Marcel Hebing

Marcel Hebing serves as Professor of Data Science at the Digital Business University of Applied Sciences (DBU), founder of Impact Distillery (mStats DS GmbH) and kaleidemoskop GmbH, and Associate Researcher at the Alexander von Humboldt Institute for Internet and Society (HIIG). Previously, he contributed to the Socio-Economic Panel (SOEP) at the German Institute for Economic Research (DIW Berlin) for seven years, developing critical data infrastructure for one of the world's largest social science datasets.

His interdisciplinary background in computer science, sociology, statistics, and business informatics underpins his research approach. This foundation enables unique perspectives on data quality, interpretation challenges, and machine learning applications in societal contexts.

Research Interests

Hebing's work centers on three interconnected pillars: (1) generating robust, application-oriented insights through classical statistics and machine learning; (2) building automated infrastructures for end-to-end data management and analysis; and (3) enforcing rigorous quality standards throughout analytics project lifecycles. His current projects address urgent societal challenges including the BMBF-funded InnoTwin (digital twin of German society), ESG forecasting models for sustainable corporate governance, normative AI frameworks, and exploratory modeling for evidence-based decision-making. These efforts consistently bridge technical data science with social science applications.

Publication Trends

His publication record reveals a decade-long evolution from foundational data infrastructure work (2012-2017) toward contemporary examinations of AI's impact on research systems. Early publications focused on metadata standards, panel data management, and the sociology of data sharing, while recent work investigates large language models' implications for science (2023) and sustainable impact frameworks. Across all periods, his research maintains strong interdisciplinary connections between computer science, social science, and science policy, with consistent emphasis on practical implementation and societal relevance.

Scientific Awards

No specific scientific awards, fellowships, or medals are documented in the available sources.

Grants and Advising

• Current Projects: Leading BMBF-funded InnoTwin initiative, ESG forecasting framework development, normative AI deployment systems, and exploratory modeling for robust decision-making (EMA)
• Advising: No information regarding formal student supervision or advisee relationships is provided in available materials

Labs and Teams

Through Impact Distillery (mStats DS GmbH), Hebing directs applied data science teams translating technical solutions into business and policy contexts. At HIIG, he contributes to the 'Knowledge & Society' research program examining digital transformations in knowledge production, while co-organizing initiatives like the Impact School workshops and Pop-Up Labs on inclusive AI. His leadership integrates academic research with entrepreneurial execution across multiple organizational contexts.