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Towards a Comparative Analysis of Policy-Making Distribution in Hierarchical Organisations - the Epidemic Management Case Study

  • Institut Polytechnique de Paris
  • University of São Paulo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Large sustainable systems, e.g. human organisations or socio-technical systems, must manage large-scale crises. This implies prompt responses from policy-makers, including an initial reaction followed by repeated adjustments. Policies must be (re)defined under two opposing difficulties: i) the amount of relevant information to collect and process for effective policies; and ii) the urgency required for their implementation. Most large systems handle this issue via hierarchical organisations, distributing information and control across levels. Still, determining appropriate distributions of policy-making across levels remains a non-trivial problem. This position paper explores the nature of this issue via an illustrative case study: epidemics management. By comparing different policy-making distributions - more or less centralised - it highlights the importance of local details for effective local management and for the ensuing global effects. While still exploratory, this initial study brings to the fore the interplay between local and global policies and the impacts of relevant information for scalable and sustainable management.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages55-60
Number of pages6
ISBN (Electronic)9798350389760
DOIs
Publication statusPublished - 1 Jan 2024
Event5th IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2024 - Aarhus, Denmark
Duration: 16 Sept 202420 Sept 2024

Publication series

NameProceedings - 2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2024

Conference

Conference5th IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2024
Country/TerritoryDenmark
CityAarhus
Period16/09/2420/09/24

Keywords

  • adaptive control
  • epidemic management
  • hierarchical organisations
  • multi-scale authority
  • policy-making

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