Manifesto of computational social science

作者：Rosaria Conte, Nigel Gilbert, Giulia Bonelli, Claudio A. Cioffi‐Revilla, Guillaume Deffuant, János Kertész, Vittorio Loreto, Helen Susannah Moat, Jean‐Pierre Nadal, Ángel Sánchez, Andrzej K. Nowak, Andreas Flache, Maxi San Miguel, Dirk Helbing · 发表于：The European Physical Journal Special Topics · 年份：2012 · DOI：10.1140/epjst/e2012-01697-8 · 被引用次数：427 · 研究领域：Opinion Dynamics and Social Influence、Evolutionary Game Theory and Cooperation、Complex Network Analysis Techniques

The increasing integration of technology into our lives has created unprecedented volumes of data on society’s everyday behaviour. Such data opens up exciting new opportunities to work towards a quantitative understanding of our complex social systems, within the realms of a new discipline known as Computational Social Science. Against a background of financial crises, riots and international epidemics, the urgent need for a greater comprehension of the complexity of our interconnected global society and an ability to apply such insights in policy decisions is clear. This manifesto outlines the objectives of this new scientific direction, considering the challenges involved in it, and the extensive impact on science, technology and society that the success of this endeavour is likely to bring about. Graphical abstract