Research Center for Digital Transformations

Digital Transformations should take into account all aspects that have been identified in the concepts of e-Science, e-Infrastructures, Open Science, and Science 2.0 as issues to be considered in policy making. Different terms have been used to describe the development of new ways of conducting scientific activities with ICT (Information and Communication Technologies), incorporating previous topics and adding a new level. Digital scholarship is the new growth of scholarship and research, consisting of all the existing and new, constantly evolving opportunities provided by communication networks, the digital availability of scientific content, and new activities and interactions enabled by technologies.

Digital Transformations relies heavily on e-Infrastructures to:

  • develop and share specific ICT tools for scholarly tasks;
  • provide seamless online access to scholarly resources, including publications and data; and
  • provide and develop platforms and tools for large-scale collaboration without the need for physical proximity.

E-Infrastructures play an essential role in the implementation and expansion of strategies and practices of digital scholarship and practice at the international level and require the work of digital scholarship to advance the scientific development made possible by the technologies.

The dimensions openness of research and collaboration in research make it possible to involve society and citizens in scientific research and scientific discussions in new ways. Citizen participation can be part of global scientific initiatives that are also initiated by citizens and amateur scientists themselves. In this way, new ways of involving citizens in scientific processes become a new instrument and a new method for research itself.

Moreover, opening up access to and better communication of scientific knowledge is not only important for scientists, but also enables citizens to be better informed about scientific progress and thus to have more confidence in science-based decision-making.

Research Groups:

  • Digital Management and Work
  • Digital Entrepreneurship and Finance
  • Design Thinking and Social Innovation
  • Advanced Digital Reality

Members of the Research Center:

The following Professors and Senior Researchers from the German UDS, along with their scientific collaborators and PhD students, are affiliated with the Research Center for Digital Transformations

Explore Our Other Research Centers

Discover more innovative research taking place at German UDS

Extended Reality

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, Extended Reality is at the forefront of research and innovation, striving to unlock the full potential of immersive technologies for a wide range of applications, from education and healthcare to entertainment and industrial training.

Cybersecurity

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. Recognizing that technology alone cannot mitigate all threats, we work on innovative intelligence services and comprehensive education and training programs tailored for various audiences, from executives to regular end users. Economics of Security examines institutions and incentives in cyberspace. At the Research Center we analyze regulations that shape the market for cyber services and products, and look at the incentives of different groups of attackers. We develop a method for measuring the cost of an attack and to measure the impact of protection. Advanced Security Analytics leverages big data, machine learning, and AI to identify, detect, and respond cyber threats. By analyzing vast amounts of data in real time, we aim to detect threat that traditional security approaches often miss, providing a proactive defense mechanism against evolving and sophisticated cyber-attacks. At the Research Center for Cybersecurity, we are dedicated to researching and developing modern and advanced security approaches through innovative research, collaboration, and education, aiming to create a secure digital world.


Artificial Intelligence

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.

Learning Technologies

Learning Technologies refers to collecting, aggregating, analyzing and evaluating data about learners and their digitally supported learning contexts. This form of data analysis is motivated by technical, pedagogical, political and economic considerations. Evaluating learner data makes it possible to assess the effectiveness of digital learning formats and methods in order to better understand and optimize the overall learning process. Digital education enables personalised support for learners. The German University of Digital Science can use this directly to improve its services.