The Research Center Trustworthy Data Science and Security addresses the trustworthiness of intelligent systems in safety-critical applications. A unique, human-centered research approach covers the entire interdisciplinary research of trustworthy data analytics, explainable machine learning, and privacy-aware algorithms.
Get In TouchWe aim at human-centered research of trustworthy artificial intelligence
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 fields of Psychology & Social Sciences, Artificial Intelligence & Machine Learning, Data Science & Statistical Learning, and Cybersecurity & Privacy.
We empower humans to understand, control, and verify intelligent algorithms.
We develop self-explainable, accountable, and verifiable machine learning algorithms.
We infer uncertainty, causality, and representations hidden in complex data sets.
We preserve privacy, security and trust in algorithms for safety-critical systems.
Our new research center complements these strengths with 12 additional professors and research groups within a unique interdisciplinary workspace that enables research beyond the individual disciplines. Our interdisciplinary research incubator allows for multiplication of graduate training on a bigger scale via a graduate school covering more than 30 professors working in the field. Extending the international study programs of the three universities, we will establish new interdisciplinary study areas that enable the early education of students in trustworthy data science and security. We develop trustworthy technologies in collaboration with local society and industrial sectors including industry- and society-partners in teaching and research.
We hire 12 new professors on research areas of trustworthy data science and security.
We develop trustworthy technology in tight collaboration with industry and society.
We invest in collaborative research projects and our interdisciplinary graduate education.
We establisch new interdisciplinary education schemes both on MSc and PhD level.
We are looking forward to develop interdisciplinary, long-term, and sustainable research topics with you as PhD student, PostDoc, Professor or Associated Partner within our research center on trustworthy artificial intelligence.
We aim at trustworthy technology by design in the age of a digital society
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.
The goal of the Research Center Trustworthy Data Science and Security is clear: achieve more together.
We offer a unique opportunity to undertake excellent science on important, interdisciplinary and cutting-edge thematic areas in a modern, agile, collaborative environment. In a nutshell, we offer top-notch support from supervisors, early possibilities to conduct independent research, and connections to a strong interdisciplinary and international network. Rather than rigid, fixed study programs and course work, we advise students individually with the flexibility and opportunity to develop their own research directions, in an inspiring environment. The unique nature of the Research Center Graduate school builds on:
Best Education & Excellent Research
Our research center is part of the Research Alliance Ruhr aiming at "Best Education & Excellent Research" in collaboration with Ruhr University Bochum (RUB), TU Dortmund University (TUDO), and the University of Duisburg-Essen (UDE). Together we aim at the Ruhr area as one scientific region of excellence that unlocks a new level of interdisciplinary cooperation. Seven ERC-funded projects, one cluster of excellence, two collaborative research centers, five interdisciplinary graduate schools, and one federal competence center in machine learning are a testament to the strength of research in this area:
Beyond our excellence in research and education the Research Alliance Ruhr is hosted in a well-connected urban environment with best international flight and train infrastructure. With our families we enjoy the nature of the river Ruhr that named this picturesque area and its surrounding villages. With major support also for transit yourself and your family our joint Dual Career Network assists in job transition. Similarly, the three universities support our young scientist via the Research Academy Ruhr, the local research institutes (three Max-Planck-, two Fraunhofer- and two Leibniz-Institutes), as well as entrepreneurial and transfer institutes (e.g. TechnologieZentrumDortmund).
We apply and evaluate our research in a variety of safety critical domains
We collaborate with partner institutions in both applied and fundamental research
We expand our research on all levels, please contact us
We live interdisciplinary research in trustworthy science
