L'EVOLUTION TECHNOLOGIQUE ET LA MONTEE DU RISQUE TECHNOLOGIQUE MAJEUR QU'A CONNUES L'INDUSTRIE CHIMIQUE ONT ETE ACCOMPAG NEES PAR DES REPONSES DE LA PART DES ASSUREURS. TOUTEFOIS, CES REPONSES SONT INSUFFISANTES COMPTE TENU DE LA NATURE MEME DE L'INCERTITUDE ET DE LA COMPLEXITE. L7APPROCHE CONSISTANT A VOULOIR FAIRE PRENDRE EN CHARGE LE RISQUE PAR L'ASSURANCE , A TRAVERS LE PRINCIPE DE RESPONSABILITE CIVILE OBJECTIVE, S'APPARENTE A UNE APPROCHE EN TERMES D'INTERNALISATION DES EFFETS EXTERNES : ELLE EST ANALYSEE DANS LA PERSPECTIVE DU THEOREME DE COASE. CETTE EVOLUTION APPARAIT RISQUEE TANT DU POINT DE VUE ECONOMIQUE QUE SOCIAL. LA THESE MONTRE QUE LA THEORIE LIBERALE OU LA THEORIE DE L'ETAT NE SONT PAS DES CADRES PERTINENTS D'ANALYSE DE L'ECONOMIE DE L'ASSURANCE. LE CHAMP DE CETTE DERNIERE EST ALORS INTERPRETE EN TERMES D'ECONOMIE DES SERVICES PARCE QU'ELLE ADMET L'INCERTITUDE FONDAMENTALE. L'EXEMPLE DE L'ASSURANCE RESPONSABILITE CIVILE ATTEINTES A L'ENVIRONNEMENT CONCERNANT LES RISQUES CHIMIQUES PERMET DE DEGAGER DES FORMES ALTERNATIVES DE PRISE EN CHAGE DES RISQUES.

“A clear and crisply written account of machine intelligence, big data and the sharing economy. But McAfee and Brynjolfsson also wisely acknowledge the limitations of their futurology and avoid over-simplification.” —Financial Times In The Second Machine Age, Andrew McAfee and Erik Brynjolfsson predicted some of the far-reaching effects of digital technologies on our lives and businesses. Now they’ve written a guide to help readers make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments.

Aiming to support the development of a framework for the analysis of risk in project design and economic analysis, this handbook outlines technical approaches to modeling risk. Also summarized is the nature and practice of sensitivity analysis in dealing with uncertain outcomes as well as the principles to consider in typical risk analysis situations sector by sector. Case studies are included to demonstrate the application of quantitative risk analysis using actual Asian Development Bank projects to help improve project design and quality. Handbook users will learn to identify factors that are the key determinants of project outcomes, determine the likelihood of an individual project's returns being unacceptable, and design measures to mitigate the risks arising from the identified key factors.