Trustworthy Data Science and Security
How can trustworthy intelligent systems in security-relevant applications be designed? This is what the Trustworthy Data Science and Security research center explores.
The Research Centre addresses the challenge of building trust in Artificial Intelligence, Machine Learning, and Cybersecurity. The focus is on trustworthy systems for safety-critical applications. A human-centred approach shapes the interdisciplinary research on trustworthy data analysis, explainable machine learning, and privacy-aware algorithms. The aim is to develop reliable systems and support people in understanding technology.
Prof. Dr. Emmanuel Müller, Director
"We need fundamental research on "Calibrated Trust". Machine learning should be equally perceived as trustworthy by humans but also ensure the necessary technical reliability. A balance between both is important for a sustainable, trustworthy AI!"
Research
The Centre for Trustworthy Data Science and Security envisions a unique interdisciplinary research approach that addresses the entire spectrum of challenges across all facets of trustworthy and privacy-aware technologies. Meaningful progress in these areas requires close collaboration across a variety of disciplines. Therefore, the Research Centre builds upon the strengths of the University Alliance Ruhr in the following fields.
Psychology and 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." Prof. Dr Nicole Krämer, University of Duisburg-Essen.
Data Science and 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." Prof. Dr. Markus Pauly, TU Dortmund University
Artificial Intelligence and 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." Prof. Dr. Emmanuel Müller, TU Dortmund University
Collaborative Projects and Graduate Training
The Research Center builds on a strong and long-standing foundation of individual research projects, collaborative projects, and interdisciplinary graduate education. 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:
- Cluster of Excellence 2092: Cyber Security in the Age of Large-Scale Adversaries (CaSa)
- SFB 876: Availability of information through analysis under resource constraints
- DFG-GRK 2624: Biostatistical Methods for High-Dimensional Data in Toxicology
- DFG-GRK 2193: Adaptive Intelligence of Factories in a Dynamic and Complex Environment
- DFG-GRK 2167: User-centered social media
- NRW-Fortschrittskolleg SecHuman: Brave New World: Security for People in Cyberspace
- NRW Research Training Group Dataninja: Trustworthy AI for Seamless Problem Solving
- Competence Center Machine Learning Rhine-Ruhr ML2R
Non-university Partners
The Research Center Trustworthy Data Science and Security cooperates with the following partners in the Ruhr metropolitan area:
Contact
Scientific Board
Prof. Dr. Emmanuel Müller
Director RC Trustworthy Data Science and Security
Prof. Dr. Nicole Krämer
Scientific Board RC Trustworthy Data Science and Security
Prof. Dr. Nils Köbis
Scientific Board RC Trustworthy Data Science and Security
Prof. Dr. Muhammad Bilal Zafar
Scientific Board RC Trustworthy Data Science and Security
Prof. Dr. Daniel Neider
Scientific Board RC Trustworthy Data Science and Security
Further Professorships
- Prof. Dr. Ivan Habernal, Ruhr University Bochum
- Prof. Alexander Marx, TU Dortmund University
- Prof. Dr. Christof Paar, MPI-SP and Ruhr-University Bochum
- Prof. Dr. Markus Pauly, TU Dortmund University
- Prof. Dr. Jatinder Singh, University of Duisburg-Essen
Managing Director
Dr Michel Lang
Managing Director RC Trustworthy Data Science and Security
