Research Centers of the German UDS

Digital Transformations should take into account all aspects mentioned in the concepts of e-Science, e-Infrastructures, Open Science and Science 2.0 as issues to be considered in policy making. The different terms refer to the development of new ways of conducting scientific activities using ICT, incorporating previous themes and adding a new layer.

Digital science is the new growth of science and research resulting from all the existing and new, constantly evolving possibilities offered by communication networks, the digital availability of scientific content and new activities and interactions enabled by technology.



Throughout history, humans have developed tools to support teaching and learning. Over the last century, educational technologies have become crucial in the context of distance education, where they serve as essential components of the learning process.

The field spans areas like learning analytics, mobile learning, gameful approaches, automated assessment, or peer evaluation. Generative AI opens new possibilities — such as automated feedback, intelligent avatars, and personalized content. At the Research Center for Educational Technologies, we explore both the promise and the pitfalls of these innovations. Our interdisciplinary work seeks to understand how emerging technologies can enhance learning while taking into account the ethical, pedagogical, and practical challenges they present; attempting to make the future of education desirable.

Artificial intelligence has gone from being an exotic subject of research to a driving force in the development of IT applications over the past 30 years. The focus of research is on what is known as machine learning, i.e., the computer is supposed to discover the solution strategy for a wide variety of problems from large amounts of data on its own. This is why today’s AI is developing hand-in-hand with strategies for storing and making available massive amounts of data.

Today, this is known as big data, i.e., data that is no longer collected locally, but in the cloud around the world. Deep learning is therefore much more than the use of multi-layer neural networks. Deep learning requires combining all of the above to create adaptive systems that can understand and translate language, or even drive autonomous vehicles.



The Research Center for Cybersecurity at German UDS focuses on three primary areas: Security Awareness, Economics of Security, and Advanced Security Analytics. Security Awareness addresses the human element of cybersecurity through innovative intelligence services and education and training programs for audiences ranging from executives to end users.

Economics of Security examines institutions, regulations, and incentives in cyberspace, including methods to measure the cost of attacks and the impact of protection. Advanced Security Analytics leverages big data, machine learning, and AI to identify, detect, and respond to cyber threats in real time. Through innovative research, collaboration, and education, the Research Center is dedicated to developing modern and advanced security approaches to help create a secure digital world.

The Research Center for Extended Reality at German UDS is a pioneering institution dedicated to exploring the vast possibilities of Virtual and Augmented Reality (VR/AR) technologies. As digital environments become increasingly integral to everyday life, Advanced Virtual Environment stands at the forefront of research and innovation, aiming to unlock the full potential of immersive technologies.

The Center focuses on developing and applying VR/AR solutions across a wide range of fields, including education, healthcare, entertainment, and industrial training, contributing to the advancement of immersive digital experiences.