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            <pubDate>Thu, 18 Jun 2026 15:49:43 +0200</pubDate>
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                        <pubDate>Wed, 29 Apr 2026 09:55:00 +0200</pubDate>
                        <title>International Exchange on Continuous Learning in Software Developement</title>
                        <link>https://www.uni-bamberg.de/en/vis/news/artikel/internationaler-austausch-zum-kontinuierlichen-lernen-in-der-softwareentwicklung/</link>
                        <description>Co-Organizing a Dagstuhl Seminar</description>
                        <content:encoded><![CDATA[<p>We are co-organizing the <a href="https://www.dagstuhl.de/seminars/seminar-calendar/seminar-details/26492" target="_blank" rel="noreferrer">Dagstuhl Seminar <em data-start="235" data-end="289" data-is-only-node=""><i>“Supporting Software Engineers in Lifelong Learning”</i></em></a> &nbsp;later this year. Bringing together an international group of researchers, the seminar will explore how tools, data, and AI can better support continuous, on-the-job learning in software engineering. Dagstuhl Seminars are invitation-only and provide a focused setting for in-depth discussion and collaboration on emerging research challenges.</p>]]></content:encoded>
                        
                        
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                        <guid isPermaLink="false">news-31469</guid>
                        <pubDate>Mon, 20 Apr 2026 11:59:11 +0200</pubDate>
                        <title>The Group has moved to a new location at KI25</title>
                        <link>https://www.uni-bamberg.de/en/vis/news/artikel/the-group-has-moved-to-a-new-location-at-ki25/</link>
                        <description></description>
                        <content:encoded><![CDATA[<section data-turn-id="request-WEB:688934cf-cb42-45eb-b01e-3317233fb2c4-8" data-testid="conversation-turn-18" data-scroll-anchor="true" data-turn="assistant"><div><div><div><div data-message-author-role="assistant" data-message-id="510f4de8-3a0c-49cd-99a3-6c4856660d20" data-message-model-slug="gpt-5-3" data-turn-start-message="true"><div><div><p>Our research group has recently moved to a new location at <a href="/en/vis/kontaktnavigation/getting-here/#c715202">Kirschäckerstraße 25 (KI25)</a>, close to FEKI, where a new site with a media focus is being established. So far, our group and Sophie Jörg’s Computer Graphics Lab have moved to the new location. Most teaching activities remain unaffected and continue to take place at Erba.</p></div></div></div></div></div></div></section>]]></content:encoded>
                        
                        
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                        <guid isPermaLink="false">news-31056</guid>
                        <pubDate>Fri, 13 Feb 2026 08:49:00 +0100</pubDate>
                        <title>Visualization Pipeline Performance</title>
                        <link>https://www.uni-bamberg.de/en/vis/news/artikel/visualization-pipeline-performance/</link>
                        <description>Our new paper, “Visually enriching and comparing runtime performance of visualization pipelines,” has been published in the Journal of Visualization.</description>
                        <content:encoded><![CDATA[<p>Visualization pipelines are commonly represented as directed graphs, but analyzing and comparing their runtime performance remains challenging. In this work, we extend pipeline representations with fine-grained runtime metrics, enabling detailed post-mortem analysis and direct visual comparison of different pipeline configurations.</p>
<p>By integrating performance data directly into the visual structure, our approach helps identify bottlenecks, understand the impact of pipeline changes, and support more informed optimization decisions. We demonstrate the usefulness of the approach across multiple scientific visualization scenarios.</p>
<p><a href="https://link.springer.com/article/10.1007/s12650-025-01091-4" target="_blank" rel="noreferrer">Read the article</a></p>]]></content:encoded>
                        
                        
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                        <guid isPermaLink="false">news-30422</guid>
                        <pubDate>Tue, 04 Nov 2025 08:53:26 +0100</pubDate>
                        <title>Interactive Data Widgets</title>
                        <link>https://www.uni-bamberg.de/en/vis/news/artikel/interaktive-daten-widgets/</link>
                        <description>At this year’s IEEE VIS Conference, our group presented a workshop paper introducing viaWidgets—a concept that reimagines visualizations as interactive data widgets rather than static endpoints.</description>
                        <content:encoded><![CDATA[<p>Instead of only viewing data, users can <em data-start="380" data-end="408"><i>select, modify, and create</i></em> data directly within visualizations. Imagine drawing a crescent-shaped selection on a scatterplot, sketching a target time-series pattern, or adding points directly in the plot. viaWidgets turn visualizations into modular tools that feed structured input back into data workflows, particularly useful in notebook environments.</p>
<p>This idea builds on prior research and modern notebook widget ecosystems, showing how richer interaction can bridge visual exploration and coding.</p>
<p>Read the paper: <a href="https://osf.io/pme8j" target="_new" class="decorated-link" rel="noreferrer noopener" data-start="901" data-end="921">https://osf.io/pme8j</a></p>]]></content:encoded>
                        
