Art and science as creative catalysts

Eleanor Gates-Stuart, Choung Nguyen, Matt Adcock, Jay Bradley, Matthew K. Morell, David Lovell

Research output: Book chapter/Published conference paperConference paperpeer-review

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People tend to judge the benefits of Science Art collaborations by their tangible outputs, such as artworks, visualisations and other artefacts generally accessible to a wide audience. We argue that the process by which these artworks were created can be a significant, or even the principal benefit of these collaborations, even though it might be largely invisible to anyone other than the collaborators. We describe our experience of Art and Science as mutual catalysts for creativity and imagination within the context of a large multidisciplinary research organisation (The Commonwealth Scientific and Industrial Research Organisation—CSIRO) and a major national exhibition—The Centenary of Canberra Science Art Commission. We have formed a view that Science and Art often pursue orthogonal dimensions of creativity and innovation, and that with the right approach and attitude, collaborators can combine these dimensions to access new areas of imagination and ideas. We discuss some of the challenges we have experienced in pursuing this aim, but conclude that the rewards to Art and Science—and the benefits they deliver to society—are well worth it.
Original languageEnglish
Title of host publicationIEEE VIS Arts Program (VISAP)
Place of PublicationAtlanta, Georgia
Publisher IEEE VIS Arts Program (VISAP)
Number of pages8
Publication statusPublished - 2013
EventIEEE Visualization (VIS 2013): 2013 IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV) - Marriott Marquis Hotel, Atlanta, United States
Duration: 13 Oct 201314 Oct 2013 (Conference website) (Parent conference website) (Conference proceedings)


ConferenceIEEE Visualization (VIS 2013)
Country/TerritoryUnited States
OtherIn many areas of science, simulations and experiments begin to generate many petabytes of data, with some sciences facing exabytes of data near term. Similarly, the collection of information about the Internet applications and users for a variety of purposes is generating only more data. Our ability to manage, mine, analyze, and visualize the data is fundamental to the knowledge discovery process. That is, the value of data at extreme scale can be fully realized only if we have an end-to-end solution, which demands a collective, inter-disciplinary effort to develop.

This new symposium, held in conjunction with IEEE Vis 2013, aims at bringing together domain scientists, data analytics and visualization researchers, and users, and fostering the needed exchange to develop the next-generation data-intensive analysis and visualization technology. Attendees will be introduced to the latest and greatest research innovations in large data management, analysis, and visualization, learn how these innovations impact data intensive computing and knowledge discovery, and also learn about the critical issues in creating a complete solution through both invited and contributed talks, and panel discussion. Paper submissions are solicited for a long paper event that describes large data visualization techniques and systems, and a short paper event for practitioners to describe and present their large data visualization applications. Topic emphasis is on algorithms, languages, systems and hardware that supports the analysis and visualization of large data.
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