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Bridging knowledge gaps in policy analysis with information visualization

Bridging knowledge gaps in policy analysis with information ...

Joint 12th International Conference on Electronic Government, IFIP EGOV 2013 and 5th Electronic Participation, IFIP ePart 2013

作者： Ruppert, Tobias Bernard, Jurgen Kohlhammer, Jorn Dep. Information Visualization and Visual Analytics Fraunhofer Institute for Computer Graphics Research Fraunhoferstrasse 5 Darmstadt64283 Germany

ISBN: (纸本)9783885796152

Today's politicians are confronted with new (digital) ways to tackle complex decision-making problems. In order to make the right decisions profound analysis of the problems and possible solutions has to be performed. Therefore policy analysts need to collaborate with external experts consulted as advisors. Due to different expertises of these stakeholders the whole process may suffer from knowledge gaps. In our approach, we describe a concept to bridge these knowledge gaps by introducing information visualization and visual analytics to the policy analysis domain. Therefore, we refine a standard policy cycle at the stages relevant for the policy analysis. Secondly, we characterize the main stakeholders in the process, and identify knowledge gaps between these roles. Finally, we emphasize the merits of including advanced visualization techniques into the policy analysis process, and describe visualization as a facet bridging the knowledge gaps in a collaborative policy making life-cycle. © Gesellschaft fur Informatik, Bonn 2013.

关键词： visual analytics

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Learn to compress and restore sequential data

Learn to compress and restore sequential data

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AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference

作者： Wang, Yi Feng, Jianhua Liu, Shixia Department of Computer Science Tsinghua University Beijing 100084 China Information Visualization and Interactive Visual Analytics IBM China Research Lab. Beijing 100094 China

No abstract available

ISBN: (纸本)1577353234

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Smart Grid monitoring through visual analysis

Smart Grid monitoring through visual analysis

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IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)

作者： Martin Steiger Thorsten May James Davey Jörn Kohlhammer Competence Center for Information Visualization Visual Analytics Fraunhofer IGD Darmstadt

In this paper we present a visualization system for the real-time monitoring of Smart Grids. In particular, it supports the control room operators of electric grids with large amounts of distributed power generation. As measurements are continuously read from connected Smart Meters, an expert system performs a classification of these events to relieve the operator from the manual inspection of irrelevant and trivial information items. A coordinated, multiple view environment displays the electric grid model which is annotated with status indicators. This gives the operator both a reasonable overview on the entire system, but also enables him to inspect specific parts in detail. Other sources of information such as ICT coverage and weather conditions are included to provide additional context. The visualization system thus provides monitoring and control support for operators to keep the grid in a stable condition.

关键词： visualization Expert systems Smart grids Monitoring Sensors Data visualization Electricity

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Dynamic process support based on users' behavior

Dynamic process support based on users' behavior

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International Conference on Interactive Collaborative Learning (ICL)

作者： Dirk Burkhardt Kawa Nazemi Information Visualization and Visual Analytics Fraunhofer-Institute for Computer Graphics Research Darmstadt Germany

Nowadays there is a gap between the possibilities and the massively existing data on the one side and the user as main worker on the other side. In different scenarios e.g. search, exploration, analysis and policy-modeling a user has to deal with massive information, but for this work he usually gets a static designed system. So meanwhile data-driven work-processes are increasing in its complexity the support of the users who are working with these data is limited on basic features. Hence this paper describes a concept for a process-supporting approach, which includes relevant aspects of users' behaviors in support him to successfully finish also complex tasks. This will be achieved by a process-based guidance with an automatic tools selection for every process and activity on the one hand. And on the other hand the consideration of expert-level of a user to a single task and process. This expert-level will be classified during each task and process interaction and allow the automatically selection of optimal tools for a concrete task. In final the user gets for every task an automatically initialized user-interface with useful and required tools.

关键词： Data visualization Process control Computers Adaptation models Software Context Business

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Towards process-oriented information visualization for supporting users

Towards process-oriented Information Visualization for suppo...

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International Conference on Interactive Collaborative Learning (ICL)

作者： Dirk Burkhardt Tobias Ruppert Kawa Nazemi Information Visualization and Visual Analytics Fraunhofer-Institute for Computer Graphics Research Darmstadt Germany

Nowadays daily office work consists of dealing with big numbers of data and data sources, and furthermore of working with complex computer programs. In consequence many users have problems to use such programs effective and efficient. In particular beginners have significant problems to use the programs correctly due to complex functionality and interaction options. To avoid this overload of the user, the information visualization community has recently developed some approaches that aim to support the users. Unfortunately, these approaches are limited to one special aspect, and sometimes they are just appropriate for one special task. Thus, in this paper we introduce a process-oriented user-supporting approach. It allows selecting adequate supporting techniques in correlation to a performed process and activity to guide the user and help him to solve his task. Furthermore, we show the benefits of designing programs and applications, which implement process definitions for the existing tasks to provide the user with better process orientation. This guides the user through difficult and complex processes.

关键词： Data visualization Semantics visual analytics Keyboards Computers Concrete

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Milling naturally smooth evolution of clusters from dynamic data

Milling naturally smooth evolution of clusters from dynamic ...

