Publikationen ⋆ Kawa Nazemi

Publikationen


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2015
15.
 Burkhardt, Dirk;  Nazemi, Kawa;  Kohlhammer, Jörn
Policy Modeling Methodologies Buchkapitel 
In: Public Affairs and Administration: Concepts, Methodologies, Tools, and Applications, IGI Global, 2015, ISBN: 978-1-466-68358-7, (reprint).
Abstract | Links | BibTeX | Schlagwörter: eGovernance, Policy modeling
@inbook{Burkhardt2015c,

title = {Policy Modeling Methodologies},

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

url = {https://www.igi-global.com/chapter/policy-modeling-methodologies/127865, IGI Global},

doi = {10.4018/978-1-4666-8358-7.ch023},

isbn = {978-1-466-68358-7},

year  = {2015},

date = {2015-03-12},

booktitle = {Public Affairs and Administration: Concepts, Methodologies, Tools, and Applications},

publisher = {IGI Global},

institution = {Information Resources Management Association (USA)},

organization = {Information Resources Management Association (USA)},

abstract = {The process to develop sustainable public policies is done by public authorities ensuring the involvement of all stakeholders. ICT is rarely included in most of the today's applied policymaking processes. Other process definitions with a focus on ICT inclusion in policy modeling still exist, but they are not well defined. This chapter gives an overview of the existing policy modeling process types and explains their major foci and how they consider ICT and the practical process in public authorities. Afterwards, based on these descriptions, the general requirements on a new ICT-oriented policy modeling process that allows the inclusion of ICT into a valid and useful process for public authorities is given.},

note = {reprint},

keywords = {eGovernance, Policy modeling},

pubstate = {published},

tppubtype = {inbook}

}

Schließen
The process to develop sustainable public policies is done by public authorities ensuring the involvement of all stakeholders. ICT is rarely included in most of the today's applied policymaking processes. Other process definitions with a focus on ICT inclusion in policy modeling still exist, but they are not well defined. This chapter gives an overview of the existing policy modeling process types and explains their major foci and how they consider ICT and the practical process in public authorities. Afterwards, based on these descriptions, the general requirements on a new ICT-oriented policy modeling process that allows the inclusion of ICT into a valid and useful process for public authorities is given.
Schließen
IGI Global
doi:10.4018/978-1-4666-8358-7.ch023
Schließen
14.
 Sonntagbauer, Susanne;  Sonntagbauer, Peter;  Nazemi, Kawa;  Burkhardt, Dirk
The FUPOL Policy Lifecycle Buchkapitel 
In: Public Affairs and Administration: Concepts, Methodologies, Tools, and Applications., S. 158-186, Business Science Reference (IGI Global), Hershey PA, USA, Hershey PA, USA, 2015, ISBN: 978-1-466-68358-7, (reprint).
Abstract | Links | BibTeX | Schlagwörter: eGovernance, Policy modeling
@inbook{Sonntagbauer2015,

title = {The FUPOL Policy Lifecycle},

author = {Susanne Sonntagbauer and Peter Sonntagbauer and Kawa Nazemi and Dirk Burkhardt},

url = {https://www.igi-global.com/chapter/the-fupol-policy-lifecycle/127849, IGI Global},

doi = {10.4018/978-1-4666-8358-7.ch008},

isbn = {978-1-466-68358-7},

year  = {2015},

date = {2015-02-02},

booktitle = {Public Affairs and Administration: Concepts, Methodologies, Tools, and Applications.},

pages = {158-186},

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

address = {Hershey PA, USA},

institution = {Information Resources Management Association},

organization = {Information Resources Management Association},

abstract = {The purpose of this chapter is to outline an advanced policy lifecycle, the FUPOL model with its ability to link technical features in the area of policy modeling. The FUPOL Policy Lifecycle is based on 6 stages, which are further divided into 8 main tasks. These main tasks are split up into 19 subtasks to provide a very detailed policy lifecycle structure. The detailed breakdown allows one to link each task to various technical features, such as opinion maps, policy indicator dashboard, knowledge database, and simulation and visualization tools. The chapter further argues that the methodology applied is future proof and has the potential of accommodating new technologies in the future.},

note = {reprint},

keywords = {eGovernance, Policy modeling},

pubstate = {published},

tppubtype = {inbook}

}

Schließen
The purpose of this chapter is to outline an advanced policy lifecycle, the FUPOL model with its ability to link technical features in the area of policy modeling. The FUPOL Policy Lifecycle is based on 6 stages, which are further divided into 8 main tasks. These main tasks are split up into 19 subtasks to provide a very detailed policy lifecycle structure. The detailed breakdown allows one to link each task to various technical features, such as opinion maps, policy indicator dashboard, knowledge database, and simulation and visualization tools. The chapter further argues that the methodology applied is future proof and has the potential of accommodating new technologies in the future.
Schließen
IGI Global
doi:10.4018/978-1-4666-8358-7.ch008
Schließen
13.
 Burkhardt, Dirk;  Nazemi, Kawa;  Zilke, Jan Ruben;  Kohlhammer, Jörn;  Kuijper, Arjan
Fundamental Aspects for E-Government Buchkapitel 
In: Standards and Standardization: Concepts, Methodologies, Tools, and Applications, IGI Global, Hershey PA, USA, 2015, ISBN: 978-1-466-68111-8, (reprint).
Abstract | Links | BibTeX | Schlagwörter: eGovernance, Policy modeling
@inbook{Burkhardt2015bb,

title = {Fundamental Aspects for E-Government},

author = {Dirk Burkhardt and Kawa Nazemi and Jan Ruben Zilke and Jörn Kohlhammer and Arjan Kuijper},

