Page 117 - Trust in ICT 2017

Trust in ICT 2

In science and engineering domains, knowledge is essential to make fundamental theoretical or experimental
researches. Since knowledge is fundamentally a matter of cognitive capability of problem-solving, skill,
training, and learning, most research in the academic world is a hybrid of new knowledge generation and
subsequent exploitation. Radical innovation is rarely possible without prior knowledge. Some collaboration
between the academic world and industry is necessary both for the generation of new knowledge and its
applications. New scientific knowledge is essential not only for fostering innovation and development of new
technology, but also for creating new processes of education and collaboration of researchers. To accelerate
knowledge creation, the collaborative research model of science and engineering is crucial.

The key ingredient of knowledge is understanding. The good understanding of basic theories and practice of
experimental results are required among well-trained scientists and skilful engineers. Understanding means
the ability to figure out a simple set of rules that explains a particular situation. For example, a teacher gives
an explanation to his students of some features of a physical object. One understands reasoning, arguments,
or language if one can consciously reproduce the information contents conveyed by the network. One
understands a mathematical concept if one can solve problems using it, especially problems that are not
similar to what one has seen before.
For the future knowledge eco-society, there are a lot of opportunities in order to accumulate the values of
knowledge as shown in Figure 2. By converging heterogeneous intelligences as indicated by Howard Gardner,
the disruptive innovation of knowledge may happen: for example, emotional therapy by converging
health+music, bicycle generator by converging energy+sport, and edutainment by converging
game+education, etc. The innovative convergence platform of knowledge will be open for multi-dimensional
thinking which enables people to create clarity out of complexity. For innovation of science and engineering,
the knowledge platform extends to factual and tangible dimensions where a wide variety of scientific data
are collected and analysed. However, more intangible dimension including tacit knowledge and sharing
experiences, which is not well formulated, can support the emotional and spiritual drivers of culture, lifestyle
and consumption behaviour, alongside the dynamics of personal well-being. The future knowledge platform
will be a comprehensive and integrated set of tools and technologies which maximize accumulation and
collaboration of people's knowledge.

New virtual spaces with collective intelligences may replace the existing working spaces for workshops and
conferences. A lot of researchers who have not actually participated at the workshop may be encouraged to
investigate new business scenarios and technological solutions at the virtual space. The virtual space provides
the possibility and challenges to design new activities of collaboration and learning.

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