Applications of Data-Centric Science to Social Design
Qualitative and Quantitative Understanding of Collective Human Behavior
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Beschreibung
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—humanbehavior, data-centric science, and social design—independently and with regard to the relationships among them.
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.Enables learning of fundamental theory of design processes and how to create value from experiences Discusses how to conduct data-driven decision making in design processes from the Deming cycle (PDCA cycle) of data-centric science Explains the theoretical contribution of collective human behavior to deepening qualitative and quantitative understanding of human interaction
Autor*in
Aki-Hiro Sato
Themen in »Applications of Data-Centric Science to Social Design«
Collective Human Behavior Big Data Data-driven Innovation Phase Transition Benefits of Inconvenience Information Cascade data-driven science, modeling and theory building