url = {https://www.igi-global.com/chapter/fundamental-aspects-for-e-government/125285, IGI Global},

doi = {10.4018/978-1-4666-8111-8.ch003},

isbn = {978-1-466-68111-8},

year  = {2015},

date = {2015-01-12},

booktitle = {Standards and Standardization: Concepts, Methodologies, Tools, and Applications},

publisher = {IGI Global},

address = {Hershey PA, USA},

institution = {Information Resources Management Association},

organization = {Information Resources Management Association},

abstract = {The upcoming initiatives using ICT in the government process should strengthen the benefit of e-government in most countries. Since e-government among other e-related terms is a widely (interpreted) term, it is sometimes challenging to understand the objective and goals of an initiative. Therefore, in this chapter, the authors introduce and explain most e-government related terms. Even more, they outline some interesting initiatives and implementations to explain the benefits of using ICT in the government domain. Concrete activities are aligned to the terms to explain their practical use in a better way. The authors conclude with several challenges that arise when thinking of the implementation of e-government services. Overall, this chapter should give a good overall view of e-government and the related issues.},

note = {reprint},

keywords = {eGovernance, Policy modeling},

pubstate = {published},

tppubtype = {inbook}

}

Schließen
The upcoming initiatives using ICT in the government process should strengthen the benefit of e-government in most countries. Since e-government among other e-related terms is a widely (interpreted) term, it is sometimes challenging to understand the objective and goals of an initiative. Therefore, in this chapter, the authors introduce and explain most e-government related terms. Even more, they outline some interesting initiatives and implementations to explain the benefits of using ICT in the government domain. Concrete activities are aligned to the terms to explain their practical use in a better way. The authors conclude with several challenges that arise when thinking of the implementation of e-government services. Overall, this chapter should give a good overall view of e-government and the related issues.
Schließen
IGI Global
doi:10.4018/978-1-4666-8111-8.ch003
Schließen
12.
 Burkhardt, Dirk;  Nazemi, Kawa;  Tomic, Silvana;  Ginters, Egils
Best-practice Piloting of Integrated Social Media Analysis Solution for E-Participation in Cities Artikel 
In: Procedia Computer Science, Bd. 77, S. 11 - 21, 2015, ISSN: 1877-0509, (ICTE in regional Development 2015 Valmiera, Latvia).
Abstract | Links | BibTeX | Schlagwörter: Decision Making, E-Governmant, Evaluation, Information Communication Technologies, Piloting, Policy modeling
@article{Burkhardt2015b,

title = {Best-practice Piloting of Integrated Social Media Analysis Solution for E-Participation in Cities},

author = {Dirk Burkhardt and Kawa Nazemi and Silvana Tomic and Egils Ginters},

editor = {Jimson Mathew and Ashutosh K. singh},

url = {https://www.sciencedirect.com/science/article/pii/S1877050915038648, Elsevier Science Direct

https://www.sciencedirect.com/science/article/pii/S1877050915038648/pdf?md5=169ec82a0af0b5b8e740685f17683d0a&pid=1-s2.0-S1877050915038648-main.pdf, full text},

doi = {https://doi.org/10.1016/j.procs.2015.12.354},

issn = {1877-0509},

year  = {2015},

date = {2015-01-01},

journal = {Procedia Computer Science},

volume = {77},

pages = {11 - 21},

abstract = {Goal definitions and developments are challenging in large-scale projects, because of the different expertise and skills of the stakeholders. Development often fails its intended goal because of misunderstandings and unclear definitions and descriptions during the planning phase. The paper describes a novel approach to collecting requirements and defining development plans by provisioning a guideline which informs what has to be done, when and in what form. The User Case Requirement Analysis model was applied in the large-scale European project FUPOL during the development of a Social Media Analysis System. Based on this a successful task-based evaluation could be performed that shows the benefit of the model and the software.},

note = {ICTE in regional Development 2015 Valmiera, Latvia},

keywords = {Decision Making, E-Governmant, Evaluation, Information Communication Technologies, Piloting, Policy modeling},

pubstate = {published},

tppubtype = {article}

}

Schließen
Goal definitions and developments are challenging in large-scale projects, because of the different expertise and skills of the stakeholders. Development often fails its intended goal because of misunderstandings and unclear definitions and descriptions during the planning phase. The paper describes a novel approach to collecting requirements and defining development plans by provisioning a guideline which informs what has to be done, when and in what form. The User Case Requirement Analysis model was applied in the large-scale European project FUPOL during the development of a Social Media Analysis System. Based on this a successful task-based evaluation could be performed that shows the benefit of the model and the software.
Schließen
Elsevier Science Direct
full text
doi:https://doi.org/10.1016/j.procs.2015.12.354
Schließen
2014
11.
 Nazemi, Kawa
Adaptive Semantics Visualization Promotionsarbeit 
Technische Universität Darmstadt, 2014, (Reprint by Eugraphics Association (EG)).
Abstract | Links | BibTeX | Schlagwörter: Adaptive information visualization, Adaptive user interfaces, Adaptive visualization, Computer based learning, Data Analytics, E-Learning, Exploratory learning, Human Factors, Human-centered user interfaces, Human-computer interaction (HCI), Information visualization, Intelligent Systems, Interaction analysis, Interaction Design, Ontology visualization, personalization, Policy modeling, reference model, Semantic data modeling, Semantic visualization, Semantic web, Semantics visualization, User behavior, User Interactions, User Interface, User modeling, User-centered design, Visual analytics
@phdthesis{Nazemi2014f,

