Very interesting topic; Many thanks Roger!
As you said, the question is interesting both ways: measuring and
quantifying the 'un-quantifiable' on one hand and interpreting/
comprehending/ making meaning/ using/ ... data. Very interesting questions
both at a theoretical level, and also in relation to specific practical
questions and examples.
I recently attended an interesting symposium on a very similar field of
questions:
http://www.arch.uth.gr/en/activities/528
My understanding was that the debate was initiated thanks to a new museum/
databases designed in Volos. One of the questions was about how to organise
data so that they then can be experienced in desirable ways (and what is
'desirable'...). How would an interface create the possibility of exciting/
interesting/ creative exploration of the data. How would the user/ visitor
re-create or create/ experience a narrative through some encounter with
the data.
Other studies presented had to do also with the opposite; how can a
narrative/ an experience/ ... be organised, or fragmented, or 'pinned down'
as a sum of data?
I find these questions really interesting, especially when they are related
to specific projects/ case studies.
On Sun, Jun 2, 2013 at 4:42 PM, roger malina <rmalina@alum.mit.edu> wrote:
> Yasminers
>
> here is a possible discussion topic
>
> Big Data Made Sensible ? Making Big Data Meaningful ?
>
> Lots of confusion out there under the buzz word of 'big data' that
> conflates issues of form and content of large
>
> data streams. A key caveat is that you can only analyse the data you
> have not the data you need and of course
>
> as Albert Einstein warned: Everything that can be counted does not
> necessarily count; everything that counts cannot necessarily be
> counted.
>
> There is a big debate between empirical and qualitative methods in the
> arts and humanities.
>
>
> One interesting area that allows new approaches to make sense of large
> data sets is complex network
>
> science= where insights on the structure and interconnections of data
> can be obtained. Leonardo for the past few
>
> years has been championing the research and creative community that is
> linking the arts, humanities and complex networks
>
> through annual Leonardo Day Symposia at the NETSCI conferences. The
> latest one is June 4 in Copenhagen.
>
> http://artshumanities.netsci2013.net/
>
> A Leonardo ebook now brings together the work of 45 artists and
> researchers :
>
> http://www.amazon.com/kindle-store/dp/B007S0UA9Q
>
> (note- if you bought previous editions of this ebook, you
> automatically get the annual updates free).
>
> The work ranges from the study of archeological remains, to social
> media networks, to biological to art history to
>
> network music that sonifies the structure of the web.
>
> We are also having a great evening at the Medical Museum in Copenhagen
> in the old dissection theater
> on The Data Body on the Dissection Table= on complex networks and medicine
>
> http://olats.org/studiolab/databody.php
>
>
> There is no doubt set as data sets get bigger there are new research
> areas that become 'enabled'- for instance the
>
> study of rare events or unusual relationships is facilitated when data
> sets become very large. Digitisation also brings
>
> topics into the reach of numerical methods topics which until then
> remain elusive or apocryphal ( eg the evolution of
>
> language through analysis of millions of texts over 300 years).
>
>
>
> However big data enthusiasts need to remember Einstein's warning that :
>
> Everything that can be counted does not necessarily count; everything
> that counts cannot necessarily be counted.
>
>
>
> PS you can find the abstracts of the ebook at:
>
> http://ahcncompanion.info/
>
> and more discussion on my blog
>
> http://malina.diatrope.com/2013/06/02/big-data-made-sensible/
>
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--
Dr. Anastasia Karandinou
Senior Lecturer in Architectural Design
University of Portsmouth
Portland Building, Portland Street,
School of Architecture
PO1 3AH, Portsmouth, UK
www.karandinou.com
tel. +44 (0) 2392842902
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