Elena Rovenskaya – Candidate of Physical and Mathematical Sciences, majoring in discrete mathematics and mathematical cybernetics, research fellow at the Faculty of Computational Mathematics and Cybernetics at Moscow State University named after M.V. Lomonosov and head of the Systems Analysis Development Program at the International Institute for Applied Systems Analysis (Austria). E. A. Rovenskaya has developed a number of mathematical models that make it possible to study patterns and trends in complex “man-nature-society” systems.
Research interests: modeling of complex socio-economic-ecological systems, decision-making theory, modeling of uncertainty.
Session
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Systems Analysis and Big Data
The data obtained during research on our planet is of great value to the scientific community. Their preservation, processing and analytics are a top priority. Data volumes in geosciences for the most part already meet the definition of Big Data. This opens up enormous opportunities for their system analysis. The scientific session is devoted to the collection, storage, analysis of data, as well as the underlying mathematical apparatus.