Development of a unified framework of methods and approaches that may be applied across disciplines
Within WP2 we will address the key topics that underpin connectivity:
- scaling (ESR6);
- catastrophic/phase transitions or tipping points (ESR4);
- critical nodes (ESRs 1, 9 & 12);
- resilience (ESR13);
- inference of characteristic time-scales (ESR 5) and 6) emergence and self-organization (ESRs 3 & 7).
For each topic existing methods will be examined, developed and tested using approaches from our diverse range of disciplines in order to establish a unified framework for methods across the range of disciplines involved in connectivity science.
WP2 will be achieved by fulfilling the following objectives:
For each topic existing methods will be examined, developed and tested using approaches from our diverse range of disciplines in order to establish a unified framework for methods across the range of disciplines involved in connectivity science.
Objective 2.1
Will provide an integrated view of the different methods employed across these topics and disciplines, highlighting commonalities in methods at the operational and theoretical level.
Objective 2.2
Will synthesize distinct methods that are similar in terms of the theoretical basis and share common ways of quantitatively describing specific aspects of connectivity.
Objective 2.3
Will create a repository or ‘common toolbox’ of Connectivity Science methods.
Objective 2.4
Will provide a synthesis of the various approaches to connectivity from the theoretical perspective and also in terms of generalized algorithms that can be usefully applied across a range of applications.
Objectives 2.2, 2.3 and 2.4
will be jointly addressed by ESRs1, 3-7, 9, 10, 11, 15.
ESR Positions in this Work Package
ESR 1
Durham University (United Kingdom)
Spatial and temporal roles of critical nodes in ecogeomorphic systems
ESR 10
University of Vienna (Austria)
Hotspots and hot moments: the role of connectivity and resilience science for managing human-impacted catchment systems
ESR 15
Durham University (United Kingdom)
Use connectivity science to determine the fate (source-pathway-interceptors) of specific diffuse chemicals and pathogens in the water supply chain
ESR 4
Masaryk University (Czech Republic)
Catastrophic transitions: Regime shifts in network topology resulting in novel systems
ESR 5
Aix Marseille (France)
Analysis of multi-frequency dynamic coherence networks in large-scale electrophysiological recordings
ESR 7
European University Cyprus (Cyprus)
Structure in patterns in ordered datasets with applications in astrophysics, neuroscience and archaeology