Overview
- 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
Part of the book series: Agent-Based Social Systems (ABSS, volume 14)
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Table of contents (16 chapters)
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Front Matter
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Mathematical Foundation of Human Collective Behavior
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Front Matter
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Applications of Data Analysis to Social Design
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Front Matter
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Keywords
About this book
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.Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Applications of Data-Centric Science to Social Design
Book Subtitle: Qualitative and Quantitative Understanding of Collective Human Behavior
Editors: Aki-Hiro Sato
Series Title: Agent-Based Social Systems
DOI: https://doi.org/10.1007/978-981-10-7194-2
Publisher: Springer Singapore
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2019
Hardcover ISBN: 978-981-10-7193-5Published: 15 July 2019
eBook ISBN: 978-981-10-7194-2Published: 04 July 2019
Series ISSN: 1861-0803
Series E-ISSN: 2364-9542
Edition Number: 1
Number of Pages: X, 266
Number of Illustrations: 56 b/w illustrations, 39 illustrations in colour
Topics: Knowledge Management, Innovation/Technology Management, Business Information Systems, Statistics for Social Sciences, Humanities, Law, Data-driven Science, Modeling and Theory Building