* First IEEE VIS Workshop on Progressive Data Analysis and Visualization (PDAV) October 14, 8:30-11:30 am EDT at IEEE VIS 2024 <https://ieeevis.org/>, St. Pete Beach, Florida, and virtual The program of the workshop is now online: https://ieee-vis-pdav.github.io/program <https://ieee-vis-pdav.github.io/program> With three inspiring keynotes on very diverse and advanced domains and paper presentations: * The Time for Progressive Visualization is Increasingly Now, Danyel Fisher, USA * A Progressive Perspective on Topological Data Analysis, Julien Tierny, Université Paris-Sorbonne, FR * Explaining incremental models, Barbara Hammer, Chair of the Machine Learning research group at the Research Institute for Cognitive Interaction Technology (CITEC), Bielefeld University, DE The workshop is hybrid to allow all the communities concerned by scalability in data exploration to attend, including data management, simulation, statistics, machine learning, and visualization. IEEE VIS 2024's virtual registration <https://ieeevis.org/year/2024/info/registration/conference-registration>only costs $20, so don't hesitate to attend! What is Progressive Data Analysis and Visualization? Progressive Data Analysis and Visualization (PDAV) is a novel programming paradigm designed to achieve scalability in data exploration, interactive visualization, and visual analytics. It controls latency by replacing long computations with a series of smaller computations with bounded latency, improving iteratively until the whole computation is completed or until the user is satisfied with the latest iteration and stops. With PDAV, visual exploration systems can scale to large data sizes and use complex algorithms interactively, provided they are adapted to run progressively. This workshop is aimed at explaining and accelerating the development of the paradigm. More info: https://ieee-vis-pdav.github.io/ <https://ieee-vis-pdav.github.io/> For questions, please email the workshop chairs directly: pdav-chairs@ieeevis.org <mailto:pdav-chairs@ieeevis.org> Organizers Alex Ulmer, Fraunhofer IGD Jaemin Jo, Sungkyunkwan University Michael Sedlmair, University of Stuttgart Jean-Daniel Fekete, Inria & Université Paris-Saclay *