AI-Based Identification and Impact Analysis of the Knowledge Transfer between Science and Industry

AI-Based Identification and Impact Analysis of the Knowledge Transfer between Science and Industry

Client/Allowance

Federal Ministry of Education and Research (BMBF)

Period: 01.08.2022 – 31.07.2025

The project focuses on the large-scale identification of knowledge transfer channels on firm and university websites. It aims to create an inventory of the use of knowledge transfer channels by firms and universities in Germany with the help of machine learning methods and to analyze the success factors of knowledge transfer.

Unit
Economics of Innovation and Industrial Dynamics

Project members

Client/Allowance
Sponsor
Cooperation partner

Selected Publications

Kooperationen mit der Wissenschaft fördern neuartige Innovationen deutscher Unternehmen

Krieger, Bastian and Linus Strecke (2025), Kooperationen mit der Wissenschaft fördern neuartige Innovationen deutscher Unternehmen, ZEW policy brief No. 25-02, Mannheim

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Innovation Performance Through Collaborations with Public Research Organizations: Conducting and Signaling Mechanisms

Krieger, Bastian, Stefania Scrofani and Linus Strecke (2025), Innovation Performance Through Collaborations with Public Research Organizations: Conducting and Signaling Mechanisms, ZEW Discussion Paper No. 25-001, Mannheim.

To the publication
(PDF)