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Beyond “Evidence-Based” Policymaking

In: Big Data Analysis on Global Community Formation and Isolation

Author

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  • Hiroshi Iyetomi

    (Niigata University
    The Canon Institute for Global Studies)

Abstract

We are now entering the era of big data, and the increased availability and ubiquity of data could lead us to anticipate a promising future for the “evidence-based” policymaking. However, in the real world, things do not always function so predictably. This intriguing concept has already received considerable criticisms from various perspectives. To conclude this book, we would like to revisit this important issue pointing in a direction that proceeds beyond the “evidence-based” policymaking. We emphasize that the geometrization of data, considering the multifaceted nature of data, is important to achieve genuine evidence-based policymaking. Topological data analysis, including the bow-tie and Helmholtz–Hodge decompositions, is one of the promising methods for the geometrization of data.

Suggested Citation

  • Hiroshi Iyetomi, 2021. "Beyond “Evidence-Based” Policymaking," Springer Books, in: Yuichi Ikeda & Hiroshi Iyetomi & Takayuki Mizuno (ed.), Big Data Analysis on Global Community Formation and Isolation, pages 501-511, Springer.
    • Handle: RePEc:spr:sprchp:978-981-15-4944-1_15
    DOI: 10.1007/978-981-15-4944-1_15
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