Paul Hünermund
Associate Professor
Om
Primary research areas
I study how firms use new technologies to innovate and compete.
My research helps firms and policymakers understand how emerging technologies—such as artificial intelligence, machine learning, and other digital innovations—can create value, foster innovation, and support sustainable growth. I study how organizations can leverage these technologies while avoiding biases in decision-making, enabling more effective strategies in highly competitive environments.
I also examine how public R&D policies can be designed and evaluated to stimulate innovation and economic progress. This work provides actionable insights for decision-makers and has informed institutions such as the European Commission, the German Federal Ministry of Research and Education, and the OECD.
Beyond academia, I co-founded causalscience.org, a platform connecting industry and academia on causal data science. My ambition is to bridge rigorous research with real-world applications, contributing to economic growth, technological progress, and environmental sustainability.
Publications
See all publicationsjuni 2025
AI-Driven Innovation Ecosystems for Complex NK Problem-Solving
Yannick Bammens
Paul Hünermund, Associate Professor
marts 2025
The Choice of Control Variables in Empirical Management Research
How Causal Diagrams Can Inform the Decision
Go to publicationjanuar 2025
Causal Inference and Data Fusion in Econometrics
Paul Hünermund, Associate Professor
Elias Bareinboim