Knowledge, Technology and Complexity in Economic Growth

The application of complexity science tools to the study of society allows for the analysis of phenomena that have been hard to identify and analyze with more traditional tools, especially in the field of Economics, which in the absence of these tools has tended to work with relatively low dimensional representations of reality. But the increasing availability of more detailed information of social phenomena makes it particularly useful to use tools that can exploit this informational richness. This opens up fascinating new horizons on almost all fields of knowledge in the social sciences.
In economics, it is widely accepted that technology is the key driver of economic growth of countries, regions and cities. Technological progress allows for  the more efficient production of more and better goods and services, which is what prosperity depends on. 
However, the mechanisms through which technology is developed, adopted and used in production are complex. Their more detailed analysis can allow for new findings that could have important impacts in many areas of policy, including science policy, research and development, industrial policy, and both national and regional development policies. In fact, the concept of technology itself as well as the individual and social capabilities required for its development ca now be studied at a much more fine-grained level leading to potential contributions that may impact higher education, job creation and economic growth. Clearly, there are links between education, research and development, innovation and economic activity that are part of the process we aim to uncover.
The recent shift towards open innovation has resulted in increased flows of knowledge and new types of cooperation between education institutions, research organizations and business. Top corporate R&D investors worldwide lead the development of many emerging technologies. This is evident from an examination of the technology fields in which these companies intensified their inventive activities in the recent years and the contribution of top R&D investors to the overall development of these fields. Top corporate R&D investors accelerated their inventive activities in areas such as engines, automated driving systems, big data, artificial intelligence, 3-D printing and information and communication technologies.