Science and technology development is a feature of the economic prosperity of a country, determining its role and position in the global market. As the foundation for technological security and independence from other states, it can solve economic and social problems of the highest importance.
Presently at the state level in Russia, emphasis is given to the importance of concentrating resources on developing the most important areas of science and technology, which is defining the need for reliable information on the current state of both the entire science and technology complex of the country and its individual segments, trends and factors that are impeding further progress. Obtaining this kind of data requires, first of all, creating a methodological base in order to analyze key indicators of science and technology development in the country, as well as in order to forecast their dynamic. In this regard, the activities of the Laboratory for Science and Technology Studies (LST) have special urgency.
LST conducts work aimed at a systematic description and typology of approaches to predictive research in science and technology, development and improvement of methods that can and should be used in research at the national, sectoral, regional and corporate levels.
No less urgent is the task of assessing the state of specific science and technology fields and areas. Their development will aid in finding answers to the global challenges of our time. Carrying out this task holds value not only for science, but also in terms of tools and applications, insofar as these efforts help toward establishing, in a timely manner and based on objective information, priorities for policy on science and technology and toward developing proposals for state measures for their support.
Defined by the urgency described above, key research areas of LST are the following:
- Development and improvement of new and existing tools and methods of science and technology research and policy-making (including the Foresight methodology, quantitative science and technology research methods and specific policy tools);
- Monitoring and assessment of science, technology and innovation policy (including identifying and analyzing global trends and weak signals, establishing priorities, creating policy tools, evaluating science, technology and innovation policy).
- Study of the mutual influence of global trends using big data analysis methods, 2022
- The new science, technology, and innovation agenda to address the grand challenges, 2022
- Challenges and opportunities for science, technology, and innovation during and after the COVID-19 pandemic, 2021
- Development of a methodological base for a comprehensive study of global trends using neural network language models, 2021
- The impact of science, technology, and innovation on structural transformation, 2020
- Development of new methods for global technology trends detection on the basis of intellectual big data analysis, 2020
- Tools for enhancing the efficiency of science, technology, and innovation foresight studies, 2019
- Development of big data analysis approaches for research of global technological trends, 2019
- Foresight tools for the study of digital transformation processes in the economy and the society, 2018
- Advancing forecasting methods for evidence-based science, technology and innovation policy-making, 2017
- Science, technology and innovation policy: development of instruments and assessing their efficiency, 2016
- Assessment of effectiveness, forecasting and determination of strategic priorities for R&D sphere, 2014
- Forming effective science, technology and innovation policy: methods and instruments, 2013, 2015
- Methods for measuring the efficiency of STI policy instruments, 2012
- Measuring the Development of Science and Technology: Theoretical and Applied Aspects, 2011
Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!
To be used only for spelling or punctuation mistakes.