Applications of Data-Centric Science to Social Design Qualitative and Quantitative Understanding of Collective Human Behavior / edited by Aki-Hiro Sato.

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, fundame...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Sato, Aki-Hiro (Editor)
Format: eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Agent-Based Social Systems, 14
Springer eBook Collection.
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Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Description
Summary: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.
Physical Description:X, 266 p. 95 illus., 39 illus. in color. online resource.
ISBN:9789811071942
ISSN:1861-0803 ;
DOI:10.1007/978-981-10-7194-2