1,721,063 research outputs found

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    La presentazione introduce il volume alcuni temi che scaturiscono dai risultati di un’indagine empirica sull’immaginario e la quotidianità degli adolescenti sammarinesi. Partendo dal tentativo di evitare di cadere nel rischio di una naturalizzazione della condizione giovanile, l’indagine mette in evidenza come siano sempre più le differenze piuttosto che le similitudini a comporre il volto della giovinezza. Il quadro complessivo che emerge dall’indagine riflette una realtà giovanile composita e frammentata, ma non priva di tratti di omogeneità rispetto a preferenze, passioni, modi di pensare e agire. L’indagine ha il merito di mettere in luce il controverso equilibrio tra innovazione e riproduzione di modelli in diversi ambiti della quotidianità dei giovani coinvolti (scuola, famiglia, questioni di genere, tempo libero, scienza e tecnologia, valori e orientamento al futuro)

    Social determinants of citations: An empirical analysis of UK economists

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    We investigate to what extent personal proximity and similarity in professional and political attributes, besides scientific factors, help explaining citations between economists. We do so by using a unique dataset of all academic economists based in the United Kingdom, created specifically for this study by merging RePEc data on works published in the past four decades with information collected by manually processing their curriculum vitae (CVs). We investigate directed citations within each pair of authors active in a same year, finding that social factors play an important role as predictors of citations. An author is systematically more likely to cite another economist not only if they work on similar topics, but most relevantly if they have been co-authors, faculty colleagues, alumni of the same Alma Mater, and even if they express similar political views. The implication is that citations do not signal the intrinsic quality of research outputs only, but they also capture social and professional connections. When citation counts are used to reward academics, economists have an incentive to join many and large professional communities as doing so would increase their predicted citations

    A 3d platform for energy data visualization of building assets

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    With an exemplary role, the improvement of energy efficiency in public buildings is in the forefront of the European policies for smart and sustainable growth. However, very often the sector is characterized by large and old constructions that may also be marked by historical and cultural value and whose energy consumption is hard to be reduced, due to specific constraints. In order to operate in this field, the definition of a solid knowledge framework on the built environment appears to be the only viable starting point. Therefore, the analysis of the delicate balance between conservation and transformation should be investigated with a multiscalar approach able to move from the city to the building elements. For this reason, it is extremely important to provide tools for monitoring and analysing the energy behaviour of the public building stocks to those actors that are involved in their management. The research here presented proposes a workflow to implement a web platform based on a three-dimensional GIS (Geographic Information System) interoperable with BIM (Building Information Modeling) and able to store, handle and display information on building assets and their energy consumption. With the aim of defining a repeatable model, the process starts from easily retrievable data on the built environment and uses standard data models and classification systems. The threedimensional model is built in a semi-automated way from the combination of the twodimensional GIS cartography of the municipality and from the point cloud resulting from a LiDAR (Light Detection And Ranging) national survey campaign. The set of thermal properties and energy data can be retrieved from the energy performance certificate of the buildings. In order to test and validate the process, an application on the building stock owned by the University of Pavia (Italy) is presented. Nine complexes distribute inside the historical centre of the city and heterogeneously dated from the X to the XX century are considered. After the definition of the model and its representation inside the web environment, an example of use is displayed with reference to a comparative energy analysis of different buildings
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