IVAPP 2025: International Conference on Information Visualization Theory and Applications

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The conference will be structured around several Information and Data Visualization topics (listed below), and we welcome papers describing original work in any of these topics. We also encourage papers describing advanced prototypes, systems, tools and techniques, general survey papers indicating future directions, and theoretical or empirical contributions. Paper acceptance will be based on quality, relevance to the conference theme and originality. The conference program will focus on oral and poster presentations, although proposals for sessions dedicated to case-studies and commercial presentations, as well as technical tutorials, are also encouraged. CONFERENCE AREAS Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas: 1. INFORMATION VISUALIZATION 2. SCIENTIFIC VISUALIZATION 3. VISUALIZATION TECHNIQUES AREA 1: INFORMATION VISUALIZATION Algorithm Transparency Data Driven Storytelling Dynamic or Temporal Data Visualisation Multi-sensory Data Presentation Small-screen visualisation Databases and Visualization, Visual Data Mining Explainable AI and Visualization Graph Visualization Internet, Web and Security Visualization Multi-dimensional or Multivariate data visualisation Software Visualization Text and Document Visualization AREA 2: SCIENTIFIC VISUALIZATION Biomedical Visualization and Applications Flow Visualization Geographic Information Visualisation GPU-based Visualization Uncertainty Visualization Virtual Environments and Data Visualization Volume Visualization Visualization Tools and Systems for Simulation and Modeling AREA 3: VISUALIZATION TECHNIQUES Coordinated and Multiple Views Glyph-Based Visualization Human-Centered Aspects of Visualization Immersive Analytics Perception and Cognition in Visualization Usability and Empirical Studies of Visualizations Visual Analytics Visualization Algorithms and Technologies Visualization Applications Big Data Visualisation Data Management and Knowledge Representation High-Dimensional Data and Dimensionality Reduction Visual Data Analysis and Knowledge Discovery Visual Representation and Interaction</pre><div class="alert alert-warning"> Last updated by <a href="/researcher/1">Dou Sun</a> in 2024-06-30</div> </div> </div>  <div class="portlet" id="yw2"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-th"></i> Related Conferences</div> </div> <div class="portlet-content"> <div class="hidden-phone"> <div id="yw3" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw3_c0">CCF</th><th id="yw3_c1">CORE</th><th id="yw3_c2">QUALIS</th><th id="yw3_c3">Short</th><th id="yw3_c4">Full Name</th><th id="yw3_c5">Submission</th><th id="yw3_c6">Notification</th><th id="yw3_c7">Conference</th></tr> 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