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Data jockeying

From EverybodyWiki Bios & Wiki

See also: Live coding

Data Jockeying
General Information
Location Worldwide
Related events Algorave, Live Coding
Related topics Live electronic music, VJ, livecoding

Data Jockeying (DJaying) is an event where physiological and physical data is collected, often during a musical performance, and analyzed on the fly. This includes a quick overview of the behavior of the dataset, and plotting basic statistics, differences between groups and individuals, and understanding outliers. Other people interested in playing around with the same data are also invited to create their own plots and statistical interpretations.

Alexander Refsum Jensenius first coined the term Data Jockeying for a series of events titled MusicLab, which feature a concert, a collection of experimental data from an audience, a panel discussion on the theme, and a quick analysis session with Data Jockeying. The data collected and analysed live is projected on a large screen.

Comparable to a large degree to the phenomenon of Live Coding and Algorave, the key difference between these events and Data Jockeying is that DJaying is primarily visual, and more about quick analysis and fun visualizations, and in this sense is no a musical performance as such and more a visual, data performance.

The primary hook for audience interaction is that it is data from the audience members that is remixed visually. Especially if one is wearing sensors in the duration of another performance, the data analysis can demonstrate participant behavior during the performance, which a lot of the audience members find quite interesting. Audience participation in data collection and analysis becomes a core reason for people to participate. Data Jockeying events use anonymized audience data, so everybody who is participating is encouraged to submit a nickname that is referred to for analysis.

The focal attraction of this event is of course the coding interface and screen, which is projected for everyone to see how data is gathered, processed, cleaned, and visualized. This is fun for those who generally do not see the backend of data analysis.

Thus far, Data Jockeying events have been conducted as a part of the MusicLab and MusicHackLab events at the University of Oslo.

References[edit]


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