General introduction 

'each graph is like a novel' (AL)

Event inspired by "Une pratique d’écriture au 21e siècle" text:
[[Une pratique english translation]]

interview:   detect fraude in health insurance, false deals made by practicioners;   use the data they collect to try and find fraud but also non-efficient   behaviour
cutting   down costs of expensive medicine, output of the research on what kind   of expensive medicing people are using: 9 methods of calculations also   strategies for the ministry: she nees to understand the complexity of   the possible answers of the question. Data calcullations depending on   the parameters there are 9 scenario,s interesting to look at how to  make  the other scenarios visible when you only look at it from one=  starting  point for an artistic project on this.

The potatoe scenario
karin   Ulmer is working in orgnisation on the trade of food in the EU. lately   there has been discussion TTP transatlantic trade agreement eu and US.   This trade agreement is based on data and statistics but this way food   becomes numbers, calories you eat etc it becomes a commodity ? Not   neutral ? It becomes a problematic dataset...Why the potatoe ? its one   selected element that runs through all these datasets and regulations   and can be used as a means to show:
"The potato as a looking glass" to look at these different steps of how a technology determins what you do with it:

https://c2.staticflickr.com/4/3487/4077910036_69a5488cc7.jpg ("The potato as a looking glass")
    processing of it as languagehow legal texts are constructed and justified by lots of statistics and quantative 
      nicola: retracing how it came about: discovery of the importance of   statistics, In constant we were/are interested in culture and working   together, 
create a profile and turn it into something to work with. 
creating   aggregates in statistic approaches, f;ex. Flickr (promotor of CC   licenses), normative overview of tags (holidays, wedding.... all   different uses of the collaborative tool disappear)
-> happens at level of content + industries of profiling

try   to make use of data behave according to the model, interesting because   insight into what happens with an idea and how it is transposed and   transformed into another context;
statistics powerfull tool to express or give an image to show what a collection of people, a collective, a community, is. 

avoid  the aspect of statistics when it formalizes and normalizes. on the  other hand you want? to harness the possibilities of statisticis ?  against and for it
at the level of the community not the level of the individual, risk to fall at the level of generalizations 
against & for it, no black-white position

this week try to navigate between those ? two things (being pro & contra)
interested   in visualization of statistics but also this week try to problematize   the idea of visualization. What is visualization ? What is problematic   about it ? What tools are being used and what are the decissions behind   these tools (who made this tools and who chose them based on what   rationality)
Push the daisie....I mean Tools ;-) and make them come up ! https://www.youtube.com/watch?v=6PAzqBUNlCs 
correlation with music :-° 

question & recreate what is to be visualized, most of the time the tools lack the capacity to relate.

important to talk about aesthetics: relation between aesthaetics & result that seems believable/convincable
ex Sur écoute. Esthétique de l'espionnage,  by Peter Szendy (book),  listining to a melody = detecting patterns  (remembering &  anticipating), we find this back in statistics! the  pleasure when we  feel that the result seems right

lots of laws are based on statistics.. 
if datasets would not be there if it were not to support the texts for the TTP would not be there
relationship between texts and numbers, maths

behind every word there is a count/number ; the background noise--> try to see them always in relation these 2 weeks

[[data in french and latin]] means given, be suspicious of data we also need to talk about the context. 

about data/donnees/givens, Tyler Reigeluth proposes as an alternative to use "digital traces":
Why data is not enough:  Digital traces as control of self and self-control

Look at projects from the bottom up and data donations