Roman Jurowetzki

Roman Jurowetzki

Associate Professor of Innovation & Applied Data Science

Associate Prof. Aalborg University Business School • Chief Scientist at CAISA • AI Denmark Project Lead

Combining innovation studies with data-driven methods to understand and govern emerging technologies, particularly artificial intelligence. Research focuses on developing socio-technical frameworks for responsible AI deployment and evaluation.

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Research Interests

  • Innovation dynamics of emerging technologies
  • Responsible AI evaluation & governance
  • Natural language processing & scientometrics
  • Data-driven policy analysis

Teaching & Outreach

  • Co-founder and coordinator of MSc Business Data Science at AAU
  • Social Data Science Semester at AAU
  • AI/NLP methods in Business, University of Strasbourg (Annual Guest Lecture)
  • Digital Innovation, UCAS/SDC Innovation Management Master
  • Collaborates with UNESCO and G20 on AI Ethics and AI Regulation

Current Projects

CAISA – National Centre for AI in Society
Role: Chief Scientist

Leading a new project on AI evaluation and quality benchmarking capabilities. We are actively seeking collaborators and will be hiring Postdoctoral researchers soon. Express your interest here.

Green Transition Policy Centre (GreenTraC)
Role: AAU Principal Investigator • Carlsberg Foundation

Developing a comprehensive theory of green transition policy across Scandinavia via a multi-source database using NLP and network analysis to map key actors.

AI Denmark
Role: Project Lead (AAU)

Supporting the deployment of artificial intelligence in Danish SMEs since 2021.

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Selected Publications

The private sector is hoarding AI researchers: what implications for science?
Jurowetzki, R., Hain, D. S., Wirtz, K., & Bianchini, S. (2025).
AI & Society, 1–8.
The hopes and fears of artificial intelligence: a comparative computational discourse analysis.
Elmholdt, K. T., Nielsen, J. A., Florczak, C. K., Jurowetzki, R., & Hain, D. (2025).
AI & Society, 1–18.
PatentSBERTa: A deep NLP-based hybrid model for patent distance and classification using augmented SBERT.
Bekamiri, H., Hain, D. S., & Jurowetzki, R. (2024).
Technological Forecasting and Social Change, 206, 123536.
Innovation dynamics in the age of artificial intelligence: introduction to the special issue.
Holm, J. R., Hain, D. S., Jurowetzki, R., & Lorenz, E. (2023).
Industry and Innovation, 30(9), 1141–1155.
A text-embedding-based approach to measuring patent-to-patent technological similarity.
Hain, D. S., Jurowetzki, R., Buchmann, T., & Wolf, P. (2022).
Technological Forecasting and Social Change, 177, 121559.
Combining innovation systems and global value chains for development: Towards a research agenda.
Jurowetzki, R., Lema, R., & Lundvall, B. Å. (2018).
The European Journal of Development Research, 30(3), 364–388.

Complete list available on Google Scholar

Contact

Email
roman@business.aau.dk
Office
Fibigerstræde 11, Room 103
DK-9220 Aalborg Øst, Denmark
Links
LinkedIn
Google Scholar