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How to Design Society from a Data-Centric Point of View

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Applications of Data-Centric Science to Social Design

Part of the book series: Agent-Based Social Systems ((ABSS,volume 14))

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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.

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References

  • Botzheim J et al (2013) Extraction of daily life log measured by smart phone sensors using neural computing. Procedia Comput Sci 22:883–892

    Article  Google Scholar 

  • Bureau of Statistics in Japan (2016) Survey on time use and leisure activities (Online). Ministry of Internal Affairs and Communications, Tokyo. Available from: http://www.stat.go.jp/english/data/shakai/2016/pdf/timeuse-a2016.pdf. Accessed 1 Aug 2018

    Google Scholar 

  • Cooper A, Saffo P (1999) The inmates are running the asylum. Macmillan Publishing Co., Indianapolis

    Book  Google Scholar 

  • Deming WE (1986) Out of the crisis. Massachusetts Institute of Technology, Center for Advanced Engineering Study, Cambridge, MA

    Google Scholar 

  • Indicators of Sustainable Development for Tourism Destinations: A Guidebook (2004) Madrid: World Tourism Organization

    Google Scholar 

  • Kita H, Mori M (2009) Projects of participatory production and their management: practice in industrial accumulation in Suwa. In: Ohara S, Asada T (eds) Japanese project management, world scientific, pp. 361–373

    Chapter  Google Scholar 

  • Kita H, Mori M, Tsuji T (2008) Toward field informatics for participatory production, international conference on informatics education and research for knowledge-circulating society, pp 68–72

    Google Scholar 

  • Kitagawa G (2010) Data centric science for information society. In: Takayasu H, Takayasu M, Watanabe T (eds) Econophysics approaches to large-scale business data and financial crisis. Springer, Tokyo

    Google Scholar 

  • Lazer D et al (2009) Computational social science. Science 323:721–723

    Article  Google Scholar 

  • Miaskiewicz T, Kozar KA (2011) Personas and user-centered design: how can personas benefit product design processes? Des Stud 32(5):417–430

    Article  Google Scholar 

  • Moon H, Han SH, Chun J, Hong SW (2016) A design process for a customer journey map: a case study on mobile services. Hum Factors Ergon Manuf 26:501–551. https://doi.org/10.1002/hfm.20673

    Article  Google Scholar 

  • Nielsen L (2013), 30. Persona in The encyclopedia of human-computer interaction, 2nd ed (Online). Available from: https://www.interaction-design.org/literature/book/the-encyclopedia-of-human-computer-interaction-2nd-ed. Accessed 16 Aug 2018

  • Richardson A (2010) Series on customer journey: using customer journey maps to improve customer experience. Available at: https://hbr.org/2010/11/using-customer-journey-maps-to?referral=03759&cm_vc=rr_item_page.bottom

  • Sato AH (2014) Applied data-centric social sciences. Springer, Tokyo

    Book  Google Scholar 

  • Stefan S (ed) (2016) Lifelogging: digital self-tracking and lifelogging – between disruptive technology and cultural transformation. Springer, Wiesbaden

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Yokohama City University, Kanazawa-ku, Yokohama-shi, Kanagawa, Japan

    Aki-Hiro Sato

  2. Japan Science and Technology Agency PRESTO, Kawaguchi-shi, Saitama, Japan

    Aki-Hiro Sato

  3. Statistical Research and Training Institute, Ministry of Internal Affairs and Communications, Shinjuku-ku, Tokyo, Japan

    Aki-Hiro Sato

Authors
  1. Aki-Hiro Sato
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Correspondence to Aki-Hiro Sato .

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Editors and Affiliations

  1. Yokohama City University, Kanazawa-ku, Yokohama-shi, Kanagawa, Japan

    Aki-Hiro Sato

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Sato, AH. (2019). How to Design Society from a Data-Centric Point of View. In: Sato, AH. (eds) Applications of Data-Centric Science to Social Design. Agent-Based Social Systems, vol 14. Springer, Singapore. https://doi.org/10.1007/978-981-10-7194-2_1

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