An overview of quantitative methods to process behavioral data

What motivates people in electing decisions, and politicians? And how can we understand them ? I shall use a case study from the 2013 national parliamentary election campaign in Italy to describe how quantitative methods can be applied to what is commonly called “behavioural” data analysis , i.e.: understanding people’s opinions and tendencies. Behav data are the most precious source of information for marketers and are understandably becoming more and more significant to museums, art galleries and cultural heritage sites managers. An experience of “Museum Analytics” and web platforms standards will also be discussed. S. Gazziano is a physicist, turned computer scientist when computer science began in late ‘70s. Was a Fulbrighter at Georgia Tech, visiting scientist at UC Berkeley, data analyst for ENI, private entrepreneur, then in ENEA the Italian National Energy Agency was head of international programs, delegate to OECD and G8, head of IT services, senior assistant to CEO and now head of technology transfer programs. Has a special interest for the role of Internet in the creation of democratic consensus: was deputy campaign manager and campaign manager for a number of national elections in Italy and wrote a book “Internet e politica 2005” prefaced by Romano Prodi, former President of the European Commission and former PM of Italy.