                        
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                        <guid isPermaLink="false">news-27333</guid>
                        <pubDate>Wed, 13 Nov 2024 09:01:08 +0100</pubDate>
                        <title>PUREsuggest: Citation-based Visual Recommendatios of Literature</title>
                        <link>https://www.uni-bamberg.de/en/vis/news/artikel/puresuggest-citation-based-visual-recommendatios-of-literature/</link>
                        <description>In October, Fabian Beck presented an article on PUREsuggest, the search and recommendation tool for scientific literature developed at the group, at the IEEE VIS 2024 conference; the article appears in the renowned journal IEEE Transactions on Visualization and Computer Graphics.</description>
                        <content:encoded><![CDATA[<p><strong>Abstract:</strong> Citations allow quickly identifying related research. If multiple publications are selected as seeds, specifc suggestions for related literature can be made based on the number of incoming and outgoing citation links to this selection. Interactively adding recommended publications to the selection refnes the next suggestion and incrementally builds a relevant collection of publications. Following this approach, the paper presents a search and foraging approach, PUREsuggest, which combines citation-based suggestions with augmented visualizations of the citation network. The focus and novelty of the approach is, frst, the transparency of how the rankings are explained visually and, second, that the process can be steered through user-defned keywords, which refect topics of interests. The system can be used to build new literature collections, to update and assess existing ones, as well as to use the collected literature for identifying relevant experts in the feld. We evaluated the recommendation approach through simulated sessions and performed a user study investigating search strategies and usage patterns supported by the interface.</p>
<p><strong>Preprint: </strong><a href="https://arxiv.org/pdf/2408.02508" target="_blank" rel="noreferrer">arxiv.org/pdf/2408.02508</a></p>
<p><strong>Tool:</strong>&nbsp; <a href="https://fabian-beck.github.io/pure-suggest/" target="_blank" rel="noreferrer">fabian-beck.github.io/pure-suggest/</a></p>
<p><strong>GitHub: </strong><a href="https://github.com/fabian-beck/pure-suggest" target="_blank" rel="noreferrer">github.com/fabian-beck/pure-suggest</a></p>]]></content:encoded>
                        
                        
                            
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                        <pubDate>Fri, 18 Oct 2024 11:02:36 +0200</pubDate>
                        <title>Local Climate Data Stories</title>
                        <link>https://www.uni-bamberg.de/en/vis/news/artikel/local-climate-data-stories/</link>
                        <description>New paper presented at the workshop Viz4Climate + Sustainability: IEEE VIS 2024 Workshop on Visualization for Climate Action and Sustainability.</description>
                        <content:encoded><![CDATA[<p>Our research group has contributed a new workshop article titled <i>“Local Climate Data Stories: Data-driven Storytelling to Communicate Effects and Mitigation of Climate Change in a Local Context.”</i> The work focuses on utilizing data-driven storytelling to communicate the local impacts of climate change, emphasizing the need for location-specific solutions. The study analyzes the use of this pproach by local news media, explores educational aspects through university teaching examples, and highlights interdisciplinary research opportunities.</p><ul data-spread="false"> 	<li> 	<p><a href="https://visforclimateaction.github.io/papers/1008-doc.pdf" target="_blank" rel="noreferrer"><span>Paper</span></a></p> 	</li> 	<li> 	<p><a href="https://www.youtube.com/watch?v=cvyTM4TsL3w" target="_blank" rel="noreferrer"><span>Presentation video</span></a></p> 	</li> 	<li> 	<p><span>Blog post (de): </span><a href="https://www.smart-city-dialog.de/blogs/von-zahlen-zu-geschichten-mit-lokalen-klimadaten-zum-handeln-inspirieren" target="_blank" rel="noreferrer"><span>From Numbers to Stories: Inspiring Action with Local Climate Data</span></a></p> 	</li> </ul>]]></content:encoded>
                        
                        
                            
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                        <guid isPermaLink="false">news-26905</guid>
                        <pubDate>Fri, 04 Oct 2024 11:11:17 +0200</pubDate>
                        <title>Welcome, Leah Mühlöder!</title>
                        <link>https://www.uni-bamberg.de/en/vis/news/artikel/welcome-leah-muehloeder/</link>
                        <description>Leah Mühlöder joined our team in October 2024 and will conduct research on data-driven storytelling journalism.</description>
                        <content:encoded><![CDATA[<p><a href="/en/vis/team/leah-muehloeder/#c651110">Learn more about her</a>.</p>]]></content:encoded>
                        
