Purpose
Foresight is frequently used to establish science and technology investment priorities and develop corresponding technology and innovation support programmes. In the light of technology and innovation policy, many individual Foresight studies are undertaken which are separate and little linked with the broader policy scope and ambition. This paper aims to look at an approach towards a consistent Foresight system which is linked closely to science, technology and innovation policy.
Design/methodology/approach
The paper provides an in-depth case study of the Russian Foresight system. The case study is based on desk research and extensive experience of the authors with the system.
Findings
Russia has developed a systematic approach towards organising Foresight which involves and serves multiple stakeholders, including government, ministries, federal and regional agencies, higher education institutions, public research institutes, state-owned companies and private businesses and a large range of associations. Under the auspicious of a dedicated commission, targeted Foresight is undertaken with clearly defined scope for each. The paper finds that the Russian system is unique in its organisational structure and in the integration of Foresight with science, technology and innovation policy measures.
Originality/value
The paper describes all facets of the Russian Foresight system which has not been done before. It also outlines the practical steps to further develop and leverage the system.
Topic analysis and forecasting for science, technology and innovation: Methodology with a case study focusing on big data research
