September 2024 - FG-VIS

Meeting GI FG Visualisierung @ VMV
by Johanna Schmidt 12 Oct '25

12 Oct '25

Liebe Kolleg:innen, aus dieses Jahr wird das jährliche Meeting der GI Fachgruppe Visualisierung auf der VMV stattfinden. Wir haben dafür folgenden Termin fixiert: _ Freitag, 13.9.2024, 12:00 - 13:00_ Für die lokalen Teilnehmer:innen: TU München Garching (VMV Venue), Seminarraum 02.09.023 Es wird ein Catering geben, für Mittagessen ist also gesorgt. Für die hybriden Teilnehmer:innen: Bitte in das Zoom-Meeting einwählen https://us06web.zoom.us/j/87507387268?pwd=ttdcXl5FEkdbTNPZidalRea2eRyCSI.1 _Agenda_ - Bericht über letztes Jahr - Vorstellung unserer Sammlung von VIS-Themen der vergangenen Jahre - Feedback sammeln bzw. offene Diskussion - Verschiedenes Falls ihr lieber mit eurem Kalender arbeitet, es folgt noch eine extra Termineinladung. Wir freuen uns auf Eure Teilnahme! Liebe Grüße, Johanna Schmidt Lars Linsen Daniel Weiskopf -- Dr. Johanna Schmidt Head of Visual Analytics Group VRVis Forschungs-GmbH,www.VRVis.at, FN: 195369h, HG Wien mail:johanna.schmidt@vrvis.at tel +43(0)1 9089892 302

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CfP: Special Track on Simulation Visualization at ACM SIGSIM PADS
by Stefan Bruckner 24 Sep '24

24 Sep '24

Dear colleagues, At the upcoming ACM SIGSIM International Conference on Principles of Advanced Discrete Simulation (PADS) there will be a special track on "Visualization for Communicating and Understanding Simulation Studies and Results". (see https://sigsim.acm.org/conf/pads/2025/blog/cfp/) This track encourages submissions that focus on visualization and visual analytics methods and tools for enhancing the communication and interpretation of simulation results. The conference invites submissions of both full papers (at most 10 pages, not including references) as well as short papers (at most 4 pages, not including references). Papers can be submitted to two calls. Papers submitted to the first call may receive reviews that include suggestions for improvements, areas of concern, and additional points that can be addressed or incorporated. Papers can also be directly submitted to the second call. A regular review process will occur in this case, with an accept/reject outcome. *) Submission Deadline, First Call: November 1, 2024 *) First Notification of Acceptance: December 16, 2024 *) Submission Deadline, Second Call: January 24, 2025 *) Second Notification of Acceptance: March 24, 2025 Irrespective of the call they were submitted to, papers selected by the program committee will be included in a special issue of ACM Transactions on Modeling and Computer Simulation (TOMACS). For more information, please refer to the conference website: https://sigsim.acm.org/conf/pads/2025/ The special track is designed to attract an interdisciplinary audience, including visualization researchers and practitioners who are keen on developing innovative techniques for interpreting and communicating complex data, as well as members of the simulation community interested in leveraging advanced visualization methods to enhance the analysis and presentation of their simulation studies. The goal is to foster collaboration and knowledge exchange between these communities to drive forward both fields. Topics of interest include, but are not limited to: *) Visualization for Decision Support: Design and development of visual tools that enhance decision-making processes by effectively conveying simulation outcomes *) Comparative Visualization: Techniques for comparing multiple simulations or datasets visually to identify patterns, differences, and trends *) Uncertainty Visualization: Visual methods for representing and communicating uncertainties inherent in simulation studies *) Scalability in Visualization: Approaches for handling large-scale simulation data in a visually effective manner *) Storytelling and Narrative Visualization: Methods and approaches for creating dynamic narratives around simulation studies *) Immersive Analytics: Solutions that allow users to interact with and explore simulation data in immersive environments *) User-Centered Design: Creating visualization tools tailored to the needs of diverse stakeholders, from modelers to decision-makers *) Automated Visualization Pipelines: Methodologies for automating the generation of insightful visualizations from simulation results *) Machine Learning Integration: Visualization methods that incorporate machine learning to automatically generate, optimize, or refine visual representations of simulation data // Prof. Dr. Stefan Bruckner // Chair of Visual Analytics // Institute for Visual and Analytic Computing // University of Rostock // E-Mail: stefan.bruckner(a)uni-rostock.de // Phone: +49 381 498 7490 / +49 381 498 7481 (secr.)

