G
Giorgio Alleva
Researcher at Sapienza University of Rome
Publications - 17
Citations - 565
Giorgio Alleva is an academic researcher from Sapienza University of Rome. The author has contributed to research in topics: Pandemic & General equilibrium theory. The author has an hindex of 5, co-authored 17 publications receiving 504 citations. Previous affiliations of Giorgio Alleva include National Institute of Statistics.
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How to evaluate metacognitive functioning in psychotherapy? The metacognition assessment scale and its applications
Antonio Semerari,Antonino Carcione,Giancarlo Dimaggio,Maurizio Falcone,Giuseppe Nicolò,Michele Procacci,Giorgio Alleva +6 more
TL;DR: In this paper, the authors present a method and a scale for the evaluation of the metacognitive profiles of psychotherapy patients, which is based on the Metacognition Assessment Scale (MAS).
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Assessing problematic States in patients' narratives: the grid of problematic States.
Antonio Semerari,Antonino Carcione,Giancarlo Dimaggio,Maurizio Falcone,Giuseppe Nicolò,Michele Procacci,Giorgio Alleva,Erhard Mergenthaler +7 more
TL;DR: The authors demonstrated that the GPS could reliably assess disorganization and the development of stable construct clusters of thought themes, emotions, and somatic sensations.
Posted Content
A sample approach to the estimation of the critical parameters of the SARS-CoV-2 epidemics: an operational design with a focus on the Italian health system
TL;DR: A sample design to build up a continuous-time surveillance system for pandemic diffusion of the Covid-19 infection is proposed, thought having in mind the SAR-CoV-2 diffusion in Italy during the Spring of 2020.
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What drives environmental conflicts in coastal areas? An econometric approach
TL;DR: In this paper, an econometric analysis of environmental resource management in coastal metropolitan areas is presented, where environmental sustainability and housing land use are key determinants in mitigating conflicts in areas experiencing demographic, economic and climatic pressures.
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Mapping resource conflicts with probabilistic network models
TL;DR: In this paper, a probabilistic network model is built using historical data and a general taxonomy on world resource conflicts, which takes into account specific political, socio-economic and geographical features of the areas involved in resource conflicts.