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Science, Technology and Innovation Networks

Grant number: 16/09844-5
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): October 01, 2016
Effective date (End): September 30, 2018
Field of knowledge:Applied Social Sciences - Economics - Industrial Economics
Principal Investigator:Nicholas Spyridon Vonortas
Grantee:Bert-Erboul Clément
Home Institution: Instituto de Geociências (IG). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Associated research grant:13/50524-6 - Innovation systems, strategies and policies, AP.SPEC

Abstract

Important recent advancements in understanding the process of technological advancement and innovation and their role in the socio-economic environments of modern societies have resulted in significant improvements in the availability, breadth, and usefulness of science, technology and innovation (STI) indicators. Extensive experimentation in advanced countries has culminated in an ever richer set of statistical data and related theoretical concepts that allow analysts a more realistic chance to peer into the black box of innovation. The project consists in studying the formation of partnership and knowledge networks resulting from public funding programs to promote research and innovation. The analytical premise is that such networks have a long lasting impact by changing the behavior of participating organizations. The objective of the research is to (i) develop and apply quantitative analytical frameworks for the assessment of the characteristics and performance of networks supported by specific public R&D programs in the State of Sao Paulo and in Brazil; (ii) analyze knowledge and partnership networks in selected technology domains, concentrating on network nature, topology, time evolution and effectiveness. Knowledge networks refers to the virtual networks build around patents and publications. Partnership networks are actual networks build around strategic alliances, and (iii) supplement quantitative information with some qualitative information, and inter-organizational networks with inter-personal networks. The work will involve theoretical analysis on social network methodology, application to real public program data, and policy justification. (AU)