Transatlantic Brokers. A global history of Jean Monnet’s network 1914-1943

Jean Monnet, possibly the most important actor during the first post-war decades of European integration, is constantly described in the literature as part of a network that included several influential individuals in Europe and in the United States who, at different moments, held key positions. An important aspect in this regard is that some of Monnet’s transatlantic friends promoted European integration and contributed to a cross-fertilization process across the Atlantic. Considering that most of the authors either list a number of people as being part of this network, or focus on particular individuals’ relationship with Monnet, it is fair to ask to what extent his network helped him in pursuing his goals, if Monnet was simply accepted, and why, in already existing networks, if we can consider his as a transatlantic working group and if we can retrace in this story elements of continuity and long durée that can contribute to the historiography of early European Integration. Considering new trends and interpretations that highlight the role played by networks, examination of Monnet’s techniques and his reliance on his transatlantic connections reveal important findings about his relationship with policymakers, shading also a light on important features of XX century diplomatic and transatlantic history. This dissertation’s attempt, therefore, is to define these as elements of continuity throughout the formative years of one of founding fathers of the Integration process.

Knowledge Flows and Networks: the Interplay between Local and Global Linkages within Bangalore IT Cluster

This doctoral work gains deeper insight into the dynamics of knowledge flows within and across clusters, unfolding their features, directions and strategic implications. Alliances, networks and personnel mobility are acknowledged as the three main channels of inter-firm knowledge flows, thus offering three heterogeneous measures to analyze the phenomenon. The interplay between the three channels and the richness of available research methods, has allowed for the elaboration of three different papers and perspectives. The common empirical setting is the IT cluster in Bangalore, for its distinguished features as a high-tech cluster and for its steady yearly two-digit growth around the service-based business model. The first paper deploys both a firm-level and a tie-level analysis, exploring the cases of 4 domestic companies and of 2 MNCs active the cluster, according to a cluster-based perspective. The distinction between business-domain knowledge and technical knowledge emerges from the qualitative evidence, further confirmed by quantitative analyses at tie-level. At firm-level, the specialization degree seems to be influencing the kind of knowledge shared, while at tie-level both the frequency of interaction and the governance mode prove to determine differences in the distribution of knowledge flows. The second paper zooms out and considers the inter-firm networks; particularly focusing on the role of cluster boundary, internal and external networks are analyzed, in their size, long-term orientation and exploration degree. The research method is purely qualitative and allows for the observation of the evolving strategic role of internal network: from exploitation-based to exploration-based. Moreover, a causal pattern is emphasized, linking the evolution and features of the external network to the evolution and features of internal network. The final paper addresses the softer and more micro-level side of knowledge flows: personnel mobility. A social capital perspective is here developed, which considers both employees’ acquisition and employees’ loss as building inter-firm ties, thus enhancing company’s overall social capital. Negative binomial regression analyses at dyad-level test the significant impact of cluster affiliation (cluster firms vs non-cluster firms), industry affiliation (IT firms vs non-IT fims) and foreign affiliation (MNCs vs domestic firms) in shaping the uneven distribution of personnel mobility, and thus of knowledge flows, among companies.

Digital 3D reconstruction as a research environment in art and architecture history: uncertainty classification and visualisation

The dissertation addresses the still not solved challenges concerned with the source-based digital 3D reconstruction, visualisation and documentation in the domain of archaeology, art and architecture history. The emerging BIM methodology and the exchange data format IFC are changing the way of collaboration, visualisation and documentation in the planning, construction and facility management process. The introduction and development of the Semantic Web (Web 3.0), spreading the idea of structured, formalised and linked data, offers semantically enriched human- and machine-readable data. In contrast to civil engineering and cultural heritage, academic object-oriented disciplines, like archaeology, art and architecture history, are acting as outside spectators. Since the 1990s, it has been argued that a 3D model is not likely to be considered a scientific reconstruction unless it is grounded on accurate documentation and visualisation. However, these standards are still missing and the validation of the outcomes is not fulfilled. Meanwhile, the digital research data remain ephemeral and continue to fill the growing digital cemeteries. This study focuses, therefore, on the evaluation of the source-based digital 3D reconstructions and, especially, on uncertainty assessment in the case of hypothetical reconstructions of destroyed or never built artefacts according to scientific principles, making the models shareable and reusable by a potentially wide audience. The work initially focuses on terminology and on the definition of a workflow especially related to the classification and visualisation of uncertainty. The workflow is then applied to specific cases of 3D models uploaded to the DFG repository of the AI Mainz. In this way, the available methods of documenting, visualising and communicating uncertainty are analysed. In the end, this process will lead to a validation or a correction of the workflow and the initial assumptions, but also (dealing with different hypotheses) to a better definition of the levels of uncertainty.

Characterization and natural history of different phenotypes in hereditary transthyretin amyloidosis: 40-year experience at a single Italian referral center

- Aims: Hereditary Transthyretin Amyloidosis (ATTRv) is one of the leading etiologies of systemic amyloidosis with more than 135 mutations described and a broad spectrum of clinical manifestations. We aimed to provide a systematic description of a population of individuals carrying pathogenic mutations of transthyretin (TTR) gene and to investigate the major clinical events during follow up. - Methods: Observational, retrospective, cohort study including consecutive patients with mutations of TTR gene, admitted to a tertiary referral center in Bologna, Italy, between 1984 and 2022. - Results: Three hundred twenty-five patients were included: 106 asymptomatic carriers, 49 cardiac phenotype, 49 neurological phenotype and 121 mixed phenotype. Twenty-three different mutations were found, with Ile68Leu (41.8%), Val30Met (19%), and Glu89Gln (10%) being the most common. After a median follow-up of 51 months data from 290 subjects were analyzed; among them 111 (38.3%) died and 123 (42.4%) had a major clinical event (death or hospitalization for heart failure). Nine (11.5%) of the 78 asymptomatic carriers showed signs and symptoms of the disease. Carriers had a prognosis comparable to healthy population, while no significant differences were seen among the three phenotypes adjusted by age. Age at diagnosis, NYHA functional class, left ventricular ejection fraction, mPND score and disease-modifying therapy were independently associated with survival. - Conclusions: This study offers a wide and comprehensive overview of ATTRv from the point of view of a tertiary referral center in Italy. Three main phenotypes can be identified (cardiac, neurological and mixed) with specific clinical and instrumental features. Family screening programs are essential to identify paucisymptomatic affected patients or unaffected carriers of the mutation, to be followed through the years. Lastly, disease-modifying therapy represents an evolving cornerstone of the management of ATTRv, with a great impact on mortality.