title = {Adaptive Semantics Visualization},

author = {Kawa Nazemi},

url = {https://diglib.eg.org/handle/10.2312/12076, EG Lib

https://diglib.eg.org/bitstream/handle/10.2312/12076/nazemi.pdf, full text},

doi = {10.2312/12076},

year  = {2014},

date = {2014-11-27},

school = {Technische Universität Darmstadt},

abstract = {Human access to the increasing amount of information and data plays an essential role for the professional level and also for everyday life. While information visualization has developed new and remarkable ways for visualizing data and enabling the exploration process, adaptive systems focus on users' behavior to tailor information for supporting the information acquisition process. Recent research on adaptive visualization shows promising ways of synthesizing these two complementary approaches and make use of the surpluses of both disciplines. The emerged methods and systems aim to increase the performance, acceptance, and user experience of graphical data representations for a broad range of users. Although the evaluation results of the recently proposed systems are promising, some important aspects of information visualization are not considered in the adaptation process. The visual adaptation is commonly limited to change either visual parameters or replace visualizations entirely. Further, no existing approach adapts the visualization based on data and user characteristics. Other limitations of existing approaches include the fact that the visualizations require training by experts in the field.

 

 In this thesis, we introduce a novel model for adaptive visualization. In contrast to existing approaches, we have focused our investigation on the potentials of information visualization for adaptation. Our reference model for visual adaptation not only considers the entire transformation, from data to visual representation, but also enhances it to meet the requirements for visual adaptation. Our model adapts different visual layers that were identified based on various models and studies on human visual perception and information processing. In its adaptation process, our conceptual model considers the impact of both data and user on visualization adaptation. We investigate different approaches and models and their effects on system adaptation to gather implicit information about users and their behavior. These are than transformed and applied to affect the visual representation and model human interaction behavior with visualizations and data to achieve a more appropriate visual adaptation. Our enhanced user model further makes use of the semantic hierarchy to enable a domain-independent adaptation.

 

 To face the problem of a system that requires to be trained by experts, we introduce the canonical user model that models the average usage behavior with the visualization environment. Our approach learns from the behavior of the average user to adapt the different visual layers and transformation steps. This approach is further enhanced with similarity and deviation analysis for individual users to determine similar behavior on an individual level and identify differing behavior from the canonical model. Users with similar behavior get similar visualization and data recommendations, while behavioral anomalies lead to a lower level of adaptation. Our model includes a set of various visual layouts that can be used to compose a multi-visualization interface, a sort of "visualization cockpit". This model facilitates various visual layouts to provide different perspectives and enhance the ability to solve difficult and exploratory search challenges. Data from different data-sources can be visualized and compared in a visual manner. These different visual perspectives on data can be chosen by users or can be automatically selected by the system.

 

 This thesis further introduces the implementation of our model that includes additional approaches for an efficient adaptation of visualizations as proof of feasibility. We further conduct a comprehensive user study that aims to prove the benefits of our model and underscore limitations for future work. The user study with overall 53 participants focuses with its four conditions on our enhanced reference model to evaluate the adaptation effects of the different visual layers.},

note = {Reprint by Eugraphics Association (EG)},

keywords = {Adaptive information visualization, Adaptive user interfaces, Adaptive visualization, Computer based learning, Data Analytics, E-Learning, Exploratory learning, Human Factors, Human-centered user interfaces, Human-computer interaction (HCI), Information visualization, Intelligent Systems, Interaction analysis, Interaction Design, Ontology visualization, personalization, Policy modeling, reference model, Semantic data modeling, Semantic visualization, Semantic web, Semantics visualization, User behavior, User Interactions, User Interface, User modeling, User-centered design, Visual analytics},

pubstate = {published},

tppubtype = {phdthesis}

}

Schließen
Human access to the increasing amount of information and data plays an essential role for the professional level and also for everyday life. While information visualization has developed new and remarkable ways for visualizing data and enabling the exploration process, adaptive systems focus on users' behavior to tailor information for supporting the information acquisition process. Recent research on adaptive visualization shows promising ways of synthesizing these two complementary approaches and make use of the surpluses of both disciplines. The emerged methods and systems aim to increase the performance, acceptance, and user experience of graphical data representations for a broad range of users. Although the evaluation results of the recently proposed systems are promising, some important aspects of information visualization are not considered in the adaptation process. The visual adaptation is commonly limited to change either visual parameters or replace visualizations entirely. Further, no existing approach adapts the visualization based on data and user characteristics. Other limitations of existing approaches include the fact that the visualizations require training by experts in the field.

 

 In this thesis, we introduce a novel model for adaptive visualization. In contrast to existing approaches, we have focused our investigation on the potentials of information visualization for adaptation. Our reference model for visual adaptation not only considers the entire transformation, from data to visual representation, but also enhances it to meet the requirements for visual adaptation. Our model adapts different visual layers that were identified based on various models and studies on human visual perception and information processing. In its adaptation process, our conceptual model considers the impact of both data and user on visualization adaptation. We investigate different approaches and models and their effects on system adaptation to gather implicit information about users and their behavior. These are than transformed and applied to affect the visual representation and model human interaction behavior with visualizations and data to achieve a more appropriate visual adaptation. Our enhanced user model further makes use of the semantic hierarchy to enable a domain-independent adaptation.

 

 To face the problem of a system that requires to be trained by experts, we introduce the canonical user model that models the average usage behavior with the visualization environment. Our approach learns from the behavior of the average user to adapt the different visual layers and transformation steps. This approach is further enhanced with similarity and deviation analysis for individual users to determine similar behavior on an individual level and identify differing behavior from the canonical model. Users with similar behavior get similar visualization and data recommendations, while behavioral anomalies lead to a lower level of adaptation. Our model includes a set of various visual layouts that can be used to compose a multi-visualization interface, a sort of "visualization cockpit". This model facilitates various visual layouts to provide different perspectives and enhance the ability to solve difficult and exploratory search challenges. Data from different data-sources can be visualized and compared in a visual manner. These different visual perspectives on data can be chosen by users or can be automatically selected by the system.

