Scientific Publications

@inproceedings{Burkhardt2015,

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://dirk.burkhardt.xyz/wp-content/uploads/2018/11/2015hcii.pdf, Paper as PDF

http://2015.hci.international, Conference Site},

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

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

year  = {2015},

date = {2015-08-02},

booktitle = {Human Interface and the Management of Information. Information and Knowledge Design},

volume = {9172},

pages = {34--45},

publisher = {Springer International Publishing},

address = {Switzerland},

series = {Lecture Notes in Computer Science, vol 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 = {Decision Making, Impact Analysis, Information Visualization, Open Government Data, Policy Modeling, Simulation, Visual Analysis},

pubstate = {published},

tppubtype = {inproceedings}

}