Understanding the emergence of connectivity science in practice: a network of network colleagues

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  1. To map the ways in which social relationships and knowledge production are developed and co-evolve during i-CONN among team members, using a mixture of qualitative empirical data and social network analysis conducted on the i-CONN network itself;
  2. To undertake ethnography of meeting and training workshops to better understand how relationships and knowledge production change over time;
  3. Identify different types of network features and dynamics within the network of researchers from analysis of empirical data;
  4. Use analysis of empirical data to inform training of the i-CONN project team;
  5. Examine a series of real-world applications in conjunction with partners, which could benefit from understanding multilayering between social network analysis  and mechanisms and processes for knowledge production. Secondary data from partners will be used and supplemented if necessary by empirical data collection;
  6. Reflect on the contribution that i-CONN makes to Connectivity Science.

Expected Results

  1. Data and analysis of social relationships and knowledge production in i-CONN;
  2. A detailed understanding of social network dynamics and networks of knowledge production and how these could be better utilised in real work situations such as catchment management;
  3. An understanding of multi-layering between social and networks and knowledge production.

Other Positions in Structures and Properties

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AAISCS (Cyprus)

Connectivity within network processes and coupling with global flows

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University of Groningen (Netherlands)

Understanding the emergence of connectivity science in practice: a network of network colleagues

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


Durham University (United Kingdom)

Scaling connectivity science in fluvial systems