Archivio della ricerca- LUISS Libera Università Internazionale degli Studi Sociali Guido Carli di Roma
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The discursive framing of European integration in EU-wide media: actors, narratives and policies following the Russian invasion of Ukraine
Full text linkThis article examines how major EU-wide media discursively framed European integration in terms of prevalent actors, narratives and policy areas in the context of the Russian invasion of Ukraine. Based on the combination of theoretical insights from discursive institutionalism and the grand theories of European integration, the article performs a qualitative analysis of textual content in six of the most influential EU-wide media sources as of 2023, taking the form of a competitive theory testing. Challenging the established literature on EU-related national media coverage, it finds that, consistently with discursive neo-functionalism, the Russian military aggression of Ukraine has led to the discursive empowerment of EU supranational actors, most notably the European Commission, and to an increased salience of more European integration and transnational solidarity narratives. This has happened despite the fact that the conflict was mainly framed as falling within the realm of intergovernmental policy areas, such as energy policy, security and defence
Spatial robust fuzzy clustering of mixed data with electoral study
Full text linkA robust fuzzy clustering model for data with mixed features and spatial constraints is proposed
to analyze the turnout and the preferences of the voters at the provincial level in the European
elections. The 2024 European elections in Italy were held in June to elect the 76 members
of the European Parliament due to Italy. The clustering model accommodates various types of
variables or attributes by integrating dissimilarity measures for each one through a weighting
approach. This method produces a composite distance (or dissimilarity) metric that captures
multiple attribute types. The weights are determined objectively during the optimization process
and indicate the importance of each attribute type. The model also incorporates robustness via
the introduction of a Noise cluster, and accounts for a spatial component. The application shows
consistency of the results both at the level of units’ attributes and at a spatial level
Hybrid Fuzzing of Infrastructure as Code Programs (Short Paper)
Full text linkInfrastructure as Code (IaC) has become a cornerstone of modern
cloud and system deployment, enabling automated and repeatable
infrastructure provisioning. However, ensuring the correctness of
IaC programs remains challenging due to their complexity and
dynamic nature. In particular, IaC programs can exhibit different
behaviors depending on the state of the resources they manage.
Since these resources are deployed on external providers, accounting for their possible states is difficult, making the testing phase
particularly challenging. This paper presents HIT, a novel unittesting framework for IaC programs that effectively tests IaC code
using relevant resource states. HIT combines fuzzing and concolic
execution, two effective yet previously unexplored techniques for
IaC code. Our experiments confirm that HIT achieves better code
coverage than state-of-the-art approaches
The Italian Resistance: historical junctures and new perspectives
Full text linkThis introduction to this special issue of Modern Italy explores how the emphasis on fascism in recent scholarship and public discourse risks its mythification and cultural rehabilitation, and urges a rebalancing of historiography to highlight the pivotal role of the Italian Resistance in shaping Italy's democratic identity. Marking the eightieth anniversary of Italy's liberation and the thirtieth anniversary of Modern Italy, the issue examines lesser-known aspects of the Resistance, such as marginal groups, gendered experiences and transnational perspectives. Contributions include studies on Roma Resistance fighters, the Catholic underground press, American soldiers of Italian descent, and women in the Liberal Party. The articles emphasise the liminality and creative potential of the Resistance as a transformative period that redefined political and cultural identities
Green Investment and Productivity Dynamics
Full text linkThis paper reviews existing definitions and measurement efforts to capture the extent of green technological investment, and it provides a measurable definition of green capital asset for a sample of 18 OECD countries from 2004 to 2020. A main goal of this paper is to assess the contribution of green technological capital to productivity growth also taking into account the effects of tightening environmental regulations. The econometric results suggest that: (1) an increase in green technological capital stock generates medium-term productivity gains; (2) stricter environmental regulations boost, rather than hinder, productivity growth. Furthermore, the empirical findings corroborate previous evidence that more stringent nonmarket policies, such as emission limits, can stimulate innovation, thereby contributing to positive productivity returns. The paper provides also some policy insights highlighting the critical role of green technological investment in promoting sustainable growth while mitigating climate change
Sojourn functionals of time-dependent -random fields on two-point homogeneous spaces
No full textWe investigate geometric properties of invariant spatio-temporal random fields X : Md ×
R → R defined on a compact two-point homogeneous space Md in any dimension
d ≥ 2, and evolving over time. In particular, we focus on chi-squared-distributed random fields, and study the large-time behavior (as T → +∞) of the average on [0,T] of
the volume of the excursion set on the manifold, i.e. of {X(·, t) ≥ u} (for any u > 0).
The Fourier components of X may have short or long memory in time, i.e. integrable
or non-integrable temporal covariance functions. Our argument follows the approach
developed in Marinucci et al. (2021) and allows us to extend their results for invariant
spatio-temporal Gaussian fields on the two-dimensional unit sphere to the case of chisquared distributed fields on two-point homogeneous spaces in any dimension. We find
that both the asymptotic variance and limiting distribution, as T → +∞, of the average
empirical volume turn out to be non-universal, depending on the memory parameters of
the field X
