| 期刊全稱 | Applications of Data-Centric Science to Social Design | | 期刊簡稱 | Qualitative and Quan | | 影響因子2023 | Aki-Hiro Sato | | 視頻video | http://file.papertrans.cn/160/159361/159361.mp4 | | 發(fā)行地址 | 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 | | 學(xué)科分類 | Agent-Based Social Systems | | 圖書封面 |  | | 影響因子 | .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.. | | Pindex | Book 2019 |
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