Decomposing Multivariate Information in Complex Systems

International Workshop
05 - 09 June 2023

Information decomposition seeks to partition the total information provided by a set of sources into its unique, redundant and synergistic components, a task that is not addressed by Shannon’s information theory. This workshop aims to bring together the entire community of researchers working on this problem into a single venue for the first time.

Topics include

  • Historical background
  • Existing progress on information decomposition
  • Novel measures and approaches
  • Lattices and algebraic structures
  • Continued development of existing approaches
  • Quantifying computation, emergence and causality in physical systems
  • Applications in neuroscience
  • Information decomposition for robotics and AI
  • Biological and biology-inspired applications

Invited speakers

Nihat Ay (DE)
Randall Beer (US)
Marilyn Gatica (UK)
Jürgen Jost (DE)
Alexandra Jurgens (FR)
Artemy Kolchinsky (JP)
Joseph Lizier (AU)
Daniele Marinazzo (BE)
Xueyan Niu (CN)
Eckehard Olbrich (DE)
Stefano Panzeri (DE)
Daniel Polani (UK)
Viola Priesemann (DE)
Fernando Rosas (UK)
Greg Ver Steeg (US)
Raul Vicente (EE)

Scientific Coordinators

Conor Finn
Leipzig, DE

Ari Pakman
Beer Sheva, IL

Michael Wibral
Göttingen, DE


Claudia Domaschke

MPIPKS Dresden


Poster [pdf-file]


Application is closed.

Scientific Program

We plan for a 5-day workshop from Monday morning to Friday afternoon, with arrival on Sunday (4th June).


How to reach us


Useful information for your way to the venue.