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organ dysfunction syndrome”, but the worth fact is the consequent social big
confusions to be carefully dealt with by the triple loop learning.
In case of Fukushima Daiichi nuclear accidents, cognitive gaps in evolving
features of science and engineering, and locked-in explanations on technologies
mattered, which evokes serious needs to carry out reengineering of complicated
engineering products after the traceability of associated data and models transparent
to stakeholders for a consensus by clear identification of each task on the three
loops. This direction of reengineering are required for all artifacts of unknowns
including such tacit knowledge as safety parameters, engineering decisions, know-
how, theories and so on. Systematic creation of design windows by exhaustive
listings of key data at each learning loop can be carried out incrementally. Beyond
such efforts at the triple-, double- and single level learning we may have a
possibility to create a product model by systematic iterations of the above discovery
approach, which will give data-driven solutions for unknowns as data democracy.
An international collaboration agenda for creating a new paradigm “data cen-
tered science and technology” is proposed on health issues as triggered from many
troubles due to the Fukushima Daiichi Nuclear Power Plant. The agenda consists of
two main aspects: One aspect concerns a way to reorganize our engineering
knowledge on safety beyond experience-based engineering, targeting to establish
robust enough engineering against the next big risk and disaster, and the second
aspect concerns how to create a human-oriented society of perfect individual care.
Sharing of reliable scientific data is the key starting point for this big challenge.
Challenges to realize data-centric individual cares and data- and scenario-driven
collaborative design approaches together are expected to follow as remedies to get
our future perspectives.
8.3 New Agenda for Environmental Project
Design of environments in principle requires a common mission shared by all,
namely, about seven billion human beings, artifacts and natures, keeping a clear
vision on climate and environmental changes evoked by human activities. And a
common mission is to be derived or designed at the triple loop learning as is the
case of Fukushima Accident although the committed people and stakeholders have
been struggling to find solutions. By any means, we must be prepared against
various risks, disasters and crisis based on not only reliable data and knowledge
but also on restructuring our domain-differentiated organizations formed by
domain-differentiated disciplines and knowledge into a tough, robust, flexible and
basic organizations of perseverance.
In order to make the difficult triple loop learning fruitful, in parallel we need to
establish robust engineering in design against unknown future risks, disasters and
crisis based on our research from the biggest disaster during these 1,000 years. It is
the way to make productive challenges on environmental projects of more difficul-
ties in the future and requiring more vivid and wider time-space imaginations on
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