 

 This thesis further introduces the implementation of our model that includes additional approaches for an efficient adaptation of visualizations as proof of feasibility. We further conduct a comprehensive user study that aims to prove the benefits of our model and underscore limitations for future work. The user study with overall 53 participants focuses with its four conditions on our enhanced reference model to evaluate the adaptation effects of the different visual layers.
Schließen
EG Lib
full text
doi:10.2312/12076
Schließen
10.
 Nazemi, Kawa
Adaptive Semantics Visualization Promotionsarbeit 
Technische Universität Darmstadt, 2014, (Department of Computer Science. Supervised by Dieter W. Fellner.).
Abstract | Links | BibTeX | Schlagwörter: Adaptive information visualization, Adaptive user interfaces, Computer based learning, Data Analytics, eGovernance, Exploratory learning, Human Factors, Human-centered user interfaces, Human-computer interaction (HCI), Information visualization, Intelligent Systems, Interaction Design, Ontology visualization, personalization, Policy modeling, Semantic data modeling, Semantic visualization, Semantic web, User behavior, User Interactions, User Interface, User modeling, User-centered design, Visual analytics
@phdthesis{Nazemi2014g,

title = {Adaptive Semantics Visualization},

author = {Kawa Nazemi},

url = {https://tuprints.ulb.tu-darmstadt.de/id/eprint/4319, TU Darmstadt Prints

https://tuprints.ulb.tu-darmstadt.de/4319/1/Nazemi_Diss.pdf, full text},

year  = {2014},

date = {2014-11-23},

address = {Darmstadt, Germany},

school = {Technische Universität Darmstadt},

abstract = {Human access to the increasing amount of information and data plays an essential role for the professional level and also for everyday life. While information visualization has developed new and remarkable ways for visualizing data and enabling the exploration process, adaptive systems focus on users’ behavior to tailor information for supporting the information acquisition process. Recent research on adaptive visualization shows promising ways of synthesizing these two complementary approaches and make use of the surpluses of both disciplines. The emerged methods and systems aim to increase the performance, acceptance, and user experience of graphical data representations for a broad range of users. Although the evaluation results of the recently proposed systems are promising, some important aspects of information visualization are not considered in the adaptation process. The visual adaptation is commonly limited to change either visual parameters or replace visualizations entirely. Further, no existing approach adapts the visualization based on data and user characteristics. Other limitations of existing approaches include the fact that the visualizations require training by experts in the field.

 In this thesis, we introduce a novel model for adaptive visualization. In contrast to existing approaches, we have focused our investigation on the potentials of information visualization for adaptation. Our reference model for visual adaptation not only considers the entire transformation, from data to visual representation, but also enhances it to meet the requirements for visual adaptation. Our model adapts different visual layers that were identified based on various models and studies on human visual perception and information processing. In its adaptation process, our conceptual model considers the impact of both data and user on visualization adaptation. We investigate different approaches and models and their effects on system adaptation to gather implicit information about users and their behavior. These are than transformed and applied to affect the visual representation and model human interaction behavior with visualizations and data to achieve a more appropriate visual adaptation. Our enhanced user model further makes use of the semantic hierarchy to enable a domain-independent adaptation.

 To face the problem of a system that requires to be trained by experts, we introduce the canonical user model that models the average usage behavior with the visualization environment. Our approach learns from the behavior of the average user to adapt the different visual layers and transformation steps. This approach is further enhanced with similarity and deviation analysis for individual users to determine similar behavior on an individual level and identify differing behavior from the canonical model. Users with similar behavior get similar visualization and data recommendations, while behavioral anomalies lead to a lower level of adaptation. Our model includes a set of various visual layouts that can be used to compose a multi-visualization interface, a sort of "‘visualization cockpit"’. This model facilitates various visual layouts to provide different perspectives and enhance the ability to solve difficult and exploratory search challenges. Data from different data-sources can be visualized and compared in a visual manner. These different visual perspectives on data can be chosen by users or can be automatically selected by the system.

 This thesis further introduces the implementation of our model that includes additional approaches for an efficient adaptation of visualizations as proof of feasibility. We further conduct a comprehensive user study that aims to prove the benefits of our model and underscore limitations for future work. The user study with overall 53 participants focuses with its four conditions on our enhanced reference model to evaluate the adaptation effects of the different visual layers.},

note = {Department of Computer Science. Supervised by Dieter W. Fellner.},

keywords = {Adaptive information visualization, Adaptive user interfaces, Computer based learning, Data Analytics, eGovernance, Exploratory learning, Human Factors, Human-centered user interfaces, Human-computer interaction (HCI), Information visualization, Intelligent Systems, Interaction Design, Ontology visualization, personalization, Policy modeling, Semantic data modeling, Semantic visualization, Semantic web, User behavior, User Interactions, User Interface, User modeling, User-centered design, Visual analytics},

pubstate = {published},

tppubtype = {phdthesis}

}

Schließen
Human access to the increasing amount of information and data plays an essential role for the professional level and also for everyday life. While information visualization has developed new and remarkable ways for visualizing data and enabling the exploration process, adaptive systems focus on users’ behavior to tailor information for supporting the information acquisition process. Recent research on adaptive visualization shows promising ways of synthesizing these two complementary approaches and make use of the surpluses of both disciplines. The emerged methods and systems aim to increase the performance, acceptance, and user experience of graphical data representations for a broad range of users. Although the evaluation results of the recently proposed systems are promising, some important aspects of information visualization are not considered in the adaptation process. The visual adaptation is commonly limited to change either visual parameters or replace visualizations entirely. Further, no existing approach adapts the visualization based on data and user characteristics. Other limitations of existing approaches include the fact that the visualizations require training by experts in the field.

