Research Center Trustworthy Data Science and Security

What Research Center Trustworthy Data Science and Security does

Research Center Trustworthy Data Science and Security (RC Trust) is an interdisciplinary university research center operated by TU Dortmund University within the University Alliance Ruhr, a strategic partnership between Ruhr University Bochum, TU Dortmund University, and the University of Duisburg-Essen. It is supervised by the Ministry of Culture and Science of North Rhine-Westphalia and funded through public research grants, university resources, and international research programs — it does not operate a commercial revenue model. The center's mission is to build trust in artificial intelligence, machine learning, and cybersecurity through a human-centered, interdisciplinary approach spanning trustworthy data analytics, explainable machine learning, privacy-aware algorithms, causal discovery, formal verification of neural networks, and trustworthy human language technologies. Its core output is research rather than commercial products: methodological frameworks such as ConformaDecompose (calibration-localized uncertainty) and the SkewD skewness-robust causal discovery method, peer-reviewed publications in top venues (ICML, ACL, XAI, NeurIPS), and trained researchers.

The center is staffed by a growing faculty of professors across causality (Alexander Marx), verification and formal guarantees of ML (Daniel Neider), trustworthy human language technologies (Ivan Habernal), AI and society (Muhammad Bilal Zafar), human-AI interaction (Sven Mayer), mathematical statistics (Markus Pauly), inclusive technology (Giulia Barbareschi), and Trust, AI and Recommendation (Dietmar Jannach), supported by Young Investigator Groups and the INTITEC group on intimacy and technology. Its "customers" are not commercial buyers but rather graduate students and doctoral researchers (32 PhDs in its graduate school), academic collaborators across the University Alliance Ruhr and international partners, and industry/societal partners engaged through twice-yearly citizen science and industry forums. The center sells its work through academic channels — publications, conferences, open-source software, and collaborative research — rather than paid product distribution.

Name

Research Center Trustworthy Data Science and Security

Legal name

TU Dortmund University (operates Research Center Trustworthy Data Science and Security)

Website

https://rc-trust.ai

Company type

Private

Operating status

Operating

Headcount range

11–50 employees

Short description

RC Trust is a publicly funded university research center in the University Alliance Ruhr that conducts interdisciplinary research on trustworthy AI, explainable machine learning, privacy-aware algorithms, and formal verification of neural networks, serving graduate students, academic collaborators, and industry partners.

Ownership category

akta.pro rank

Product category

Academic Research in Trustworthy AI and Cybersecurity

NAICS

Scientific Research and Development Services (5417), Research and Development in the Physical, Engineering, and Life Sciences (54171), Research and Development in the Social Sciences and Humanities (541720)

akta.pro primary industry

Ethical Data Sourcing, Consent & Data Provenance (HDAAAMAI)

akta.pro secondary industry

Comprehensive Doctoral Research Universities (Multi-Disciplinary) (EDAHABAA)

Keywords

• Trustworthy AI research
• Machine learning research
• Cybersecurity research
• Explainable AI methods
• Privacy-aware algorithms

Headquarters

HQ city

Dortmund

HQ country

Germany

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure

Distribution channels1 record

Marketing channels5 records

Core offering

The Research Center Trustworthy Data Science and Security is a publicly funded university research center that conducts interdisciplinary research at the intersection of trustworthy AI, machine learning, cybersecurity, and human-centered design. It operates a graduate school with 32 PhDs, plans 12 professorships by 2025, and pursues research in explainable machine learning, privacy-aware algorithms, causal discovery, formal verification of neural networks, trustworthy human language technologies, and AI for safety-critical applications in chemistry, healthcare, and energy. Its deliverables are peer-reviewed publications, open-source research methods, trained researchers, and collaborative projects with academic and industry partners.

Product overview

The Research Center Trustworthy Data Science and Security is a university research center (not a commercial product company) focused on interdisciplinary research at the intersection of AI, machine learning, cybersecurity, and data science. It operates as part of the University Alliance Ruhr, comprising Ruhr University Bochum, TU Dortmund University, and the University of Duisburg-Essen. The center conducts fundamental theoretical research and practical applications through multiple research groups, a graduate school with 32 PhDs, and various young investigator groups. It does not appear to offer commercial products or services in the traditional sense; rather, it produces research, publications, and trains researchers in trustworthy AI, explainable ML, privacy-aware algorithms, and cybersecurity.

Differentiator

Problem solved

Functional benefit

Products and services

• RC Trust Graduate School Interdisciplinary graduate research training program with 32 PhDs, educating doctoral researchers in machine learning, artificial intelligence, statistics, computer science, and psychology through structured training and supervised research.
• Research Explorer Ruhr Program Two-week international research exchange program hosted by RC Trust that brings early-career researchers from 18 countries to the Ruhr area for interdisciplinary collaboration in trustworthy data science and security.
• Internship Program Internship opportunities for students and early-career researchers to participate in interdisciplinary research projects spanning computer science, statistics, and psychology at RC Trust.
• Citizen Science Events and Industry Discussion Forums Public engagement events held at least twice a year for knowledge transfer with industry, local government, healthcare, and the public, communicating scientific findings and discussing them with society.

Quantifiable outcome

• ConformaDecompose reduced prediction interval width by approximately 6.4% in used-car price prediction case study

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability10 records

Feature2 records

Partnerships

15 partnerships are on record, tiered core and minor.

