СИСТЕМА ІНФОРМАЦІЙНО-АНАЛІТИЧНОГО МОНІТОРИНГУ МІГРАЦІЙНИХ РИЗИКІВ НА МІСЦЕВОМУ РІВНІ: КОНЦЕПТУАЛЬНИЙ ПІДХІД І ПРАКТИЧНА ІМПЛЕМЕНТАЦІЯ ДЛЯ ГРОМАД УКРАЇНИ

Purpose. The purpose of the study is to identify mechanisms for establishing and operating an information and analytical system for monitoring migration risks at the local level, capable of providing timely assessment, forecasting, and response to migration challenges in the territorial communities of Ukraine. Methodology. The research methodology is based on the integration of administrative and sociological data sources, the application of statistical, spatial, and expert-analytical methods, as well as conducting an expert survey of local self-government representatives to determine key risks and factors of migration dynamics. Results. The results of the study include the identification of structural elements of the system, such as a data collection and verification module, an analytical and forecasting block, an interactive dashboard, and a communication–institutional component. The main organizational and technological prerequisites for their implementation in communities have been substantiated, including the interoperability of information databases, spatial and temporal disaggregation of indicators, and the introduction of digital analytical tools. The study also justifies the need to establish a unified digital monitoring platform integrating data from state statistics, sociological surveys, and local information systems, which will ensure interoperability, openness, and practical value of analytics for communities. Scientific novelty. The scientific novelty lies in the development of an integrated approach to constructing a local migration monitoring system that combines quantitative and qualitative analysis methods and is oriented toward the needs of local governance. Practical significance. The practical significance is determined by the possibility of applying the proposed mechanisms to enhance the analytical capacity of local self-government bodies, develop community migration profiles, plan integration measures for internally displaced persons and return migrants, and support decision-making in the field of human development during post-war recovery. Conclusions. The proposed approaches form a scientific and methodological basis for further development of migration security indicators, assessment of demographic resilience, forecasting re-migration scenarios, and improving human capital management policies within the post-war development system of Ukrainian regions and communities.