Gå til hovedindhold

Paul Hün­er­mund

Associate Professor

Om

E-mail
Telefon
Office: +4538152873
Departments
Institut for Strategi og Innovation
Room: KIL/14.A-3.66
Emner
Statistik Driftsøkonomi Innovation Kunstig intelligens Maskinlæring Kvalitativ metode

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. 

juni 2025

AI-Driven Innovation Ecosystems for Complex NK Problem-Solving

Go to publication

marts 2025

The Choice of Control Variables in Empirical Management Research

How Causal Diagrams Can Inform the Decision

Go to publication

januar 2025

Causal Inference and Data Fusion in Econometrics

Go to publication