 In this thesis, we introduce a novel model for adaptive visualization. In contrast to existing approaches, we have focused our investigation on the potentials of information visualization for adaptation. Our reference model for visual adaptation not only considers the entire transformation, from data to visual representation, but also enhances it to meet the requirements for visual adaptation. Our model adapts different visual layers that were identified based on various models and studies on human visual perception and information processing. In its adaptation process, our conceptual model considers the impact of both data and user on visualization adaptation. We investigate different approaches and models and their effects on system adaptation to gather implicit information about users and their behavior. These are than transformed and applied to affect the visual representation and model human interaction behavior with visualizations and data to achieve a more appropriate visual adaptation. Our enhanced user model further makes use of the semantic hierarchy to enable a domain-independent adaptation.

 To face the problem of a system that requires to be trained by experts, we introduce the canonical user model that models the average usage behavior with the visualization environment. Our approach learns from the behavior of the average user to adapt the different visual layers and transformation steps. This approach is further enhanced with similarity and deviation analysis for individual users to determine similar behavior on an individual level and identify differing behavior from the canonical model. Users with similar behavior get similar visualization and data recommendations, while behavioral anomalies lead to a lower level of adaptation. Our model includes a set of various visual layouts that can be used to compose a multi-visualization interface, a sort of "‘visualization cockpit"’. This model facilitates various visual layouts to provide different perspectives and enhance the ability to solve difficult and exploratory search challenges. Data from different data-sources can be visualized and compared in a visual manner. These different visual perspectives on data can be chosen by users or can be automatically selected by the system.

 This thesis further introduces the implementation of our model that includes additional approaches for an efficient adaptation of visualizations as proof of feasibility. We further conduct a comprehensive user study that aims to prove the benefits of our model and underscore limitations for future work. The user study with overall 53 participants focuses with its four conditions on our enhanced reference model to evaluate the adaptation effects of the different visual layers.
Schließen
TU Darmstadt Prints
full text
Schließen
9.
 Nazemi, Kawa;  Steiger, Martin;  Burkhardt, Dirk;  Kohlhammer, Jörn
Information Visualization and Policy Modeling Buchkapitel 
In:  Sonntagbauer, Peter;  Nazemi, Kawa;  Sonntagbauer, Susanne;  Prister, Giorgio;  Burkhardt, Dirk (Hrsg.): Handbook of Research on Advanced ICT Integration for Governance and Policy Modeling, S. 175–215, Business Science Reference (IGI Global), Hershey PA, USA, Hershey PA, USA, 2014, ISBN: 978-1-466-66236-0.
Abstract | Links | BibTeX | Schlagwörter: eGovernance, Information visualization, Policy modeling, Visual analytics
@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}

}

Schließen
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.
Schließen
IGI Global
doi:10.4018/978-1-4666-6236-0.ch011
Schließen
8.
 Burkhardt, Dirk;  Nazemi, Kawa;  Kohlhammer, Jörn
Policy modeling methodologies Buchkapitel 
In:  Sonntagbauer, Peter;  Nazemi, Kawa;  Sonntagbauer, Susanne;  Prister, Giorgio;  Burkhardt, Dirk (Hrsg.): Handbook of Research on Advanced ICT Integration for Governance and Policy Modeling, S. 48–60, Business Science Reference (IGI Global), Hershey PA, USA, Hershey PA, USA, 2014, ISBN: 978-1-466-66236-0.
Abstract | Links | BibTeX | Schlagwörter: eGovernance, Policy modeling
@inbook{burkhardt2014policy,

title = {Policy modeling methodologies},

author = {Dirk Burkhardt and Kawa Nazemi 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/policy-modeling-methodologies/116655, IGI Global},

doi = {10.4018/978-1-4666-6236-0.ch004},

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},

pages = {48--60},

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

address = {Hershey PA, USA},

crossref = {Sonntagbauer2014},

abstract = {The process to develop sustainable public policies is done by public authorities ensuring the involvement of all stakeholders. ICT is rarely included in most of the today's applied policymaking processes. Other process definitions with a focus on ICT inclusion in policy modeling still exist, but they are not well defined. This chapter gives an overview of the existing policy modeling process types and explains their major foci and how they consider ICT and the practical process in public authorities. Afterwards, based on these descriptions, the general requirements on a new ICT-oriented policy modeling process that allows the inclusion of ICT into a valid and useful process for public authorities is given.},

keywords = {eGovernance, Policy modeling},

pubstate = {published},

tppubtype = {inbook}

}

Schließen
The process to develop sustainable public policies is done by public authorities ensuring the involvement of all stakeholders. ICT is rarely included in most of the today's applied policymaking processes. Other process definitions with a focus on ICT inclusion in policy modeling still exist, but they are not well defined. This chapter gives an overview of the existing policy modeling process types and explains their major foci and how they consider ICT and the practical process in public authorities. Afterwards, based on these descriptions, the general requirements on a new ICT-oriented policy modeling process that allows the inclusion of ICT into a valid and useful process for public authorities is given.
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IGI Global
doi:10.4018/978-1-4666-6236-0.ch004
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7.
 Sonntagbauer, Susanne;  Sonntagbauer, Peter;  Nazemi, Kawa;  Burkhardt, Dirk
The FUPOL Policy Lifecycle Buchkapitel 
In:  Sonntagbauer, Peter;  Nazemi, Kawa;  Sonntagbauer, Susanne;  Prister, Giorgio;  Burkhardt, Dirk (Hrsg.): Handbook of Research on Advanced ICT Integration for Governance and Policy Modeling, Business Science Reference (IGI Global), Hershey PA, USA, Hershey PA, USA, 2014, ISBN: 978-1-466-66236-0.
Abstract | Links | BibTeX | Schlagwörter: eGovernance, Policy modeling
@inbook{Sonntagbauer2014b,

title = {The FUPOL Policy Lifecycle},

author = {Susanne Sonntagbauer and Peter Sonntagbauer and Kawa Nazemi and Dirk Burkhardt },

