When
We have booked hotel rooms from Monday through Thursday, so you can arrive anytime on Monday, October 7. Check-in is from 16:00 on Monday, October 7, and check-out is by 12:00 on Thursday, October 10.
Where
Gothenburg, Sweden. We will stay at Scandic G?teborg Central (address "Vikingsgatan 7") and have meetings in venue "Bergen" on the 4th floor. It takes approximately 11 minutes to walk to the hotel from Gothenburg Central Station.
Who
Members from the respective Centers of Excellence.
Preliminary Programme
| Monday October 7 | |
|---|---|
| 15:00 - | Check-in |
| Tuesday October 8 | |
|---|---|
| 06:30 - 09:00 | Breakfast |
| 08:45 - 09:00 | Sign-in |
| 09:00 - 09:30 | Welcome and Center Introduction |
| 09:30 - 10:30 | Flash Presentations |
| 10:30 - 10:45 | Coffee Break |
| 10:45 - 11:30 | Flash Presentations Continued |
| 11:30 - 12:30 | Group Work |
| 12:30 - 13:30 | Lunch |
| 13:30 - 15:00 | Group Work |
| 15:00 - 15:30 | Coffee Break |
| 15:30 - 19:00 | Time on Your Own |
| 19:00 - | Dinner |
| Wednesday October 9 | ||||
|---|---|---|---|---|
| 06:30 - 09:00 | Breakfast | |||
|
Workshops (Parallel Sessions) |
||||
| 09:00 - 10:00 | Machine Learning Org: Kyrre Glette |
Entrainment Org: Jan Stupacher |
Music Performance Org: Laura Bishop |
Clinical Research Org: Nella Moisseinen |
| 10:00 - 11:00 | Neuroscience Methods Org: Boris Kleber |
Interaction Org: Joshua Silberstein-Bamford |
Motion Capture Org: Martin Hartmann |
Qualitative Research Org: Ragnhild Br?vig |
| 11:00 - 11:30 | Coffee Break | |||
| 11:30 - 12:30 | Finalize Presentations | |||
| 12:30 - 13:30 | Lunch | |||
| 13:30 - 15:30 | Presentation of Group Work | |||
| 15:30 - 16:00 | Coffee | |||
| 16:00 - 19:00 | Time on Your Own | |||
| 19:00 - | Dinner | |||
| Thursday October 10 | |
|---|---|
| 06:30-10:00 | Breakfast |
| 09:00-11:00 | Optional: visit to Qualisys headquarters (motion capture manufacturer) |
| 10:00-12:00 | Check out |
Workshops
- Motion Capture (Introductions by Martin Hartmann (MMBB), Finn Upham (RITMO) and Peter Keller(MIB))
This workshop will explore exciting challenges in motion capture within the context of music research, including data integration and analysis, real-time feedback systems, and ethical/legal issues. Topics will cover the complexity of human movement, using both markered and markerless approaches, and the role of mobile devices and naturalistic data collection. The workshop will also emphasize interdisciplinarity, bridging fields like musicology, embodied cognition, biomechanics, computer science, psychology, health, sports, and cross-cultural studies. Join us to discuss the future of mocap in music research! -
Entrainment in music research (Introductions by: Jan Stupacher (MIB), Maja Foldal (RITMO), Patti Nijhuis (MMBB)).
We will discuss some of the questions: Can we integrate the different entrainment levels in a single framework – and should we? How closely should we stick to the original definition of entrainment in physics? Is phase alignment required for entrainment? Is entrainment supposed to be spontaneous? Where is entrainment research heading? We will also discuss some of the more spicy and provocative definitions and uses of entrainment. -
Music Performance (Introductions by: Laura Bishop (RITMO), Peter Keller (MIB) and Marc Thompson(MMBB))
This workshop is about people’s bodily engagement with music in interactive group settings. We will discuss our ongoing research into the psychological processes, brain mechanisms, and patterns of body activity that support entrainment, coordination, and a sense of togetherness. This research has the potential to explain why shared musical experiences can be so emotionally, aesthetically, and socially rewarding. The workshop will discuss challenges, such as how to develop data capture and analysis techniques appropriate for large groups, balance ecological validity with experimental control, and overcome biases in the kinds of music and musical relationships we study. -
Music in clinical research (Introductions: Kira Vibe Jespersen (MIB), Anne-Kristin Solbakk (RITMO), Nella Moisseinen (MMBB)).
Music is an exceptional tool that is both safe and widely applicable across contemporary challenges such as insomnia, neuropsychiatric and neurological conditions, and ‘unhealthy’ aging. In this workshop, we will hear about how music can be used in these contexts yet why the work is not always easy. We will discuss common issues, such as handling analysis work at the intersection of clinical work, arts, and multiple fields of science, and solutions that have led to positive outcomes. -
Qualitative Methods Workshop (Introductions: Guilherme Schmidt C?mara, (RITMO), Ragnhild Br?vig (RITMO), Rebecca Jane Scarratt (MIB), Jaakko Erkkil? (MMBB))
We will explore the “how-to” of the methods, their benefits (including the insights they provide), and some of the challenges associated with them: (a) Qualitative Rhythm Analysis: Analysis of note- and audio signal-based representations of rhythm, with a main focus on the latter. (b) Qualitative Interviews: Conducting qualitative interviews and integrating them with "DAW-fieldwork." (c) Text-Mining and Search Terms: Comparing automatic and manual text mining and identifying effective search terms. (d) Qualitative Strategy Complementing Quantitative Strategy: A qualitative strategy to assist in interpreting quantitative findings in effectiveness research on music therapy. -
Interaction (Introductions: Joshua S. Bamford (MMBB), Jonna Vuoskoski (RITMO), Cecilie M?lller (MIB))
Music is an inherently interactive mode of communication. Making music in an ensemble requires coordination between players. Dancers may bounce and sway on the dance floor as the music creates a shared space to interact with each other. Audiences may clap and cheer, shaping the experience of performers. Perhaps with the exception of private listening to recorded music (a phenomenon barely 100 years old), music requires interaction. Sometimes, this takes the form of temporal coordination, but other forms of interaction also play a role. In this interactive workshop, we will discuss the social nature of music making, how people may interact with each other through music, and how they may be studied. -
Machine Learning (Introductions by Kyrre Glette (RITMO) and Iballa Burunat Perez (MMBB))
This workshop will examine how the different centers use machine learning or other artificial intelligence methods in their practice, with examples of successful use and challenges we face. We will discuss topics such as methodology, toolchains, datasets, multimodality and fusion, and additional issues the participants would be interested in. The workshop session welcomes people interested in applying machine learning in their research, even with little prior experience. -
Workshop on Neuroscience Methods (Introductions by Minna Huotilainen, Alejandro Blenkmann, and Boris Kleber).
The brain’s ability to generate sounds, process sensory feedback, and synchronize with musical and rhythmic patterns offers valuable insights into how these processes influence perception, motor performance, and emotional responses. By utilizing advanced neuroimaging techniques such as M/EEG, ECoG, and fMRI, we can address key questions in music neuroscience about how the brain processes and predicts auditory stimuli, such as music, as well as its role in executing complex motor tasks like vocal production or musical improvisation. This workshop will discuss ongoing research and emphasize practical challenges associated with the various methods and research populations.