The policy of museum free admission and the enhancement of cultural sites as a potential tool for the transition of territorial gathering spaces. – The choice to adopt museum policies that provide free admission to museums could impact the increase in visitors. It could generate social repercussions on the territory and act as a tool for transforming meeting spaces, with particular attention to some European realities. The study aims to analyze the correlation between free admission, frequency of visits to museums and propensity to return. The literature outlines an overview of the current situation of the economic, social and territorial impact of the museum sector and the use of the museum as a possible new aggregation space for the younger population. The methodology used is a qualitative em-pirical approach through interviews aimed at a sample of young people, aged between 18 and 26, identified among student groups. The sample survey will make it possible to establish, specifically, how much the income of the subjects interviewed and the difference in admission policies between the various European museums and territories considered can affect the degree of use of the museum facilities.

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.

Environmental sustainability among socio-economic variables of influence and geographical determinisms. An analysis of the Italian scenario at nuts-3 level. – The process of awareness of the value of environmental sustainability is currently changing, also due to the the media lever that has catalyzed its dynamics both individually and collectively ones. At a European level, particularly, with the von der Leyen presidency, the orientations based on a vision linked to the Green Deal seem to have strengthened even more, according to which Europe must aim to become the first continent with zero climate impact by 2050, at the same time stimulating the economy, improving people’s health and quality of life, taking care of nature and in the absence of geographical differentials. The real effectiveness of these actions, however, will only materialize where integrated approaches will be adopted able to improve other variables directly related to the propensity for environmental sustainability. The present contribution, through a multivariate regressive analysis, a clustering methodology and the related cartographic representation, therefore tries to understand which are, in the Italian scenario (Nuts 3 scale), these socio-economic variables of possible influence, in order to clarify the territorial differentials that can be detected in the domain of sustainability.

Scipione Breislak (1750-1826) was a Roman geologist and naturalist who studied the volcanic areas of central and southern Italy in the 1780s and 1790s. The Topografia fisica della Campania (1798) – written in Breislak’s stay in Naples where he worked as a teacher of Physics in the Military Academy of Nunziatella and was the Director of the factory alum of the Solfatara of Pozzuoli – shows the results of his investigations on the phenomena of the Vesuvius and the Phlegraean volcanic area. In this report Breislak explains his thoughts on the so called Grotta del Cane. These thoughts show us for the first time the directional concept of the Earth directional and his theory on volcanoes. By rejecting the hypothesis of iron sulphides, adopted few years before in the Essais mineralogiques sur la Solfatare de Pouzzole (1792), Breislak argues that the combustion of the petroleum is the cause of eruptions of Vesuvius. This assumption rules out the Huttonian idea of a correlation between the activities of volcanoes and the heat of the Earth.