For a Computational Social and Behavioral Science -- Part I: New Theories -- Cognitively Rich Architectures for Agent-based Models of Social Behaviors and Dynamics: A Multi-scale Perspective -- Reciprocity, Punishment, Institutions: The Streets to Social Collaboration -- The Effect of Legal and Social Norms in Countering Extortion Racket Systems -- Experimental Economycs and Tax Evasion -- Exploring Reputation-based Cooperation -- Part II: New Applications -- A Novel Interdisciplinary Approach to Socio-Technical Complexity:  Sociologically-driven, Computable Methods for Sport Spectator Crowds’ Semi-supervised Analysis -- Trends in Social Science: The Impact of Computational and Simulative Models -- On the Quality of Collective Decisions in Sociotechnical Systems: Transparency, Fairness and Efficiency -- How Crime Spreads Through Imitation in Social Networks: A Simulation Model -- NewsMarket 2.0: Analysis of News for Stock Price Forecasting.

This book studies social phenomena in a new way, by making judicious use of computer technology. The book addresses the entire spectrum of classic studies in social science, from experiments to the computational models, with a multidisciplinary approach. The book is suitable for those who want to get a picture of what it means to do social research today, and also to get an indication of the major open issues. The book is connected to a database of code for simulations, experimental data and allows to activate a subscription to a teaching tool using NetLogo, a programming language widely used in the social studies. The authors are researchers with first-hand experience research projects, both basic and applied. The work will be useful for those who want to understand more of the social, economic and political phenomena via computer applications.