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Nuclear Armament and the Arms Race
Both are highly dangerous. A nuclear or even a major conventional war gets out of control
all too quickly and destroys everything. Moreover, the risk of such an uncontrolled devel
opment has been exacerbated for a few years by nationalist and isolationist tendencies and
new armaments on all sides, including nuclear ones. 2020 will witness the expiry of both
the Strategic Nuclear Forces Agreement and the Intermediate-Range Nuclear Forces
Agreement.
Game Theory Interestingly, one can describe rearmament, arms races, nuclear exchange,
but also quite generally combat and competition strategies very well with the help of game
theory (and a lot of specific knowledge as an expert). Unfortunately, the explosive nature
of this new arms race is currently being suppressed, presumably because no one wants to
deal with this immanent and clearly too high risk in a seriously affected manner. Instead,
the fear is directed towards other, more tangible dangers, such as international terrorism or
radioactivity from nuclear power plants, both of which are negligible dangers. After all,
the UN has just begun the process of outlawing nuclear weapons since October 2016.
Moreover, one can deduce from systems biology considerations that it is important to
continuously make our current peaceful state more robust: Disarmament, especially
nuclear weapons, but also confidence-building measures are very important to prevent
exacerbations here. Manageable own examples of modeling attack and defense strategies
from infectious biology can be found in Dühring et al. (2015). Generally speaking, game
theory (Amann and Helbach 2012) and evolutionary strategies (Bäck et al. 2013) are
good bioinformatics approaches for modeling even such highly complex problems with
many parameters.
Global Warming
Ecosystem Models Another explosive problem is global warming. Here, it is the other
way around. The problem is not suddenly devastating, but will only strike in full force
around the year 2100. Since it is also the case that, as with fishing, the temptation is very
high to quickly grab a piece for oneself at the expense of others, there has so far been an
unbroken trend for more and more carbon dioxide in our atmosphere. Although the Paris
climate agreement of December 2015 gives us hope that concrete action will perhaps be
taken against this, only time will tell whether the amount of savings will be sufficient.
Here, of course, bioinformatics computer simulations directly help to simulate exactly
how the climate will change in the future. And other models (from satellite data, for exam
ple) are used to measure exactly how the climate is changing right now. This is a blind spot
without bioinformatics, so it’s an ideal example of how bioinformatics approaches can
actively help here. A nice introduction to modeling such problems is provided by the paper
Lenton et al. (2008).
16 Bioinformatics Connects Life with the Universe and All the Rest