From trust who to trust what. A fresh perspective on trust in the era of blockchain

In the last few years, a remarkable technological revolution has been taking place around the world. Such a technological revolution is not just a means to the end of improving efficiency, but an important end of social order. In this work, I show that blockchain is one important example. I discuss that the success of a disintermediated transaction is conditioned on the level of trust in the rules-of-code. In what follows, the dissertation is organized in three studies. Study 1 is a theoretical paper where I present and discuss a model of how blockchain-like technologies can automate and algorithmically dictate the nurturing of trust. Based on study 1, study 2 is aimed to develop and validate a quantitative scale to measure each component of the proposed trust model. Lastly, study 3 is intended to investigate how telematic equipment can affect individual trusting behavior under condition of information asymmetry. The introduction of black box in the Italian automobile insurance market is the set of this study. Overall, the dissertation offers some major contributions for theory and practice about the dynamics underlying the development of trust in the rising era of blockchain transactions.

Multi-scale analysis of active landslides using two-pass differential interferometry

Landslides are common features of the landscape of the north-central Apennine mountain range and cause frequent damage to human facilities and infrastructure. Most of these landslides move periodically with moderate velocities and, only after particular rainfall events, some accelerate abruptly. Synthetic aperture radar interferometry (InSAR) provides a particularly convenient method for studying deforming slopes. We use standard two-pass interferometry, taking advantage of the short revisit time of the Sentinel-1 satellites. In this paper we present the results of the InSAR analysis developed on several study areas in central and Northern Italian Apennines. The aims of the work described within the articles contained in this paper, concern: i) the potential of the standard two-pass interferometric technique for the recognition of active landslides; ii) the exploration of the potential related to the displacement time series resulting from a two-pass multiple time-scale InSAR analysis; iii) the evaluation of the possibility of making comparisons with climate forcing for cognitive and risk assessment purposes. Our analysis successfully identified more than 400 InSAR deformation signals (IDS) in the different study areas corresponding to active slope movements. The comparison between IDSs and thematic maps allowed us to identify the main characteristics of the slopes most prone to landslides. The analysis of displacement time series derived from monthly interferometric stacks or single 6-day interferograms allowed the establishment of landslide activity thresholds. This information, combined with the displacement time series, allowed the relationship between ground deformation and climate forcing to be successfully investigated. The InSAR data also gave access to the possibility of validating geographical warning systems and comparing the activity state of landslides with triggering probability thresholds.