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Antw: [EXT] CfP: Special Track on Simulation Visualization at ACM SIGSIM PADS (out-of-office message)
by Dorit Merhof 24 Sep '24

24 Sep '24

I am out of the office until 28th September without email contact. I'll respond to your message after my return. In case of emergency, please contact Nicole Kerscher (email: nicole.kerscher(a)ur.de) Best regards, Dorit Merhof >>> Stefan Bruckner <stefan.bruckner(a)uni-rostock.de> 24.9.24 09:16 >>> Dear colleagues, At the upcoming ACM SIGSIM International Conference on Principles of Advanced Discrete Simulation (PADS) there will be a special track on "Visualization for Communicating and Understanding Simulation Studies and Results". (see https://sigsim.acm.org/conf/pads/2025/blog/cfp/) This track encourages submissions that focus on visualization and visual analytics methods and tools for enhancing the communication and interpretation of simulation results. The conference invites submissions of both full papers (at most 10 pages, not including references) as well as short papers (at most 4 pages, not including references). Papers can be submitted to two calls. Papers submitted to the first call may receive reviews that include suggestions for improvements, areas of concern, and additional points that can be addressed or incorporated. Papers can also be directly submitted to the second call. A regular review process will occur in this case, with an accept/reject outcome. *) Submission Deadline, First Call: November 1, 2024 *) First Notification of Acceptance: December 16, 2024 *) Submission Deadline, Second Call: January 24, 2025 *) Second Notification of Acceptance: March 24, 2025 Irrespective of the call they were submitted to, papers selected by the program committee will be included in a special issue of ACM Transactions on Modeling and Computer Simulation (TOMACS). For more information, please refer to the conference website: https://sigsim.acm.org/conf/pads/2025/ The special track is designed to attract an interdisciplinary audience, including visualization researchers and practitioners who are keen on developing innovative techniques for interpreting and communicating complex data, as well as members of the simulation community interested in leveraging advanced visualization methods to enhance the analysis and presentation of their simulation studies. The goal is to foster collaboration and knowledge exchange between these communities to drive forward both fields. Topics of interest include, but are not limited to: *) Visualization for Decision Support: Design and development of visual tools that enhance decision-making processes by effectively conveying simulation outcomes *) Comparative Visualization: Techniques for comparing multiple simulations or datasets visually to identify patterns, differences, and trends *) Uncertainty Visualization: Visual methods for representing and communicating uncertainties inherent in simulation studies *) Scalability in Visualization: Approaches for handling large-scale simulation data in a visually effective manner *) Storytelling and Narrative Visualization: Methods and approaches for creating dynamic narratives around simulation studies *) Immersive Analytics: Solutions that allow users to interact with and explore simulation data in immersive environments *) User-Centered Design: Creating visualization tools tailored to the needs of diverse stakeholders, from modelers to decision-makers *) Automated Visualization Pipelines: Methodologies for automating the generation of insightful visualizations from simulation results *) Machine Learning Integration: Visualization methods that incorporate machine learning to automatically generate, optimize, or refine visual representations of simulation data // Prof. Dr. Stefan Bruckner // Chair of Visual Analytics // Institute for Visual and Analytic Computing // University of Rostock // E-Mail: stefan.bruckner(a)uni-rostock.de // Phone: +49 381 498 7490 / +49 381 498 7481 (secr.)

