Hierarchical Analysis of Complex Dynamical Systems
  • 9-11 March 2016: HIERATIC meeting, Jena.
  • 1-2 October 2015: HIERATIC meeting, Birmingham.
  • 9 July 2015: The programme for the HieDy workshop at ECAL 2015 is now online.
  • 29 April-1 May 2015: HIERATIC meeting, Birmingham.
  • 6 March 2015: HIERATIC will organise the HieDy workshop at ECAL 2015.
  • 11 December 2014: HIERATIC year 2 review, Brussels.
  • 17-18 September 2014: HIERATIC meeting, Jena.
  • 3-4 April 2014: HIERATIC meeting, Sheffield.
  • 20 January 2014: HIERATIC year 1 review, Brussels.
  • 27-29 October 2013: HIERATIC meeting, Chalmers, Gothenburg.
  • 22-23 May 2013: HIERATIC meeting, Jena.
  • 6-7 Dec 2012: HIERATIC kick-off meeting, Birmingham.
This project has received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement no 316705.
HIEDY 2015

HIERATIC will organise the HieDy workshop at the 13th European Conference on Artificial Life (ECAL 2015), in York, 24 July 2015.

Please submit abstracts for presentations by May 31.

HIERATIC is 3-year collaborative research project between the University of Birmingham, Friedrich Schiller University of Jena, Chalmers University of Technology and the University of Sheffield, funded by the European Union FP7 programme, under the Dynamics of Multi-Level Complex Systems (DyM-CS) call.

The central aim of HIERATIC is to develop a new framework for understanding complex systems as a multi-level hierarchy of sub-systems using non-linear decompositions.

To achieve this goal, HIERATIC is structured in three interlinked sets of activities: theoretical work, deriving the novel mathematics required to identify suitable non-linear state space reductions of complex systems; software development of efficient multi-scale simulation and prediction libraries; demonstrators, illustrating the power of our results - network dynamics, cell cycle simulations, social interactions in animals.

The theoretical work will use unconventional approaches from topology and dynamical systems theory to derive an algorithmic approach to identifying "coarse-grainings" of large complex systems. These algorithms will be used to develop highly efficient simulation and prediction tools, integrated with the world-leading software libraries MASON and PRISM. The demonstrators will show the potential application of these techniques, in a range of applications, including validation on large empirical data sets.

The project brings together leading researchers in complex systems theory, biosystems, multi-agent simulation, and experimental ecology, from around the EU and USA.