Studies show that many multi-scalar research problems cannot easily be addressed from the confines of individual disciplines for they require the participation of many experts, each viewing the problem from their distinctive disciplinary perspective. The bringing together of disparate
experts or fields of expertise is known as interdisciplinary research. The benefit of such an approach is that discourse and collaboration among experts in distinct fields can generate new insights to the research problem at hand. With this approach comes large amounts of multivariate data
and understanding the possible relationships between variables and their corresponding relevance to the problem is in itself a challenge. One of the most valuable means through which to comprehend big data and make it more approachable, is through data visualization. This paper presents a
trial to encompass an interdisciplinary research centers collaborators, experiments, and results, and represent them simultaneously through the use of a high-resolution visualization. Multiple studies on how best to visualize the multivalent parameters of interdisciplinary work are discussed,
highlighting how the use of an interactive data-driven documents (D3) visualization is proving very useful in managing and analyzing the interdisciplinary work of the center in the pursuit of common research goals.
No References for this article.
No Supplementary Data.
Document Type: Research Article
Publication date: 2016-02-01
More about this publication?
For more than 30 years, the Electronic Imaging Symposium has been serving those in the broad community - from academia and industry - who work on imaging science and digital technologies. The breadth of the Symposium covers the entire imaging science ecosystem, from capture (sensors, camera) through image processing (image quality, color and appearance) to how we and our surrogate machines see and interpret images. Applications covered include augmented reality, autonomous vehicles, machine vision, data analysis, digital and mobile photography, security, virtual reality, and human vision. IS&T began sole sponsorship of the meeting in 2016. All papers presented at EIs 20+ conferences are open access.
Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.