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call for contributions to a special issue of JDS: Data Science Meets Social Sciences

  • 1.  call for contributions to a special issue of JDS: Data Science Meets Social Sciences

    Posted 12-19-2021 06:26
    Dear Colleagues,

    This is a reminder that the deadline of contributions to this special
    issue is December 31, 2021.

    Happy Holidays!
    Jun Yan
    Editor, Journal of Data Science

    On Wed, Mar 10, 2021 at 6:33 AM Jun Yan <jyan.statistics@gmail.com> wrote:
    >
    > Call for Contributions:
    >
    > Special Issue of Journal of Data Science on
    > Data Science Meets Social Sciences
    > Deadline: December 31, 2021
    >
    > Journal of Data Science (http://jds-online.org) invites submissions
    > for a special issue on “Data Science Meets Social Sciences”. Data
    > science is playing an increasingly important role in the social
    > sciences through the use of a wide variety of data (e.g., structured
    > and unstructured, quantitative and qualitative) to facilitate our
    > understanding of human and society. The social sciences, historically
    > rich in theories and contextual knowledge, are well positioned to
    > transform data products into meaningful decisions and practices. This
    > special issue is dedicated to the conjunction of data science and the
    > social sciences. It aims to discuss topics including but not limited
    > to (1) methodological innovations in data science with applications to
    > a social science domain; (2) applications of the state-of-art data
    > science approaches that lead to new discoveries in the social
    > sciences; (3) the role of the social science in developing data
    > science tools; (4) unique challenges and opportunities that scientists
    > are facing in the intersection of data science and the social
    > sciences.
    >
    > The contributions can be from any branch of data science or related
    > fields (e.g., math- ematics, statistics, epidemiology, economics,
    > computer science, and engineering) and the social sciences (including
    > but not limited to anthropology, communication, economics, ed-
    > ucation, linguistics, political science, psychology, and sociology).
    > Cutting-edge works in big data, visualization, machine learning, and
    > artificial intelligence are welcome as well as classic methodological
    > and applied works. The contributions can target any of our newly
    > opened sections (Philosophies of Data Science; Statistical Data
    > Science; Computing in Data Science; Data Science in Action; Data
    > Science Review; Education in Data Science) or beyond, of
    > time-sensitivity or lasting impact. All manuscripts submitted must
    > contain original unpublished work that is not being submitted for
    > publication elsewhere. Submitted manuscripts will go through the
    > regular, fast (3-4 weeks) review process. Accepted manuscripts will be
    > published online immediately. To submit, please visit https:
    > //jds-online.org/journal/JDS/information/instructions-for-authors and
    > mention the special issue in a cover note. A tentative deadline is
    > December 31, 2021.
    >
    > 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 journal has been reformed since July 2020 to
    > better serve the data science community in the era of data science. We
    > are confident that the special issue will advance our understanding of
    > how to bridge data science and the social sciences. We look forward to
    > receiving your submissions.
    >
    > Guest Editors:
    > Elena A. Erosheva, Department of Statistics, School of Social Work,
    > and the Center for Statistics and the Social Sciences, University of
    > Washington
    > Shahryar Minhas, Department of Political Science, Michigan State University
    > Gongjun Xu, Department of Statistics, University of Michigan
    > Ran Xu, Department of Allied Health Sciences, University of Connecticut</jyan.statistics@gmail.com>