TY - GEN
T1 - Towards a Comparative Analysis of Policy-Making Distribution in Hierarchical Organisations - the Epidemic Management Case Study
AU - Jolivet, Jeanne
AU - Raymond, Julien
AU - Diaconescu, Ada
AU - Di Felice, Louisa Jane
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - 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.
AB - 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.
KW - adaptive control
KW - epidemic management
KW - hierarchical organisations
KW - multi-scale authority
KW - policy-making
U2 - 10.1109/ACSOS-C63493.2024.00031
DO - 10.1109/ACSOS-C63493.2024.00031
M3 - Conference contribution
AN - SCOPUS:85214797397
T3 - Proceedings - 2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2024
SP - 55
EP - 60
BT - Proceedings - 2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2024
Y2 - 16 September 2024 through 20 September 2024
ER -