Social Decision Support Based on a Digital Model
Abstract
This research is dedicated to the development and testing of an innovative discrete-event model in the field of social policy. The model presented focuses on optimizing the process of providing housing for orphans and children without parental care. The model implemented in the AnyLogic software product demonstrates how complex social systems can be analyzed and optimized using simulation modeling. Experimentation with the model allowed for the evaluation of various management strategies, including changes in funding levels and the allocation of resources to different categories of beneficiaries. This experiment allows us to understand how information technology can serve as a powerful tool in the hands of social policy makers and shows the possibilities for planning and implementing effective social programs. The model's suitability for practical application under real conditions was confirmed by its approval by the Social Policy Department of the Novosibirsk City Administration. The peculiarity of this work is an integrated approach to the analysis of the impact of various factors on the social system and the ability to predict the dynamics of changes in key indicators of the system under various conditions. This opens prospects for further research in the field of social modeling, including the integration of the model with dynamic demographic projections and real estate market analysis.