Some people seem to agree that being an Artist
is quite different than being an Engineer. Although both Art and Science are related to their own specific discipline (#specialisation) and can be looked upon the
same general conceptual ideas (#theory), Science has its own specificity,
different that Art’s specificity, and vice versa (not to mention the controversy in their inter-disciplinarity: the Science of the Art, especially for the [intutive]
artists, and the Art of the Science, especially for the 100% positivist/
technologist-mindset engineers).
In this blog post (Dancing Part I) I want to
make an idea that the Artist needs different mental models to think about Dance
and Dancing (on a theoretical, ontological and epistemological level), in order
to understand more engineering visions about these topics; in the next blog
post (Dancing Part II) I will write about how ’MAPP programme’ can be understood
as a decision-support system (for me), in order to get the most out of it,
using a specific engineer approach (the 3-gap model).
Even if the Artist (Dancer) and the Engineer are
both in-depth ”scientists” after all, they position themselves to reality differently:
the way how they think and see things, facts and reality, how they build up their
inventory of their world (physically and virtually) (#ontology), the methods and
the techniques they use to know (feel/ sense) them, how they point out facts
and what they want to show/demonstrate, how they are experimenting ’the’
reality and ’their’ reality, be it a priori and a posteriori (#methodology),
how they think about their engineering and dancing processes (#mental models),
how they become efficient/effective objective/subjective decision-makers and problem
solvers, how, when, and mostly why they use tools, such as technology, decision
supporting systems. [The artist and the engineer John Maeda make very good
points on these topics in his great book ”Redesigning Leadership”; he is also
known for the ”10 laws of simplicity”]
The Artist and the Engineers are two different
entities; I know for fact this: after being an IT engineer for some years (1998-2008),
I have decided to turn to art, specifically dancing (Ballroom, and then
Argentine Tango – Social and Stage) (2008-now). The more I dance and study
about dance, the more data and more information I get, the less I feel I know,
getting me very humble. In a world of an overwhelmingly crowded information and
data noise, in a world of dance where there is not a ’golden standard’ (such as
’the perfect technique’ or at least none that I know of), where each and every
one of your preferred dance teachers/masters/ mentors has their own dance
style, technique, vision, paradigms, no wonder that I, as a (tango) dancer, feel
like lost (#dance data mining).
Ironically, the further away I go from the inner
engineer-guy (in time), the more I need him in my dance theory and practice:
systemic views, mental and process models, decision-making concepts, systems
theory. Just an example: supposing that I want to become A BETTER DANCER (or a
better dance teacher, which are two connected, but different things!), there are
some inherent questions:
Where to start? Which dance path or model is
the best to follow? Whom I have to give my trust in order to receive personalised dance guidance? What does ”better” dancer mean? And what a dancer/
dancing even mean? Why become a better dancer (what is the in-depth motivation)?
What are the real consequences of becoming a real dancer? How do you evaluate
when you have reached your desired level? Which is the criterion to assess that
better dancer you have become? Who is testing you: is self-assessment objective
enough? etc, etc.
[to be continued with Dancing – Agreeing on
disagreement through a 3-gap Model for MAPP (Part II)]
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