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7th SIAM International Conference on Data Mining

作者： Wang, Yi Liu, Shi-Xia Feng, Jianhua Zhou, Lizhu Department of Computer Science Tsinghua University and IBM China Research Lab. China Information Visualization and Interactive Visual Analytics IBM China Research Lab. China Department of Computer Science Tsinghua University China

ISBN: (纸本)9780898716306

Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input data points may move, disappeare, and emerge. Generally, these changes should result in a smooth evolution of the clusters. Mining this naturally smooth evolution is valuable for providing an aggregated view of the numerous individual behaviors. We solve this novel and generalized form of clustering problem by converting it into a Bayesian learning problem. Analogous to that the EM clustering algorithm clusters static data points by learning a Gaussian mixture model, our method mines the evolution of clusters from dynamic data points by learning a hidden semi-Markov model (HSMM). By utilizing characteristics of the evolutionary clustering problem, we derive a new unsupervised learning algorithm which is much more efficient than the algorithms used to learn traditional variable-duration HSMMs. Because the HSMM models the probabilistic relationship between the dynamic data set and corresponding evolving clusters, we can interpret the learned parameters as the evolving clusters intuitively using the Viterbi filtering technique. Because learning an HSMM is in fact learning an optimal Viterbi filter, the learned cluster evolutions are smooth and fit well with the data. We demonstrate the effectiveness of this method by experiments on both synthetic data and real data.

关键词： Clustering algorithms

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A Shape Change Enhancing Hierarchical Layout for the Pairwise Comparison of Directed Acyclic Graphs

arXiv

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arXiv 2024年

作者： Guckes, Kathrin Schäpers, Marc Pohl, Margit Kerren, Andreas von Landesberger, Tatiana Graphical Interactive Systems Group Technical University Darmstadt Germany Informatics TU Wien Austria Visualisierung und Visual Analytics University of Cologne Germany Information Visualization Group Linköping University Sweden

Comparing directed acyclic graphs (DAGs) is essential in various fields such as healthcare, social media, finance, biology, and marketing. DAGs often result from contagion processes over networks, including information spreading, retweet activity, disease transmission, financial crisis propagation, malware spread, and gene mutations. For instance, in disease spreading, an infected patient can transmit the disease to contacts, making it crucial to analyze and predict scenarios. Similarly, in finance, understanding the effects of saving or not saving specific banks during a crisis is vital. Experts often need to identify small differences between DAGs, such as changes in a few nodes or edges. Even the presence or absence of a single edge can be significant. visualization plays a crucial role in facilitating these comparisons. However, standard hierarchical layout algorithms struggle to visualize subtle changes effectively. The typical hierarchical layout, with the root on top, is preferred due to its performance in comparison to other layouts. Nevertheless, these standard algorithms prioritize single-graph aesthetics over comparison suitability, making it challenging for users to spot changes. To address this issue, we propose a layout that enhances shape changes in DAGs while minimizing the impact on aesthetics. Our approach involves outwardly swapping changes, altering the DAG’s shape. We introduce new drawing criteria: 1. Criteria for maximizing outward swaps of graph changes. 2. Criteria for reshaping the DAG by repositioning swapped changes. 3. Criteria for handling changes that cannot be outwardly swapped. Our layout builds upon a Sugiyama-like hierarchical layout and implements these criteria through two extensions. We designed it this way to maintain interchangeability and accommodate future optimizations, such as pseudo-nodes for edge crossing minimization. In our evaluations, our layout achieves excellent results, with edge crossing aesthetics averaging arou

关键词： Finance

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Fupol simulators and advanced visualization framework integration 26

Fupol simulators and advanced visualization framework integr...

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26th European Modeling and Simulation Symposium, EMSS 2014

作者： Ginters, Egils Aizstrauts, Artis Baltruks, Mikelis Nazemi, Kawa Burkhardt, Dirk Sonntagbauer, Peter Sonntagbaure, Susanne Gutierrez, Jorge Martin Sociotechnical Systems Engineering Institute of Vidzeme University of Applied Sciences Cesu street 4 ValmieraLV-4201 Latvia Information Visualization and Visual Analytics Fraunhofer-Institut für Graphische Datenverarbeitung Fraunhoferstr. 5 Darmstadt64283 Germany Cellent AG Ziegelofengasse 33 Vienna1050 Austria Dpto Expresion Grafica en Arquitectura e Ingenieria Universidad de La Laguna La Laguna Spain

ISBN: (纸本)9788897999324

FP7 FUPOL project No. 287119 (see ***) aims at a new approach to traditional politics modeling. The FUPOL will be able to automatically collect, analyze and interpret opinions expressed on a large scale from the Internet and social networks. This will enable governments to gain a better understanding of the needs of citizens. Likewise the software will have the capabilities to simulate the effects of policies and laws and to assist governments in the whole policy design process. Basic visualization of the simulation results are supported by the simulators however visualization facilities are limited, therefore for detailed visual analysis of simulation data SemasVis environment is used.

关键词： visualization

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