Sustainability indicators for environmental management and decision making

The general objective of this research is to explore theories and methodologies of sustainability indicators, environmental management and decision making disciplines with the operational purpose of producing scientific, robust and relevant information for supporting system understanding and decision making in real case studies. Several tools have been applied in order to increase the understanding of socio-ecological systems as well as providing relevant information on the choice between alternatives. These tools have always been applied having in mind the complexity of the issues and the uncertainty tied to the partial knowledge of the systems under study. Two case studies with specific application to performances measurement (environmental performances in the case of the K8 approach and sustainable development performances in the case of the EU Sustainable Development Strategy) and a case study about the selection of sustainable development indicators amongst Municipalities in Scotland, are discussed in the first part of the work. In the second part of the work, the common denominator among subjects consists in the application of spatial indices and indicators to address operational problems in land use management within the territory of the Ravenna province (Italy). The main conclusion of the thesis is that a ‘perfect’ methodological approach which always produces the best results in assessing sustainability performances does not exist. Rather, there is a pool of correct approaches answering different evaluation questions, to be used when methodologies fit the purpose of the analysis. For this reason, methodological limits and conceptual assumptions as well as consistency and transparency of the assessment, become the key factors for assessing the quality of the analysis.

Integration of cognitive and affective processes in perception and decision-making

The relationship between emotion and cognition is a topic that raises great interest in research. Recently, a view of these two processes as interactive and mutually influencing each other has become predominant. This dissertation investigates the reciprocal influences of emotion and cognition, both at behavioral and neural level, in two specific fields, such as attention and decision-making. Experimental evidence on how emotional responses may affect perceptual and attentional processes has been reported. In addition, the impact of three factors, such as personality traits, motivational needs and social context, in modulating the influence that emotion exerts on perception and attention has been investigated. Moreover, the influence of cognition on emotional responses in decision-making has been demonstrated. The current experimental evidence showed that cognitive brain regions such as the dorsolateral prefrontal cortex are causally implicated in regulation of emotional responses and that this has an effect at both pre and post decisional stages. There are two main conclusions of this dissertation: firstly, emotion exerts a strong influence on perceptual and attentional processes but, at the same time, this influence may also be modulated by other factors internal and external to the individuals. Secondly, cognitive processes may modulate emotional prepotent responses, by serving a regulative function critical to driving and shaping human behavior in line with current goals.

Teoria dei giochi e Multi-criteria decision-making per reti mobili Ad-hoc: un protocollo di routing

Nell'elaborato si analizzano aspetti della teoria dei giochi e della multi-criteria decision-making. La riflessione serve a proporre le basi per un nuovo modello di protocollo di routing in ambito Mobile Ad-hoc Networks. Questo prototipo mira a generare una rete che riesca a gestirsi in maniera ottimale grazie ad un'acuta tecnica di clusterizzazione. Allo stesso tempo si propone come obiettivo il risparmio energetico e la partecipazione collaborativa di tutti i componenti.

Decision making nella robotica collettiva

Nel testo viene esposta la presa di decisione nella robotica collettiva, cioè il comportamento collettivo esibito dagli animali sociali in sciame migrato in un gruppo di robot. Questa tesi si prefigge di analizzare come un insieme di individui, all'interno di un gruppo, possano giungere tutti ad avere una stessa opinione comune, o come essi siano in grado di dividersi autonomamente il lavoro senza alcun bisogno di controllo centrale. Inizialmente, viene introdotta la robotica collettiva, esponendone origini, caratteristiche e ambiti di ricerca. Viene in seguito presentato il collective decision making, all'interno del comportamento collettivo generale, esponendone le origini biologiche fino ai primi esperimenti su dei semplici robot. Vengono poi analizzati i due aspetti del decision making, vale a dire il raggiungimento del consenso e la suddivisione del lavoro. Per entrambi gli argomenti, sono presentati studi sia di carattere biologico che robotico, allo scopo di trarne similitudini e differenze e realizzare una valida analisi critica. Infine, vengono esposti i possibili sviluppi del comportamento e della robotica collettiva, mostrando possibili scenari di utilizzo futuro e gli attuali limiti allo sviluppo.

[Molecular analyses for (early) recognition of hematologic diseases - sense and sensibility for molecular analysis: the art of intelligent decision-making]

During the last 10 years several molecular markers have been established as useful tools among the armamentarium of a hematologist. As a consequence, the number of performed hematologic molecular analyses has immensely increased. Often, such tests replace or complement other laboratory methods. Molecular markers can be useful in many ways: they can serve for diagnostics, describe the prognostic profile, predict which types of drugs are indicated, and can be used for the therapeutic monitoring of the patient to indicate an adequate response or predict resistance or relapse of the disease. Many markers fulfill more than one of these aspects. Most important, however, is the right choice of analyses at the right time-points!

European Union Trade Policy after Enlargement: Larger Crowds, Shifting Priorities and Informal Decision-Making

The article focuses on the effects of Eastern enlargement on EU trade policy-making. On interest constellation, the article makes a case that protectionist forces have been strengthened relative to liberal forces. This slight protectionist turn is mostly witnessed in the area of anti-dumping and with respect to the Doha trade round. On preference aggregation, guided by a principal–agent framework, it is argued that the growth in the number of actors (principals and interest groups) has not constrained the role of the European Commission (agent). However, it has led to an increase in informal processes and has empowered large trading nations vis-a`-vis smaller and less ‘comitology-experienced’ member states.

Sharing decisions in breast cancer care: Development of the Decision Analysis System for Oncology (DAS-O) to identify shared decision making during treatment consultations

Shared Decision Making (SDM) is widely accepted as the preferred method for reaching treatment decisions in the oncology setting including those about clinical trial participation: however, there is some disagreement between researchers over the components of SDM. Specific standardized coding systems are needed to help overcome this difficulty.