The award ceremony of the annual Sber Science Prize took place in Moscow, the bank’s press service reported. The total prize fund of the prize was 60 million rubles.
It is stated that the award aims to support scientists working in Russia, conducting active research activities and opening new horizons for the development of science and technology. A total of 92 scientists were nominated this awards season, nominated by educational institutions, research organizations, technology companies and development institutions.
As Sbera explained, the lists of finalists in each nomination were created by scientific councils led by academics of the Russian Academy of Sciences after an independent review. The final decision on this year’s award winners was made by the award committee, co-chaired by Sberbank President and Chairman of the Board of Directors German Gref and Rector of the Skolkovo Institute of Science and Technology, Academician of the Russian Academy of Sciences Alexander Kuleshov. .
Thus, the winner of the nomination “Life Sciences” became Corresponding Member of the Russian Academy of Sciences, Doctor of Biological Sciences, Head of the Department of Entomology at the Faculty of Biology of Moscow State University. MV Lomonosov Alexey Polilov. The prize is awarded for fundamental research in the field of miniaturization of animals and the introduction of model objects to science.
The winner of the “Physical World” category was Academician of the Russian Academy of Sciences, Doctor of Chemical Sciences, Head of the Laboratory of Metal Complexes and Nanosized Catalysts of the Institute of Organic Chemistry named after him. ND Zelinsky RAS Valentin Ananikov. The prize was awarded for the discovery of the phenomenon of dynamic catalysis and the investigation of chemical reaction mechanisms.
In the nomination “Digital Universe” – named Academician of the Russian Academy of Sciences, Doctor of Physical and Mathematical Sciences, Director of the Institute of Computational Mathematics. GI Marchuk RAS Evgeniy Tyrtyshnikov. The award was given for the creation of new matrix and tensor methods for modeling and data compression for solving very large, high-dimensional problems.
Source: Gazeta
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