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We are hiring: University Assistant Post-Doc [DL: October 10th, 2024]
by Miksch Silvia 22 Sep '24

22 Sep '24

TL;DR: University Assistant Post-Doc in the field of Visual Analytics and Visualization (focus on network visualization, time, space, and uncertainty) At the Institute of Visual Computing and Human-Centered Technology, TU Wien, in our Research Unit of Visual Analytics, is offering a position as a University Assistant Post-Doc (all genders) for 6 years for 40 hours/week. >>> Research Topics: Visual Analytics and Visualization (focus on network visualization, time, space, and uncertainty) For more information see: https://jobs.tuwien.ac.at/Job/239572 Entry-level salary is determined by the pay grade B1 of the Austrian collective agreement for university staff. This is a minimum of currently EUR 4,752.30/month gross, 14 times/year for 40 hours/week. Relevant working experiences may increase the monthly income. We look forward to receiving your application until October 10th, 2024. Any questions, please contact silvia.miksch(a)tuwien.ac.at We are looking forward to your applications ================================================================ Silvia Miksch, Univ.-Prof. Ph.D. MSc. Vienna University of Technology (TU Wien) Faculty of Informatics Institute of Visual Computing and Human-Centered Technology Favoritenstrasse 9-11 / 193-07 A-1040 Vienna, Austria, Europe email: silvia.miksch(a)tuwien.ac.at url: https://www.cvast.tuwien.ac.at/team/silvia-miksch phone: +43-1-58801-18824 phone-sec: +43-1-58801-18801 ================================================================= :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: B O O K 2nd edition ::: VISUALIZATION OF TIME-ORIENTED DATA Wolfgang Aigner • Silvia Miksch • Heidrun Schumann • Christian Tominski Springer, 2023 • http://www.timeviz.net :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: B O O K 2nd edition :::

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Antw: [EXT] We are hiring: PhD student positions within Cluster of Excellence Bilateral Artificial Intelligence (out-of-office message)
by Dorit Merhof 22 Sep '24

22 Sep '24

I am out of the office until 28th September without email contact. I'll respond to your message after my return. In case of emergency, please contact Nicole Kerscher (email: nicole.kerscher(a)ur.de) Best regards, Dorit Merhof >>> Miksch Silvia <silvia.miksch(a)tuwien.ac.at> 22.9.24 21:40 >>> TL;DR: For our research unit, we are seeking for a PhD student in the field of Visual Analytics & Dynamic Network Visualizations see https://www.vcla.at/2024/08/open-positions-cluster-of-excellence/#miksch ********************************************************* Cluster of Excellence Bilateral Artificial Intelligence ********************************************************* Call for Applications For the recently established Cluster of Excellence (CoE) Bilateral Artificial Intelligence (BILAI), funded by the Austrian Science Fund (FWF), we are looking for more than 50 PhD students and 10 Post-Doc researchers (m/f/d) to join our team at one of the six leading research institutions across Austria (see below). In BILAI, major Austrian players in Artificial Intelligence (AI) are teaming up to work towards Broad AI. As opposed to Narrow AI, which is characterized by task-specific skills, Broad AI seeks to address a wide array of problems, rather than being limited to a single task or domain. To develop its foundations, BILAI employs a Bilateral AI approach, effectively combining sub-symbolic AI (neural networks and machine learning) with symbolic AI (logic, knowledge representation, and reasoning) in various ways. Harnessing the full potential of both symbolic and sub-symbolic approaches can open new avenues for AI, enhancing its ability to solve novel problems, adapt to diverse environments, improve reasoning skills, and increase efficiency in computation and data use. These key features enable a broad range of applications for Broad AI, from drug development and medicine to planning and scheduling, autonomous traffic management, and recommendation systems. Prioritizing fairness, transparency, and explainability, the development of Broad AI is crucial for addressing ethical concerns and ensuring a positive impact on society. The research team is committed to cross-disciplinary work in order to provide theory and models for future AI and deployment to applications. CoE Research Institutions: Johannes Kepler Universität Linz (JKU Linz) Technische Universität Wien (TU Wien) Alpen-Adria-Universität Klagenfurt (AAU) Institute of Science and Technology Austria (ISTA) Technische Universität Graz (TU Graz) Wirtschaftsuniversität Wien (WU Wien) The call for applications is available at https://www.bilateral-ai.net/jobs/. For our research unit, we are seeking for a PhD student in the field of Visual Analytics & Dynamic Network Visualizations see https://www.vcla.at/2024/08/open-positions-cluster-of-excellence/#miksch _______________________________________________ FG-VIS Mailingliste -- fg-vis(a)lists.gi.de Zur Abmeldung von dieser Mailingliste senden Sie eine Nachricht an fg-vis-leave(a)lists.gi.de

