@inbook{Nazemi2016,

title = {Information Visualization and Policy Modeling},

author = {Kawa Nazemi and Martin Steiger and Dirk Burkhardt and Jörn Kohlhammer},

url = {https://www.igi-global.com/chapter/information-visualization-and-policy-modeling/150163, IGI Global},

doi = {10.4018/978-1-4666-9840-6.ch008},

isbn = {978-1-466-69840-6},

year  = {2016},

date = {2016-01-01},

booktitle = {Big Data: Concepts, Methodologies, Tools, and Applications},

publisher = {Information Science Reference, IGI Global},

address = {Hershey PA, USA},

institution = {Information Resources Management Association USA},

organization = {Information Resources Management Association USA},

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.},

note = {reprint},

keywords = {Human-centered user interfaces, Information visualization, Semantic data modeling, Semantic visualization, User-centered design, Visual analytics},

pubstate = {published},

tppubtype = {inbook}

}

@inbook{nazemi2014information,

title = {Information Visualization and Policy Modeling},

author = {Kawa Nazemi and Martin Steiger and Dirk Burkhardt and Jörn Kohlhammer},

editor = {Peter Sonntagbauer and Kawa Nazemi and Susanne Sonntagbauer and Giorgio Prister and Dirk Burkhardt},

url = {https://www.igi-global.com/chapter/information-visualization-and-policy-modeling/116664, IGI Global},

doi = {10.4018/978-1-4666-6236-0.ch011},

isbn = {978-1-466-66236-0},

year  = {2014},

date = {2014-06-01},

booktitle = {Handbook of Research on Advanced ICT Integration for Governance and Policy Modeling},

journal = {Handbook of Research on Advanced ICT Integration for Governance and Policy Modeling},

pages = {175--215},

publisher = {Business Science Reference (IGI Global), Hershey PA, USA},

address = {Hershey PA, USA},

series = {Handbook of Research},

crossref = {Sonntagbauer2014},

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.},

keywords = {eGovernance, Information visualization, Policy modeling, Visual analytics},

pubstate = {published},

tppubtype = {inbook}

}