Introducing the Networked Music Performance Library

Author:

Pilchen Daniil,Wilson Rebekah

Abstract

In this article we present the Networked Music Performance Library, which documents research and practice in the field of networked music performance. The library was developed in response to the skyrocketing interest in networked music due to social distancing and travel restrictions during the COVID-19 pandemic in 2020. In this article, we discuss the library’s working environment and briefly describe several similar earlier projects by other researchers. The main goals we set for the library were to collect materials, organise accessible and straightforward ways of navigating the collection, including knowledge from a wider context of time-based arts (theatre, dance and other time-based art forms), and create a community of users and contributors. We describe the main methods we use to find the works for the library and examine the current state of our collection, which has grown in the last year. Through an analysis of the entries’ metadata, we provide several examples of professionals’ use of the library. Current library users include performing musicians, teachers and composers. As the project is ongoing, we outline the scope of our future work as well as analyse several possible post-COVID applications for networked music, which include assisting socially isolated musicians, teaching, travel and new pandemics. We also show how this library could contribute to the development of new electroacoustic approaches.

Publisher

Cambridge University Press (CUP)

Subject

Computer Science Applications,Music

Reference68 articles.

1. A Distributed Memory for Networked Livecoding Performance;Sorensen;International Computer Music Association,2010

2. Analyzing the Effects of Social Distancing on the COVID-19 Pandemic in Korea Using Mathematical Modeling

3. Being Together – Or, Being Less Un-together – with Networked Music;Wilson;Journal of Network Music and Arts,2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3