Dear Colleagues,
Journal 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 fields around the world, fight 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, and environmental
concerns. This special issue aims to disseminate the contributions
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 they are relevant to
the pandemic of COVID-19. Cutting-edge works in big data,
visualization, machine learning, and artificial 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 first 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must contain original unpublished work that is not being submitted for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 effective
use of field data. The recently added sections are also calling for
submissions. As the whole world fights COVID-19, data scientists rise
to make a difference with our skills. We are confidence that the
special issue will be a success, reflecting 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