The moving target of visualization software for an increasingly complex world

Guido Reina; Hank Childs; Krešimir Matković; Katja Bühler; Manuela Waldner; David Pugmire; Barbora Kozlíková; Timo Ropinski; Patric Ljung; Takayuki Itoh; Eduard Gröller; Michael Krone

doi:10.1016/j.cag.2020.01.005

The moving target of visualization software for an increasingly complex world

Guido Reina, Hank Childs, Krešimir Matković, Katja Bühler, Manuela Waldner, David Pugmire, Barbora Kozlíková, Timo Ropinski, Patric Ljung, Takayuki Itoh, Eduard Gröller, Michael Krone

Research output: Contribution to journal › Article › peer-review

17 Scopus citations

Abstract

Visualization 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.

Original language	English (US)
Pages (from-to)	12-29
Number of pages	18
Journal	Computers and Graphics (Pergamon)
Volume	87
DOIs	https://doi.org/10.1016/j.cag.2020.01.005
State	Published - Feb 12 2020
Externally published	Yes

Bibliographical note

KAUST Repository Item: Exported on 2022-06-21
Acknowledgements: We 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.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
General Engineering
Human-Computer Interaction

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10.1016/j.cag.2020.01.005

Cite this

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title = "The moving target of visualization software for an increasingly complex world",

abstract = "Visualization 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.",

author = "Guido Reina and Hank Childs and Kre{\v s}imir Matkovi{\'c} and Katja B{\"u}hler and Manuela Waldner and David Pugmire and Barbora Kozl{\'i}kov{\'a} and Timo Ropinski and Patric Ljung and Takayuki Itoh and Eduard Gr{\"o}ller and Michael Krone",

note = "KAUST Repository Item: Exported on 2022-06-21 Acknowledgements: We 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 G{\"u}nther, 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 (GA{\v C}R, Grantov{\'a} agentura {\v C}esk{\'e} republiky) within DFG project B05 of the collaborative research center SFB 1244 (project ID 279064222), DFG-GA{\v C}R 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. This publication acknowledges KAUST support, but has no KAUST affiliated authors.",

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doi = "10.1016/j.cag.2020.01.005",

language = "English (US)",

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T1 - The moving target of visualization software for an increasingly complex world

AU - Reina, Guido

AU - Childs, Hank

AU - Matković, Krešimir

AU - Bühler, Katja

AU - Waldner, Manuela

AU - Pugmire, David

AU - Kozlíková, Barbora

AU - Ropinski, Timo

AU - Ljung, Patric

AU - Itoh, Takayuki

AU - Gröller, Eduard

AU - Krone, Michael

N1 - KAUST Repository Item: Exported on 2022-06-21 Acknowledgements: We 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. This publication acknowledges KAUST support, but has no KAUST affiliated authors.

PY - 2020/2/12

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N2 - Visualization 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.

AB - Visualization 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.

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DO - 10.1016/j.cag.2020.01.005

M3 - Article

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JO - Computers and Graphics (Pergamon)

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ER -

The moving target of visualization software for an increasingly complex world

Abstract

Bibliographical note

ASJC Scopus subject areas

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