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Visual Access to an Agent-based Simulation Model to Support Political Decision Making

Ruppert, Tobias and Bernard, Jürgen and Ulmer, Alex and Lücke-Tieke, Hendrik and Kohlhammer, Jörn (2014):
Visual Access to an Agent-based Simulation Model to Support Political Decision Making.
ACM, New York, In: i-KNOW 2014, In: ACM International Conference Proceedings Series; 889, DOI: 10.1145/2637748.2638410,
[Conference or Workshop Item]

Abstract

Decision making in the field of policy making is a complex task. On the one hand conflicting objectives influence the availability of alternative solutions for a given problem. On the other hand economic, social, and environmental impacts of the chosen solution have to be considered. In the political context, these solutions are called policy options. To tackle societal problems a thorough analysis of policy options needs to be executed before a policy can be put into practice. Computational simulation is a method considered for measuring the impacts of policy options. However, due to their complexity, the underlying models and their output may be difficult to access by decision makers. In this work, we present a visual-interactive interface for an agent-based simulation model that enables decision makers to evaluate the impacts of alternative policy options in the field of regional energy planning. The decision maker can specify different subsidy strategies for supporting public photovoltaic installations as input and evaluate their impact on the actual adoption via the simulation output. We show the usability and usefulness of the visual interface in a real-world example evolved from the European research project ePolicy.

Item Type: Conference or Workshop Item
Erschienen: 2014
Creators: Ruppert, Tobias and Bernard, Jürgen and Ulmer, Alex and Lücke-Tieke, Hendrik and Kohlhammer, Jörn
Title: Visual Access to an Agent-based Simulation Model to Support Political Decision Making
Language: English
Abstract:

Decision making in the field of policy making is a complex task. On the one hand conflicting objectives influence the availability of alternative solutions for a given problem. On the other hand economic, social, and environmental impacts of the chosen solution have to be considered. In the political context, these solutions are called policy options. To tackle societal problems a thorough analysis of policy options needs to be executed before a policy can be put into practice. Computational simulation is a method considered for measuring the impacts of policy options. However, due to their complexity, the underlying models and their output may be difficult to access by decision makers. In this work, we present a visual-interactive interface for an agent-based simulation model that enables decision makers to evaluate the impacts of alternative policy options in the field of regional energy planning. The decision maker can specify different subsidy strategies for supporting public photovoltaic installations as input and evaluate their impact on the actual adoption via the simulation output. We show the usability and usefulness of the visual interface in a real-world example evolved from the European research project ePolicy.

Series Name: ACM International Conference Proceedings Series; 889
Publisher: ACM, New York
Uncontrolled Keywords: Business Field: Visual decision support, Research Area: Human computer interaction (HCI), Information visualization, Visual analytics, Policy modeling, Simulation models, Agent based technologies
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: i-KNOW 2014
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1145/2637748.2638410
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