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Estuary 0.3: Collaborative audio-visual live coding with a multilingual browser-based platform

Authors: David Ogborn; Jamie Beverley; Nicholas Brown-Hernandez; Alejandro Franco Briones; Bernard Gray; Alex MacLean; Luis N. del Angel; +8 Authors

Estuary 0.3: Collaborative audio-visual live coding with a multilingual browser-based platform

Abstract

Estuary is a browser-based platform for live coding that allows a heterogeneous collection of live coding languages to be used together in collaborative “ensembles”. This paper begins with a broad outline of the history of Estuary’s development, including discussion of the philosophies and accountabilities that guide that development. We then present two of the main directions in which work on Estuary has been concentrated in recent years: (1) towards supporting audiovisual live coding (and not merely musical live coding) through the development and inclusion of languages focused on visual results (in close connection with musical concepts), and (2) towards supporting diverse use cases by evolving into a modular “sandbox” where live coding languages, widgets (including some focused on intra-ensemble communication), and media resources are brought together “on-the-fly" in flexible ways. Reflections on specific applications of Estuary in different contexts are interspersed throughout, with a penultimate section focusing on some further applications, largely in educational settings. The paper concludes with brief remarks about directions for future work.

Keywords

live coding

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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