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

url = {https://www.igi-global.com/chapter/the-fupol-policy-lifecycle/116656, IGI Global},

doi = {10.4018/978-1-4666-6236-0.ch005},

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},

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

address = {Hershey PA, USA},

series = {Handbook of Research},

crossref = {Sonntagbauer2014},

abstract = {The purpose of this chapter is to outline an advanced policy lifecycle, the FUPOL model with its ability to link technical features in the area of policy modeling. The FUPOL Policy Lifecycle is based on 6 stages, which are further divided into 8 main tasks. These main tasks are split up into 19 subtasks to provide a very detailed policy lifecycle structure. The detailed breakdown allows one to link each task to various technical features, such as opinion maps, policy indicator dashboard, knowledge database, and simulation and visualization tools. The chapter further argues that the methodology applied is future proof and has the potential of accommodating new technologies in the future.},

keywords = {eGovernance, Policy modeling},

pubstate = {published},

tppubtype = {inbook}

}

Schließen
The purpose of this chapter is to outline an advanced policy lifecycle, the FUPOL model with its ability to link technical features in the area of policy modeling. The FUPOL Policy Lifecycle is based on 6 stages, which are further divided into 8 main tasks. These main tasks are split up into 19 subtasks to provide a very detailed policy lifecycle structure. The detailed breakdown allows one to link each task to various technical features, such as opinion maps, policy indicator dashboard, knowledge database, and simulation and visualization tools. The chapter further argues that the methodology applied is future proof and has the potential of accommodating new technologies in the future.
Schließen
IGI Global
doi:10.4018/978-1-4666-6236-0.ch005
Schließen
6.
 Burkhardt, Dirk;  Nazemi, Kawa;  Zilke, Jan Ruben;  Kohlhammer, Jörn;  Kuijper, Arjan
Fundamental Aspects for E-Government Buchkapitel 
In:  Sonntagbauer, Peter;  Nazemi, Kawa;  Sonntagbauer, Susanne;  Prister, Giorgio;  Burkhardt, Dirk (Hrsg.): Handbook of Research on Advanced ICT Integration for Governance and Policy Modeling, Business Science Reference (IGI Global), Hershey PA, USA, Hershey PA, USA, 2014, ISBN: 978-1-466-66236-0.
Abstract | Links | BibTeX | Schlagwörter: eGovernance, Policy modeling
@inbook{Burkhardt2014e,

title = {Fundamental Aspects for E-Government},

author = {Dirk Burkhardt and Kawa Nazemi and Jan Ruben Zilke and Jörn Kohlhammer and Arjan Kuijper},

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

url = {https://www.igi-global.com/chapter/fundamental-aspects-for-e-government/116652, IGI Global},

doi = {10.4018/978-1-4666-6236-0.ch001},

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},

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

address = {Hershey PA, USA},

series = {Handbook of Research},

crossref = {Sonntagbauer2014},

abstract = {The upcoming initiatives using ICT in the government process should strengthen the benefit of e-government in most countries. Since e-government among other e-related terms is a widely (interpreted) term, it is sometimes challenging to understand the objective and goals of an initiative. Therefore, in this chapter, the authors introduce and explain most e-government related terms. Even more, they outline some interesting initiatives and implementations to explain the benefits of using ICT in the government domain. Concrete activities are aligned to the terms to explain their practical use in a better way. The authors conclude with several challenges that arise when thinking of the implementation of e-government services. Overall, this chapter should give a good overall view of e-government and the related issues.},

keywords = {eGovernance, Policy modeling},

pubstate = {published},

tppubtype = {inbook}

}

Schließen
The upcoming initiatives using ICT in the government process should strengthen the benefit of e-government in most countries. Since e-government among other e-related terms is a widely (interpreted) term, it is sometimes challenging to understand the objective and goals of an initiative. Therefore, in this chapter, the authors introduce and explain most e-government related terms. Even more, they outline some interesting initiatives and implementations to explain the benefits of using ICT in the government domain. Concrete activities are aligned to the terms to explain their practical use in a better way. The authors conclude with several challenges that arise when thinking of the implementation of e-government services. Overall, this chapter should give a good overall view of e-government and the related issues.
Schließen
IGI Global
doi:10.4018/978-1-4666-6236-0.ch001
Schließen
5.
 Burkhardt, Dirk;  Nazemi, Kawa;  Parisay, Mohsen;  Kohlhammer, Jörn
Visual Correlation Analysis to Explain Open Government Data based on Linked-Open Data for Decision Making Artikel 
In: International Journal of Digital Society, Bd. 5, S. 915–923, 2014, ISSN:  2040-2570.
Abstract | Links | BibTeX | Schlagwörter: Data Analytics, eGovernance, Human-computer interaction (HCI), Information visualization, Policy modeling, Visual analytics
@article{Burkhardt2014b,

title = {Visual Correlation Analysis to Explain Open Government Data based on Linked-Open Data for Decision Making},

author = {Dirk Burkhardt and Kawa Nazemi and Mohsen Parisay and Jörn Kohlhammer},

url = {https://infonomics-society.org/wp-content/uploads/ijds/published-papers/volume-5-2014/Visual-Correlation-Analysis-to-Explain-Open-Government-Data-based-on-Linked-Open-Data-for-.pdf, full text},