• Center for Advanced Internet Studies (CAIS)coreStrategic or Co-development PartnerInterdisciplinary research institute studying societal opportunities and challenges of digital transformation, bringing together researchers from different disciplines to analyze the impact of internet and digital technologies on society.
• CASA – Cyber Security in the Age of Large-Scale AdversariescoreStrategic or Co-development PartnerGermany's largest research cluster for cybersecurity investigating how digital systems can be protected against large-scale and adaptive attacks, bringing together experts from computer science and related disciplines.
• dataninjaminorStrategic or Co-development PartnerData science and artificial intelligence company specializing in data-driven solutions and advanced analytics, supporting organizations in transforming data into actionable insights.
• DoDaS - Center for Data Science & SimulationcoreStrategic or Co-development PartnerInterdisciplinary research center at TU Dortmund University, supported by various faculties and complemented by the Rectorate, thriving on collaborative activities of researchers and lecturers.
• ellis - European Laboratory for Learning and Intelligent SystemscoreStrategic or Co-development PartnerPan-European AI network of excellence aiming to secure lasting international leadership of AI made in Europe by connecting top researchers and creating a multi-centric AI research laboratory.
• ellis Unit NRWcoreStrategic or Co-development PartnerResearch unit of the European Laboratory for Learning and Intelligent Systems focused on establishing an NRW-wide, world-class ecosystem for ML research and industry.
• Federal Institute for Occupational Safety and Health (BAuA)minorStrategic or Co-development PartnerConducts research to promote safe and healthy working environments, focusing on understanding and improving working conditions to protect employees and support sustainable work design.
• Fraunhofer Institute for Material Flow and LogisticsminorStrategic or Co-development PartnerAdvises companies of all industries and sizes on material flow and logistics questions.
• Fraunhofer Institute for Software and Systems Engineering ISSTminorStrategic or Co-development PartnerWorks with companies to identify strategic value of their data and make it usable, from data preparation to development of new business models, offering complete system solutions.
• GRK 2624 - Research Training GroupcoreStrategic or Co-development PartnerDedicated to educating doctoral researchers in machine learning and artificial intelligence, combining advanced research with structured training in interdisciplinary AI topics.
• HGI - Horst Görtz Institute for IT SecuritycoreStrategic or Co-development PartnerOne of Europe's leading research institutes in cybersecurity at Ruhr University Bochum, investigating foundations of secure digital systems covering cryptography, system security, privacy, and trustworthy computing.
• Lamarr Institute for Machine Learning and Artificial IntelligencecoreStrategic or Co-development PartnerOne of Germany's leading AI research centers developing innovative machine learning methods and trustworthy AI solutions for scientific and industrial applications.
• Leibniz Research Centre for Working Environment and Human Factors (ifado)minorStrategic or Co-development PartnerInvestigates demands, potentials, and risks of modern work life from various perspectives ranging from single cells to entire individuals and groups in their working environment.
• Max Planck Institute for Security and PrivacycoreStrategic or Co-development PartnerStudies and develops technical foundations and interdisciplinary aspects of security and privacy, serving as a center of excellence for basic research and training of next-generation scientific leaders.
• Transregio 391coreStrategic or Co-development PartnerCollaborative Research Center conducting fundamental research on machine learning and intelligent data analysis, working on theoretical foundations and reliable learning methods for complex data-driven systems.

Scale indicators5 records

Recent moves6 records

Expansion highlights6 records

Broad incumbents

• MIT CSAIL: Premier US academic AI and computer-science research laboratory. Comparable as a university-affiliated interdisciplinary AI research center publishing at top venues, though much larger in scale and based in a global AI hub.
• Stanford Institute for Human-Centered Artificial Intelligence (HAI): Stanford institute focused on human-centered, trustworthy, and ethical AI research across disciplines. Highly comparable in mission emphasis on trustworthiness, human factors, and interdisciplinary AI governance, though operating in a different funding environment.
• Fraunhofer Institute for Software and Systems Engineering ISST: Large applied-research institute within the Fraunhofer Society focused on data strategy, software systems, and digital business models. Comparable as a publicly funded German R&D partner with applied-industry engagement, though broader in scope than RC Trust.

Emerging players

• The Alan Turing Institute: UK's national institute for data science and AI, publicly funded and university-hosted. Comparable as a national-level interdisciplinary AI research institute with strong emphasis on trustworthy and applied AI.
• Berkeley Center for Long-Term Cybersecurity (CLTC): UC Berkeley research center addressing the future of cybersecurity, including trustworthy AI and societal implications. Comparable as a university-hosted interdisciplinary center tackling trustworthiness in safety-critical systems.

Direct peers

• CASA — Cyber Security in the Age of Large-Scale Adversaries: Germany's largest research cluster for cybersecurity, hosted at Ruhr University Bochum. Comparable as a publicly funded cybersecurity research consortium with overlapping investigators and partner-network dynamics.
• Lamarr Institute for Machine Learning and Artificial Intelligence: One of Germany's leading publicly funded AI research centers, jointly operated by TU Dortmund, University of Bonn, and Fraunhofer IAIS. Highly comparable to RC Trust in mission (trustworthy and applied ML), funding model (German public R&D), and partner ecosystem.
• ELLIS — European Laboratory for Learning and Intelligent Systems: Pan-European AI network of excellence connecting top researchers across multiple university units to secure European AI leadership. RC Trust is an active partner via ELLIS Unit NRW, making ELLIS a direct peer in mission, talent pool, and grant-funded research model.
• HGI — Horst Görtz Institute for IT Security: One of Europe's leading academic cybersecurity research institutes at Ruhr University Bochum. Comparable as a partner university institute within UA Ruhr covering cryptography, system security, privacy, and trustworthy computing.
• Max Planck Institute for Security and Privacy: Bochum-based Max Planck institute focused on foundations of security and privacy, including trustworthy computing. Closely comparable as a publicly funded German research center operating in the same geographic and topical space as RC Trust.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/rc-trust

Revenue estimate

Valuation estimate

Number of profiles

Profiles9 records

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about Research Center Trustworthy Data Science and Security