SNSPA Digital Repository
Welcome to SNSPA Digital Repository, the institutional repository of the National University of Political Sciences and Public Administration.
The repository contains research produced by SNSPA academic staff, including journal articles, book chapters, books, working papers, conference papers, and more.
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Inteligența artificială după entuziasm: lecții de la AI WEEK Milano 2026
(SNSPA - Faculty of Public Administration, 2026-05-22) Vrabie, Catalin
"În acest articol discutăm despre Inteligența artificială după entuziasm: lecții de la AI WEEK Milano 2026 — o analiză critică a modului în care inteligența artificială trece de la entuziasm teoretic și experimentare la integrare reală în industrie și administrație. Pornind de la principalele teme și dezbateri prezentate la AI WEEK Milano 2026, explorăm transformările tehnologice, organizaționale și etice care modelează noua generație de sisteme AI. Ce explorăm în acest articol:
- Evoluția de la arhitectura clasică Transformer către modele avansate precum JEPA, concepute pentru a înțelege mai bine cauzalitatea și lumea fizică.
- De ce viitorul AI se mută de la simpla generare de text către construirea unor parteneri inteligenți capabili să opereze în medii complexe.
- Costurile sociale și de mediu ascunse ale modelului de dezvoltare bazat pe „scaling at all costs”.
- Munca umană invizibilă din spatele antrenării și întreținerii sistemelor AI de mari dimensiuni.
- De ce experții consideră tot mai mult AI-ul drept o formă de infrastructură cognitivă care necesită guvernanță și control strategic.
- Importanța restructurării proceselor organizaționale, nu doar implementarea unor noi aplicații software.
- Necesitatea unei guvernanțe centrate pe om, responsabilitate etică și control instituțional. Mesajul central: viitorul inteligenței artificiale nu va fi definit doar de puterea de calcul, ci de capacitatea noastră de a integra aceste sisteme într-un mod responsabil în societate, instituții și procesele decizionale cotidiene."
Smart borders and digital corridors for ensuring security in NATO-oriented border areas: the Romania–Moldova–Ukraine case
(SNSPA - Faculty of Public Administration, 2026-07-06) Vrabie, Catalin; Serdyuk, Sergey; Babin Anatoly; Bulgar, Hilarion
Objectives of the study: This paper examines how smart border concepts and digital corridor architectures can enhance border security, regional resilience, and sustainable mobility in the Romania–Moldova–Ukraine border region. It aims to demonstrate how geospatial and data interoperability standards aligned with NATO norms and the EU INSPIRE directive enable harmonized spatial data management supporting both defense and civilian applications. Prior Research: The paper builds on recent European initiatives in smart border management and geospatial data integration, including the EU Smart Borders package, INSPIRE implementation experiences, and NATO geospatial standards (NGMS, DIGEST). The study builds on previous work on geospatial interoperability and the application of digital twins in cross-border management. Methodology: A comparative case study method was used, combining spatial data analysis, policy review, and system architecture assessment. The study is based on publicly available datasets, defense geospatial frameworks, and documentation from pilot projects in the Danube region and the Eastern Partnership. Findings: The findings demonstrate that harmonized GIS infrastructures and cyber-resilient data exchange platforms can significantly improve situational awareness, operational coordination, and logistical efficiency. Digital corridors connecting border control nodes and regional transport infrastructure facilitate dual-use (military-civilian) mobility, enhance emergency response, and enable integrated monitoring of flows between jurisdictions. The analysis also places the Romania–Moldova–Ukraine corridor in the context of the broader Three Seas Initiative, highlighting its role in connecting the transport, energy, and digital networks of Central and Eastern Europe, as well as in enhancing the interoperability of NATO and EU infrastructures. Conclusions and Significance: The study offers practical recommendations for policymakers, defense planners, and regional authorities seeking to implement interoperable and secure border management systems compliant with NATO and EU standards. Scientific Value: The paper presents a strategic model for smart border management that integrates defense preparedness and sustainable development. It demonstrates how geospatial harmonization and digital interoperability can transform border regions into resilient, data-driven security and mobility ecosystems.
