2016 |
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3. | ![]() | Nazemi, Kawa; Steiger, Martin; Burkhardt, Dirk; Kohlhammer, Jörn Information Visualization and Policy Modeling Book Chapter In: Big Data: Concepts, Methodologies, Tools, and Applications, Chapter 8, pp. 139-180, IGI Global, Hershey, PA, USA, 2016, ISBN: 9781466698406. Abstract | Links | BibTeX | Tags: Adaptation, Adaptive Visualization, Information Visualization, Semantics, Semantics Visualization, SemaVis, Visual Analytics @inbook{Nazemi2016, 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. |
2014 |
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2. | ![]() | Nazemi, Kawa; Steiger, Martin; Burkhardt, Dirk; Kohlhammer, Jörn Information Visualization and Policy Modeling Book Chapter In: Sonntagbauer, Peter; Nazemi, Kawa; Sonntagbauer, Susanne; Prister, Giorgio; Burkhardt, Dirk (Ed.): Handbook of Research on Advanced ICT Integration for Governance and Policy Modeling, Chapter 11, pp. 175–215, IGI Global, Hershey, PA, USA, 2014, ISBN: 9781466662360. Abstract | Links | BibTeX | Tags: Adaptation, Adaptive Visualization, Information Visualization, Semantics, Semantics Visualization, SemaVis, Visual Analytics @inbook{Nazemi2014c, 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. |
1. | ![]() | Burkhardt, Dirk; Nazemi, Kawa; Kohlhammer, Jörn Visual Process Support to Assist Users in Policy Making Book Chapter In: Sonntagbauer, Peter; Nazemi, Kawa; Sonntagbauer, Susanne; Prister, Giorgio; Burkhardt, Dirk (Ed.): Handbook of Research on Advanced ICT Integration for Governance and Policy Modeling, Chapter 9, pp. 129–148, IGI Global, Hershey, PA, USA, 2014, ISBN: 9781466662360. Abstract | Links | BibTeX | Tags: Adaptation, Adaptive Visualization, Information and Communication Technologies, Policy, Policy Modeling, Process, SemaVis @inbook{Burkhardt2014f, The policy making process requires the involvement of various stakeholders, who bring in very heterogeneous experiences and skills concerning the policymaking domain, as well as experiences of ICT solutions. Current solutions are primarily designed to provide “one-solution-fits-all” answers, which in most cases fail the needs of all stakeholders. In this chapter, the authors introduce a new approach to assist users based on their tasks. Therefore, the system observes the interaction of the user and recognizes the current phase of the policymaking process and the profile of the user to assist him more sufficiently in solving his task. For this purpose, the system automatically enables or disables supporting features such as visualization, tools, and supporting techniques. |
2016 |
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3. | ![]() | Information Visualization and Policy Modeling Book Chapter In: Big Data: Concepts, Methodologies, Tools, and Applications, Chapter 8, pp. 139-180, IGI Global, Hershey, PA, USA, 2016, ISBN: 9781466698406. |
2014 |
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2. | ![]() | Information Visualization and Policy Modeling Book Chapter In: Sonntagbauer, Peter; Nazemi, Kawa; Sonntagbauer, Susanne; Prister, Giorgio; Burkhardt, Dirk (Ed.): Handbook of Research on Advanced ICT Integration for Governance and Policy Modeling, Chapter 11, pp. 175–215, IGI Global, Hershey, PA, USA, 2014, ISBN: 9781466662360. |
1. | ![]() | Visual Process Support to Assist Users in Policy Making Book Chapter In: Sonntagbauer, Peter; Nazemi, Kawa; Sonntagbauer, Susanne; Prister, Giorgio; Burkhardt, Dirk (Ed.): Handbook of Research on Advanced ICT Integration for Governance and Policy Modeling, Chapter 9, pp. 129–148, IGI Global, Hershey, PA, USA, 2014, ISBN: 9781466662360. |