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Journal of Physics: Conference SeriesVolume 1117, Issue 1, 27 November 2018, Article number 0120122018 3rd Big Data Conference, BDC 2018; Moscow; Russian Federation; 14 September 2018 through ; Code 142767

Budget optimization modelling for sustainable development of the university research: The example of Russia(Conference Paper)(Open Access)

  • Bogomolova, A.,
  • Balk, I.,
  • Ivachenko, N.,
  • Terlyga, A.
  Save all to author list
  • aLomonosov Moscow State University, GSP-1, Leninskie Gory, Moscow, 119991, Russian Federation
  • bGlobal Innovation Labs LLC, 258 Harvard Str #352, Brookline, MA 02446, United States
  • cUral Federal University after the First President of Russia B.N. Eltsin, 61 Komsomolskaya st., Ekaterinburg, Russian Federation

Abstract

Russian universities have undergone many changes in recent years, including increased attention to innovative development and transformation of the main function of universities. In addition to education function, universities now should cooperate with the market and create the infrastructure for the successful development of R&D. One of the main resources for this is financing, but it is often in deficiency. Moreover, sudden economic shocks add instability to the situation. This problem is acute for research projects which often last for several years and react sharply to sudden changes in the key resources. This article proposes an optimization model for the management of universities' own funds to ensure sustainable and predictable R&D funding. The model uses mathematical and machine learning methods. The model is applied to statistical data from Russian universities, as well as to one particular Russian university. © Published under licence by IOP Publishing Ltd.

Indexed keywords

Engineering controlled terms:Budget controlLearning systemsOptimization
Engineering uncontrolled termsKey resourcesMachine learning methodsModel useOptimization modelingOptimization modellingStatistical datasSudden changeUniversity research
Engineering main heading:Big data
  • ISSN: 17426588
  • Source Type: Conference Proceeding
  • Original language: English
  • DOI: 10.1088/1742-6596/1117/1/012012
  • Document Type: Conference Paper
  • Publisher: Institute of Physics Publishing


© Copyright 2019 Elsevier B.V., All rights reserved.

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