Long-Term Science and Technology Policy – Russian Priorities for 2030

By

Alexander Sokolov, National Research University Higher School of Economics - Institute for Statistical Studies and Economics of Knowledge

Alexander Chulok, National Research University Higher School of Economics - Institute for Statistical Studies and Economics of Knowledge

Vladimir Mesropyan, National Research University Higher School of Economics - Institute for Statistical Studies and Economics of Knowledge

October 9, 2013

Abstract      

Currently the framework conditions for science and technology and innovation (STI) policy have changed significantly in Russia: a system of technology forecasting has been established, which focuses on ensuring the future needs of the manufacturing sector of the national economy. This system was supposed to be the main part of the state strategy planning system which is currently being formed. Over the last decade dozens of science and technology forward-looking projects have been implemented, among which 3 cycles of long-term S&T Foresight stand out prominently. The Foresight was developed by the request of the Ministry of Education and Science of the Russian Federation. The development of the 3rd cycle of long-term Foresight includes both normative ("market pull") and research ("technology push") approaches. The project involved more than 2,000 experts and more than 200 organizations. Within the project a network of six sectoral Foresight centers was created on the basis of leading universities. The article describes the most important issues of future studies in Russia and presents the principles which formed the basis for the long-term science and technology (S&T) Foresight until 2030. The authors explore its position in the national technology Foresight system and the possibilities for the implementation of its results by the key stakeholders of the national innovation system and on the level of STI policy. Eventually Russian experience could be fairly interesting and useful for many other countries with similar socio-economic features and barrier.

Available at SSRN (Social Science Research Network):
http://ssrn.com/abstract=2338040