Call for Papers: Special Issue on Data Science in Action in Response to the Outbreak of COVID-19
2020-03-06
Call for Papers: Special Issue on Data Science in Action in Response to the Outbreak of COVID-19
Journal of Data Science
Jornal of Data Science (http://jds.ruc.edu.cn/; http://jds-online.com) invites submissions for a special issue on Data Science in Action in Response to the Outbreak of COVID-19. The outbreak of COVID-19 that started in Wuhan in December, 2019 has become a global pandemic. Data scientists, along with experts from other ?elds around the world, ?ght to address the challenges at this critical moment. Many data have been made publicly available and are being updated on a daily basis. A variety of novel data science applications have appeared to address challenges that are of public health importance as well as of societal, economic,andenvironmentalconcerns. Thisspecialissueaimstodisseminatethecontributions after an accelerated review process to the widest audience.
The contributions can be from any branch of data science, including mathematics, statistics, epidemiology, economics, computer science, and engineering, to name but a few, as long as theyarerelevanttothepandemicofCOVID-19. Cutting-edgeworksinbigdata, visualization, machine learning, and arti?cial intelligence are welcome as well as classic methodological and applied works. The contribution can target any of our newly opened sections (Computing in Data Science; Data Science in Action; Tutorials on Data Science Techniques; Education in Data Science) or beyond, of time-sensitivity or lasting impact.
The deadline of the ?rst round is April 30, 2020; after that, manuscripts will be continuously accepted. All manuscripts submitted must contain original unpublished work that is not being submitted for publication elsewhere. Submitted manuscripts will go through the regular but accelerated (3-4 weeks) review process. Accepted manuscript will be published online immediately.
Started in 2003, Journal of Data Science publishes research works on a wide range of topics that involve understanding and making e?ective use of ?eld data. The recently added sections are also calling for submissions. As the whole world ?ghts COVID-19, data scientists rise to make a di?erence with our skills. We are con?dence that the special issue will be a success, re?ecting state-of-art data science research and practice. We look forward to receiving your submissions.
Dean Follmann (Co-Guest-Editor), National Institute of Allergy and Infectious Disease
Peter XK Song (Co-Guest-Editor), University of Michigan
Hangsheng Wang (Co-Guest-Editor), Peking University
Jun Yan (Editor-Elect), University of Connecticut
Contact: