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1. ImMApp: Ver 0.2: Installation Environment
7 months ago
This short film introduces the creative output of a practice based research project undertaken in association with the CRiSAP Research Unit (Creative Research into Sound Arts Practice), London College of Communication, University of the Arts London. The film comes from the DVD prepared as part of the final doctoral submission and is supported by a 36,000 word written thesis.

The aim of the project has been to develop a critical framework with which to approach historical and contemporary practice. This aspect of the work has been informed by Michel Foucault's "Archeaology of Knowledge", and the more diffuse theorisings of Giles Deleuze and Felix Guattari.

The first part of the film introduces a critical ontology of practice as derived from these theorists and provides a short overview of the scope and nature of the ImMApp dataspace.

The next section offers a historical flythough where we visit some emblematic years of the 20th and 21st century (e.g. 1916, 1939, 1945, 1955, 1968, 1977.....)

The final section of the film provides a sounding entry into the type of practice that occur within certain geographical contexts (England, Germany, Canada, Australia).

Hence we visit a series of digital assemblages that have been programmatically generated from the ImMApp database of sound art.

The depth of the exploration of the artists, and their works is, in the presentation, all too brief. The ImMApp environment is populated with over 250 artists, 3000+ works, 800+ audio samples and 200 video files. The purpose behind posting the film online is to allow those artists whose work features in the database to understand the nature of the project, and to hopefully give their permisssion for their material to be used in this way.

The project is entirely educational and research orientated. The first iteration of the project, a web-based database application can be viewed here:
vimeo.com/4232320
  • becky 7 months ago
    amazing demonstration of connectivities and visual format leaps away from usual linear ways of approaching data basing - love it
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