Project

AI-supported recording and impact analysis of knowledge transfer between science and industry

A shortcoming of national and international studies on knowledge transfer is on the one hand that so far the participating scientific institutions have only been partially recorded and on the other hand that the companies, which are participating in the transfer, and the different formats of knowledge transfer have not been fully captured. Although relatively complete data or reliable estimates of the magnitude of the income and expenditure generated in the context of knowledge transfer are available, this does not apply to the number and structure of the companies involved in the transfer. In addition, since the distribution and use of search engines the information base has changed drastically in the last 15 years in particular from the perspective of the companies and - at least in some areas such as biotechnology - the division of labor in fundamental research between companies and public research has been newly structured. Hence, the statements made in the widely distributed standard reference work by Schmoch, Licht and Reinhard (2000) have to be reconsidered against the background of the immense progress of the information and communication technologies.

Against this background, the project KIWI intends to make a systematic record of the knowledge transfer and its mutual impacts on economic and science actors.

 

  • Recording the knowledge transfer between universities and companies
  • Identifying the impacts of the knowledge transfer on universities and companies
  • Determining success factors and barriers of the knowledge and technology transfer

 

In particular, the project concentrates on the analysis of university research groups and companies with a mixed methods approach. This focusses on a quantitative measurability of the transfer. By using the websites of university research groups and companies, the (self-) selection that is typically inherent in survey-generated data becomes detectable and can thus be included in the analysis.

 

Duration

08.2022-07.2025

Clients

DLR Project Management Agency e.V.

Project Management Jülich (PTJ)

Partners

Center for European Economic Research (ZEW)