Modern and precise measuring techniques and lab equipment evolve rapidly. Therefore digital technologies have deeply permeated the science system, scientific findings and discoveries have grown enormously and are spreading into many socio-economic levels. The codification and digitisation of scientific findings produce 1.9 million scholarly publications in the natural, technical and medical sciences every year. The complexity of newly created knowledge increases steadily. At the borders of established scientific fields new areas of knowledge open up that are strongly based on the findings from multiple disciplines.

New discoveries in these rising knowledge domains lend more importance to new, little known agents like scientists and scientific institutions. As a result, new networks develop which will be able to make important contributions to technological innovations in the near future. The dynamic aspects of the science and innovation system must be taken into consideration for the strategic alignment of science and business. The forecasting of technology dynamics is therefore highly interesting yet barely supported by methodology.

Project objective

The project aimed to improve the methods for forecasting the dynamics and interactions between research, technological development and innovation.

Empirical approach

The implementation of the project planned an interdisciplinary co-design approach which was realised through the cooperation of life sciences, economics and computer science as well as close collaboration with stakeholders from science and practice.

Project partners

  • Christian-Albrechts-University Kiel, Chair for Technology Management
  • ZB MED - Information Centre for Life Sciences

Funded by

Federal Ministry for Education and Research