Júlia Perczel

Year of Enrollment: 
2016 to 2022

Júlia Perczel is a PhD candidate at the Department of Network and Data Science at CEU. Holding an MA in Art History and in Social and Organizational Psychology, she is interested in integrating qualitative and quantitative methodology as well as incorporating big data analysis while trying to better understand cultural production in the contemporary art world. In her PhD research, she is focusing on better understanding the ways underlying network structure, positions, and core-periphery power-relations influence the ways of incorporation of CEE artists into core art collections and global art canon. She is interested in topics related to post-WWII and contemporary art practices as well as in questions related to the sociology of art and culture. Before starting her PhD she worked as a member of the research group of Kassák Museum and published reviews and art theoretical essays in several art journals.

Blog posts by or about Júlia on What's Up at DNDS:

Mapping Multimodality of Cities - A Data Driven Approach for Improvement

A Multi-Level Structural Approach Towards Canon-Formation

“The more the closure, the more open one may become…” – A lecture by Professor David Stark

The Influence of Core-Periphery Relations on the Process of Canon-Formation

Multiplexity Entering the Game

Pop in to the Evolution of Physics

Network Based Mapping of Psychological Disorder Related Symptoms in the Aid of Improving Therapeutic Practices


BA, MA in Psychology (Social and Organizational Psychology), Eötvös Loránd University, Budapest
BA, MA in Art History (Post-WWII and Contemporary Art), Eötvös Loránd University, Budapest