Applications of Data-Centric Science to Social Design: Qualitative and Quantitative Understanding of Collective Human Behavior - Couverture rigide

Couverture rigide

ISBN 10 : 9811071934 ISBN 13 : 9789811071935

Editeur : Springer Verlag, Singapore, 2019

Synopsis

The intention behind this book is to illustrate the deep relation among human behavior, data-centric science, and social design. In fact, these three issues have been independently developing in different fields, although they are, of course, deeply interrelated to one another. Specifically, fundamental understanding of human behavior should be employed for investigating our human society and designing social systems. Insights and both quantitative and qualitative understandings of collective human behavior are quite useful when social systems are designed.

Fundamental principles of human behavior, theoretical models of human behavior, and information cascades are addressed as aspects of human behavior. Data-driven investigation of human nature, social behavior, and societal systems are developed as aspects of data-centric science. As design aspects, how to design social systems from heterogeneous memberships is explained. There is also discussion of these three aspects--human behavior, data-centric science, and social design--independently and with regard to the relationships among them.

A propos du livre

À propos de l?auteur

Aki-Hiro Sato, Doctor of Information Science, Kyoto University

Détails de l'édition

• Éditeur: Springer Verlag, Singapore
• Date d'édition: 2019
• Langue: anglais
• ISBN 10: 9811071934
• ISBN 13: 9789811071935
• Reliure: Relié
• Nombre de pages: 276
• Éditeur: Sato Aki-Hiro
• Coordonnées du fabricant: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Allemagne