Research Centers of the German UDS
The scientific exchange and collaboration between the professors and scientists at the German University of Digital Science is organized in Research Centers, which are agile and temporary organizational units that provide an inspiring framework for the dynamic research activities of the researchers. Here, professors, research associates, postdocs and PhD students work together on their research projects and dissertations. Each Research Centre has its own PhD program, known as a Research School. The joint supervision of doctoral candidates by professors ensures an open and broad perspective from the outset when working on the research topic agreed with the doctoral supervisor.
Digital Transformations
The Research Center Digital Transformations investigates how technological innovation drives organizational change and societal transformation. Our research addresses the critical challenge facing organizations and entrepreneurs today: understanding and navigating the complex relationships between emerging technologies, management practices, and social innovation in an interconnected world.
Digital Management and Work
Digital Entrepreneurship and Finance
Design Thinking and Social Innovation
Advanced Digital Reality
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.
Multimodal Learning Technologies
Advanced Digital Reality
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.
Economics of Cybersecurity
Digital Education and Internet Technologies
Design Thinking Research and Neurodesign
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.
Statistical and Symbolic Artificial Intelligence
Digital Education and Internet Technologies
Operations Research
Industrial AI
Educational Technologies
Educational 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.
Educational Technologies and Social Learning
Multimodal Learning Technologies
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Digital Education and Internet Technologies