
doi: 10.7557/5.4955
Keynote presentation. Is it possible to do experimental music research completely openly? And what can we gain by opening up the research process from beginning to end? In the talk I will present MusicLab, an open research project at the University of Oslo. The aim is to explore new methods for conducting research, research communication, and education. Each MusicLab event is organized around a public music performance, during which we collect data from both musicians and audience members. Here we explore different types of sensing systems that work in real-world contexts, such as breathing, heartbeat, muscle tension, or motion. The events also contain an edutainment element through panel discussions as well as "data jockeying" in the form of live data analysis. The collected data is made publicly available, and forms the basis for further analysis and publications after the event. Opening up the research process is conceptually, practically, and technologically challenging for everyone involved. The benefit is that it has helped us solve a number of issues when it comes to GDPR and copyright. It has also pushed our research in directions that we previously had never thought about, and helped us communicate this to new users.
| selected citations These citations are derived from selected sources. 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
