%0 Book Section %1 sato_how_2019 %A Sato, Aki-Hiro %B Applications of Data-Centric Science to Social Design: Qualitative and Quantitative Understanding of Collective Human Behavior %C Singapore %D 2019 %E Sato, Aki-Hiro %I Springer Singapore %K sozialwissenschaft data_science %P 3--16 %R 10.1007/978-981-10-7194-2_1 %T How to design society from a data-centric point of view %U https://doi.org/10.1007/978-981-10-7194-2_1 %X This chapter explains the goals of this book in relation to three major aspects: human behavior, data-centric science, and social design. These three issues have been independently developing in different disciplines; however, in reality, they are deeply interrelated with one another. Specifically, the understanding of human behavior should be foundational for investigating human society. Thus, insights based on both quantitative and qualitative understandings of human collective behavior are very useful when designing social systems. Concerning design, we see how to design our social systems based on a heterogeneous membership. This chapter also discusses the three aspects (human behavior, data-centric science, and social design) independently as well as the relationships among them from the perspective of participatory design. %@ 978-981-10-7194-2

@incollection{sato_how_2019, abstract = {This chapter explains the goals of this book in relation to three major aspects: human behavior, data-centric science, and social design. These three issues have been independently developing in different disciplines; however, in reality, they are deeply interrelated with one another. Specifically, the understanding of human behavior should be foundational for investigating human society. Thus, insights based on both quantitative and qualitative understandings of human collective behavior are very useful when designing social systems. Concerning design, we see how to design our social systems based on a heterogeneous membership. This chapter also discusses the three aspects (human behavior, data-centric science, and social design) independently as well as the relationships among them from the perspective of participatory design.}, added-at = {2019-08-29T15:57:20.000+0200}, address = {Singapore}, author = {Sato, Aki-Hiro}, biburl = {https://www.bibsonomy.org/bibtex/23ac899d67378334a06756b527bfb0a1f/lepsky}, booktitle = {Applications of {Data}-{Centric} {Science} to {Social} {Design}: {Qualitative} and {Quantitative} {Understanding} of {Collective} {Human} {Behavior}}, doi = {10.1007/978-981-10-7194-2_1}, editor = {Sato, Aki-Hiro}, interhash = {628998d894eb80e06646c8b97db20c24}, intrahash = {3ac899d67378334a06756b527bfb0a1f}, isbn = {978-981-10-7194-2}, keywords = {sozialwissenschaft data_science}, language = {en}, pages = {3--16}, publisher = {Springer Singapore}, series = {Agent-{Based} {Social} {Systems}}, timestamp = {2019-08-29T15:59:08.000+0200}, title = {How to design society from a data-centric point of view}, url = {https://doi.org/10.1007/978-981-10-7194-2_1}, urldate = {2019-07-12}, year = 2019 }