279 research outputs found
Preface
No full textThe COVID-19 pandemic is putting our society under incredible health, emotional, and economic stress. Facing its harmful effects and their uncertainty, the Executive Board of the Italian Statistical Society
SIS) and the Local Organizing Committee, to ensure the highest level of safety for members and delegates, deliberated to cancel the 50th Meeting of the Italian Statistical Society originally planned to be held in Pisa in June 2020 and to postpone the conference to June 2021. The Executive Board and the Local Organizing Committee continue to monitor closely the pandemic evolving situation, and keep the members of SIS and the researchers informed about the potential new dates for the next meeting. To give value to the work of those who prepared their presentation for the conference, the Program Committee decided to publish the volume Book of short papers - SIS 2020 despite the conference cancellation
Discussing the "big n problem
No full textWhen a large amount of spatial data is available computational and modeling challenges arise and they are often labeled as "big n problem". In this work we present a brief review of the literature. Then we focus on two approaches, respectively based on stochastic partial differential equations and integrated nested Laplace approximation, and on the tapering of the spatial covariance matrix. The fitting and predictive abilities of using the two methods in conjunction with Kriging interpolation are compared in a simulation study
Il ruolo dell’identità territoriale nei processi di sviluppo locale
No full textL'articolo intende proporre, sulla base di un approccio multidisciplinare, un'analisi del concetto di identità territoriale e dell'importanza che questa assume nei processi di sviluppo locale quale agente di territorializzazione e fattore di aggregazione territoriale
LA TUTELA DEGLI ACQUIRENTI DEGLI IMMOBILI DA COSTRUIRE (CONSIDERAZIONI SUL D.LGVO 20.6.2005 N. 122)
No full textPerspectives for community‐driven tourism in Cape Verde
No full textIn developing countries, most of the time, tourism is characterised by an exogenous variable.
Instead of reducing social issues, not only does this characteristic feature increase them but it also has
negative repercussions on a cultural level and on the environment, with complete disregard for the key
principles of sustainable development. Local communities are not usually able to interpret the potential
for tourism development since they do not share common core needs with it. Consequently, the underlying
needs of international tourism flows are neither interpreted nor understood. In this paper, the proposed
strategy is community‐based
tourism. Its core can be found in the integral mapping and management of
every single component of Cape Verdean tourism that is given in the most interesting areas in terms of
environment, landscape, and culture on the island. The development of identifying social and cultural traits
plays a fundamental role when considering the balance between the tourist’s needs and expectations, and
the needs of the host population
Psicosi giovanili: fattori di rischio, precursori, prodromi e caratteristiche psicopatologiche
No full textInternal migration, family formation and social stratification in Europe : A life course approach = Migrazioni interne, formazione familiare e stratificazione sociale in Europa attraverso un’analisi dei corsi di vita
No full textLe traiettorie di mobilità geografica generalmente intersecano altri percorsi di corsi di vita come l’istruzione, la carriera lavorativa e le scelte familiari. L’approccio del corso di vita pone l’attenzione sul fatto che eventi diversi non sono esperienze separate ma collegate tra loro. Concentrandosi su 11 paesi europei (Austria, Repubblica Ceca, Danimarca, Francia, Germania, Grecia, Italia, Polonia, Spagna, Svezia e Svizzera), questa analisi ha tre obiettivi principali: descrivere i modelli di vita sperimentati dai migranti interni, analizzare il processo di selezione sulle diverse traiettorie di migrazioni e identificare l’associazione con specifici risultati lavorativi e con le tratiettorie di mobilità sociale. Per raggiungere questi obiettivi, abbiamo applicato una Sequence and Cluster Analysis ai dati SHARELIFE (2008-09 e 2017). I risultati preliminari rivelano che i diversi percorsi migratori risultano caratterizzati da una marcata selettività (basata principalmente sull’istruzione), partciolarmentenei contesti dove la migrazione funziona bene come strategia di ascesa sociale. Inoltre, alcune specifiche traiettorie di vita risultnao associate a migliori opportunità in campo lavorativo.Geographical mobility trajectories generally intersects other life course patterns such as student career, job experiences and family choices. Life course approach emphasizes that different events are not separate experiences, but are linked to each other. Focusing on 11 European countries (Austria, Czech Republic, Denmark, France, Germany, Greece, Italy, Poland, Spain, Sweden, and Switzerland), this analysis has three main aims: describing the life patterns experienced by internal migrants, analyzing the selection into different migration trajectories, and identifying the association with different occupational achievements and social mobility pathways. To achieve these goals, we applied Sequence and Cluster Analysis to SHARELIFE data (2008-09 and 2017). Preliminary results reveal that different migration patterns are characterized by a marked selectivity of movers (mainly based on education), particularly in contexts where migration works well as an escalator strategy. In addition, specific life trajectories are associated to better occupational returns
University drop out and mobility in Italy. First evidences on first level degrees
No full textItalian university system presents a widespread inefficiency in the management of training processes which has – among others - a significant impact on the ratio between enrolled and graduated students. Dropout is an important issue which could be considered as an indicator of criticality of the training system. Using data from MIUR “Anagrafe Nazionale Studenti” from MIUR (ANS), the present work aims to measure the levels of dropout in Italy among a cohort of students (2011-2012) enrolled in a bachelor course (Level I) and followed for a period of 5 years. The analysis is carried out by means of Logistic 2-levels Model, to investigate the possible the determinants of the probability of student dropout, together with the role played by student mobility
- …
