Subject. A scientific trend in the academic environment is a doctrine of the formation of an information field on grant activities. The wide use of various information sources and the lack of unified approach to information and methodological support to the economic analysis of grant utilization in universities require a thorough study of the issue and development of proposals for grouping and using the information on grants. Objectives. The study aims to develop a concept of information generation on grant activities in educational institutions and determine the content of information base during grant project implementation as the basis for economic analysis. Methods. We rely on reviews of relevant academic and periodical economic literature in the field of scientific and theoretical provisions and practical developments of information support to economic analysis and evaluation of research grant utilization efficiency. Methods employed include generalization, systematization, and grouping. Results. We developed a concept of the formation of information environment for grant process subjects. The paper presents our own definition of subjects of grant activity and recommends a structure of information space for grant projects, including individual elements and their content disclosure. Conclusions. The generation of information for conducting economic analysis and evaluating the effectiveness of grant activities conceptually depends on the data grouped by grant process subject. The information space is divided into separate components, their content enables to determine the key positions of economic analysis of grant funding.
Introduction. Organisational and methodological aspects of the examination of applications submitted for grants provided by Russian scientific foundations. Purpose. To determine the role of artificial intelligence in the system for the selection of grant applications. To study methods of project analysis currently used by experts and to develop an innovative algorithm for the verification of applications. Methods. The study used data from the Ministry of Finance of the Russian Federation, the National Audit Office, information provided by Russian scientific foundations (Russian Foundation for Basic Research and Russian Science Foundation), and other data related to the regulation of grant funding. The methods of the investigation included analysis, observation, generalisation, comparison, grouping, etc. Results. A critical analysis of the multicomponent structure of the application procedure was carried out. Methods for the expert support of projects were identified. A conceptual model of a hybrid method for assessing grant applications was developed. The completeness and versatility requirements to the inspected projects were determined. Conclusions. The hypothesis was confirmed that it is necessary to apply an innovative approach to expert examinations, which ensures the effectiveness of controlling applications at various stages of their life cycle.
This paper presents the results of a quantitative analysis of the contribution of grant activities to ensuring the sustainable development of higher education institutions in the Russian Federation. The authors consider sustainability in five aspects of activity: educational, research, international, financial and social. Results of higher educational institutions performance monitoring (2014-2022) formed the empirical basis of the study. In this research, we used the quantile regression model to identify the effects of inertial development and the effects associated with grant activities in the dynamics of universities performance indicators. We estimated the model parameters separately in each of the decile groups. Thus, we tested the central hypothesis of the study about the quantile heterogeneity of the sensitivity of university target indicators to the intensity and effectiveness of grant funding. This paper provides evidence of significant contributions the inertial nature of the development of universities, representing advanced development groups, into the sustainability of target performance indicators. However, in terms of sensitivity to the effectiveness and intensity of grant activities, they are inferior to universities from catch-up development groups in almost all aspects of their activities. The identified patterns of sensitivity to grant funding indicate a high potential for convergence ("catch-up development effect") in the higher education system of the Russian Federation. These patterns can improve the effectiveness of management decisions in higher education by focusing on growth points with high sensitivity to grant support.
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