Call for Papers BigVis 2023: 6th International Workshop on Big Data Visual Exploration and Analytics  https://bigvis.imsi.athenarc.gr/bigvis2023  March 28 2023, Ioannina, GR Held in conjunction with the 26th Intl. Conference on Extending Database Technology & 26th Intl. Conference on Database Theory (EDBT/ICDT 2023) Information Visualization is nowadays one of the cornerstones of Data Science, turning the abundance of Big Data being produced through modern systems into actionable knowledge. Indeed, the Big Data era has realized the availability of voluminous datasets that are dynamic, noisy and heterogeneous in nature. Transforming a data-curious user into someone who can access and analyze that data is even more burdensome now for a great number of users with little or no support and expertise on the data processing part. Thus, the area of data visualization, visual exploration and analysis has gained great attention recently, calling for joint action from different research areas from the HCI, Computer graphics and Data management and mining communities. In this respect, several traditional problems from these communities such as efficient data storage, querying & indexing for enabling visual analytics, new ways for visual presentation of massive data, efficient interaction and personalization techniques that can fit to different user needs are revisited. The modern exploration and visualization systems should nowadays offer scalable techniques to efficiently handle billion objects datasets, limiting the visual response in a few milliseconds along with mechanisms for information abstraction, sampling and summarization for addressing problems related to visual information over-plotting. Further, they must encourage user comprehension offering customization capabilities to different user-defined exploration scenarios and preferences according to the analysis needs. Overall, the challenge is to offer self-service visual analytics, i.e. enable data scientists and business analysts to visually gain value and insights out of the data as rapidly as possible, minimizing the role of IT-expert in the loop. The BigVis workshop aims at addressing the above challenges and issues by providing a forum for researchers and practitioners to discuss, exchange, and disseminate their work. BigVis attempts to attract attention from the research areas of Data Management & Mining, Information Visualization and Human-Computer Interaction and highlight novel works that bridge together these communities. Workshop Topics ------------------------------------ In the context of visual exploration and analytics, topics of interest include, but are not limited to:  - Visualization, exploration & analytics techniques for various data types; e.g., stream, spatial, graph  - Human -in -the -loop processing  - Human -centered databases  - Data modeling, storage, indexing, caching, prefetching & query processing for interactive applications  - Interactive & human -centered machine learning  - Interactive data mining  - User -oriented visualization; e.g., recommendation, assistance, personalization  - Visualization & knowledge; e.g., storytelling  - Progressive analytics  - In -situ visual exploration & analytics  - Novel interface & interaction paradigms  - Visual representation techniques; e.g., aggregation, sampling, multi -level, filtering  - Scalable visual operations; e.g., zooming, panning, linking, brushing  - Scientific visualization; e.g., volume visualization  - Analytics in the fields of scholarly data, digital libraries, multimedia, scientific data, social data, etc.  - Immersive visualization  - Interactive computer graphics  - Setting -oriented visualization; e.g., display resolution/size, smart phones, visualization over networks  - High performance, distributed & parallel techniques  - Visualization hardware & acceleration techniques  - Linked Data & ontologies visualization  - Benchmarks for data visualization & analytics  - Case & user studies  - Systems & tools Submissions ------------------------------------  Regular/Short Research papers [up to 8/4 pages]  Work-in-progress papers [up to 4 pages]  Vision papers [up to 4 pages]  System papers and Demos [up to 4 pages] Important Dates ------------------------------------  Submission: January 23, 2023 (AoE)  Notification: February 18, 2023  Camera-ready: February 25, 2023  Workshop: March 28, 2023 Special Issue ------------------------------------   TBD Organizing Committee ------------------------------------  Nikos Bikakis, HMU & ATHENA Reacher Center, Greece  Issei Fujishiro, Keio University, Japan  Steffen Frey University of Stuttgart, Germany  George Papastefanatos, ATHENA Reacher Center, Greece  Shixia Liu, Tsinghua University, China Program Committee ------------------------------------  James Abello, Rutgers University, USA  Gennady Andrienko, Fraunhofer, Germany  Natalia Andrienko, Fraunhofer, Germany  Marco Angelini, Sapienza University of Rome, Italy  Michael Behrisch, Utrecht University, Netherlands  Jürgen Bernard, University of Zurich, Switzerland  Jacob Biehl, University of Pittsburgh, USA  Yiru Chen, Columbia University, USA  Eva Chondrodima, University of Piraeus, Greece  Panos Chrysanthis, University of Pittsburgh, USA  Daniel Deutch, Tel Aviv University, Israel  Katerina Doka, National Technical University of Athens, Greece  Mennatallah El-Assady, University of Konstanz, Germany  Jean-Daniel Fekete, INRIA, France  Irini Fundulaki, ICS-FORTH, Greece  Christoph Garth, Technische Universität Kaiserslautern, Germany  Parke Godfrey, York University, USA  Herodotos Herodotou, Cyprus University of Technology, Cyprus  Ekaterini Ioannou, University of Tilburg, Netherlands  Stefan Jänicke, Leipzig University, Germany  Li Jie, Tianjin University, China  Eser Kandogan, Megagon Labs  James Klosowski, AT&T Labs Research  Manolis Koubarakis, National and Kapodistrian University of Athens, Greece  Stavros Maroulis, National Technical University of Athens, Greece  Suvodeep Mazumdar, The University of Sheffield, United Kingdom  Silvia Miksch, Vienna University of Technology, Austria  Davide Mottin, Aarhus University, Denmark  Evaggelia Pitoura, University of Ioannina, Greece  Laura Po, Unimore, Italy  Giuseppe Polese, University of Salerno, Italy  Kristin Potter, NREL, USA  Sajjadur Rahman, Megagon Labs  Alexander Rind, St. Pölten University of Applied Sciences, Austria  Panagiotis Ritsos, Bangor University, United Kingdom  Maria Riveiro, Jönköping University, Sweden  Hans-Jörg Schulz, Aarhus University, Denmark  Michael Sedlmair, University of Stuttgart, Germany  Tarique Siddiqui, Microsoft Research  Dimitrios Skoutas, Athena Research Center, Creece  Kavitha Srinivas, IBM  Arjun Srinivasan, Georgia Institute of Technology, USA  Manuel Stein, University Konstanz, Germany  Christian Tominski, University of Rostock, Germany  Natkamon Tovanich, École Polytechnique, France  Katerina Tzompanaki, CY Cergy Paris University, France  Katerina Vrotsou, Linköping University, Sweden  Sean Wang, Fudan University, China  Junpeng Wang, Visa Research  Jules Wulms, Vienna University of Technology, Austria  Jiazhi Xia, Central South University, China  Panpan Xu, Bosch Research  Hongfeng Yu, University of Nebraska-Lincoln, USA  Demetris Zeinalipour, University of Cyprus, Cyprus  Dimitris Zissis, Marine Traffic -- Nikos Bikakis Information Management Systems Institute ATHENA Research Center Athens | Greece www.nbikakis.com -- _ nikos