Catastrophic transitions: Regime shifts in network topology resulting in novel systems

featured image caption

Objectives

Using secondary data from other research projects or statistical offices:

  1. To apply network-based approaches to multiple systems to explore how shifts in network topology result in novel systems in a comparative perspective;
  2. To determine, via comparative analysis, if there are universal characteristics in network topology valid across multiple cases that can be used to anticipate a transition between states;
  3. To explore catastrophic transitions at multiple scales in different contexts; for example, in river systems, land-use change, transitions between different sleep states, brain activity, transitions in political and energy systems.

Expected Results

  1. Understanding the commonalities of changes in network topology that
  2. can be used to understand the drivers and dynamics of catastrophic transitions, and
  3. the potential for their reversal.

Secondments

Host Months Aim

IIASA (Brian Fath), MODUL University (Christian Kerschner) and Groningen University (Christina Prell)

14

Training on network terminology for understanding regime change and training in social processes (e.g. political transitions) and the concept of resource flows.

Jacobs University (Marc Thorsten-Hutt)

15

Conceptual training on minimal models of catastrophic transitions.

European University Cyprus (Vicky Papadopoulou)

20

Use graph theoretical tools to understand/identify those structures/ parts of network topology that determine how shifts in network topology result in novel systems.

University of Durham (Laura Turnbull and Rebecca Hodge)

24-25

Transdisciplinary exploration of learned key concepts by applying learned approaches to datasets on landscape change and river systems.

AAI Scientific Cultural Services (Andreas Ioannides)

24-25

Quantifying sleep transitions and spindles and k-complexes.

Aix-Marseille University (Demian Battaglia)

24-25

Construction and simulation of realistic brain networks with Connectome-based SC operating close to the critical point at rest, resulting in a systematic exploration of the network’s dynamic repertoire composed of metastable states and ghost attractors.

Other Positions in Network Graphs

ESR 2

Jacobs University (Germany)

Minimal models of dynamics on networks to study generic SC/FC relationships

ESR 3

Jacobs University (Germany)

Self-organized collective patterns on graphs

ESR 4

Masaryk University (Czech Republic)

Catastrophic transitions: Regime shifts in network topology resulting in novel systems