After his studies of popular music and electronic media Matthias has worked in audiovisual projects, audiolabs as well as educational and cultural programs. Being thrilled by combining these areas of work, he went to Australia, where he was part of the German Film Festival team in Melbourne. After that he worked for Soundtaxi, a production music library as well as IOSONO, where he was concerned with the workflow and DSP of a reverberator for 3D audio. During that time, he was regularly involved in international training programs of the Goethe-Institut and foreign ministry of Germany and engaged in consulting popmusic related processes.
Before comming to Kristiansand, Matthias worked for Berlin's music academy designing training programs for young artists and engineers in cooperation with a set of universities in Germany. Most recently he was heading the curation team of Most Wanted: Music conference and Hybrid Music Lab - both centered around the topic of music technology.
Amplified connections - exploring performative co-creation and distributed creativity in the context of accessible music creation technologies (PhD project started in September 2020)
In the past years we have seen considerable advances within Artificial Intelligence (AI) technology and its application to the field of music. While plenty of research is directed towards information retrieval and generative approaches, fewer studies focus on interactive applications connected to live audiences.
The main goal of the project will be to investigate the role of and interaction with autonomous technology with a special focus on the accessibility these technologies bring towards audiences. This includes the following questions: What are the functions and design strategies for participatory performance technologies and in what ways can these be modelled? How is autonomous technology altering the relational qualities between human, non-human performers and audiences? What role does personalised media play within these settings? How do visions of future performance technology voiced by performers, audiences and developing entities influence the technological evolvement?
Theoretical foundations for approaching these questions involve machine learning, popular music studies, human-computer interaction and design studies, phenomenology and embodied cognition, social informatics and behaviour studies. The project intents to use both experimental and qualitative methods that are inspired by studies on human and artificial creativity, audience studies and design studies. More specifically, after categorising respective concepts and technologies, a set of cases will be selected and studied involving the perspectives of expert performers, developers and audiences. The study then plans to test on developed ML approaches for interactive performance contexts within live performance settings.
In conclusion, the project wants to contribute to the question, how to make the best use of the available interactive technologies to meaningfully connect human and artificial performers for offering novel participatory experiences along the performer-listener spectrum.
Jung, Matthias (2011): Evaluation of a room simulation model on the basis of array measurements, Master thesis at Stuttgart Media University
Jung, Matthias (2007): Assymmetrical rhythmic structures in the music of the Don Ellis Orchestra (1966/67), Bachelor thesis at University Paderborn
Philtrat Magazin Köln (2021): "Zukunftsmusik" - interviewed by Rebecca Mackensen - link to the interview in German
CCB Magazine (2018): "This isn't just about music..." - interviewed by Jens Thomas - link to the interview in English
Jung, Matthias und Seedorf, Marten (2018): Klanglabor Klassenzimmer - article on electronic music education and new media learning - link to the article in German
Jung, Matthias (2012): Baustelle Popmusik, Neue Musik Zeitung - article on popmusic funding - link to the article in German
Last changed: 19.08.2021 13:08