We are approaching problems using a singularly focused, categorical, and outdated problem-solving method. This method was not always outdated and as recently as 20 years ago it still made sense. Even though our access to information has dramatically changed during that period, our approach to technology development and problem solving remains the same: minimize the scope of the problem until you isolate something you can control and utilize.
For
an example of this let’s look to the power industry. If we look at the technology
in this sector we see very singularly focused systems developed under this
regime. Take a combined cycle gas
turbine, this technology uses a single fuel (natural gas), to drive a single
type of technology (thermal power cycles), to deliver electricity to a single
market (shouldering electricity), governed by a single forcing function (the
price of electricity).
This
is not, per say, a bad technology, but it was developed under a system where
the scope of the technology was minimized as much as possible. If you look at
the availability of information 20 years ago this approach makes sense. The
groups that developed the technology had limited access to published works
outside the realm of gas turbines; they had gone to school where they
participated in categorical narrowly focused curriculums, and they were led by
technical and business experts with experience with the previous generations of
the technology.
Under
this set of circumstances the only plausible way to develop a technology is by
reducing the scope you are willing to consider. If you don’t have access to
information about other technology, markets, fuels, etc. you will try to remove
them as variables and isolate out a system that you can fully predict and
control. In general, these decisions force you to accept increased system complexity
in order to reach better system performance at constant (or decreasing)
technical scope.
In
the last 20 years, the availability of information has increased faster than
ever before. Now, with little more than a macbook and an internet connection a
resourceful engineer can learn more or less anything they want for free. My
wife and I can get in our car and in the time it takes to drive to the whole
foods across town I can (sitting in the passenger seat of course) download
hourly
solar insolation data for Bakersfield CA, search a prominent, but
unrelated
peer-reviewed journal for articles that may apply to my technology,
and read about a new
bill incentivizing the use of some new feedstock in my
state.