[Infovis] [Deadline Extension] BigVis 2023: 6th Big Data Visual Exploration & Analytics Workshop @ EDBT/ICDT 2023 Ioannina, Greece

[Nikos Bikakis]

*** SUMBISSION DEALINE EXTESNION: February 5, 2023 (AoE) ***


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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
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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
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   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
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   Submission: January 23, 2023 (AoE) => February 5, 2023 (AoE) [Extended]
   Notification: February 18, 2023
   Camera-ready: February 25, 2023
   Workshop: March 28, 2023


Special Issue
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     TBD


Organizing Committee
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   Nikos Bikakis, HMU & ATHENA Reacher Center, Greece
   Issei Fujishiro, Keio University, Japan
   Steffen Frey, University of Groningen, Netherlands
   George Papastefanatos, ATHENA Reacher Center, Greece
   Shixia Liu, Tsinghua University, China


Program Committee
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   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
   Eser Kandogan, Megagon Labs
   James Klosowski, AT&T Labs Research
   Manolis Koubarakis, National and Kapodistrian University of Athens, Greece
   Jie Li, Tianjin University, China
   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