Big Data Made Sensible ? Everything that can be counted does not necessarily count; everything that counts cannot necessarily be counted.

Colleagues

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. 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.

 

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.

 

http://www.amazon.com/kindle-store/dp/B007S0UA9Q

 

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

 

Note of related interest; the Leonardo ebook Art and Atoms looks at connections between the arts and chemistry

and the nano sciences.

http://www.amazon.com/Art-and-Atoms-ebook/dp/B00A9Y3ZCW

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/

NetSci 2012

NetSci 2011

NetSci 2010

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