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Information Visualization and Policy Modeling

Information Visualization and Policy Modeling

Kawa Nazemi, Martin Steiger, Dirk Burkhardt, Jörn Kohlhammer
Copyright: © 2014 |Pages: 41
ISBN13: 9781466662360|ISBN10: 1466662360|EISBN13: 9781466662377
DOI: 10.4018/978-1-4666-6236-0.ch011
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MLA

Nazemi, Kawa, et al. "Information Visualization and Policy Modeling." Handbook of Research on Advanced ICT Integration for Governance and Policy Modeling, edited by Peter Sonntagbauer, et al., IGI Global, 2014, pp. 175-215. https://doi.org/10.4018/978-1-4666-6236-0.ch011

APA

Nazemi, K., Steiger, M., Burkhardt, D., & Kohlhammer, J. (2014). Information Visualization and Policy Modeling. In P. Sonntagbauer, K. Nazemi, S. Sonntagbauer, G. Prister, & D. Burkhardt (Eds.), Handbook of Research on Advanced ICT Integration for Governance and Policy Modeling (pp. 175-215). IGI Global. https://doi.org/10.4018/978-1-4666-6236-0.ch011

Chicago

Nazemi, Kawa, et al. "Information Visualization and Policy Modeling." In Handbook of Research on Advanced ICT Integration for Governance and Policy Modeling, edited by Peter Sonntagbauer, et al., 175-215. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-6236-0.ch011

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Abstract

Policy design requires the investigation of various data in several design steps for making the right decisions, validating, or monitoring the political environment. The increasing amount of data is challenging for the stakeholders in this domain. One promising way to access the “big data” is by abstracted visual patterns and pictures, as proposed by information visualization. This chapter introduces the main idea of information visualization in policy modeling. First abstracted steps of policy design are introduced that enable the identification of information visualization in the entire policy life-cycle. Thereafter, the foundations of information visualization are introduced based on an established reference model. The authors aim to amplify the incorporation of information visualization in the entire policy design process. Therefore, the aspects of data and human interaction are introduced, too. The foundation leads to description of a conceptual design for social data visualization, and the aspect of semantics plays an important role.

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