Publications ⋆ Kawa Nazemi

Publications


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2015
2.
 Burkhardt, Dirk;  Nazemi, Kawa;  Ginters, Egils;  Aizstrauts, Artis;  Kohlhammer, Jörn
Explorative Visualization of Impact Analysis for Policy Modeling by Bonding Open Government and Simulation Data Proceedings Article 
In:  Yamamoto, Sakae (Ed.): International Conference on Human Interface and the Management of Information (HIMI 2015). Information and Knowledge Design., pp. 34–45, Springer International Publishing, Cham, 2015, ISBN: 978-3-319-20612-7.
Abstract | Links | BibTeX | Tags: Exploration, Semantics visualization, Simulation, User behavior, User Interactions, User Interface, User-centered design, Visual analytics
@inproceedings{10.1007/978-3-319-20612-7_4,

title = {Explorative Visualization of Impact Analysis for Policy Modeling by Bonding Open Government and Simulation Data},

author = {Dirk Burkhardt and Kawa Nazemi and Egils Ginters and Artis Aizstrauts and Jörn Kohlhammer},

editor = {Sakae Yamamoto},

url = {https://link.springer.com/chapter/10.1007/978-3-319-20612-7_4. Springer Link},

doi = {doi.org/10.1007/978-3-319-20612-7_4},

isbn = {978-3-319-20612-7},

year  = {2015},

date = {2015-03-01},

booktitle = {International Conference on Human Interface and the Management of Information (HIMI 2015). Information and Knowledge Design.},

pages = {34--45},

publisher = {Springer International Publishing},

address = {Cham},

series = {LNCS 9172},

abstract = {Problem identification and solution finding are major challenges in policy modeling. Statistical indicator-data build the foundation for most of the required analysis work. In particular finding effective and efficient policies that solve an existing political problem is critical, since the forecast validation of the effectiveness is quite difficult. Simulation technologies can help to identify optimal policies for solutions, but nowadays many of such simulators are stand-alone technologies. In this paper we introduce a new visualization approach to enable the coupling of statistical indicator data from Open Government Data sources with simulators and especially simulation result data with the goal to provide an enhanced impact analysis for political analysts and decision makers. This allows, amongst others a more intuitive and effective way of solution finding.},

keywords = {Exploration, Semantics visualization, Simulation, User behavior, User Interactions, User Interface, User-centered design, Visual analytics},

pubstate = {published},

tppubtype = {inproceedings}

}

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Problem identification and solution finding are major challenges in policy modeling. Statistical indicator-data build the foundation for most of the required analysis work. In particular finding effective and efficient policies that solve an existing political problem is critical, since the forecast validation of the effectiveness is quite difficult. Simulation technologies can help to identify optimal policies for solutions, but nowadays many of such simulators are stand-alone technologies. In this paper we introduce a new visualization approach to enable the coupling of statistical indicator data from Open Government Data sources with simulators and especially simulation result data with the goal to provide an enhanced impact analysis for political analysts and decision makers. This allows, amongst others a more intuitive and effective way of solution finding.
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https://link.springer.com/chapter/10.1007/978-3-319-20612-7_4. Springer Link
doi:doi.org/10.1007/978-3-319-20612-7_4
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2010
1.
 Nazemi, Kawa;  Breyer, Matthias;  Stab, Christian;  Burkhardt, Dirk;  Fellner, Dieter W
Intelligent Exploration System - an Approach for User-Centered Exploratory Learning Conference 
2nd International Conference on Education and New Learning Technologies, 2010, ISBN: 978-84-613-9386-2.
Abstract | Links | BibTeX | Tags: Exploration, Exploratory learning, Human-centered user interfaces, Human-computer interaction (HCI), Information visualization, Intelligent Systems, Intelligent tutoring systems, Knowledge discovery
@conference{C35-P-21397,

title = {Intelligent Exploration System - an Approach for User-Centered Exploratory Learning},

author = {Kawa Nazemi and Matthias Breyer and Christian Stab and Dirk Burkhardt and Dieter W Fellner},

editor = {International Association of Technology, Education and Development },

url = {https://library.iated.org/view/NAZEMI2010INT, direct link to publisher},

isbn = {978-84-613-9386-2},

year  = {2010},

date = {2010-01-01},

booktitle = {2nd International Conference on Education and New Learning Technologies},

pages = {6476-6484},

abstract = {The following paper describes the conceptual design of an Intelligent Exploration System (IES) that offers a user-adapted graphical environment of web-based knowledge repositories, to support and optimize the explorative learning. The paper starts with a short definition of learning by exploring and introduces the Intelligent Tutoring System and Semantic Technologies for developing such an Intelligent Exploration System. The IES itself will be described with a short overview of existing learner or user analysis methods, visualization techniques for exploring knowledge with semantics technology and the explanation of the characteristics of adaptation to offer a more efficient learning environment.},

keywords = {Exploration, Exploratory learning, Human-centered user interfaces, Human-computer interaction (HCI), Information visualization, Intelligent Systems, Intelligent tutoring systems, Knowledge discovery},

pubstate = {published},

tppubtype = {conference}

}

Close
The following paper describes the conceptual design of an Intelligent Exploration System (IES) that offers a user-adapted graphical environment of web-based knowledge repositories, to support and optimize the explorative learning. The paper starts with a short definition of learning by exploring and introduces the Intelligent Tutoring System and Semantic Technologies for developing such an Intelligent Exploration System. The IES itself will be described with a short overview of existing learner or user analysis methods, visualization techniques for exploring knowledge with semantics technology and the explanation of the characteristics of adaptation to offer a more efficient learning environment.
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direct link to publisher
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