In piena conformità alla dantesca citazione “Nomina sunt consequen-tia rerum”, il lavoro di Maria Giuseppina Lucia, Simona Epasto, Monica Maglio e Stefano Valdemarin si presenta ricco di implicazioni e di signifi-cati già a partire dal macro-titolo “Geografia finanziaria”.

Artificial Intelligence for Sustainable Water Resources Management. Case Study: Gorgovivo, Ancona. – The urgent need to address challenges related to the sustainable management of water resources has prompted the scientific and technological community to explore innovative solutions that can make a significant contribution to achieving the goals and sustainability strategies of the UN’s 2030 Agenda. In this context, Artificial Intelligence (AI) emerges as a powerful ally, offering advanced tools for the collection, analysis, and management of water data efficiently and effectively. Using machine learning algorithms and neural networks, AI enables accurate prediction of water demand, facilitating optimal planning and allocation of resources. Moreover, the integration of smart sensors and monitoring systems allows real-time control of water resources, improving the response capacity to environmental variations and emergencies.
The purpose of the research is to examine how AI can optimize water treatment and distribution processes, reducing waste and enhancing the energy efficiency of water facilities; the use of predictive models based on historical data and environmental variables allows for proactive management of resources, thus contributing to their conservation and long-term sustainability. In this perspective, an AI-based system will be adopted to predict the groundwater levels of the Gorgovivo spring (AN), using historical data from the spring itself, the level of the Esino river, and rainfall stations. The proposed AI model is based on the Prophet predictive algorithm, specifically designed to manage time series forecasting applications; as adapted by us, the predictive model was evaluated using the mean absolute error (MAE), mean squared error (MSE), and correlation criteria.

The “renewed” wars of the post-bipolar period and the “new peace”. Analysis and perspectives to highlight the lack of logical, spatial and temporal interruption of today’s phenomena of belligerence. – Since 1989, the global system seems completely changed. The paradoxical equilibrium of the ideological division of the CW faded away, giving way to a chaotic and complex system characterized by the change of the localization of conflicts, the new rules of war and the end of military order. Through the analysis of the debate on the wars and the investigation of existing conflicts, the aim is to highlight how the demise of the established relationship between territory, sovereignty and monopoly of violence, led to a renewal of conflicts and wars, characterized, however, by the persistence of the same logic of power. This does not imply any solution of continuity with the past, but an adaptive evolution that ensures survival; therefore, it is not about new wars but only renewed ones. At the same time, it is highlighted how the boundary between war and peace has now become so weak that it can be considered as a real “contamination” between them.