Towards Data Democracy Beyond Fukushima

Abstract

Data-driven design procedures on materials, artifacts (engineering products) and environmental projects are comparatively studied in accordance with view of three loops for learning, namely, learning how to learn, changing the rules and following the established rules. Materials design procedures including the three loops by data-intensive ways are under development by taking advantage of a qualified database on materials so as to establish an exemplar for data-driven design in general with an explicit articulation. Design procedures of nuclear reactors have changed from data-driven design in the beginning to experience-based design of tacit knowledge, and standard-based design reflecting number of committed experts for design and development. This explanation of the nuclear reactor design is extended to show difficult issues about design procedures for environments which have not only one directional time dependent evolutional features as natural phenomena but also are full of human dimensions of about seven billion people with consequent uncertainties. As concluding remarks, an articulation to converge into productive cycles for the latter two design problems is given, extending procedures for data-driven materials design by introducing human dimensions for nuclear reactors and adding irreversible path dependent features and human dimensions for environmental issues.