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