Public Policy Modeling and Applications

Miguel A. Fuentes, Claudio J. Tessone, Bernardo A. Furtado
2019 Complexity  
is special issue brings papers on applied policy modeling where the complex nature of the systems (and intervention techniques) plays a significant role. e issue covers a range of applications from crime, finance and trade, infrastructure, and engineering to health policies. In order to tackle these multifaceted problems, a plethora of methodologies is used: extended econometric approaches, large-scale simulations, and theoretical models for which some results can be derived analytically. is
more » ... analytically. is highlights the difficulty of the tasks and the lack of standardized approaches, which also may be seen in a good light as it pinpoints the wide background of the scholars that are approaching these problems. We argue that the current issue gives a good overview of the challenges to be addressed and how the state-of-the-art deals with them. As a final remark, it is worth noticing that the following list of papers is sorted only based on topics-without any underlying judgment. e special issue opens up with the work by the Guest Editors: "Policy Modeling and Applications: State-of-the-Art and Perspectives." is review focuses on methodologies that are, arguably, at the core of the complex systems science: agent-based modeling, network models, dynamical systems, data mining, and evolutionary game theory. e view of all the chosen methodologies is presented having in mind public policy applications. ey illustrate specific experiences of large applied projects in macroeconomics, urban systems, and infrastructure planning. Two expected results of public policies are fostering economic development and show adaptive capacity in case of disruptions. e latter is linked to the concept of resilience. In the research paper by G. Castañeda and O. A. Guerrero, "the Resilience of Public Policies in Economic Development," the authors analyze how the adaptive capacity of the policymaking process generates resilience in the face of disruptions. Further, they develop a computational model, which takes into account different social mechanisms (coevolutionary learning and complex interaction networks) to compute a resilience score against simulated disruptions to the expected evolution. Interestingly, they show that certain policy issues are resilient and others fragile, depending on the context of application. is special issue also brings two papers that focus explicitly on applied policy from a complex systems perspective. e first-"Infrastructure as a Complex Adaptive System" -by E. J. Oughton et al. advocates the need to coordinate govern planning considering interdependencies among infrastructure sectors. e second paper-"A Case Study of Complex Policy Design"-by Buzuku et al. reinforces the need to integrate policy analysis. e authors of the latter propose methodological steps that should guarantee a systematic analysis that covers the space of possibilities paving optimal paths for policymakers. e paper by E. J. Oughton et al. makes a case that infrastructure sectors are increasingly becoming more integrated in tandem with advances in digital and technological
doi:10.1155/2019/4128703 fatcat:hl7kfugmznenbhd256uy3px6oi