Thijs Vroegh

Netherlands eScience Center, Amsterdam

Nice to meet you!

I work as a Research Software Engineer at the Netherlands eScience Center, working with researchers in the social sciences and humanities field. Before that, I worked as a researcher on music-induced states of absorption and related experiences such as flow and mind wandering. I focused on their distinct psychological mechanisms, and how they are associated with aesthetic experiences. My published works cover several topics, including absorption in relation to visual imagery, phenomenology of consciousness, and the application of network modeling. I graduated with a Ph.D. in Musicology from Goethe University, Frankfurt am Main.

This blog is built with blogdown and Hugo, with the Academic theme. I deploy my blog using Netlify. My blog posts are released under a Creative Commons Attribution-ShareAlike 4.0 International License.

Interests

Music and consciousness
Psychometric network modeling
Data science
R and Python
Digital Humanities
Software engineering

Education

PhD., Musicology, 2013 - 2018

Goethe University, Frankfurt am Main
BA and MPhil. Musicology, 2004 - 2009

Utrecht University
MSc. Economics, 1994 - 2000

Wageningen University

Academic experience

Over 10+ years of experience with analyzing data and communicating insights on qualities of music experience

Research Software Engineer

Netherlands eScience Center

Feb 2023 – Present Amsterdam

Applying temporal social network analysis and NLP on letter data from the Era of the the American Revolution
Creating a a new Jasp module for conditional process modeling
Analyzing and comparing paintings from Raphael using computer vision techniques
Developing a new widget to analyse stories for the Orange platform

Researcher

ResearchNed

Apr 2020 – Nov 2021 Nijmegen

Support for 10+ research projects on survey- en registerdata issued by government and educational institutes
Survey programming and development (IBM SPSS Dimensions)

Visiting Researcher

Max Planck Institute for empirical aesthetics (MPI)

Jan 2020 – Jun 2023 Remote (Franfurt am Main)

Developping a questionnaire aimed at measuring various aspects of aesthetic experience
Used network science to model the experience of flow while performing music
Applied a temporal network approach to mind wandering while listening to music

Postdoctoral Researcher

MPI

Jul 2018 – Dec 2019

Utilized Bayesian network modeling and causal discovery algorithms to model connectivity in the subjective mind while listening to music
Coauthored an article centered on several reaction time behavioural experiments to examine the effect of music on task performance
Analyzed music-induced visual imagery as part of an absorbed state of mind with Bayesian networks

Doctoral Researcher

MPI

Dec 2013 – Jun 2018

Completed doctorate on the relation between absorption and aesthetic experience with music
Presented at 10+ international congresses
Used structural equation modeling to analyze and model the competing effects of absorption and self-awareness

Affiliated Researcher

Utrecht University

Dec 2010 – Jun 2012

Worked as course assistant ’qualitative and quantitative methods for reception research’
Wrote grant proposals

Projects

Music as hypnosis? A comparative network analysis of entrancing states of mind

Gallery

Publications

Liila Taruffi, Thijs Vroegh (2023). Music and mind wandering: a temporal network analysis. Manuscript in progress.

Thijs Vroegh (2022). Music-evoked imagery in an absorbed state of mind: a Bayesian network approach. In M. Küssner, L. Taruffi & G. Floridou (Eds.), Music and Imagery: Towards an interdisciplinary framework for research and applications. SEMPRE Studies in the Psychology of Music.

Source Document

Thijs Vroegh (2022). Music as hypnosis? A comparative network analysis of entrancing states of mind. Preprint.

Source Document DOI

Thijs Vroegh (2021). Visual imagery in the listener’s mind: A network analysis of absorbed consciousness.. Psychology of Consciousness: Theory, Research, and Practice. https://doi.org/10.1037/cns0000274.

Source Document