Solar energy production in EU + countries using space–time forecasting
(Springer Nature, 2026-01-09) Grigorescu, Adriana; Lincaru, Cristina; Pirciog Camelia Speranta
The need for renewable energy is underscored by the shift from fossil fuels without compromising economic growth. The European Union’s strategy for resilient energy recognizes solar energy as a crucial resource. In recent years, there has been a significant focus on evaluating renewable energy production, distribution, consumption, storage, and applications. One key aspect of this evaluation is exploring production capacity trends using forecasting models. Our study proposes a space–time forecasting approach using the Curve Fit Forecast tool integrated in ArcGIS Pro 3.3, applied to solar energy in 37 European locations based on 1990–2022 data. The model tested four curved types and identified exponential growth patterns in 54% of cases, with consistent upward trends confirmed through RMSE validation. Outlier detection and 3D spatial–temporal visualization provide diagnostic insight into regional disparities and transformation regimes. This digitally enabled, geostatistical method aligns with the EU’s data-driven energy transition agenda, offering a scalable and interpretable tool for policymakers and planners.
Demographic Dependency and the Future of the European Workforce: A Spatial–Temporal Forecasting Approach
(MDPI, 2026-05-01) Lincaru, Cristina; Grigorescu Adriana; Pirciog Camelia Speranta; Tudose Gabriela
This research paper examines the spatial and time variation of demographic dependency in Europe in a 30-year horizon of the evolution of the demographic dividend regarding the economic dependency ratio (ADR1). We used the Curve Fit Forecast tool to estimate the trends of ADR1 in each of the EU Member States using data on Eurostat projections and a sophisticated geostatistical analysis tool developed in ArcGIS Pro 3.2.2. The findings indicate that the dependency in all countries has increased significantly in a statistically significant manner as the Gompertz function has appeared as the best curve in a third of the cases. It is an S-shaped asymptotic behaviour of this function that effectively describes the nonlinear patterns of acceleration and saturation of demographic ageing. As indicated in the analysis, the European regions are increasingly moving apart, with the southern and eastern nations such as Romania demonstrating the most alarming decline in ADR1. These trends highlight the need to reform labour market policies and social protection mechanisms to an ageing population. The paper combines the curve-fitting, descriptive statistics (median, skewness, interquartile range (IQR)) with time clustering (value, correlation, and Fourier) to provide an effective, replicable approach to early warning and policy prioritisation. Overall, the results highlight the importance of integrating predictive spatial modelling and demographic economics to support anticipatory and evidence-based policy decisions. The proposed approach proves to be a robust and transferable framework, applicable to a wide range of socio-economic phenomena characterised by inertia and structural change. Future research should extend the analysis to subnational levels, incorporate additional explanatory variables, and develop scenario-based simulations, including multivariate Gompertz-type models, to further enhance both predictive accuracy and policy relevance in the context of emerging structural labour scarcity.
Green Jobs in Europe: Contemporary Developments and Future Outlook
(Futurity of Social Science, 2026-05-08) Grigorescu, Adriana; Lungu Diana-Cristina
The rise of green jobs has become a pivotal component of Europe’s transition to a sustainable, low-carbon economy. As the demand for environmentally sustainable practices grows, green employment represents a significant opportunity for economic growth, job creation, and social equity. This paper explores the role of green jobs in the European labour market, focusing on contemporary developments and future trends. It examines the European-level policies and strategies that promote the growth of green employment, including government frameworks, private-sector involvement, and the role of green human resource management. The article also assesses the emerging sectors driving the demand for green jobs and the growing need for green skills across industries. Additionally, the paper addresses the challenges and research gaps in green job policies, including their impacts on social inclusivity, regional disparities, and long-term economic effects. As green jobs become increasingly central to Europe’s sustainability goals, understanding these dynamics is critical for shaping effective policies and strategies. The article concludes by emphasising the need for continued research at the intersection of green employment, sustainability, and labour market policies to ensure long-term socio-economic development and prepare the workforce for future challenges.