Published October 27, 2026
| Version v1
Journal article
Open
IMPROVING THE EFFICIENCY OF FINANCIAL RESOURCE ALLOCATION FOR FUNDING CIVIL SOCIETY INSTITUTIONS THROUGH ARTIFICIAL INTELLIGENCE TECHNOLOGIES
Authors/Creators
- 1. Doctor of Economic Sciences, Associate Professor at the Department of General Ecology and Economics, Tashkent Region Branch of Astrakhan State Technical University
Description
This article examines how artificial intelligence can improve the efficiency of financial resource allocation to civil society institutions. Using official data from Uzbekistan's 2026 state grant competitions, the study assesses funding coverage, reviewer workload, and allocation risks. A human-in-the-loop model encompassing needs mapping, application screening, scoring support, monitoring, and outcome-based learning is proposed. Three practical recommendations focus on data management, governance, and phased implementation.
Files
EST-2026-00868.pdf
Additional details
Related works
- Is identical to
- https://econoscitech-integration-journal.uz/index.php/journal/article/view/868 (URL)
- Is part of
- 3060-5075 (ISSN)