Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/75487
Title: Budget optimization modelling for sustainable development of the university research: The example of Russia
Authors: Bogomolova, A.
Balk, I.
Ivachenko, N.
Terlyga, A.
Issue Date: 2018
Publisher: Institute of Physics Publishing
Citation: Budget optimization modelling for sustainable development of the university research: The example of Russia / A. Bogomolova, I. Balk, N. Ivachenko et al. // Journal of Physics: Conference Series. — 2018. — Vol. 1117. — Iss. 1. — 12012.
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.
Keywords: BUDGET CONTROL
LEARNING SYSTEMS
OPTIMIZATION
KEY RESOURCES
MACHINE LEARNING METHODS
MODEL USE
OPTIMIZATION MODELING
OPTIMIZATION MODELLING
STATISTICAL DATAS
SUDDEN CHANGE
UNIVERSITY RESEARCH
BIG DATA
URI: http://elar.urfu.ru/handle/10995/75487
Access: info:eu-repo/semantics/openAccess
Conference name: 2018 3rd Big Data Conference, BDC 2018
Conference date: 14 September 2018
RSCI ID: 38640536
SCOPUS ID: 85058334572
WOS ID: 000495570900012
PURE ID: 8415094
ISSN: 1742-6588
DOI: 10.1088/1742-6596/1117/1/012012
Sponsorship: The main parameter of our interest is Ri– total R&D Funding, which consists of Ci – R&D funding from external sources (industry, federal and others) and Ui – university own funds including Ui*– resources used in current periods and U’i– deferred resources for future periods. The latter forms a state variable Ii – investments. So, deferred resources can grow at β – return on investments rate: Ii+1 = Ii*(1+β) + U’i.
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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