The purpose of this paper is to present the results of the recent Russian Science and Technology Foresight – a full-fledged study targeted at the identification of the most promising areas of science and technology (S&T) development in Russia towards 2030 to ensure the realisation of the nation’s competitive advantages. It was organised as a complex project involving dozens of organizations performing particular tasks under the overall coordination by the National Research University Higher School of Economics (HSE) and more than 2,000 experts in various S&T fields.
Its methodology embraced a set of qualitative and quantitative methods and combined technology push and market pool approaches. For seven S&T areas (information and communication technologies, biotechnologies, medicine and health, new materials and nanotechnologies, rational use of nature, transportation and space systems, energy efficiency and energy saving), the following types of results have been obtained: global trends, national challenges and windows of opportunities; new markets and niches; innovation products and services; prospective technologies and R&D fields (50 thematic groups, over 1,000 items for all areas); assessment of the country’s positions vis-à-vis global leaders; recommendations for S&T and innovation policies.
The paper covers prospective drivers of economic growth and relevant implications for anticipatory evidence-based policy; discussions of national challenges and building a common vision of the future among key stakeholders; the role of Foresight in particular as a communication platform that helps integrating stakeholder interests; strengthening existing and developing new capacities to increase national competitiveness; and to move up along existing and emerging global value chains.
The Russian S&T Foresight, being deeply integrated in the national policy, can be considered as an exemplar tool for “wiring up” the national innovation system (NIS) of an emerging economy with its specific features and problems facing large-scale challenges.
The research leading to these results has received funding from the Ministry of Education and Science of the Russian Federation in 2017 (project ID: RFMEFI60217X0020).
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