We envision a unique interdisciplinary research approach that covers the entire spectrum of research challenges in all facets of trustworthy and privacy-aware technologies. Meaningful progress in these areas requires a close collaboration between a variety of disciplines. Hence, our research center builds upon the strengths of the University Alliance Ruhr in the following fields.

Psychology & Social Sciences

We explore the (psychological) mechanisms of how humans interact with AI – focusing on how individuals understand the way that the system works and how they perceive, develop and maintain trust. Our work is empirically driven and encompasses qualitative and quantitative methods.

Portrait of Nicole Krämer

Psychology & Social Sciences

Prof. Nicole Krämer
University of Duisburg-Essen

Data Science & Statistical Learning

Our group aims to draw more conclusions from our data and better understand the processes and structures underlying data analytics. To accomplish this, we design methods and algorithms based on fundamental statistical concepts, including uncertainty quantification or causation.

Portrait of Markus Pauly

Mathematical Statistics and Applications in Industry

Prof. Markus Pauly
TU Dortmund

Cybersecurity & Privacy

Our group investigates the technical foundations of security and privacy in existing and future cyber systems. We analyze how information and data is secured in practical and widely-adopted applications and develop methods to make IT systems more secure, more usable and more trusted.
 

Portrait of Christof Paar

Cybersecurity & Privacy

Prof. Christof Paar
Ruhr University Bochum

Artificial Intelligence & Machine Learning

Our research covers data mining, machine learning, scalable algorithms and interactive exploration of high dimensional data, complex graphs, time series, and data streams. The research lays the foundation for autonomous and trustworthy systems.

Portrait of Emmanuel Müller

Data Science and Data Engineering

Prof. Emmanuel Müller
TU Dortmund

The level of digitalization is constantly increasing in many areas of our lives. Accompanying this are major scientific challenges for artificial intelligence, machine learning and cybersecurity: establishing trust and formally guaranteeing it. The Research Center Trustworthy Data Science and Security addresses this challenge at the crossroads between the development of digital technology and societal acceptance. Our goal is to develop trustworthy technology and to enable humans to understand this technology.

 

The interdisciplinary research focuses on long-term research questions that we can only in an interdisciplinary manner: How can people gain a better understanding of intelligent systems? How can we implement provable trust and security guarantees into machine learning? How shall we balance privacy and functionality?

 

To answer these and other open research questions we engage in joint research efforts between social sciences, data sciences, and cybersecurity. Thereby, the human as a decision maker in industry, academia and politics is at the heart of our ongoing and future research. These decision-makers must be enabled to gain trust in intelligent systems, and to understand and regulate them.

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