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We are hiring: PhD student positions within Cluster of Excellence Bilateral Artificial Intelligence
by Miksch Silvia 22 Sep '24

22 Sep '24

TL;DR: For our research unit, we are seeking for a PhD student in the field of Visual Analytics & Dynamic Network Visualizations see https://www.vcla.at/2024/08/open-positions-cluster-of-excellence/#miksch ********************************************************* Cluster of Excellence Bilateral Artificial Intelligence ********************************************************* Call for Applications For the recently established Cluster of Excellence (CoE) Bilateral Artificial Intelligence (BILAI), funded by the Austrian Science Fund (FWF), we are looking for more than 50 PhD students and 10 Post-Doc researchers (m/f/d) to join our team at one of the six leading research institutions across Austria (see below). In BILAI, major Austrian players in Artificial Intelligence (AI) are teaming up to work towards Broad AI. As opposed to Narrow AI, which is characterized by task-specific skills, Broad AI seeks to address a wide array of problems, rather than being limited to a single task or domain. To develop its foundations, BILAI employs a Bilateral AI approach, effectively combining sub-symbolic AI (neural networks and machine learning) with symbolic AI (logic, knowledge representation, and reasoning) in various ways. Harnessing the full potential of both symbolic and sub-symbolic approaches can open new avenues for AI, enhancing its ability to solve novel problems, adapt to diverse environments, improve reasoning skills, and increase efficiency in computation and data use. These key features enable a broad range of applications for Broad AI, from drug development and medicine to planning and scheduling, autonomous traffic management, and recommendation systems. Prioritizing fairness, transparency, and explainability, the development of Broad AI is crucial for addressing ethical concerns and ensuring a positive impact on society. The research team is committed to cross-disciplinary work in order to provide theory and models for future AI and deployment to applications. CoE Research Institutions: Johannes Kepler Universität Linz (JKU Linz) Technische Universität Wien (TU Wien) Alpen-Adria-Universität Klagenfurt (AAU) Institute of Science and Technology Austria (ISTA) Technische Universität Graz (TU Graz) Wirtschaftsuniversität Wien (WU Wien) The call for applications is available at https://www.bilateral-ai.net/jobs/. For our research unit, we are seeking for a PhD student in the field of Visual Analytics & Dynamic Network Visualizations see https://www.vcla.at/2024/08/open-positions-cluster-of-excellence/#miksch

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Antw: [EXT] Meeting GI FG Visualisierung @ VMV (out-of-office message)
by Dorit Merhof 02 Sep '24

02 Sep '24

I am out of the office until 28th September without email contact. I'll respond to your message after my return. In case of emergency, please contact Nicole Kerscher (email: nicole.kerscher(a)ur.de) Best regards, Dorit Merhof >>> Johanna Schmidt <johanna.schmidt(a)vrvis.at> 2.9.24 17:33 >>> Liebe Kolleg:innen, aus dieses Jahr wird das jährliche Meeting der GI Fachgruppe Visualisierung auf der VMV stattfinden. Wir haben dafür folgenden Termin fixiert: _ Freitag, 13.9.2024, 12:00 - 13:00_ Für die lokalen Teilnehmer:innen: TU München Garching (VMV Venue), Seminarraum 02.09.023 Es wird ein Catering geben, für Mittagessen ist also gesorgt. Für die hybriden Teilnehmer:innen: Bitte in das Zoom-Meeting einwählen https://us06web.zoom.us/j/87507387268?pwd=ttdcXl5FEkdbTNPZidalRea2eRyCSI.1 _Agenda_ - Bericht über letztes Jahr - Vorstellung unserer Sammlung von VIS-Themen der vergangenen Jahre - Feedback sammeln bzw. offene Diskussion - Verschiedenes Falls ihr lieber mit eurem Kalender arbeitet, es folgt noch eine extra Termineinladung. Wir freuen uns auf Eure Teilnahme! Liebe Grüße, Johanna Schmidt Lars Linsen Daniel Weiskopf -- Dr. Johanna Schmidt Head of Visual Analytics Group VRVis Forschungs-GmbH,www.VRVis.at, FN: 195369h, HG Wien mail:johanna.schmidt@vrvis.at tel +43(0)1 9089892 302

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