Information Technology Reference
In-Depth Information
Chapter 8
Towards Data Democracy Beyond
Fukushima
Shuichi Iwata
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.
Keywords Artifacts • Data-driven design • Discovery approach • Engineering
products • Environmental project • Experience based design • Fukushima Daiichi
• Materials • Nuclear reactor • Safety • Standard-based design
8.1 Exemplars in Materials Design
Design procedures, in general, are iterative converging procedures to obtain better
solutions, getting new data, insights and visions, although they can be defined as an
action to find mappings between a value space of users and a fact space on each
Search WWH ::
Custom Search