IEEE Computer Graphics and Applications
IEEE CG&A Special Issue on Sports Data Visualization
Final submissions due: 1 January 2016
Publication date: September/October 2016
Few areas involve, generate, and celebrate data in the same manner as sports. For every major sport, analysts can and often do extract large amounts of data, which can be leveraged by media and fans (for entertainment), athletes (to improve individual performance), and organizations (to yield a deeper understanding of the sport itself). At the same time, we are seeing a surge in personal fitness and sports data generated by wearable technologies. Massive amounts of data are also generated and used for sports medicine applications, including preventative care and rehabilitation. Although statistical analysis has dominated much of the sports domain, there is a growing interest in applying visualization presentation and exploration tools to a broad range of sports data. Prior research includes techniques, systems, and applications for visualizing sports data presented at the IEEE InfoVis (Information Visualization), ACM CHI, IACSS (International Association of Computer Science in Sport), and MIT Sloan Sports Analytics conferences. Yet, much remains to be done.
For this special issue, we are particularly interested in submissions that describe and discuss innovative visualization applications applied broadly to the sports and personal fitness domains. Topics of interests include, but aren’t limited to, the following applications:
- Visualization for player and team management (such as performance, recruiting, and health)
- Visualization for sports media and entertainment (such as fantasy sports, television, and social media)
- Visualization for operational management (such as team, franchises, marketing, and ticketing)
- Visualization for sports medicine applications (such as preventative and rehab)
- Visualization of personal fitness and sports data (such as performance and nutrition)
- Domain studies (soccer, football, basketball, tennis, golf, racing, and so on)
Please direct any correspondence before submission to the guest editors:
- Rahul C. Basole (firstname.lastname@example.org), Georgia Institute of Technology
- Dietmar Saupe (email@example.com), University of Konstanz
Nondepartment articles submitted to IEEE CG&A should not exceed 8,000 words, including the main text, abstract, keywords, bibliography, biographies, and table text, where a page is approximately 800 words. Articles should include no more than 10 figures or images. Each 1/4 page figure, image, and table counts for approx. 200 words. Note that all tables, images, and illustrations must be appropriately scaled and legible; larger elements should be accounted for accordingly with respect to word count. Please limit the number of references to the most relevant and ensure to delineate your work from relevant past articles in CG&A. Furthermore, avoid an excessive number of references to published work that might only be marginally relevant. Consider instead providing such pertinent background material in sidebars for nonexpert readers. Visit the CG&A style and length guidelines at www.computer.org/web/peer-review/magazines. We also strongly encourage you to submit multimedia (videos, podcasts, and so on) to enhance your article. Visit the CG&A supplemental guidelines at www.computer.org/web/peer-review/magazines.
Please submit your paper using the online manuscript submission service at https://mc.manuscriptcentral.com/cs-ieee. When uploading your paper, select the appropriate special issue title under the category “Manuscript Type.” Also, include complete contact information for all authors. If you have any questions about submitting your article, contact the peer review coordinator at firstname.lastname@example.org.