Predicting Transitions in Complex Systems

International Workshop
23 - 27 April 2018

Complex dynamical systems can show sudden transitions to very diverse regimes including dangerous ones such as desertification or epileptic seizures. The workshop will focus on new advances in data-driven approaches for identifying,  characterizing and predicting regime transitions, and promoting cross-fertilization across disciplines.

Topics include

  • ecology
  • biophysics
  • data analysis
  • econophysics
  • brain dynamics
  • social networks
  • extreme events
  • complex systems
  • climate dynamics   
  • critical transitions
  • information theory
  • nonlinear dynamics
  • time-series analysis   
  • stochastic processes
  • early-warning signals

Invited speakers

Kazuyuki Aihara (JP)
José María Amigó García (ES)
Dante Chialvo (AR)
Jörn Davidsen (CA)
Henk Dijkstra (NL)
Ulrike Feudel (DE)
Petra Friederichs (DE)
Jordi García Ojalvo (ES)
Emilio Hernández-García (ES)
Holger Kantz (DE)
Mark Kramer (US)
Christian Kühn (DE)
Jürgen Kurths (DE)
Inmaculada Leyva (ES)
Milan Palus (CZ)
Ulrich Parlitz (DE)
Martin Rasmussen (GB)
Hui Ren (CN)
Osvaldo A. Rosso (BR)
Maria V. Sanchez-Vives (ES)
Eckehard Schöll (DE)
Michael Small (AU)
Linda Sommerlade (GB)
Aneta Stefanovska (GB)
Piotr Suffczynski (PL)
John Terry (GB)
Raul Toral (ES)
Lev Tsimring (US)
Michal Zochowski (US)


Scientific Coordinators

Jaroslav Hlinka
(Academy of Sciences of the Czech Republic, Czech Republic)

Klaus Lehnertz
(University of Bonn, Germany)

Cristina Masoller
(Universitat Politècnica de Catalunya, Spain)

Organisation

Mandy Lochar
(Max Planck Institute for the Physics of Complex Systems, Dresden, Germany)

Application

The call for applications is closed.

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Scientific Program

The scientific program is available now.

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