Submissions due: 1 July 2020
Publication: January/February 2021
IEEE Computer Graphics and Applications plans a special issue on climate change. Climate trends are studied by scientists through innovative cross-disciplinary research such as physical ice and soil core sampling, geological investigation of the rock record, paleontological investigation of the fossil record, and even astronomical and cosmological hypotheses supported by space-based evidence. The computer graphics and applications community develops tools and processes to support communication, learning, problem-solving, and decision-making with data. We wish to motivate the community with quality articles on graphical tools, applications, and products that educate and inspire our readership as to the way forward in understanding the climate and pursuing consensus through better use of our community’s methods while priming a discussion of our community’s results. Climate change is shaping up to be an opportunity for humanity to work together on issues that are truly interconnected and global in scope, and relevant graphical methods can come from analytics related to other global issues (such as health, food security, and air and water quality) that likely have components of climate-change ramifications. The globalization trends in our culture, government, and business practices suggest the potential for climate-related issues to grow globally through established physical and social vectors.
This special issue on climate change will attempt to improve our readership’s resolve to take action by providing demonstrated contributions to understanding and predicting climate and climate-related trends, as well as motivating others to get involved by raising awareness to increase their personal resolve. We welcome contributions from a diverse set of domains that contribute to improving climate-change research and awareness, including information visualization, computer science, HCI, art, design, engineering, scientific method, psychology, and pedagogy. Topics of interest to this special issue include, but are not limited to:
This special issue welcomes general submissions on any of the above or closely related topics in the wider context of climate change. We require original submissions, i.e., those that have not been previously submitted and/or published (in any form) in other venues. Outstanding contributions that significantly extend existing work previously published in other venues will be considered, provided they contribute at least 50% new original work. Authors of such major added-value extensions must cite the original work and clearly identify the new content extending the original contribution.
For author guidelines and information on how to submit a manuscript, visit https://www.computer.org/publications/author-resources/peer-review/magazines.
For full paper submission, visit https://mc.manuscriptcentral.com/cga-cs.
There is a strict 8,000-word limit, with tables and figures equivalent to 200 words each. There is a maximum of 20 references for final manuscripts. Authors should be aware that CG&A cannot accept or process papers that exceed this word limit. Articles should be understandable by a broad audience of computer science and engineering professionals, avoiding a focus on theory, mathematics, jargon, and abstract concepts. All manuscripts must be submitted to ScholarOne Manuscripts by the deadline in order to be considered for publication. Submissions are subject to peer review on both technical merit and relevance to CG&A readership. Accepted papers must be well written and understandable, as the level of editing will be a light copyedit. For accepted papers, authors will be required to provide electronic files for each figure according to the following guidelines: for graphs and charts, authors must submit them in their original editable source format (PDF, Visio, Excel, Word, PowerPoint, etc.); for screenshots or photographs, authors must submit high-resolution files (300 dpi or higher at the largest possible dimensions) in JPEG or TIFF formats.
Please direct any pre-submission correspondence to the guest editors at cga6-2020@computer.org.
