In 2026, the project led by Oleksandr Kubatko—”Digital Transformations for Civil Protection and Post-War Economic Recovery Amidst Environmental and Social Challenges”—is nearing completion. Several tasks were accomplished during the year, notably the following:
*The project methodology for integrating “new economy” attributes (artificial intelligence, the Internet of Things, and digital platforms) into civil protection and post-war national economic recovery systems was refined based on the results of their pilot implementation and effectiveness monitoring. A sensitivity analysis of the proposed concept’s key parameters was conducted, which identified critical performance factors—such as the level of digital infrastructure, data accessibility, institutional capacity, and cybersecurity—and established the permissible ranges for variation in these parameters. Relationships were established between the levels of integration of AI, IoT, and digital platform technologies and the performance indicators of recovery processes, confirming non-linear effects and synergies resulting from the comprehensive implementation of digital solutions. It was demonstrated that the greatest impact is achieved through the integrated application of technologies within unified digital ecosystems, rather than through their fragmented use. The limitations and risks associated with implementing the proposed concept—specifically those linked to uneven regional digital development, insufficient digital competencies, and cyber threats—have been identified, enabling the refinement of project parameters and the enhanced adaptability of methodologies to Ukraine’s actual socio-economic conditions. The improved project methodologies and the results of sensitivity analysis substantiate management decisions regarding the adoption of new-economy attributes, minimize the risks associated with digital transformation, and increase the operational efficiency of civil protection systems and the post-war recovery of the national economy.
*A scientific-methodological approach for assessing and monitoring the effectiveness of digital transformation implementation—aimed at ensuring societal safety and Ukraine’s post-war recovery—has been tested and refined; this approach relies on aggregating three groups of dynamic chain indices: civil protection, post-war economic recovery, and digital infrastructure. The study involved developing and implementing calculations for chain indices, local sensitivity analysis, and scenario-based adjustments to weighting coefficients. The calculation of the baseline integral index for the final period (I = 1.333) and the modeling of four management scenarios—equilibrium, security-focused (I = 1.388), economy-oriented (I = 1.342), and infrastructure-focused (I = 1.268)—confirmed the resilience of the domestic digital ecosystem; the maintenance of positive dynamics (I > 1) across all scenarios demonstrates the systemic nature of digitalization amidst external threats and challenges. Sensitivity analysis using the OAT method (involving a 10% change in indicators) examined how individual factors influence the overall integral index. Within the civil protection group, expenditures on staff professional development and on upgrading alert systems have the greatest impact, identifying human capital development as the primary priority in the security-focused scenario. In the economic recovery block—which saw a rapid rise to 1.749 in 2022–2023, driven by crisis-induced innovations—the implementation of artificial intelligence and ERP/CRM systems, along with the recruitment of IT specialists, emerged as key drivers, whereas the role of social media proved minimal. Simultaneously, within the infrastructure block, decentralized energy was shown to be critical for resilience, with the share of solar and wind power plants demonstrating the most significant effect.
*A spatial model for regional recovery based on “Build Back Better” principles has been developed, integrating digital transformation packages tailored to the specific spatial, socio-economic, infrastructural, and institutional characteristics of the territories. Digital innovations have been systematized by functional area, and the principles for their modular combination, scaling, and phased implementation have been substantiated. A survey of territorial communities regarding the use of digital innovations in recovery processes revealed significant disparities in digital readiness across territories. Based on the survey results, the study justifies the need for a spatially differentiated and phased approach to formulating digital transformation packages, taking into account the communities’ digital and institutional capacity, technology costs, funding availability, and local needs. The methodological sequence for implementing the model has been refined to include spatial auditing, the creation of a priority map, the selection of pilot territories, the integration of GIS and digital dashboards, human capital development, and the monitoring and adaptation of management decisions. It is argued that the package-based approach ensures the integration of technological, managerial, and social solutions within a unified spatial logic of Build Back Better and lays the foundation for enhancing the resilience, adaptability, and long-term competitiveness of the regions.