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.