issn = { 2040-2570},

year  = {2014},

date = {2014-01-01},

journal = {International Journal of Digital Society},

volume = {5},

pages = {915--923},

publisher = {Infonomics Society},

institution = {Infonomics Society},

organization = {Infonomics Society},

abstract = {Public authorities normally consider statistical data about indicators in their decision makings. Such valid kind of data allows an objective observation about indicator developments over time. In case of a

significant deviation from the normal indicator level, it is difficult to understand the reasons for upcoming problems. In this article we present an approach that allows an enhanced information gathering through an improved information overview about the depending aspects to such an indicator by considering governmental data-sources that provide also other types of data than just statistics. Even more, our approach integrates a system that allows generating explanations for Open Government Data, especially to specific indicators, based on Linked-Open Data and shows it in graphical form to enable a fast overview gathering. This allows decision-makers to get hints for unexpected reasons of concrete problems that may influence an indicator. },

keywords = {Data Analytics, eGovernance, Human-computer interaction (HCI), Information visualization, Policy modeling, Visual analytics},

pubstate = {published},

tppubtype = {article}

}

Schließen
Public authorities normally consider statistical data about indicators in their decision makings. Such valid kind of data allows an objective observation about indicator developments over time. In case of a

significant deviation from the normal indicator level, it is difficult to understand the reasons for upcoming problems. In this article we present an approach that allows an enhanced information gathering through an improved information overview about the depending aspects to such an indicator by considering governmental data-sources that provide also other types of data than just statistics. Even more, our approach integrates a system that allows generating explanations for Open Government Data, especially to specific indicators, based on Linked-Open Data and shows it in graphical form to enable a fast overview gathering. This allows decision-makers to get hints for unexpected reasons of concrete problems that may influence an indicator. 
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full text
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4.
 Burkhardt, Dirk;  Nazemi, Kawa;  Retz, Wilhelm;  Kohlhammer, Jörn
Visual explanation of government-data for policy making through open-data inclusion Proceedings Article 
In: The 9th International Conference for Internet Technology and Secured Transactions (ICITST-2014), S. 83-89, IEEE, 2014, ISBN: 978-1-908320-39-1.
Abstract | Links | BibTeX | Schlagwörter: eGovernance, Human Factors, Human-centered user interfaces, Human-computer interaction (HCI), Information visualization, Interaction Design, Policy modeling, Semantic visualization, User-centered design
@inproceedings{7038782,

title = {Visual explanation of government-data for policy making through open-data inclusion},

author = {Dirk Burkhardt and Kawa Nazemi and Wilhelm Retz and Jörn Kohlhammer},

url = {https://ieeexplore.ieee.org/document/7038782/, IEEE Xplore},

doi = {10.1109/ICITST.2014.7038782},

isbn = {978-1-908320-39-1},

year  = {2014},

date = {2014-01-01},

booktitle = {The 9th International Conference for Internet Technology and Secured Transactions (ICITST-2014)},

pages = {83-89},

publisher = {IEEE},

abstract = {Commonly, data used in public authorities are statistical data about certain indicator. Such valid kind of data allows an objective observation about indicator developments over time. In case of a significant deviation from the normal indicator level, it is difficult to understand the reasons for upcoming problems. In our paper we present an approach that allows an enhanced information gathering through an improved information overview about the depending aspects to such an indicator by considering governmental data-sources that provide also other types of data than just statistics. Even more, our approach integrates a system that allows generating explanations for Open Government Data, especially to specific indicators, based on Linked-Open Data. This enables decision-makers to get hints for unexpected reasons of concrete problems that may influence an indicator.},

keywords = {eGovernance, Human Factors, Human-centered user interfaces, Human-computer interaction (HCI), Information visualization, Interaction Design, Policy modeling, Semantic visualization, User-centered design},

pubstate = {published},

tppubtype = {inproceedings}

}

Schließen
Commonly, data used in public authorities are statistical data about certain indicator. Such valid kind of data allows an objective observation about indicator developments over time. In case of a significant deviation from the normal indicator level, it is difficult to understand the reasons for upcoming problems. In our paper we present an approach that allows an enhanced information gathering through an improved information overview about the depending aspects to such an indicator by considering governmental data-sources that provide also other types of data than just statistics. Even more, our approach integrates a system that allows generating explanations for Open Government Data, especially to specific indicators, based on Linked-Open Data. This enables decision-makers to get hints for unexpected reasons of concrete problems that may influence an indicator.
Schließen
IEEE Xplore
doi:10.1109/ICITST.2014.7038782
Schließen
2013
3.
 Burkhardt, Dirk;  Nazemi, Kawa;  Sonntagbauer, Peter;  Sonntagbauer, Susanne;  Kohlhammer, Jörn
Interactive Visualizations in the Process of Policy Modelling. Proceedings Article 
In:  Wimmer, Maria;  Janssen, Marjin;  Macintosh, Ann;  Scholl, Hans J.;  Tambouris, Efthimios (Hrsg.): Electronic Government and Electronic Participation Joint Proceedings of Ongoing Research of IFIP EGOV and IFIP ePart 2013, S. 104–115, Gesellschaft für Informatik e.V. (GI), 2013, ISBN: 978-3-88579-615-2.
Links | BibTeX | Schlagwörter: eGovernance, Interaction Design, Policy modeling, Semantic visualization, Semantic web, User Interactions, User-centered design
@inproceedings{burkhardt2013interactive,

title = {Interactive Visualizations in the Process of Policy Modelling.},

author = {Dirk Burkhardt and Kawa Nazemi and Peter Sonntagbauer and Susanne Sonntagbauer and Jörn Kohlhammer},

