Title

Network-centric policy design

Publication Type

Journal Article

Publication Date

1-2017

Abstract

Two importantchallenges in policy design are better understanding of the design space, andconsideration of the temporal factors. Moreover, in recent years it has beendemonstrated that understanding the complex interactions of policy measures canplay an important role in policy design and analysis. In this paper theadvances made in conceptualisation and application of networks to policy designin the past decade are highlighted. Specifically, the use of a network-centricpolicy design approach in better understanding the design space and temporalconsequences of design choices are presented. Network-centric policy designapproach has been used in classification, visualisation and analysis of therelations among policy measures as well as ranking of policy measures usingtheir internal properties and interactions, and conducting sensitivity analysisusing Monte Carlo simulations. Furthermore, through use of a decision supportsystem, network-centric approach facilitates ranking, visualisation and selectionof policies using different sets of criteria, and exploring the potential forcompromise in policy formulation. The advantage of the network-centric approachis providing the ability to go beyond visualizations and analysis of policiesand piecemeal use of network concepts as a tool for different policy designtasks to moving to a more integrated bottom-up approach to design. Furthermore,the computational advantages of the network-centric policy design inconsidering temporal factors such as policy sequencing and addressing issuessuch as layering, drift, policy failure and delay are presented. Finally, someof the current challenges of network-centric design are discussed and somepotential avenues of exploration in policy design through use of computationalmethodologies, as well as possible integration with approaches from otherdisciplines are highlighted.

Keywords

policy design, networks, policy patching, policy packaging, policy mixes, visualization, virtual environment, decision support system, computer-aided design

Discipline

Science and Technology Studies

Research Areas

Political Science

Publication

Policy Sciences

Volume

50

Issue

2

First Page

317

Last Page

338

ISSN

0032-2687

Identifier

10.1007/s11077-016-9270-0

Publisher

Springer Verlag (Germany)

Additional URL

http://doi.org/10.1007/s11077-016-9270-0