A Journal for Human and Machine
Author
Hendler, James A.; Ding, Ying; Mons, BarendOther Contributors
Date Issued
2019-03-01Degree
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Attribution-NonCommercial-NoDerivs 3.0 United StatesFull Citation
James Hendler, Ying Ding, Barend Mons; A Journal for Human and Machine. Data Intelligence 2019; 1 (1): 1–5. doi: https://doi.org/10.1162/dint_e_00001Metadata
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It is with great pride that the Chinese Academy of Sciences and the MIT Press bring you this new journal of Data Intelligence. This journal has at least two major purposes that we hope embrace. First, it will embrace the traditional role of a journal in helping to facilitate the communication of research and best practices in scientific data sharing, especially across disciplines, an area that is continually growing in importance for the modern practice of science. Second, we will be experimenting with new methods of enhancing the sharing of this communication, and examples of the field, by utilizing the increasing power of intelligent computing systems to further facilitate the growth of the field. The journals’ title, combining “data,” the field we will support, and “intelligence,” a means to that end, is meant to connote this growing interaction.;Department
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MIT PressRelationships
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