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Exploring indicators of system-of-systems resilience: outcomes of a health systems design workshop at an international conference

Published online by Cambridge University Press:  16 May 2024

Valeria Pannunzio ,
Alexander Komashie ,
Sebastian Walsh ,
Richard Milne ,
Timoleon Kipouros ,
Guillaume Lamé ,
Anja Maier ,
Carol Brayne  and
P. John Clarkson
Valeria Pannunzio*
Affiliation:
University of Cambridge, United Kingdom
Alexander Komashie
Affiliation:
University of Cambridge, United Kingdom
Sebastian Walsh
Affiliation:
University of Cambridge, United Kingdom
Richard Milne
Affiliation:
University of Cambridge, United Kingdom
Timoleon Kipouros
Affiliation:
University of Cambridge, United Kingdom
Guillaume Lamé
Affiliation:
CentraleSupélec, France
Anja Maier
Affiliation:
University of Strathclyde, United Kingdom Technical University of Denmark, Denmark
Carol Brayne
Affiliation:
University of Cambridge, United Kingdom
P. John Clarkson
Affiliation:
University of Cambridge, United Kingdom
*
[email protected]

Abstract

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This contribution departs from an existing model, the Design Framework for Systems-of-Systems Resilience, to explore systems resilience issues across the health, environmental, and economic domains. The reported research activities include 1) a rapid review to collect a set of systems indicators and 2) a design workshop employing causal loop diagramming to map expected causal influences between indicators. Through this exercise, we examine key themes in this research domain and outline directions for further enquiry, while involving members of the design research community in an open dialogue.

Keywords

resiliencecomplex systemsself-optimising systems
Type
Systems Engineering and Design
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 2675 - 2684
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

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