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http://elar.urfu.ru/handle/10995/75487
Название: | Budget optimization modelling for sustainable development of the university research: The example of Russia |
Авторы: | Bogomolova, A. Balk, I. Ivachenko, N. Terlyga, A. |
Дата публикации: | 2018 |
Издатель: | Institute of Physics Publishing |
Библиографическое описание: | 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. |
Аннотация: | 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. |
Ключевые слова: | 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 |
Условия доступа: | info:eu-repo/semantics/openAccess |
Конференция/семинар: | 2018 3rd Big Data Conference, BDC 2018 |
Дата конференции/семинара: | 14 September 2018 |
Идентификатор РИНЦ: | 38640536 |
Идентификатор SCOPUS: | 85058334572 |
Идентификатор WOS: | 000495570900012 |
Идентификатор PURE: | 8415094 |
ISSN: | 1742-6588 |
DOI: | 10.1088/1742-6596/1117/1/012012 |
Сведения о поддержке: | 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. |
Располагается в коллекциях: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
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10.1088-1742-6596-1117-1-012012.pdf | 1,11 MB | Adobe PDF | Просмотреть/Открыть |
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