Policy Modeling and Applications: State‐of‐the‐Art and Perspectives

Furtado, Bernardo Alves; Fuentes, Miguel; Tessone, Claudio J.

doi:10.1155/2019/5041681

Cited by 11 publications

(7 citation statements)

References 132 publications

(137 reference statements)

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“…To analyse this declarative process, we are interested in UniqueTraces(D AD1 ), which is (1,2,5), (1,5,2), (1,2,6), (1,2,3,4), (1,2,5,6), (1,5,2,6), (1,2,3,4,5), (1,2,3,5,4), (1,2,5,3,4), (1,5,2,3,4), (1,2,3,4,6), (1,2,3,4,5,6), (1,2,…”

Section: Declarative Processes and Unique Tracesmentioning

confidence: 99%

“…then one finds those traces that the parents intended in the first place: (1,2,5,6), (1,5,2,6), (1,2,3,4,6), (1,2,3,4,5,6), (1,2,3,5,4,6), (1,2,5,3,4,6), (1, 5, 2, 3, 4, 6)}.…”

Section: Declarative Processes and Unique Tracesmentioning

confidence: 99%

“…We present a method for calculating and analyzing stakeholder utilities of processes that arise in, but are not limited to, the social sciences. These areas include business process analysis [18], healthcare workflow analysis [3], [10], [13] and policy process analysis [11], [1], [6], [7]. This method is quite general and applicable to any situation in which declarativetype constraints play a part.…”

Section: Introductionmentioning

confidence: 99%

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Stakeholder Utility Measures for Declarative Processes and Their Use in Process Comparisons

Dukes

2022

IEEE Trans. Comput. Soc. Syst.

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We present a method for calculating and analyzing stakeholder utilities of processes that arise in, but are not limited to, social sciences. These areas include business process analysis, healthcare workflow analysis, and policy process analysis. This method is quite general and applicable to any situation in which declarative-type constraints of a modal and/or temporal nature play a part. A declarative process is a process in which activities may freely happen while respecting a set of constraints. For such a process, anything may happen so long as it is not explicitly forbidden. Declarative processes have been used and studied as models of business and healthcare workflows by several authors. In considering a declarative process as a model of some system, it is natural to consider how the process behaves with respect to stakeholders. We derive a measure for stakeholder utility that can be applied in a very general setting. This derivation is achieved by listing a collection of properties that we argue such a stakeholder utility function ought to satisfy and then using these to show that a very specific form must hold for such a utility. The utility measure depends on the set of unique traces of the declarative process, and calculating this set requires a combinatorial analysis of the declarative graph that represents the process. This builds on previous work of Dukes and Casey (2021) in which the combinatorial diversity metrics for declarative processes were derived for use in policy process analysis. The collection of stakeholder utilities can themselves then be used to form a metric with which we can compare different declarative processes to one another. These are illustrated using several examples of declarative processes that already exist in the literature.

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Section: Declarative Processes and Unique Tracesmentioning

confidence: 99%

“…then one finds those traces that the parents intended in the first place: (1,2,5,6), (1,5,2,6), (1,2,3,4,6), (1,2,3,4,5,6), (1,2,3,5,4,6), (1,2,5,3,4,6), (1, 5, 2, 3, 4, 6)}.…”

Section: Declarative Processes and Unique Tracesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Stakeholder Utility Measures for Declarative Processes and Their Use in Process Comparisons

Dukes

2022

IEEE Trans. Comput. Soc. Syst.

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“…To date, many methodologies like network science are developed to demonstrate the complex participation networks involving multiple stakeholders [16]. Social Network Analysis (SNA) is a method proposed by sociologists to measure the positions and structural characteristics of relationships between social actors [17,18].…”

Section: Online Public Participation In the Transport Policy-mentioning

confidence: 99%

Demonstration of Participation Networks in Urban Transport Policy of Public and Private Sectors through Social Media: The Case of Bike-Sharing Pricing Strategy in China

Chen

Hua

et al. 2021

Journal of Advanced Transportation

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Social media has become a valuable platform that enables public and private stakeholders to participate and interact in various transport policies. Using a network-based perspective and a case study of bike-sharing pricing strategies in China, this paper aims to quantitatively characterize the pattern and structure of multi-stakeholders engagement networks. Furthermore, this paper also empirically examines the confirmation bias that might exist among participants. Dataset on retweets from the Chinese Twitter-Sina Weibo is collected. Results reveal two types of important actors with unequal roles in terms of information diffusion: the “network root” and the “network bridge.” The former is mainly comprised of organizations and influential individuals who dominate message sharing, whereas the latter is comprised of the general public with various occupational backgrounds who control the efficiency and the scope of information spreading. The result also reveals a hierarchical structure in both networks and a community gathering like-minded individuals. The empirical result also demonstrates the existence of echo chambers in the transport participation network of governments and enterprises. Most echo chambers operate such that organizations or influential individuals amplify the views of the general public with more critical viewpoints. These findings of this study can assist transport stakeholders in crafting more sustainable strategies based on the understanding of uneven patterns in online public participation. Furthermore, this study sheds insights on how social media could be used to facilitate the collection of diverse people’s opinions and the evaluation of multi-stakeholder engagement for major transport issues.

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“…Policies are the product of the interaction of agents and institutions in time and space in which knowledge of the current state provides only incomplete views of future states of the system [10]. There are different types of systems based on their characteristics.…”

Section: A Policy Modelling For Complex Adaptive Systemsmentioning

confidence: 99%

Evaluating Optimal Lockdown and Testing Strategies for COVID-19 using Multi-Agent Social Simulation

Dunuwila

Rajapakse

2020

2020 2nd International Conference on Advancements in Computing (ICAC)

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COVID-19 pandemic has become a major concern due to its rapid spread throughout the world. We can observe some countries are successful in formulating effective strategies for managing the pandemic, while some are struggling. The research is based on the question of formulating effective policies for COVID-19 to reduce community transmission. While many countries are suffering from the pandemic, it is a critical issue that the policymakers should be concerned with formulating effective policies to address the problem. We use computational methods to foresee the future by creating a simulation model based on multi-agent and simulation methodology because it is not always possible to predict the future state of a complex adaptive system. The data are collected through a survey and the literature to calibrate the model parameters to build a constructive and realistic model. Once the model is constructed, the simulation results are compared with the real-world observations to validate the model. The implementation of the model follows an iterative process for improving the validity of the model. This paper presents the conceptual model of the system being investigated and its initial implementation, which needs to be calibrated further with empirical data before using it as a decision support tool.

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Policy Modeling and Applications: State‐of‐the‐Art and Perspectives

Cited by 11 publications

References 132 publications

Stakeholder Utility Measures for Declarative Processes and Their Use in Process Comparisons

Stakeholder Utility Measures for Declarative Processes and Their Use in Process Comparisons

Demonstration of Participation Networks in Urban Transport Policy of Public and Private Sectors through Social Media: The Case of Bike-Sharing Pricing Strategy in China

Evaluating Optimal Lockdown and Testing Strategies for COVID-19 using Multi-Agent Social Simulation

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