Sungyeon Hong
  • Research
    • Overview
    • Order, disorder and in-between
    • Information dynamics
    • Embodied complexity
  • Education
  • Engagements
  • Resources
  • FAQ
Complexity · Information · Topology

Research

We are living in a vast ocean of data. As cognitive beings, we continually seek to derive meaning from the information we encounter — identifying patterns, forming abstractions, and constructing narratives that help us navigate an increasingly complex world.

My research asks a simple yet far-reaching question: how do coherent structures emerge from many interacting components without central control? From material organisation and communication networks to embodied human experience, I investigate how local interactions give rise to collective patterns, adaptive behaviours, and shared meaning.

Beginning with my PhD work on geometry-driven hyperuniformity, I became interested in how remarkably simple generative rules can produce striking forms of collective order. More recently, I have extended this perspective to information systems mediated by generative AI, where feedback, adaptation, and communication continually reshape how knowledge is created, circulated, and transformed. Alongside these computational studies, I am exploring embodied complexity through interactive experiences, such as Musical Homeostasis, which invites participants to experience self-organisation, collective dynamics, and equilibrium through collaborative music-making.

Across these domains, I combine ideas from complexity science, cybernetics, and topology to uncover organisational principles that transcend individual systems. Rather than studying any single application in isolation, I seek recurring structures and mechanisms that reveal how complex systems organise, adapt, and remain resilient across diverse domains.

Research themes

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Order, Disorder and In-between

How simple local interactions generate spatial organisation and reveal universal principles of pattern formation.

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Information Dynamics

How information, meaning, and knowledge evolve through communication, feedback, and human–AI interaction.

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Embodied Complexity

How self-organisation, adaptation, and collective behaviour can be experienced through interactive systems and creative media.

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