participants will be guided...
Neo4j is a global leader in graph database technology and an excellent tool for organizing and managing learning content. Its flexible and intuitive data model makes it particularly well-suited for educational contexts, where information such as courses, topics, prerequisites, and user progress is deeply interconnected. Neo4j enables users to store and navigate learning resources in a way that...
- Presentation of the HMC mission and the key role training plays in it
- Challenge of different needs of target groups: Data stewards/professionals, data producers, infrastructures
- What formats do we offer to reach the different target groups
- Challenge: scaling the training
- Opportunities for cooperation
- Vision: certificate course
For smooth onboarding of new users to their HPC systems, the Jülich Supercomputing Centre (JSC) offers twice per year an "Introduction to Supercomputing at JSC – Theory & Practice" course. This course is the largest course in the JSC training curriculum in terms of number of participants with repeatedly over 100 registrations, and is held online to ensure the widest reach. A key component of...
As we navigate an increasingly data-driven world, advanced skills in using digital tools are mandatory in day-to-day life. This digitalization has also found its way into chemical research, where more and more electronic data are being generated. Handling and management of the collected data has become a considerable part of every researcher’s work. Scientists need to be trained in these...
SimpleVM is a self-service platform within the OpenStack-based de.NBI Cloud, designed to simplify access to computational resources through its customizable AAI integration. It serves different computational use-cases, including basic data processing, GPU-accelerated machine learning, and cluster computing, all secured by an intrusion detection and prevention system. By providing...
Reproducibility, Open Science and Documentation. The ideas are everywhere in science! In textbooks and tutorials we are repeatedly told to describe what we did so that somebody else can do it too. We try, and yet whenever anyone tries to reproduce our research, or we try to reproduce someone else’s, we find that it’s not really possible unless they contact us for details about our work, or we...
[FutuRSI][1] is a recently started project with the aim to establish a national research software institution facilitating collaboration between research institutions and domains, coordinating services and offerings, and empowering and connecting people developing research software across Germany. The portfolio shall also include offers related to teaching - aside of courses run by FutuRSI...
The increasing availability of Earth Observation (EO) data presents immense opportunities to modernize monitoring and reporting activities across public and government agencies in the environmental sector. Despite this potential, integration of EO into the workflows of municipal, regional and national administrations remains limited—constrained by a lack of time, varying technical proficiency,...
The FAIR data principles [1] are fifteen high-level guidelines aimed at improving the findability, accessibility, interoperability, and reusability of research data. Although the FAIR principles do not mandate specific technologies, they encourage the use of shared, accessible, and broadly applicable methods for representing and managing data. Research communities must have a fundamental...