University of Trento

About: University of Trento is a education organization based out in Trento, Italy. It is known for research contribution in the topics: Population & Context (language use). The organization has 10527 authors who have published 30978 publications receiving 896614 citations. The organization is also known as: Universitá degli Studi di Trento & Universita degli Studi di Trento.

The Integrative Power of Civic Networks

Abstract: This article analyzes integrative dynamics within civil society by looking at civic networks—the web of collaborative ties between participatory associations acting on behalf of public and collective interests. Drawing upon evidence from Glasgow and Bristol, the authors identify a polycentric model of civic coordination based on horizontal solidarity, in which associations form dense clusters of strong identity ties (“social bonds”) bridged by fewer instrumental ties (“transactions”). Basic relational mechanisms, consistent across localities, provide the basis for both micro‐ and macrointegration: they generate networks tight enough to embed civic associations in a distinctive environment, but open enough to connect them to a broader range of civic organizations. While contributing primarily to the understanding of political networks, the authors' findings also have implications for current debates on associational social capital and the impact of political contexts on the structure of collective action.

GRAnD: A goal-oriented approach to requirement analysis in data warehouses

Abstract: Several surveys indicate that a significant percentage of data warehouses fail to meet business objectives or are outright failures. One of the reasons for this is that requirement analysis is typically overlooked in real projects. In this paper we propose GRAnD, a goal-oriented approach to requirement analysis for data warehouses based on the Tropos methodology. Two different perspectives are integrated for requirement analysis: organizational modeling, centered on stakeholders, and decisional modeling, focused on decision makers. Our approach can be employed within both a demand-driven and a mixed supply/demand-driven design framework.

A Mediterranean perspective on the breakdown of the relationship between participation and fertility

Abstract: In this paper the authors address two related questions: first, why does the inverse relationship between female participation and fertility appear to have broken down on a cross-country basis in the Western industrialized nations and, second, why has Mediterranean Europe contributed to this breakdown with its combination of record low fertility and low participation? They re-examine the cross-country fertility--participation nexus from a long-term perspective and verify that there are no longer reasons to expect a systematic inverse relationship to hold for developed countries. The authors argue further that differences in participation and fertility reflect differences in the 'economics of the family' across countries. In Mediterranean countries, the combination of low fertility and low participation is favored by a family-centered welfare system, a family-biased production system and a family-oriented value system. And, contrary to widespread expectations, a very cohesive family has encouraged very low fertility. Copyright 1998 by Oxford University Press.

A Review of Change Detection in Multitemporal Hyperspectral Images: Current Techniques, Applications, and Challenges

Abstract: The expected increasing availability of remote sensing satellite hyperspectral (HS) images provides an important and unique data source for Earth observation (EO). HS images are characterized by a detailed spectral sampling (i.e., very high spectral resolution) over a wide spectral wavelength range, which makes it possible to monitor land-cover dynamics at a fine spectral scale. This is due to its capability of detecting subtle spectral variations in multitemporal images associated with land-cover changes that are not detectable in traditional multispectral (MS) images because of their limited spectral resolution (i.e., sufficient for representing only abrupt, strong changes in the spectral signature, as a rule). To fully exploit the available multitemporal HS images and their rich information content in change detection (CD), it is necessary to develop advanced automatic techniques that can address the complexity of the extraction of change information in an HS space. This article provides a comprehensive overview of the CD problem in HS images, as well as a survey on the main CD techniques available for multitemporal HS images. We review both widely used methods and new techniques proposed in the recent literature. The basic concepts, categories, open issues, and challenges related to CD in HS images are discussed and analyzed in detail. Experimental results obtained using state-of-the-art approaches are shown, to illustrate relevant concepts and problems.

A lifespan perspective on job design: Fitting the job and the worker to promote job satisfaction, engagement, and performance

Abstract: The workforce in most industrialized countries is aging. However, the role of age in job design has largely been ignored. In the present paper, we apply lifespan development perspectives to the interaction between job characteristics and age. Specifically, we examine the possible joint effects of age and job characteristics on job satisfaction, engagement, and performance, developing a series of propositions to guide future research. We also discuss possible boundary conditions, mediating mechanisms, and future research challenges.