Modeling Science and Technology Systems Through Massive Data Collections

The increase in research and development costs, the complexity of technology and the globalization of development have challenged both public and private research and development work. The adequacy of funding and the need to combine resources requires us to look at the innovation system more and more through the interactions of actors. Understanding the interactions requires that we be able to model increasingly complex relationships between the actors. As a result of the project, we better how the whole innovation system operates. The project looked at how we can measure technological developments by utilizing large datasets, combining quantitative and qualitative data, and better understanding the evolution of technologies.