The moving target of visualization software for an increasingly complex world
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AbstractVisualization has evolved into a mature scientific field and it has also become widely accepted as a standard approach in diverse fields, including physics, life sciences, and business intelligence. However, despite its successful development, there are still many open research questions that require customized implementations in order to explore and establish concepts, and to perform experiments and take measurements. Many methods and tools have been developed and published but most are stand-alone prototypes and have not reached a mature state that can be used in a reliable manner by collaborating domain scientists or a wider audience. In this study, we discuss the challenges, solutions, and open research questions that affect the development of sophisticated, relevant, and novel scientific visualization solutions with minimum overheads. We summarize and discuss the results of a recent National Institute of Informatics Shonan seminar on these topics.
CitationReina, G., Childs, H., Matković, K., Bühler, K., Waldner, M., Pugmire, D., … Krone, M. (2020). The moving target of visualization software for an increasingly complex world. Computers & Graphics, 87, 12–29. doi:10.1016/j.cag.2020.01.005
SponsorsWe thank the National Institute of Informatics, Japan for giving us the opportunity to organize a Shonan Seminar. We also thank all the participants at Shonan Meeting No. 145 for contributing the ideas, which we have summarized in this report. In addition to the authors of this manuscript, the participants were: David DeMarle, Kitware; Johannes Günther, Intel Corporation; Markus Hadwiger, King Abdullah University of Science & Technology; Yun Jang, Sejong University; Shintaro Kawahara, JAMSTEC; Steve Legensky, Intelligent Light; Xavier Martinez, IBPC/CNRS; Kenneth Moreland, Sandia National Labs; Valerio Pascucci, University of Utah; Allen Sanderson, SCI/University of Utah; Claudio Silva, New York University; Ivan Viola, King Abdullah University of Science & Technology; Xiaoru Yuan, Peking University. This work was partially supported by the German Research Foundation (DFG, Deutsche Forschungsgemeinschaft) as well as the Czech Science Foundation (GAČR, Grantová agentura České republiky) within DFG project B05 of the collaborative research center SFB 1244 (project ID 279064222), DFG-GAČR project PROLINT (project IDs 391088465 / GC18-18647J), as well as DFG research software sustainability projects for Inviwo (project ID 391107954) and MegaMol (project ID 391302154). It was additionally supported by IntelⓇCorporation via the IntelⓇGraphics and Visualization Institutes of XeLLENCE program (CG #35512501). Michael Krone was funded by the Carl Zeiss Foundation. VRVis is funded by BMVIT, BMDW, Styria, SFG and Vienna Business Agency in the scope of COMET – Competence Centers for Excellent Technologies (854174), which is managed by FFG. Finally, we thank the anonymous reviewers for their very detailed feedback and additional insights.