editor = {Maria Wimmer and Marjin Janssen and Ann Macintosh and Hans J. Scholl and Efthimios Tambouris},

url = {https://subs.emis.de/LNI/Proceedings/Proceedings221/104.pdf, LNI GI- full text

https://pdfs.semanticscholar.org/78a3/e0732eabaeb7c84b50a28a70bcddde40f562.pdf, Semantic scholars - full text},

isbn = {978-3-88579-615-2},

year  = {2013},

date = {2013-01-01},

booktitle = {Electronic Government and Electronic Participation Joint Proceedings of Ongoing Research of IFIP EGOV and IFIP ePart 2013},

pages = {104--115},

publisher = {Gesellschaft für Informatik e.V. (GI)},

keywords = {eGovernance, Interaction Design, Policy modeling, Semantic visualization, Semantic web, User Interactions, User-centered design},

pubstate = {published},

tppubtype = {inproceedings}

}

Schließen
LNI GI- full text
Semantic scholars - full text
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2.
 Sonntagbauer, Peter;  Rumm, Nikolaus;  Kagitcioglu, Hakan;  Nazemi, Kawa;  Burkhardt, Dirk
GIS, social Media and Simulation in Integrated ICT Solutions for Urban Futures Proceedings Article 
In: 14th N-AERUS Conference. Network Association of European Researchers on Urbanisation in the South.,  Network Association of European Researchers on Urbanisation in the South. (n-aerus), 2013.
Abstract | Links | BibTeX | Schlagwörter: eGovernance, GIS, Policy modeling
@inproceedings{sonntagbauer2013gis,

title = {GIS, social Media and Simulation in Integrated ICT Solutions for Urban Futures},

author = {Peter Sonntagbauer and Nikolaus Rumm and Hakan Kagitcioglu and Kawa Nazemi and Dirk Burkhardt},

url = {https://n-aerus.net/web/sat/workshops/2013/PDF/N-AERUS14_Peter_Sonntagbauer.pdf, full text},

year  = {2013},

date = {2013-01-01},

booktitle = {14th N-AERUS Conference. Network Association of European Researchers on Urbanisation in the South.},

publisher = { Network Association of European Researchers on Urbanisation in the South. (n-aerus)},

abstract = {ICT tools and their methods to support the policy lifecycle in urban planning have drastically changed with the emergence of social media, advanced simulation techniques, open government data, big data, opinion mining, advanced text analytics and visualization. All those components should be combined with GIS. Current ICT solutions supporting e-participation and collaborative urban planning are focused on solving a specific problem. They are not integrated neither on the conceptual nor on the technical level. The conceptual level referring to the policy lifecycle, the technical level to data integration and user interface. This paper describes a new integrated approach to policy design and implementation. It consists of an advanced policy lifecycle and an IT-solution with features supporting all phases of the proposed lifecycle. The concept as well as the technical architecture as implemented in the Future Policy Modelling Project (FUPOL) to achieve such a complete integration with separate applications is outlined.},

keywords = {eGovernance, GIS, Policy modeling},

pubstate = {published},

tppubtype = {inproceedings}

}

Schließen
ICT tools and their methods to support the policy lifecycle in urban planning have drastically changed with the emergence of social media, advanced simulation techniques, open government data, big data, opinion mining, advanced text analytics and visualization. All those components should be combined with GIS. Current ICT solutions supporting e-participation and collaborative urban planning are focused on solving a specific problem. They are not integrated neither on the conceptual nor on the technical level. The conceptual level referring to the policy lifecycle, the technical level to data integration and user interface. This paper describes a new integrated approach to policy design and implementation. It consists of an advanced policy lifecycle and an IT-solution with features supporting all phases of the proposed lifecycle. The concept as well as the technical architecture as implemented in the Future Policy Modelling Project (FUPOL) to achieve such a complete integration with separate applications is outlined.
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full text
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2012
1.
 Kohlhammer, Jörn;  Nazemi, Kawa;  Ruppert, Tobias;  Burkhardt, Dirk
Toward Visualization in Policy Modeling Artikel 
In: IEEE Computer Graphics and Applications (CG&A), Bd. 32, Nr. 5, S. 84-89, 2012, ISSN: 0272-1716.
Abstract | Links | BibTeX | Schlagwörter: Data Analytics, eGovernance, Human Factors, Human-centered user interfaces, Human-computer interaction (HCI), Information visualization, Intelligent Systems, Policy modeling, Semantic data modeling, Semantic visualization, Visual analytics
@article{6311373,

title = {Toward Visualization in Policy Modeling},

author = {Jörn Kohlhammer and Kawa Nazemi and Tobias Ruppert and Dirk Burkhardt},

url = {https://ieeexplore.ieee.org/document/6311373/, IEEE Xplore},

doi = {10.1109/MCG.2012.107},

issn = {0272-1716},

year  = {2012},

date = {2012-09-01},

journal = {IEEE Computer Graphics and Applications (CG&A)},

volume = {32},

number = {5},

pages = {84-89},

publisher = {IEEE Press},

abstract = {This article looks at the current and future roles of information visualization, semantics visualization, and visual analytics in policy modeling. Many experts believe that you can't overestimate visualization's role in this respect.},

keywords = {Data Analytics, eGovernance, Human Factors, Human-centered user interfaces, Human-computer interaction (HCI), Information visualization, Intelligent Systems, Policy modeling, Semantic data modeling, Semantic visualization, Visual analytics},

pubstate = {published},

tppubtype = {article}

}

Schließen
This article looks at the current and future roles of information visualization, semantics visualization, and visual analytics in policy modeling. Many experts believe that you can't overestimate visualization's role in this respect.
Schließen
IEEE Xplore
doi:10.1109/MCG.2012.107
Schließen