                        
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                        <guid isPermaLink="false">news-26801</guid>
                        <pubDate>Wed, 11 Sep 2024 18:10:00 +0200</pubDate>
                        <title>&quot;Not just alluvial&quot; for Better Visual Comparison Among Set Partitions</title>
                        <link>https://www.uni-bamberg.de/en/vis/news/artikel/not-just-alluvial/</link>
                        <description>Project CoCo update: New paper presented at VMV 2024</description>
                        <content:encoded><![CDATA[<p>At the conference &quot;Vision, Modelling and Visualization (VMV) 2024&quot;, we presented our paper titled &quot;Not Just Alluvial: Towards a More Comprehensive Visual Analysis of Data Partition Sequences&quot;, authored by <a href="/en/vis/team/madhav-poddar/">Madhav Poddar</a>, <a href="https://vis.cs.rptu.de/team/sohns/" target="_blank" rel="noreferrer">Jan-Tobias Sohns</a>, and <a href="/en/vis/team/prof-dr-fabian-beck/">Fabian Beck</a>. It extends the stream-based alluvial diagrams for better visual comparison among partitions of sets.</p>
<p>This paper contributes to Project CoCo by enabling the analysis of clustering result sequences. However, it is domain-agnostic, making it applicable to broader set of use cases, such as evaluating multi-label classifier models.</p>
<p>Paper:<br /> <a href="https://diglib.eg.org/items/0c36bb49-db0f-4d45-96c4-3745edacc86b" target="_blank" rel="noreferrer">https://diglib.eg.org/items/0c36bb49-db0f-4d45-96c4-3745edacc86b</a></p>
<p>GitHub Repository:<br /> <a href="https://github.com/madhavpoddar/not_just_alluvial" target="_blank" rel="noreferrer">https://github.com/madhavpoddar/not_just_alluvial</a></p>]]></content:encoded>
                        
                        
                            
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                        <pubDate>Thu, 23 May 2024 10:39:12 +0200</pubDate>
                        <title>Our Research at EuroVis 2024</title>
                        <link>https://www.uni-bamberg.de/en/vis/news/artikel/our-research-at-eurovis-2024/</link>
                        <description>We will be presenting at the EuroVis 2024 conference in Odense, Denmark, where we will share our latest work through a short paper and two posters.</description>
                        <content:encoded><![CDATA[<p><strong>Short Paper Presentation: Dynamic Set Visualization</strong></p>
<p>Our short paper focuses on dynamic set visualization. This empirical study compares three state-of-the-art set visualization approaches through a user study. The insights gained will help improve the understanding and effectiveness of these visualizations. <a href="https://diglib.eg.org/items/2ae83ed8-0b79-4e8c-a656-69223b7cc57e" target="_blank" rel="noreferrer">[Paper]</a></p>
<p><strong>Poster Presentations:</strong></p><ol> 	<li><strong>Data-Driven Storytelling with Public Transport Data</strong>: We present an approach to data-driven storytelling in virtual reality, using public transport data to communicate travel times within the local bus network to a broad audience. This method aims to enhance the accessibility and understanding of transport data, and includes plans for audio narration. <a href="https://diglib.eg.org/items/52d92634-de64-4b2c-a6f4-afd0a84bcfa8" target="_blank" rel="noreferrer">[Paper]</a></li> 	<li><strong>Part-to-Whole Visualizations</strong>: This poster explores the design space of part-to-whole visualizations, discussing various aspects of visual encoding. Our goal is to contribute to the development of effective visualization techniques for representing part-to-whole relationships. <a href="https://diglib.eg.org/items/9e2f97ee-c048-486e-9082-32cb16f8b14c" target="_blank" rel="noreferrer">[Paper]</a></li> </ol><p>We look forward to engaging with the community and sharing our findings at <a href="https://event.sdu.dk/eurovis" target="_blank" rel="noreferrer">EuroVis 2024</a>.</p>]]></content:encoded>
                        
                        
                            
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                        <guid isPermaLink="false">news-25816</guid>
                        <pubDate>Tue, 23 Apr 2024 11:45:51 +0200</pubDate>
                        <title>Personalized Hotel Comparisons</title>
                        <link>https://www.uni-bamberg.de/en/vis/news/artikel/personalized-hotel-comparisons/</link>
                        <description>This week at PacificVis 2024, we present our full paper on “ViSCitR: Visual Summarization and Comparison of Hotel Reviews”. </description>
                        <content:encoded><![CDATA[<p>The proposed visual interface, ViSCitR, enhances the process of choosing hotels by integrating multiple comparison dimensions such as geographical location, category-specific ratings, rating trends, and summarized review points into an interactive document. The approach also includes a customizable sidebar allowing users to adjust their personal preferences and priorities, which dynamically alters the visual presentation.</p>
<p><span class="break-words"><span dir="ltr">While this work constitutes our final contribution to the vgiReports project (part of the VGIscience priority program funded by DFG), we are happy to continue our research toward more localized geographic data stories within the<span class="white-space-pre"> </span>Smart City Bamberg</span></span><span class="white-space-pre"> </span>initiative.<span class="white-space-pre"> </span></p>
<p><a href="/fileadmin/vis/research/publications/2024-pacificvis-viscitr.pdf">Full paper (preprint)</a> <span class="filesize">(4.3 MB)</span></p>]]></content:encoded>
                        
                        
                            
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