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Registration for Workshops at SysMus19 in Berlin

Participation in a workshop is included in the conference fee.

It is recommended to register as soon as possible, because first come, first served. Remaining tickets can be allocated at the conference by registering on Tuesday morning.

In order to register for the wokshop, all we need is your full name and email address, also in case the workshop leaders want to contact you in advance or afterwards.



The workshops will take place on Thursday, 12 September 2019 between 3pm and 5pm. In total we offer 4 different workshops from which one can be chosen. For detail information have a look at the following description of the four workshops, before choosing one by form below.

Workshop I: Computer in Systematic Musicology (Klaus Frieler)
In the last decade, significant steps towards more user-friendly and reliable software tools for musicological research have been made, which opens up opportunities for new experimental paradigms and methodologies. For example, experiments using a production paradigm are very time-consuming due to the necessary transcription step, which can be now significantly sped up using semi-automatic approaches. Moreover, modern computer-based methods allow characterising and comparing musical stimuli and experimental outcomes in a much more comprehensive, objective and flexible way. Likewise, corpus-based methods are a promising approach for incorporating aspects of music cultural background into cognitive models and allow “distant reading (listening)” approaches to cultural and historical studies of music. These are just some examples for using computers in systematic musicology, where computers serve as a generalised tool for measurement, data analysis, text-processing, presentation, communication and many more.
In this workshop, a brief overview of available tools, techniques and user-scenarios will be given, before the participants engage in a hands-on introduction with carefully crafted examples, exercises and use-cases, which will be based on freely available tools (Sonic Visualiser, MeloSpyGUI, Dig That Lick Pattern/Similarity Search) and data sets (Essen Folk Song Collection, Weimar Jazz Database).
It is recommended to have installed Sonic Visualiser, Audacity, and the MeloSpyGUI on your laptop. A statistics (e.g., R) and a spreadsheet software (e.g., Calc, Excel) are also recommended. No special computer skills are required.

max. 15 participants
Workshop II: Artefact analysis of musical objects (Alan van Keeken)
Artefact analysis is an approach to systematically uncover the ways in which objects are connected to people’s lives. It was developed into a qualitative method by Froschauer and Lueger (2018), who mostly employ it as a tool in organizational studies. It helps to contextualize the affordances, conditions of existence, materiality and “entanglement” of things with human practice, identity and social structure.
In our project, aimed at the history of the “objects of popular music”, we looked to adapt artefact analysis to musicology integrating a wide range of instruments from science and technology studies (STS), to sociology and aesthetics.
In this workshop you will learn to look at musical objects in a different way and use interdisciplinary views to enrichen your respective field of study. After a short theoretical introduction, we will work on a specific musical object to demonstrate the potential but also the limitations of artefact analysis. The workshops aim then is to offer insight in the following aspects of artefact analysis: Research strategy, our description system for musical objects (MOBS), group analysis and “experimental archaeology”.
If you have your musical instruments or listening devices other than your cell phone with you, please feel free to take them to the workshop. We will preferably work with pen and paper.

max. 15 participants
Workshop III: Controlling sound through body movement (Marco Kuhn)
In the field of human-computer interaction, a large number of new commercial interfaces have been designed in recent years in order to ensure a more natural interaction with the computer. These interfaces are mainly used to control music software, computer games or interactive exhibitions. These interfaces usually offer an API (Application Programming Interface), so that these interfaces can also be used for individual purposes e.g. music therapy.
This workshop gives an overview about different interfaces (commercial as well as DIY variants) which can be used to control the sound by body movements. What possibilities are there for connecting to these interfaces, which communication protocols are suitable for interaction and how Max for Live can be used as middleware to convert movements and expressions into sound.
None, we will use the Computer Lab at the SRH University of Popular Arts

max. 15 participants
Workshop IV: Peripheral physiology in music psychology (Katrin Starcke)
Peripheral physiological reactions are bodily reactions such as an increase in heart rate, blood pressure, and sweat gland activity. Peripheral physiological measures are suited to gain inside into the level of participants’ arousal. Thus, it is possible to track participants’ arousal while they listen to a certain piece of music. While questionnaires concerning subjective arousal are usually filled out after listening, peripheral physiological measures allow an ongoing monitoring of arousal. For example, it is possible to investigate whether chills (intense sensations) during music listening are accompanied by peaks in physiological arousal. A combination of subjective (e.g., questionnaires) and peripheral physiological measures (e.g., heart rate, electrodermal activity) is very useful in music psychology.
In this workshop, a brief overview of peripheral physiological indicators is given. Why is arousal accompanied by an increase in heart rate and electrodermal activity? What are advantages and disadvantages of peripheral physiological measures? How are peripheral physiological reactions related to personality? Thereafter we will use our device (Nexus 10 MKII, Mindmedia) and measure reactions of volunteers. Finally, data examples are analysed.
It is recommended to have installed a statistics (e.g., SPSS, R) and a spreadsheet software (e.g., Calc, Excel). No special computer skills are required.​​​​​​​

max. 15 participants

Pre-Get-Together on Monday

Are you planning to attend the Pre-Get-Together on Monday at 7:30 pm at "Die Feinbäckerei"?



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